Design implications of incorporating employee profiles and workplace activity levels in travel demand management led parking demand assessments

CSIR Research Space (South Africa)

Letebele, MO

2008-07-01

Full Text Available spaces when the demand for parking is ever increasing. A more fundamental question, however, is how to better understand travel behaviour to enable the design of sustainable transport services, of which parking form part, in line with policy instruments...

Active travel co-benefits of travel demand management policies that reduce greenhouse gas emissions.

Science.gov (United States)

2014-04-01

There is increasing evidence that improved health outcomes may be a significant co-benefit of land use plans and transport policies : that increase active transport (or active travel)walking, biking or other physical activity for the purpose...

Travel demand modeling for the small and medium sized MPOs in Illinois.

Science.gov (United States)

2011-09-01

Travel demand modeling is an important tool in the transportation planning community. It helps forecast travel : characteristics into the future at various planning levels such as state, region and corridor. Using travel demand : modeling to evaluate...

Roadway network productivity assessment : system-wide analysis under variant travel demand

Science.gov (United States)

2008-11-01

The analysis documented in this report examines the hypothesis that the system-wide productivity of a metropolitan freeway system in peak periods is higher in moderate travel demand conditions than in excessive travel demand conditions. The approach ...

The effect of stress tolerance on dynamics of activity-travel behavior : numerical simulation results

NARCIS (Netherlands)

Psarra, I.; Arentze, T.A.; Timmermans, H.J.P.

2014-01-01

The primary and secondary effects of various spatial and transportation policies can be evaluated with models of activity–travel behavior. Whereas existing activity-based models of travel demand simulate a typical day, dynamic models simulate behavioral response to endogenous or exogenous change,

Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

Energy Technology Data Exchange (ETDEWEB)

Garikapati, Venu M. [Systems Analysis and Integration Section, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401; You, Daehyun [Maricopa Association of Governments, 302 North First Avenue, Suite 300, Phoenix, AZ 85003; Zhang, Wenwen [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Pendyala, Ram M. [School of Sustainable Engineering and the Built Environment, Arizona State University, 660 South College Avenue, Tempe, AZ 85281; Guhathakurta, Subhrajit [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Brown, Marilyn A. [School of Public Policy, 685 Cherry Street, Georgia Institute of Technology, Atlanta, GA 30332; Dilkina, Bistra [School of Computational Science and Engineering, 266 Ferst Drive, Georgia Institute of Technology, Atlanta, GA 30332

2017-01-01

This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

Measuring inaccuracy in travel demand forecasting

DEFF Research Database (Denmark)

Flyvbjerg, Bent

2005-01-01

as the basis for measurement. This paper presents the case against both objections. First, if one is interested in learning whether decisions about building transport infrastructure are based on reliable information, then it is exactly the traffic forecasted at the time of making the decision to build......Project promoters, forecasters, and managers sometimes object to two things in measuring inaccuracy in travel demand forecasting: (1)using the forecast made at the time of making the decision to build as the basis for measuring inaccuracy and (2)using traffic during the first year of operations...... that is of interest. Second, although ideally studies should take into account so-called demand ??ramp up?? over a period of years, the empirical evidence and practical considerations do not support this ideal requirement, at least not for large- N studies. Finally, the paper argues that large samples of inaccuracy...

Modeling context-sensitive, dynamic activity travel behavior by linking short-and long-term responses to accumulated stress

NARCIS (Netherlands)

Psarra, I.; Liao, F.; Arentze, T.A.; Timmermans, H.J.P.

2014-01-01

As existing activity-based models of travel demand simulate activity travel patterns for a typical day, dynamic models simulate behavioral response to endogenous or exogenous change along various time horizons. Prior research predominantly addressed a specific kind of change, which usually affected

Modelling the effects of social networks on activity and travel behaviour

NARCIS (Netherlands)

Ronald, N.A.

2012-01-01

Activity-based models of transport demand are increasingly used by governments, engineering firms and consultants to predict the impact of various design and planning decisions on travel and consequently on noise emissions, energy consumption, accessibility and other performance indicators. In this

Location choice in the context of multi-day activity-travel patterns : model development and empirical results

NARCIS (Netherlands)

Arentze, T.A.; Ettema, D.F.; Timmermans, H.J.P.

2013-01-01

Multi-day activity-based models of travel demand are receiving increasing interest recently as successors of existing single-day activity-based models. In this article, we argue that predicting activity location choice-sets can no longer be ignored when multi-day time frames are adopted in these

Simulating choice set formation processes in a model of endogenous dynamics of activity-travel behavior : The effect of awareness parameters

NARCIS (Netherlands)

Psarra, I.; Arentze, T. A.; Timmermans, H. J P

2015-01-01

Models of activity-travel behavior can be a useful tool in order to predict the direct or secondary effects of various spatial, transportation or land-use policies. Whereas existing activity-based models of travel demand focus on a static, typical day, dynamic models simulate behavioral response to

Demand modelling of passenger air travel: An analysis and extension, volume 2

Science.gov (United States)

Jacobson, I. D.

1978-01-01

Previous intercity travel demand models in terms of their ability to predict air travel in a useful way and the need for disaggregation in the approach to demand modelling are evaluated. The viability of incorporating non-conventional factors (i.e. non-econometric, such as time and cost) in travel demand forecasting models are determined. The investigation of existing models is carried out in order to provide insight into their strong points and shortcomings. The model is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed. In addition this volume contains two appendices which should prove useful to the non-specialist in the area.

Simulation of ridesourcing using agent-based demand and supply regional models : potential market demand for first-mile transit travel and reduction in vehicle miles traveled in the San Francisco Bay Area.

Science.gov (United States)

2016-01-01

In this study, we use existing modeling tools and data from the San Francisco Bay Area : (California) to understand the potential market demand for a first mile transit access service : and possible reductions in vehicle miles traveled (VMT) (a...

New credit mechanism for semicooperative agent-mediated joint activity-travel scheduling : negotiating with incomplete information

NARCIS (Netherlands)

Ma, H.; Ronald, N.A.; Arentze, T.A.; Timmermans, H.J.P.

2011-01-01

Joint activities have been investigated primarily in the context of household-based models of travel demand. The joint decision requires agreement about several issues. Each participant, on the one hand, tries to cooperate with others to reach an agreement on the joint activity and, on the other

Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior

Science.gov (United States)

Nijland, Linda; Arentze, Theo; Timmermans, Harry

2014-01-01

Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of individuals indicate the importance of incorporating those pre-planned activities in the new generation of dynamic travel demand models. Elaborating and combining previous work on event-driven activity generation, the aim of this paper is to develop and illustrate an extension of a need-based model of activity generation that takes into account possible influences of pre-planned activities and events. This paper describes the theory and shows the results of simulations of the extension. The simulation was conducted for six different activities, and the parameter values used were consistent with an earlier estimation study. The results show that the model works well and that the influences of the parameters are consistent, logical, and have clear interpretations. These findings offer further evidence of face and construct validity to the suggested modeling approach.

Exploring the Positive Utility of Travel and Mode Choice

Science.gov (United States)

2017-08-01

Why do people travel? Underlying most travel behavior research is the derived-demand paradigm of travel analysis, which assumes that travel demand is derived from the demand for spatially separated activities, traveling is a means to an end (reaching...

PETRA. The Travel Demand Module - Estimation and Validation. PETRA working paper no. 7

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-09-01

The Travel Demand Module (TDM) is one of the more significant elements within the PETRA system. The TDM consists of a number of discrete sub-models that attempt to represent individual and household behaviour in a number of areas, including licence holding, an cohort effects, changes in the extent and composition of the car fleet, and mode and destination choice. The Chain Choice model uses the measure of accessibility, the logsum, derived from the mode and destination choice models, in addition to socio-demographic variables to explain chain choice. This model is an extension of the idea underlying the traditional frequency model, and has been inspired, in part, by the developments in activity based modelling. (EG) EFP-94. 20 refs.

Effects of travel cost and participation in recreational activities on national forest visits

Science.gov (United States)

Seong-Hoon Cho; J.M. Bowker; Donald B.K. English; Roland K. Roberts; Taeyoung Kim

2014-01-01

In the face of higher travel costs due to rising gasoline prices and scarce budget resources,we explored differences in the impacts of travel costs on recreational demand for visitors participating in various recreational activities. Five individual travel cost models were estimated, one for each of 5 national forests (i.e., Allegheny, Coconino, Mount Baker-Snoqualmie...

Travel demand policies for saving oil during a supply emergency

International Nuclear Information System (INIS)

Noland, Robert B.; Cowart, William A.; Fulton, Lewis M.

2006-01-01

An area of growing concern is the future stability of oil producing regions and the ability to maintain stability in international petroleum markets. The transport sector, in particular, is extremely vulnerable to short-term supply disruptions with consequent implications on economic activities in most countries. This paper analyses potential transport demand restraint strategies that could potentially mitigate the impact of short-term supply disruptions. Our analysis includes estimates of the potential fuel savings from several policies. Specifically, we examine various work-based policies (telecommuting, flexible work schedules), the potential of carpooling, speed limit reductions, driving bans and restrictions, increased public transport usage, and providing information on the effect of maintaining optimal tire pressures. The analysis uses various assumptions based on existing knowledge about how travelers may respond under emergency conditions to develop estimates of potential fuel savings. Results suggest that the most restrictive policies, such as driving bans and mandatory carpooling are the most effective. Other policies provide small reductions with some, such as telecommuting and flexible work schedules, having the potential to be easily implemented. Those policies, focussed on encouraging public transport use, are less effective and potentially more costly to implement

Travel demand policies for saving oil during a supply emergency

Energy Technology Data Exchange (ETDEWEB)

Noland, Robert B. [Department of Civil and Environmental Engineering, Centre for Transport Studies, Imperial College London, London SW7 2AZ (United Kingdom)]. E-mail: r.noland@imperial.ac.uk; Cowart, William A. [ICF Consulting, Ltd., Egmont House, 25-31 Tavistock Place, Bloomsbury, London, WC1H 9SU (United Kingdom); Fulton, Lewis M. [International Energy Agency, 9 Rue de la Federation, Paris 75015 (France)

2006-11-15

An area of growing concern is the future stability of oil producing regions and the ability to maintain stability in international petroleum markets. The transport sector, in particular, is extremely vulnerable to short-term supply disruptions with consequent implications on economic activities in most countries. This paper analyses potential transport demand restraint strategies that could potentially mitigate the impact of short-term supply disruptions. Our analysis includes estimates of the potential fuel savings from several policies. Specifically, we examine various work-based policies (telecommuting, flexible work schedules), the potential of carpooling, speed limit reductions, driving bans and restrictions, increased public transport usage, and providing information on the effect of maintaining optimal tire pressures. The analysis uses various assumptions based on existing knowledge about how travelers may respond under emergency conditions to develop estimates of potential fuel savings. Results suggest that the most restrictive policies, such as driving bans and mandatory carpooling are the most effective. Other policies provide small reductions with some, such as telecommuting and flexible work schedules, having the potential to be easily implemented. Those policies, focussed on encouraging public transport use, are less effective and potentially more costly to implement.

HIV and travel.

Science.gov (United States)

Schuhwerk, M A; Richens, J; Zuckerman, Jane N

2006-01-01

There is a high demand for travel among HIV-positive individual. This demand arises partly from those who have benefited from advances in antiretroviral therapy as well as those with disease progression. The key to a successful and uneventful holiday lies in careful pre-trip planning, yet many patients fail to obtain advice before travelling. Travel advice for HIV patients is becoming increasingly specialized. In addition to advice on common travel-related infectious diseases, HIV-positive travellers are strongly advised to carry information with them and they need specific advice regarding country entry restrictions, HIV inclusive travel insurance, safety of travel vaccinations and highly active antiretroviral therapy-related issues. A wide range of relevant issues for the HIV-positive traveller are discussed in this review and useful websites can be found at the end.

Demand modelling of passenger air travel: An analysis and extension. Volume 1: Background and summary

Science.gov (United States)

Jacobson, I. D.

1978-01-01

The framework for a model of travel demand which will be useful in predicting the total market for air travel between two cities is discussed. Variables to be used in determining the need for air transportation where none currently exists and the effect of changes in system characteristics on attracting latent demand are identified. Existing models are examined in order to provide insight into their strong points and shortcomings. Much of the existing behavioral research in travel demand is incorporated to allow the inclusion of non-economic factors, such as convenience. The model developed is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed.

Effect of fare and travel time on the demand for domestic air transportation

Science.gov (United States)

Eriksen, S. E.; Liu, E. W.

1979-01-01

An econometric travel demand model was presented. The model was used for analyzing long haul domestic passenger markets in the United States. The results showed the sensitivities of demand to changes in fares and speed reflecting technology through more efficient aircraft designs.

Multiagent-Based Simulation of Temporal-Spatial Characteristics of Activity-Travel Patterns Using Interactive Reinforcement Learning

Directory of Open Access Journals (Sweden)

Min Yang

2014-01-01

Full Text Available We propose a multiagent-based reinforcement learning algorithm, in which the interactions between travelers and the environment are considered to simulate temporal-spatial characteristics of activity-travel patterns in a city. Road congestion degree is added to the reinforcement learning algorithm as a medium that passes the influence of one traveler’s decision to others. Meanwhile, the agents used in the algorithm are initialized from typical activity patterns extracted from the travel survey diary data of Shangyu city in China. In the simulation, both macroscopic activity-travel characteristics such as traffic flow spatial-temporal distribution and microscopic characteristics such as activity-travel schedules of each agent are obtained. Comparing the simulation results with the survey data, we find that deviation of the peak-hour traffic flow is less than 5%, while the correlation of the simulated versus survey location choice distribution is over 0.9.

An Analysis Of Travel Demand Determinants In A Developing City ...

African Journals Online (AJOL)

In analyzing travel demand determinants in Ijebu-Ode Township, data collected for the study were analyzed by using multiple linear regressions. The study found out that school, work (formal and informed) and shopping trips accounted for about 77% of the total volume of trips generated in the study area. Likewise ...

Incorporating traveler response to pricing policies in comprehensive activity-based models of transport demand

NARCIS (Netherlands)

Khademi, E.; Timmermans, H.J.P.

2011-01-01

The growing number of studies and continued policy interest in road pricing strategies and technologies represent new challenges to transportation researchers in their attempt to better understand and predict the impact of various pricing strategies on travel behavior. We contend that these policies

EV Charging Analysis Based on the National Travel Surveys of the Nordic Area

DEFF Research Database (Denmark)

Liu, Zhaoxi; Wu, Qiuwei

2014-01-01

This paper presents the charging demand profiles of electric vehicles (EVs) based on the National Travel Surveys of the Nordic area. The EV charging analysis is carried out considering different types of charging patterns which are dumb charging, timed charging and spot price based charging....... The driving behavior of the vehicles is studied through the National Travel Surveys of Denmark, Finland, Norway and Sweden. The features of the charging demand are discussed based on the results of the analysis. The study in this paper provides an estimation of the possible level and patterns of the EV...

PROMOTIONAL ACTIVITIES FOR THE PURPOSE OF IMPROVING THE OFFER OF TRAVEL AGENCIES IN PRIMORJEGORSKI KOTAR COUNTY–CROATIA

Directory of Open Access Journals (Sweden)

Jasna Lasinger Siladjev

2017-06-01

Full Text Available The purpose of this paper is to stress the importance of promotional activities in advancing offers of travel agencies and their overall business profitability. More specifically, the paper examines elements of the promotional mix used by travel agencies when communicating with their customers; it is divided into six parts which delineate the characteristics of travel agencies on the tourism market, the specifics of marketing communication on the tourism market, promotional activities of travel agencies, and promotional activities of travel agencies in Primorje-Gorski Kotar County, based on previously conducted empirical research. On the turbulent tourism market, it is common that tourist demand changes from day to day; therefore, it is important to monitor these changes to create products according to new tourist needs. After creating a product, it is crucial to select that element of the promotional mix that will present the new product on the tourism market in the best possible way so that it attracts the highly coveted-tourists. To research this issue, surveys of employees in marketing departments of travel agencies were conducted which, along with other research methods, produced the final and significant results.

Travel demand management in the context of promoting bike trips, an overview of solutions implemented in Cracow

Directory of Open Access Journals (Sweden)

Katarzyna NOSAL

2015-06-01

Full Text Available Car traffic in cities causes a decrease in travel speed, irregularity of public transport operation and, as a consequence for travellers, significant time losses. Because of congestion the accessibility to the destination points, especially those that are located in the city centre, is threatened. Other difficulties concern: road safety, increasing air pollution, traffic noise and global warming. Construction of new roads and transport facilities requires large financial resources and covers large areas. City authorities implement many solutions to reduce these negative effects of car transport, including strategies which aim towards change in travel patterns. Inhabitants are encouraged to travel by more sustainable transport modes, including bikes. The concept is called travel demand management and in Poland is still a new approach to the passenger transport. This paper presents examples of instruments that are most commonly used abroad to encourage bike travels and an overview of the activities carried out to promote bike usage in Cracow. The paper also identifies Best Practices implemented in the area of Cracow and significant deficiencies in the basic issues and actions necessary to be undertaken in the future.

Treatment of Travel Expenses by Golf Course Patrons: Sunk or Bundled Costs and the First and Third Laws of Demand

OpenAIRE

Matt, Brown; Daniel, Rascher; Chad, McEvoy; Mark, Nagel

2007-01-01

To attract golf patrons, sport managers must understand consumption patterns of the golfer. Importantly, the treatment of travel costs must be understood. According to the Alchian-Allen (1964) theorem, golfers treat travel costs as bundled costs (third law of economic demand) whereas classical consumer theory indicates that golfers treat travel costs as sunk costs (first law of economic demand). The purpose of this study was to determine if golf patrons treated travel costs as sunk costs o...

Population-Level Exposure to Particulate Air Pollution during Active Travel: Planning for Low-Exposure, Health-Promoting Cities.

Science.gov (United States)

Hankey, Steve; Lindsey, Greg; Marshall, Julian D

2017-04-01

Providing infrastructure and land uses to encourage active travel (i.e., bicycling and walking) are promising strategies for designing health-promoting cities. Population-level exposure to air pollution during active travel is understudied. Our goals were a ) to investigate population-level patterns in exposure during active travel, based on spatial estimates of bicycle traffic, pedestrian traffic, and particulate concentrations; and b ) to assess how those exposure patterns are associated with the built environment. We employed facility-demand models (active travel) and land use regression models (particulate concentrations) to estimate block-level ( n = 13,604) exposure during rush-hour (1600-1800 hours) in Minneapolis, Minnesota. We used the model-derived estimates to identify land use patterns and characteristics of the street network that are health promoting. We also assessed how exposure is correlated with indicators of health disparities (e.g., household income, proportion of nonwhite residents). Our work uses population-level rates of active travel (i.e., traffic flows) rather than the probability of walking or biking (i.e., "walkability" or "bikeability") to assess exposure. Active travel often occurs on high-traffic streets or near activity centers where particulate concentrations are highest (i.e., 20-42% of active travel occurs on blocks with high population-level exposure). Only 2-3% of blocks (3-8% of total active travel) are "sweet spots" (i.e., high active travel, low particulate concentrations); sweet spots are located a ) near but slightly removed from the city-center or b ) on off-street trails. We identified 1,721 blocks (~ 20% of local roads) where shifting active travel from high-traffic roads to adjacent low-traffic roads would reduce exposure by ~ 15%. Active travel is correlated with population density, land use mix, open space, and retail area; particulate concentrations were mostly unchanged with land use. Public health officials and

A multi-agent activity-based model of facility location choice and use

NARCIS (Netherlands)

Arentze, Theo; Timmermans, Harry

2007-01-01

Recent years have seen the development of several operational activity-based models of travel demand. Although the advantage of the activity-based approach over trip-based and tour-based approaches has been demonstrated, applications in integrated land-use transport models have not yet been

Individual Travel Behavior Modeling of Public Transport Passenger Based on Graph Construction

Directory of Open Access Journals (Sweden)

Quan Liang

2018-01-01

Full Text Available This paper presents a novel method for mining the individual travel behavior regularity of different public transport passengers through constructing travel behavior graph based model. The individual travel behavior graph is developed to represent spatial positions, time distributions, and travel routes and further forecasts the public transport passenger’s behavior choice. The proposed travel behavior graph is composed of macronodes, arcs, and transfer probability. Each macronode corresponds to a travel association map and represents a travel behavior. A travel association map also contains its own nodes. The nodes of a travel association map are created when the processed travel chain data shows significant change. Thus, each node of three layers represents a significant change of spatial travel positions, travel time, and routes, respectively. Since a travel association map represents a travel behavior, the graph can be considered a sequence of travel behaviors. Through integrating travel association map and calculating the probabilities of the arcs, it is possible to construct a unique travel behavior graph for each passenger. The data used in this study are multimode data matched by certain rules based on the data of public transport smart card transactions and network features. The case study results show that graph based method to model the individual travel behavior of public transport passengers is effective and feasible. Travel behavior graphs support customized public transport travel characteristics analysis and demand prediction.

Danish long distance travel A study of Danish travel behaviour and the role of infrequent travel activities

DEFF Research Database (Denmark)

Knudsen, Mette Aagaard

2014-01-01

, this is problematic. The average travel distance has steadily increased during the latest decades together with the increasing motorisation of daily travel and international aviation. Previously most focus has been on domestic daily travel activities, but globalisation has, together with changes in price structures......), the TU overnight survey, and the Danish Tourism Statistics from the Business and Holiday Survey (HBS). This has enabled focus on infrequent travel activities segmented relative to travel purpose, distance threshold, or travelling with overnight stays. At an overall level the thesis has three main.......g. socio-economic variables. The analysis of Danish travel activities described in the three different travel surveys has outlined detailed information on Danish travel behaviour at an aggregated level during the past two decades. It has above all revealed the significant role of leisure travel. Private...

Wilderness Recreation Demand: A Comparison of Travel Cost and On-Site Cost Models

Science.gov (United States)

J.M. Bowker; A. Askew; L. Seymour; J.P. Zhu; D. English; C.M. Starbuck

2009-01-01

This study used travel cost and on-site day cost models, coupled with the Forest Service’s National Visitor Use Monitoring data, to examine the demand for and value of recreation access to designated Wilderness.

A need-based approach to dynamic activity generation

NARCIS (Netherlands)

Nijland, E.W.L.

2011-01-01

Traffic congestion is still an everyday reoccurring problem. Models that predict traffic flows have been developed in the past and, in particular, considerable progress has been made in development and application of activity-based travel demand models over the last decade. However, several issues

Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand

Energy Technology Data Exchange (ETDEWEB)

Auld, Joshua [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439; Sokolov, Vadim [Department of Systems Engineering and Operations Research, Volgenau School of Engineering, George Mason University, MS 4A6, 4400 University Drive, Fairfax, VA 22030; Stephens, Thomas S. [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439

2017-01-01

Connected–automated vehicle (CAV) technologies are likely to have significant effects not only on how vehicles operate in the transportation system, but also on how individuals behave and use their vehicles. While many CAV technologies—such as connected adaptive cruise control and ecosignals—have the potential to increase network throughput and efficiency, many of these same technologies have a secondary effect of reducing driver burden, which can drive changes in travel behavior. Such changes in travel behavior—in effect, lowering the cost of driving—have the potential to increase greatly the utilization of the transportation system with concurrent negative externalities, such as congestion, energy use, and emissions, working against the positive effects on the transportation system resulting from increased capacity. To date, few studies have analyzed the potential effects on CAV technologies from a systems perspective; studies often focus on gains and losses to an individual vehicle, at a single intersection, or along a corridor. However, travel demand and traffic flow constitute a complex, adaptive, nonlinear system. Therefore, in this study, an advanced transportation systems simulation model—POLARIS—was used. POLARIS includes cosimulation of travel behavior and traffic flow to study the potential effects of several CAV technologies at the regional level. Various technology penetration levels and changes in travel time sensitivity have been analyzed to determine a potential range of effects on vehicle miles traveled from various CAV technologies.

The role of travel mode in engagement with a Radio Frequency ID chip based school physical activity intervention

Directory of Open Access Journals (Sweden)

Emma Coombes

2015-10-01

Full Text Available Background: The prevalence of active travel to school in children is low and declining. For example, the 2014 National Travel Survey showed that just 46% of primary school children walk to school. This is despite the fact that children who actively travel have been shown to be more physically active overall as well as perform better in class. Beat the Street is a community based intervention which uses RFID (Radio Frequency ID chip readers attached to locations around the neighbourhood. The aim of the intervention is to encourage walking and cycling by gamifying these travel behaviours; individuals taking part gain points by touching a smartcard on the readers and these points become part of a competition. One of the aims of Beat the Street is to encourage children who already walk and cycle to and from school to do so more, as well as achieve modal shift from motorised transport to active travel as a means of commuting. However, habitual travel mode is ‘sticky’ and, despite the potential health benefits being greater, it may be more difficult to change mode than it is to encourage more activity in those who already walk or cycle. Set in a neighbourhood in the city of Norwich, England, this analysis examines how travel mode prior to the initiation of Beat the Street is associated with subsequent engagement with the intervention and what the association of this engagement is with physical activity change. Aim: This pilot study evaluates how prior travel mode to school is associated with engagement in the Beat the Street intervention in schoolchildren in the city of Norwich, England. Methods: The Beat the Street intervention was conducted within a Norwich neighbourhood for 9 weeks during May-July 2014. Children were recruited to the evaluation via two schools; one in the intervention neighbourhood, and a control located on the opposite side of the city. All year 4 and 5 children (aged 8-10 years were invited at both schools. Recruited children

Demand estimation of bus as a public transport based on gravity model

Directory of Open Access Journals (Sweden)

Asmael Noor

2018-01-01

Full Text Available Bus as a public transport is a suitable service to meet the travel demand between any two zones. Baghdad faced with severe traffic problems along with the development in city size and economy. Passengers have to wait lots of time during commutation to work because of the serious traffic jams. In the last years, rate of car ownership has increased as income levels have gone up and cars have become a preferable mode of transport. Bus, as the only public mode of transport available, is suffering from inconvenience, slowness, and inflexibility. A big emphasis must be given to the public transport system because it introduces an active utilization of limited resources, energy and land. This study determines the demand of public routes for buses using boarding / alighting values to generate a model and assign these demand values to the bus network. Five public routes were selected to collect the required data. Ride check and Point check survey was conducted for each selected route. The results of this study were public demand assigned to the selected bus routes, dwell time, load factor and headway. It is observed that R1 and R3 have the heaviest travel demand; they need special study to improve bus performance and make better transit. The model developed with only limited data available to predict travel demand will assist transportation planners and related agencies in decision making.

Danish travel activities: do we travel more and longer – and to what extent?

DEFF Research Database (Denmark)

Knudsen, Mette Aagaard

Two separate Danish National travel surveys are analysed to outline the amount and extent of national and international travelling during the latest 15-20 years; the national travel survey (TU) describes mainly national daily travel activities, whereas the holiday and business travel survey...... describes national and international travel activities including overnight stay(s). When sampling only respondents with trips above 100 kilometres, they only accounts for around 2% of all daily travel activities, however, this share appears to increase and suggest in general that we do travel longer....... But due to this limited share of trips, the overall impacts of longer distance travelling vanish when considering all daily travel activities. Especially as about 95% of all daily travel destinations range less than 50 kilometres away and in total induce an average trip length of 20 kilometres. If focus...

Effect of travel distance on household demand for typhoid vaccines: implications for planning.

Science.gov (United States)

Kim, Dohyeong; Lauria, Donald T; Poulos, Christine; Dong, Baiqing; Whittington, Dale

2014-01-01

Typhoid fever causes millions of illnesses and hundreds of thousands of deaths yearly. Vaccinations would mitigate this problem, but the users would probably have to pay some or most of the cost. Several willingness-to-pay studies have assessed the effect of price on private demand to provide a basis for financial planning of campaigns, but the effect of travel distance, which is a potentially important determinant of demand, has not been studied. This paper thus has two objectives: (i) conduct a willingness-to-pay survey to assess the effects of distance, price and other variables on the private demand for typhoid vaccinations in a rural township of China where a campaign is under consideration; and (ii) embed the demand function in a mathematical model to address three planning questions; should each village have its own clinic, would one clinic be best or should the number of clinics be something in-between? Private vaccine demand was found to depend on and be inelastic with respect to both price and travel distance. A 1-km increase in distance caused the number of vaccinations demanded to decrease the same as a $0.5 increase in price. Thus, the marginal rate of substitution was $0.5 per km. A single clinic would be best for the township only if diseconomies of scale in supplying vaccinations exceeded the marginal rate of substitution. Otherwise, multiple clinics close to users would be optimal. Thus, deciding the number, location and capacities of clinics for vaccination planning is as important as deciding what price(s) to charge. Copyright © 2013 John Wiley & Sons, Ltd.

Urban transportation energy conservation: analytic procedures for estimating changes in travel demand and fuel consumption. Final report

Energy Technology Data Exchange (ETDEWEB)

Atherton, T.J.; Suhrbier, J.H.

1979-10-01

This series of reports provides metropolitan planning organizations with analytical tools that can be used to evaluate the effectiveness of alternative transportation policies in achieving reductions in overall fuel consumption. To ensure a high measure of accuracy, the analysis goes beyond the first order effects, i.e., the shift from single occupant autos as the mode chosen for the work trip to more fuel efficient means of travel. Questions treated include what will happen with the autos left at home as a result of increased carpooling for work trips. Will certain policies, such as gasoline price increases, directly impact non-work tripmaking. Will a particular transportation policy affect all segments of the population, or will certain groups be impacted significantly more than others. The methodology developed links together several disaggregate travel demand models to predict auto ownership, work trip mode choice, and non-work travel demands. This report introduces the theoretical basis for the travel demand models used, describes these models and their linkages both with each other and with the various submodels, and documents the assumptions made in developing the model system and using it to forecast responses to alternative transportation policies. Emphasis is placed on the conceptual framework of the model system and specification of the individual models and submodels.

Quick Link Selection Method by Using Pricing Strategy Based on User Equilibrium for Implementing an Effective Urban Travel Demand Management

Directory of Open Access Journals (Sweden)

Shahriar Afandizadeh Zargari

2016-12-01

Full Text Available This paper presents a two-stage model of optimization as a quick method to choose the best potential links for implementing urban travel demand management (UTDM strategy like road pricing. The model is optimized by minimizing the hidden cost of congestion based on user equilibrium (MHCCUE. It forecasts the exact amount of flows and tolls for links in user equilibrium condition to determine the hidden cost for each link to optimize the link selection based on the network congestion priority. The results show that not only the amount of total cost is decreased, but also the number of selected links for pricing is reduced as compared with the previous toll minimization methods. Moreover, as this model just uses the traffic assignment data for calculation, it could be considered as a quick and optimum solution for choosing the potential links.

Implementation of a model of dynamic activity-travel rescheduling decisions: an agent-based micro-simulation framework

NARCIS (Netherlands)

Arentze, T.A.; Pelizaro, C.; Timmermans, H.J.P.

2005-01-01

Recent progress in activity-based analysis has witnessed the development of some dynamic models of activity-travel rescheduling decisions. Most of this work involved descriptive analyses. Timmermans et al. (2001) elaborated this work and developed a more comprehensive theory and model of activity

Estimating the demand for drop-off recycling sites: a random utility travel cost approach.

Science.gov (United States)

Sidique, Shaufique F; Lupi, Frank; Joshi, Satish V

2013-09-30

Drop-off recycling is one of the most widely adopted recycling programs in the United States. Despite its wide implementation, relatively little literature addresses the demand for drop-off recycling. This study examines the demand for drop-off recycling sites as a function of travel costs and various site characteristics using the random utility model (RUM). The findings of this study indicate that increased travel costs significantly reduce the frequency of visits to drop-off sites implying that the usage pattern of a site is influenced by its location relative to where people live. This study also demonstrates that site specific characteristics such as hours of operation, the number of recyclables accepted, acceptance of commingled recyclables, and acceptance of yard-waste affect the frequency of visits to drop-off sites. Copyright © 2013 Elsevier Ltd. All rights reserved.

Future travel demand and its implications for transportation infrastructure investments in the Texas Triangle.

Science.gov (United States)

2009-03-01

This study takes a megaregion approach to project future travel demand and choice of transport : modes in the Texas Triangle, which is encompassed by four major metropolitan areas, Dallas-Fort : Worth, Houston, San Antonio, and Austin. The model was ...

Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation

Science.gov (United States)

Wang, Dai; Gao, Junyu; Li, Pan; Wang, Bin; Zhang, Cong; Saxena, Samveg

2017-08-01

Modeling PEV travel and charging behavior is the key to estimate the charging demand and further explore the potential of providing grid services. This paper presents a stochastic simulation methodology to generate itineraries and charging load profiles for a population of PEVs based on real-world vehicle driving data. In order to describe the sequence of daily travel activities, we use the trip chain model which contains the detailed information of each trip, namely start time, end time, trip distance, start location and end location. A trip chain generation method is developed based on the Naive Bayes model to generate a large number of trips which are temporally and spatially coupled. We apply the proposed methodology to investigate the multi-location charging loads in three different scenarios. Simulation results show that home charging can meet the energy demand of the majority of PEVs in an average condition. In addition, we calculate the lower bound of charging load peak on the premise of lowest charging cost. The results are instructive for the design and construction of charging facilities to avoid excessive infrastructure.

Reliability-Based Marginal Cost Pricing Problem Case with Both Demand Uncertainty and Travelers’ Perception Errors

Directory of Open Access Journals (Sweden)

Shaopeng Zhong

2013-01-01

Full Text Available Focusing on the first-best marginal cost pricing (MCP in a stochastic network with both travel demand uncertainty and stochastic perception errors within the travelers’ route choice decision processes, this paper develops a perceived risk-based stochastic network marginal cost pricing (PRSN-MCP model. Numerical examples based on an integrated method combining the moment analysis approach, the fitting distribution method, and the reliability measures are also provided to demonstrate the importance and properties of the proposed model. The main finding is that ignoring the effect of travel time reliability and travelers’ perception errors may significantly reduce the performance of the first-best MCP tolls, especially under high travelers’ confidence and network congestion levels. The analysis result could also enhance our understanding of (1 the effect of stochastic perception error (SPE on the perceived travel time distribution and the components of road toll; (2 the effect of road toll on the actual travel time distribution and its reliability measures; (3 the effect of road toll on the total network travel time distribution and its statistics; and (4 the effect of travel demand level and the value of reliability (VoR level on the components of road toll.

Negotiating on location, timing, duration, and participant in agent-mediated joint activity-travel scheduling

NARCIS (Netherlands)

Ma, Huiye; Ronald, N.A.; Arentze, T.A.; Timmermans, H.J.P.

2013-01-01

Agent-based simulation has become an important modeling approach in activity-travel analysis. Social activities account for a large amount of travel and have an important effect on activity-travel scheduling. Participants in joint activities usually have various options regarding location,

POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations

Energy Technology Data Exchange (ETDEWEB)

Auld, Joshua; Hope, Michael; Ley, Hubert; Sokolov, Vadim; Xu, Bo; Zhang, Kuilin

2016-03-01

This paper discusses the development of an agent-based modelling software development kit, and the implementation and validation of a model using it that integrates dynamic simulation of travel demand, network supply and network operations. A description is given of the core utilities in the kit: a parallel discrete event engine, interprocess exchange engine, and memory allocator, as well as a number of ancillary utilities: visualization library, database IO library, and scenario manager. The overall framework emphasizes the design goals of: generality, code agility, and high performance. This framework allows the modeling of several aspects of transportation system that are typically done with separate stand-alone software applications, in a high-performance and extensible manner. The issue of integrating such models as dynamic traffic assignment and disaggregate demand models has been a long standing issue for transportation modelers. The integrated approach shows a possible way to resolve this difficulty. The simulation model built from the POLARIS framework is a single, shared-memory process for handling all aspects of the integrated urban simulation. The resulting gains in computational efficiency and performance allow planning models to be extended to include previously separate aspects of the urban system, enhancing the utility of such models from the planning perspective. Initial tests with case studies involving traffic management center impacts on various network events such as accidents, congestion and weather events, show the potential of the system.

Responses of Lower-Body Power and Match Running Demands Following Long-Haul Travel in International Rugby Sevens Players.

Science.gov (United States)

Mitchell, John A; Pumpa, Kate L; Pyne, David B

2017-03-01

Mitchell, JA, Pumpa, KL, and Pyne, DB. Responses of lowerbody power and match running demands after long-haul travel in international rugby sevens players. J Strength Cond Res 31(3): 686-695, 2017-This study determined the effect of long-haul (>5 hours) travel on lower-body power and match running demands in international rugby sevens players. Lower-body power was assessed in 22 male international rugby sevens players (age 21.7 ± 2.7 years, mass 89.0 ± 6.7 kg, stature 180.5 ± 6.2 cm; mean ± SD) monitored over 17 rugby sevens tournaments. A countermovement jump was used to monitor lower-body power (peak and mean power) over repeated three week travel and competition periods (pretravel, posttravel, and posttournament). Small decreases were evident in peak power after both short and long-haul travel (-4.0%, ±3.2%; mean, ±90% confidence limits) with further reductions in peak and mean power posttournament (-4.5%, ±2.3% and -3.8%, ±1.5%) culminating in a moderate decrease in peak power overall (-7.4%, ±4.0%). A subset of 12 players (completing a minimum of 8 tournaments) had the effects of match running demands assessed with lower-body power. In this subset, long-haul travel elicited a large decrease in lower-body peak (-9.4%, ±3.5%) and mean power (-5.6%, ±2.9%) over the monitoring period, with a small decrease (-4.3%, ±3.0% and -2.2%, ±1.7%) posttravel and moderate decrease (-5.4%, ±2.5% and -3.5%, ±1.9%) posttournament, respectively. Match running demands were monitored through global positioning system. In long-haul tournaments, the 12 players covered ∼13%, ±13% greater total distance (meter) and ∼11%, ±10% higher average game meters >5 m·s when compared with short-haul (rugby sevens tournaments after long-haul travel.

GPS in Travel and Activity Surveys

DEFF Research Database (Denmark)

Nielsen, Thomas Alexander Sick; Hovgesen, Henrik Harder

2004-01-01

The use of GPS-positioning as a monitoring tool in travel and activity surveys opens up a range of possibilities. Using a personal GPS device, the locations and movements of respondents can be followed over a longer period of time. It will then be possible to analyse how the use of urban spaces...... are embedded in the wider context of activity patterns (work, school etc.). The general pattern of everyday itineraries, including route choice and time spent at different locations ?on the way? can also be analysed. If the personal GPS device is combined with an electronic questionnaire, for example...... area. The paper presents the possibilities in travel and activity surveys with GPS and electronic questionnaires. Demonstrative mapping of test data from passive GPS registration of Copenhagen respondents is presented. The different survey possibilities given a combination of GPS and PDA based...

Merlin : microsimulation system for predicting leisure activity-travel patterns

NARCIS (Netherlands)

Middelkoop, van M.; Borgers, A.W.J.; Timmermans, H.J.P.

2004-01-01

Development of a model of annual activity-travel patterns of leisure and vacation travel is reported. The simulation system, called Merlin, is a hybrid model system consisting of discrete choice models and rule-based models. It predicts the annual number of day trips and vacations, and the profile

The use of the life-style concept in travel demand models

OpenAIRE

I Salomon; M Ben-Akiva

1983-01-01

The concept of life-style is becoming a major differentiating trait between population groups substituting for economic and social classes. This paper describes the utilization of the concept of life-style in the context of travel demand models. Life-style is defined as a pattern of behavior under constrained resources which conforms to the orientations an individual has toward three major `life decisions' he or she must make: (a) formation of a household (of any type), (b) participation in t...

An agent-based micro-simulation framework for modeling of dynamic activity-travel rescheduling decisions

NARCIS (Netherlands)

Arentze, T.A.; Pelizaro, C.; Timmermans, H.J.P.

2010-01-01

The simultaneous implementation of daily activity-travel schedules of individuals in a given spatial environment generally gives rise to time- and location-varying congestion levels, which affect the conditions for subsequent activity and travel choices. Although such dynamics are commonly

Associations of children's independent mobility and active travel with physical activity, sedentary behaviour and weight status: a systematic review.

Science.gov (United States)

Schoeppe, Stephanie; Duncan, Mitch J; Badland, Hannah; Oliver, Melody; Curtis, Carey

2013-07-01

Health benefits from children's independent mobility and active travel beyond school travel are largely unexplored. This review synthesized the evidence for associations of independent mobility and active travel to various destinations with physical activity, sedentary behaviour and weight status. Systematic review. A systematic search in six databases (PubMed, Scopus, CINAHL, SportDiscus, PsychInfo, TRIS) for papers published between January 1990 and March 2012 was undertaken, focussing on children aged 3-18 years. Study inclusion and methodological quality were independently assessed by two reviewers. 52 studies were included. Most studies focussed solely on active travel to and/or from school, and showed significant positive associations with physical activity. The same relationship was detected for active travel to leisure-related places and independent mobility with physical activity. An inverse relationship between active travel to school and weight status was evident but findings were inconsistent. Few studies examined correlations between active travel to school and self-reported screen-time or objectively measured sedentary behaviour, and findings were unclear. Studies on independent mobility suggested that children who have the freedom to play outdoors and travel actively without adult supervision accumulate more physical activity than those who do not. Further investigation of children's active travel to leisure-related destinations, measurement of diverse sedentary behaviour beyond simply screen-based activities, and consistent thresholds for objectively measured sedentary behaviour in children will clarify the inconsistent evidence base on associations of active travel with sedentary behaviour and weight status. Copyright © 2012 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Travel behaviour and the total activity pattern

NARCIS (Netherlands)

van der Hoorn, A.I.J.M.

1979-01-01

the past years the behavioural basis of travel demand models has been considerably extended. In many cases individual behaviour is taken as the starting point of the analysis. Conventional aggregate models have been complemented by disaggregate models. However, even in most disaggregate models there

Travel mode and physical activity at Sydney University.

Science.gov (United States)

Rissel, Chris; Mulley, Corinne; Ding, Ding

2013-08-09

How staff and students travel to university can impact their physical activity level. An online survey of physical activity and travel behaviour was conducted in early November 2012 to inform planning of physical activity and active travel promotion programs at the University of Sydney, Australia as part of the "Sit Less, Move More" sub-committee of the Healthy University Initiative, and as baseline data for evaluation. There were 3,737 useable responses, 60% of which were from students. Four out of five respondents travelled to the University on the day of interest (Tuesday, November 30, 2012). The most frequently used travel modes were train (32%), car as driver (22%), bus (17%), walking (17%) and cycling (6%). Staff were twice as likely to drive as students, and also slightly more likely to use active transport, defined as walking and cycling (26% versus 22%). Overall, 41% of respondents were sufficiently active (defined by meeting physical activity recommendations of 150 min per week). Participants were more likely to meet physical activity recommendations if they travelled actively to the University. With a high proportion of respondents using active travel modes or public transport already, increasing the physical activity levels and increasing the use of sustainable travel modes would mean a mode shift from public transport to walking and cycling for students is needed and a mode shift from driving to public transport or active travel for University staff. Strategies to achieve this are discussed.

Measuring mental representations underlying activity-travel choices

NARCIS (Netherlands)

Horeni, O.

2012-01-01

The technological and societal challenges connected with the direct and indirect consequences of the still increasing traffic volume are keeping many people in research and practice busy. While some try to develop alternatives and travel demand measures to keep the traffic volume low others work on

Multi-day activity scheduling reactions to planned activities and future events in a dynamic agent-based model of activity-travel behavior

NARCIS (Netherlands)

Nijland, E.W.L.; Arentze, T.A.; Timmermans, H.J.P.

2009-01-01

Modeling multi-day planning has received scarce attention today in activity-based transport demand modeling. Elaborating and combining previous work on event-driven activity generation, the aim of this paper is to develop and illustrate an extension of a need-based model of activity generation that

Incorporating activity-travel time uncertainty and stochastic space-time prisms in multistate supernetworks for activity-travel scheduling

NARCIS (Netherlands)

Liao, F.; Rasouli, S.; Timmermans, H.J.P.

2014-01-01

Multistate supernetwork approach has been advanced recently to study multimodal, multi-activity travel behavior. The approach allows simultaneously modeling multiple choice facets pertaining to activity-travel scheduling behavior, subject to space-time constraints, in the context of full daily

Inter-temporal variation in the travel time and travel cost parameters of transport models

OpenAIRE

Börjesson, Maria

2012-01-01

The parameters for travel time and travel cost are central in travel demand forecasting models. Since valuation of infrastructure investments requires prediction of travel demand for future evaluation years, inter-temporal variation of the travel time and travel cost parameters is a key issue in forecasting. Using two identical stated choice experiments conducted among Swedish drivers with an interval of 13 years, 1994 and 2007, this paper estimates the inter-temporal variation in travel time...

Derivation of travel demand forecasting models for low population areas: the case of Port Said Governorate, North East Egypt

Directory of Open Access Journals (Sweden)

Ahmed Mohamed Semeida

2014-06-01

Full Text Available In the last decades, there has been substantial development in modeling techniques of travel demand estimation. For low population areas the external trip estimation is important but usually neglected in travel demand modeling process. In Egypt, the researches in this field are scarce due to lack of data. Accordingly, this paper aims to identify and estimate the main variables that affect the travel demand in low population areas, and to develop models to predict them. The study focused on the Port Said Governorate in North East Egypt. A special questionnaire had been prepared in 2010 depending on interviews of passengers at basic taxi terminals in Port Said. And 2211 filled questionnaires were offering for research. To analyze the data, two modeling procedures were used. One is the multiple linear regression and the other is the generalized linear modeling (GLM applying normal distributions. It is found that GLM procedure offers more suitable and accurate approach than the linear regression for developing number of trips. The final demand models have statistics within the acceptable regions and, also, they are conceptually reasonable. These results are so important for Egyptian highway authorities to improve the efficiency of highway transportation system in Egypt.

Travel Health Advisory Group: a joint travel industry and travel health Special Interest Group promoting healthy travel in Australia.

Science.gov (United States)

Leggat, Peter A; Zwar, Nicholas; Hudson, Bernie

2012-09-01

The Travel Health Advisory Group (THAG), established in 1997, is a joint initiative between the travel industry and travel health professionals in Australia that aims to promote healthy travel. THAG seeks to promote cooperation in improving the health of travellers between the travel industry and travel medicine professionals and to raise public awareness of the importance of travel health. From 2011, THAG has been a Special Interest Group of The Australasian College of Tropical Medicine and its membership has been active in several areas, including web-based travel health information, travel health promotion, media releases, research and education in Australia. Information is given on the objectives, membership and an overview of the various activities of the group. Copyright © 2012 Elsevier Ltd. All rights reserved.

Demand scenarios, worldwide

Energy Technology Data Exchange (ETDEWEB)

Schaefer, A [Massachusetts Inst. of Technology, Center for Technology, Policy and Industrial Development and the MIT Joint Program on the Science and Policy of Global Change, Cambridge, MA (United States)

1996-11-01

Existing methods are inadequate for developing aggregate (regional and global) and long-term (several decades) passenger transport demand scenarios, since they are mainly based on simple extensions of current patterns rather than causal relationships that account for the competition among transport modes (aircraft, automobiles, buses and trains) to provide transport services. The demand scenario presented in this paper is based on two empirically proven invariances of human behavior. First, transport accounts for 10 to 15 percent of household total expenditures for those owning an automobile, and around 5 percent for non-motorized households on average (travel money budget). Second, the mean time spent traveling is approximately one hour per capita per day (travel time budget). These two budgets constraints determine the dynamics of the scenario: rising income increases per capita expenditure on travel which, in turn, increase demand for mobility. Limited travel time constraints travelers to shift to faster transport systems. The scenario is initiated with the first integrated historical data set on traffic volume in 11 world regions and the globe from 1960 to 1990 for all major modes of motorized transport. World average per capita traffic volume, which was 1,800 kilometers in 1960 and 4,2090 in 1990, is estimated to rise to 7,900 kilometers in 2020 - given a modest average increase in Gross World Product of 1.9% per year. Higher economic growth rates in Asian regions result in an increase in regional per capita traffic volume up to a factor of 5.3 from 1990 levels. Modal splits continue shifting to more flexible and faster modes of transport. At one point, passenger cars can no longer satisfy the increasing demand for speed (i.e. rising mobility within a fixed time budget). In North America it is estimated that the absolute traffic volume of automobiles will gradually decline starting in the 2010s. (author) 13 figs., 6 tabs., 35 refs.

The Built Environment and Active Travel: Evidence from Nanjing, China.

Science.gov (United States)

Feng, Jianxi

2016-03-08

An established relationship exists between the built environment and active travel. Nevertheless, the literature examining the impacts of different components of the built environment is limited. In addition, most existing studies are based on data from cities in the U.S. and Western Europe. The situation in Chinese cities remains largely unknown. Based on data from Nanjing, China, this study explicitly examines the influences of two components of the built environment--the neighborhood form and street form--on residents' active travel. Binary logistic regression analyses examined the effects of the neighborhood form and street form on subsistence, maintenance and discretionary travel, respectively. For each travel purpose, three models are explored: a model with only socio-demographics, a model with variables of the neighborhood form and a complete model with all variables. The model fit indicator, Nagelkerke's ρ², increased by 0.024 when neighborhood form variables are included and increased by 0.070 when street form variables are taken into account. A similar situation can be found in the models of maintenance activities and discretionary activities. Regarding specific variables, very limited significant impacts of the neighborhood form variables are observed, while almost all of the characteristics of the street form show significant influences on active transport. In Nanjing, street form factors have a more profound influence on active travel than neighborhood form factors. The focal point of the land use regulations and policy of local governments should shift from the neighborhood form to the street form to maximize the effects of policy interventions.

Investigating the determining factors for transit travel demand by bus mode in US metropolitan statistical areas.

Science.gov (United States)

2015-05-01

Proper understanding of the nature of the transit travel demand is at the heart of transportation policy making and the success of : transit systems. Unfortunately, most of the existing studies have focused on a single or few transit systems or metro...

Travel Distance and Market Size in Food Retailing

OpenAIRE

Yim, Youngbin

1990-01-01

This paper deals with the process of change in urban systems, specifically the changes in the relationships between urban transportation and food retail distribution activities. The dynamic properties of food retailing and transportation systems are identified by tracing location patterns of food stores in Seattle, Washington. Increases in travel demand due to food shopping trips are estimated based on changes in spatial arrangement of food retail activities over the past 50 years. The study ...

NADIM-Travel: A Multiagent Platform for Travel Services Aggregation

OpenAIRE

Ben Ameur, Houssein; Bédard, François; Vaucher, Stéphane; Kropf, Peter; Chaib-draaa, Brahim; Gérin-Lajoie, Robert

2010-01-01

With the Internet as a growing channel for travel services distribution, sophisticated travel services aggregators are increasingly in demand. A travel services aggregation platform should be able to manage the heterogeneous characteristics of the many existing travel services. It should also be as scalable, robust, and flexible as possible. Using multiagent technology, we designed and implemented a multiagent platform for travel services aggregation called NADIM-Travel. In this platform, a p...

A Multi-Agent Modelling Approach to Simulate Dynamic Activity-Travel Patterns

NARCIS (Netherlands)

Han, Q.; Arentze, T.A.; Timmermans, H.J.P.; Janssens, D.; Wets, G.; Bazzan, A.L.C.; Klügl, F.

2009-01-01

Contributing to the recent interest in the dynamics of activity-travel patterns, this chapter discusses a framework of an agent-based modeling approach focusing on the dynamic formation of (location) choice sets. Individual travelers are represented as agents, each with their cognition of the

Travel medicine advice to UK based international motor sport teams.

Science.gov (United States)

Walters, A

2000-01-01

International motor sport teams travel extensively. Over the years, the design and build of racing cars has improved so that morbidity and mortality in motor sport has been lessened. Those team members supporting the competitors need to be physically and mentally fit to perform complicated tasks, despite having traveled. This group of travelers has not been studied to any extent previously. An anonymous questionnaire asking some basic travel medicine related questions was distributed to the support team members of a Rally team, and Formula One Grand Prix team. Both teams were based in the UK, and competed in all the rounds of their respective world championships. Ten Rally team members and 18 Formula One team members responded to the questionnaire. The results showed moderate coverage of commonly used vaccinations; appropriate use of antimalarials and insect repellents, but by no means by all team members; little or no problems with traveler's diarrhea; some tendencies to problems related to jet lag, but no real attempt to prevent the problem; and finally some attempt at skin protection against solar damage. Support teams are reasonably well prepared for the combination of, the rigors of frequent travel, and a demanding job. There is a deficit in vaccine coverage, especially of both hepatitis A and B, some education is needed in preventing skin problems later in life due to sun exposure, and further study of jet lag and its implications might be appropriate.

ADDING A NEW STEP WITH SPATIAL AUTOCORRELATION TO IMPROVE THE FOUR-STEP TRAVEL DEMAND MODEL WITH FEEDBACK FOR A DEVELOPING CITY

Directory of Open Access Journals (Sweden)

Xuesong FENG, Ph.D Candidate

2009-01-01

Full Text Available It is expected that improvement of transport networks could give rise to the change of spatial distributions of population-related factors and car ownership, which are expected to further influence travel demand. To properly reflect such an interdependence mechanism, an aggregate multinomial logit (A-MNL model was firstly applied to represent the spatial distributions of these exogenous variables of the travel demand model by reflecting the influence of transport networks. Next, the spatial autocorrelation analysis is introduced into the log-transformed A-MNL model (called SPA-MNL model. Thereafter, the SPA-MNL model is integrated into the four-step travel demand model with feedback (called 4-STEP model. As a result, an integrated travel demand model is newly developed and named as the SPA-STEP model. Using person trip data collected in Beijing, the performance of the SPA-STEP model is empirically compared with the 4-STEP model. It was proven that the SPA-STEP model is superior to the 4-STEP model in accuracy; most of the estimated parameters showed statistical differences in values. Moreover, though the results of the simulations to the same set of assumed scenarios by the 4-STEP model and the SPA-STEP model consistently suggested the same sustainable path for the future development of Beijing, it was found that the environmental sustainability and the traffic congestion for these scenarios were generally overestimated by the 4-STEP model compared with the corresponding analyses by the SPA-STEP model. Such differences were clearly generated by the introduction of the new modeling step with spatial autocorrelation.

Prefrontal cortex activation upon a demanding virtual hand-controlled task: a new frontier for neuroergonomics

Directory of Open Access Journals (Sweden)

Marika eCarrieri

2016-02-01

Full Text Available Functional near-infrared spectroscopy (fNIRS is a non-invasive vascular-based functional neuroimaging technology that can assess, simultaneously from multiple cortical areas, concentration changes in oxygenated-deoxygenated hemoglobin at the level of the cortical microcirculation blood vessels. fNIRS, with its high degree of ecological validity and its very limited requirement of physical constraints to subjects, could represent a valid tool for monitoring cortical responses in the research field of neuroergonomics. In virtual reality (VR real situations can be replicated with greater control than those obtainable in the real world. Therefore, VR is the ideal setting where studies about neuroergonomics applications can be performed. The aim of the present study was to investigate, by a 20-channel fNIRS system, the dorsolateral/ventrolateral prefrontal cortex (DLPFC/VLPFC in subjects while performing a demanding VR hand-controlled task (HCT. Considering the complexity of the HCT, its execution should require the attentional resources allocation and the integration of different executive functions. The HCT simulates the interaction with a real, remotely-driven, system operating in a critical environment. The hand movements were captured by a high spatial and temporal resolution 3D hand-sensing device, the LEAP motion controller, a gesture-based control interface that could be used in VR for tele-operated applications. Fifteen University students were asked to guide, with their right hand/forearm, a virtual ball (VB over a virtual route (VROU reproducing a 42-m narrow road including some critical points. The subjects tried to travel as long as possible without making VB fall. The distance traveled by the guided VB was 70.2±37.2 m. The less skilled subjects failed several times in guiding the VB over the VROU. Nevertheless, a bilateral VLPFC activation, in response to the HCT execution, was observed in all the subjects. No correlation was found

Prefrontal Cortex Activation Upon a Demanding Virtual Hand-Controlled Task: A New Frontier for Neuroergonomics.

Science.gov (United States)

Carrieri, Marika; Petracca, Andrea; Lancia, Stefania; Basso Moro, Sara; Brigadoi, Sabrina; Spezialetti, Matteo; Ferrari, Marco; Placidi, Giuseppe; Quaresima, Valentina

2016-01-01

Functional near-infrared spectroscopy (fNIRS) is a non-invasive vascular-based functional neuroimaging technology that can assess, simultaneously from multiple cortical areas, concentration changes in oxygenated-deoxygenated hemoglobin at the level of the cortical microcirculation blood vessels. fNIRS, with its high degree of ecological validity and its very limited requirement of physical constraints to subjects, could represent a valid tool for monitoring cortical responses in the research field of neuroergonomics. In virtual reality (VR) real situations can be replicated with greater control than those obtainable in the real world. Therefore, VR is the ideal setting where studies about neuroergonomics applications can be performed. The aim of the present study was to investigate, by a 20-channel fNIRS system, the dorsolateral/ventrolateral prefrontal cortex (DLPFC/VLPFC) in subjects while performing a demanding VR hand-controlled task (HCT). Considering the complexity of the HCT, its execution should require the attentional resources allocation and the integration of different executive functions. The HCT simulates the interaction with a real, remotely-driven, system operating in a critical environment. The hand movements were captured by a high spatial and temporal resolution 3-dimensional (3D) hand-sensing device, the LEAP motion controller, a gesture-based control interface that could be used in VR for tele-operated applications. Fifteen University students were asked to guide, with their right hand/forearm, a virtual ball (VB) over a virtual route (VROU) reproducing a 42 m narrow road including some critical points. The subjects tried to travel as long as possible without making VB fall. The distance traveled by the guided VB was 70.2 ± 37.2 m. The less skilled subjects failed several times in guiding the VB over the VROU. Nevertheless, a bilateral VLPFC activation, in response to the HCT execution, was observed in all the subjects. No correlation was found

Change in active travel and changes in recreational and total physical activity in adults: longitudinal findings from the iConnect study

Science.gov (United States)

2013-01-01

Background To better understand the health benefits of promoting active travel, it is important to understand the relationship between a change in active travel and changes in recreational and total physical activity. Methods These analyses, carried out in April 2012, use longitudinal data from 1628 adult respondents (mean age 54 years; 47% male) in the UK-based iConnect study. Travel and recreational physical activity were measured using detailed seven-day recall instruments. Adjusted linear regression models were fitted with change in active travel defined as ‘decreased’ (15 min/week) as the primary exposure variable and changes in (a) recreational and (b) total physical activity (min/week) as the primary outcome variables. Results Active travel increased in 32% (n=529), was maintained in 33% (n=534) and decreased in 35% (n=565) of respondents. Recreational physical activity decreased in all groups but this decrease was not greater in those whose active travel increased. Conversely, changes in active travel were associated with commensurate changes in total physical activity. Compared with those whose active travel remained unchanged, total physical activity decreased by 176.9 min/week in those whose active travel had decreased (adjusted regression coefficient −154.9, 95% CI −195.3 to −114.5) and was 112.2 min/week greater among those whose active travel had increased (adjusted regression coefficient 135.1, 95% CI 94.3 to 175.9). Conclusion An increase in active travel was associated with a commensurate increase in total physical activity and not a decrease in recreational physical activity. PMID:23445724

Use of travel cost models in planning: A case study

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Allan Marsinko; William T. Zawacki; J. Michael Bowker

2002-01-01

This article examines the use of the travel cost, method in tourism-related decision making in the area of nonconsumptive wildlife-associated recreation. A travel cost model of nonconsumptive wildlife-associated recreation, developed by Zawacki, Maninko, and Bowker, is used as a case study for this analysis. The travel cost model estimates the demand for the activity...

Modeling and Forecasting the Impact of Major Technological and Infrastructural Changes on Travel Demand

OpenAIRE

El Zarwi, Feras

2017-01-01

The transportation system is undergoing major technological and infrastructural changes, such as the introduction of autonomous vehicles, high speed rail, carsharing, ridesharing, flying cars, drones, and other app-driven on-demand services. While the changes are imminent, the impact on travel behavior is uncertain, as is the role of policy in shaping the future. Literature shows that even under the most optimistic scenarios, society’s environmental goals cannot be met by technology, operatio...

Towards a Comprehensive Conceptual Framework of Active Travel Behavior: a Review and Synthesis of Published Frameworks.

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Götschi, Thomas; de Nazelle, Audrey; Brand, Christian; Gerike, Regine

2017-09-01

This paper reviews the use of conceptual frameworks in research on active travel, such as walking and cycling. Generic framework features and a wide range of contents are identified and synthesized into a comprehensive framework of active travel behavior, as part of the Physical Activity through Sustainable Transport Approaches project (PASTA). PASTA is a European multinational, interdisciplinary research project on active travel and health. Along with an exponential growth in active travel research, a growing number of conceptual frameworks has been published since the early 2000s. Earlier frameworks are simpler and emphasize the distinction of environmental vs. individual factors, while more recently several studies have integrated travel behavior theories more thoroughly. Based on the reviewed frameworks and various behavioral theories, we propose the comprehensive PASTA conceptual framework of active travel behavior. We discuss how it can guide future research, such as data collection, data analysis, and modeling of active travel behavior, and present some examples from the PASTA project.

Financial Incentives to Promote Active Travel

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Martin, Adam; Suhrcke, Marc; Ogilvie, David

2012-01-01

Context Financial incentives, including taxes and subsidies, can be used to encourage behavior change. They are common in transport policy for tackling externalities associated with use of motor vehicles, and in public health for influencing alcohol consumption and smoking behaviors. Financial incentives also offer policymakers a compromise between “nudging,” which may be insufficient for changing habitual behavior, and regulations that restrict individual choice. Evidence acquisition The literature review identified studies published between January 1997 and January 2012 of financial incentives relating to any mode of travel in which the impact on active travel, physical activity, or obesity levels was reported. It encompassed macroenvironmental schemes, such as gasoline taxes, and microenvironmental schemes, such as employer-subsidized bicycles. Five relevant reviews and 20 primary studies (of which nine were not included in the reviews) were identified. Evidence synthesis The results show that more-robust evidence is required if policymakers are to maximize the health impact of fiscal policy relating to transport schemes of this kind. Conclusions Drawing on a literature review and insights from the SLOTH (sleep, leisure, occupation, transportation, and home-based activities) time-budget model, this paper argues that financial incentives may have a larger role in promoting walking and cycling than is acknowledged generally. PMID:23159264

Uncertain socioeconomic projections used in travel demand and emissions models: could plausible errors result in air quality nonconformity?

International Nuclear Information System (INIS)

Rodier, C.J.; Johnston, R.A.

2002-01-01

A sensitivity analysis of plausible errors in population, employment, fuel price, and income projections is conducted using the travel demand and emissions models of the Sacramento, CA, USA, region for their transportation plan. The results of the analyses indicate that plausible error ranges for household income and fuel prices are not a significant source of uncertainty with respect to the region's travel demand and emissions projections. However, plausible errors in population and employment projections (within approximately one standard deviation) may result in the region's transportation plan not meeting the conformity test for nitrogens of oxides (NO x ) in the year 2005 (i.e., an approximately 16% probability). This outcome is also possible in the year 2015 but less likely (within approximately two standard deviations or a 2.5% probability). Errors in socioeconomic projections are only one of many sources of error in travel demand and emissions models. These results have several policy implications. First, regions like Sacramento that meet their conformity tests by a very small margin should rethink new highway investment and consider contingency transportation plans that incorporate more aggressive emissions reduction policies. Second, regional transportation planning agencies should conduct sensitivity analyses as part of their conformity analysis to make explicit significant uncertainties in the methods and to identify the probability of their transportation plan not conforming. Third, the US Environmental Protection Agency (EPA) should clarify the interpretation of ''demonstrate'' conformity of transportation plans; that is, specify the level of certainty that it considers a sufficient demonstration of conformity. (author)

Decisions on Energy Demand Response Option Contracts in Smart Grids Based on Activity-Based Costing and Stochastic Programming

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Alfred J. Hildreth

2013-01-01

Full Text Available Smart grids enable a two-way energy demand response capability through which a utility company offers its industrial customers various call options for energy load curtailment. If a customer has the capability to accurately determine whether to accept an offer or not, then in the case of accepting an offer, the customer can earn both an option premium to participate, and a strike price for load curtailments if requested. However, today most manufacturing companies lack the capability to make the correct contract decisions for given offers. This paper proposes a novel decision model based on activity-based costing (ABC and stochastic programming, developed to accurately evaluate the impact of load curtailments and determine as to whether or not to accept an energy load curtailment offer. The proposed model specifically targets state-transition flexible and Quality-of-Service (QoS flexible energy use activities to reduce the peak energy demand rate. An illustrative example with the proposed decision model under a call-option based energy demand response scenario is presented. As shown from the example results, the proposed decision model can be used with emerging smart grid opportunities to provide a competitive advantage to the manufacturing industry.

Patterns of health behaviour associated with active travel: a compositional data analysis.

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Foley, Louise; Dumuid, Dorothea; Atkin, Andrew J; Olds, Timothy; Ogilvie, David

2018-03-21

Active travel (walking or cycling for transport) is associated with favourable health outcomes in adults. However, little is known about the concurrent patterns of health behaviour associated with active travel. We used compositional data analysis to explore differences in how people doing some active travel used their time compared to those doing no active travel, incorporating physical activity, sedentary behaviour and sleep. We analysed cross-sectional data from the 2014/15 United Kingdom Harmonised European Time Use Survey. Participants recorded two diary days of activity, and we randomly selected one day from participants aged 16 years or over. Activities were categorised into six mutually exclusive sets, accounting for the entire 24 h: (1) sleep; (2) leisure moderate to vigorous physical activity (MVPA); (3) leisure sedentary screen time; (4) non-discretionary time (work, study, chores and caring duties); (5) travel and (6) other. This mixture of activities was defined as a time-use composition. A binary variable was created indicating whether participants reported any active travel on their selected diary day. We used compositional multivariate analysis of variance (MANOVA) to test whether mean time-use composition differed between individuals reporting some active travel and those reporting no active travel, adjusted for covariates. We then used adjusted linear regression models and bootstrap confidence intervals to identify which of the six activity sets differed between groups. 6143 participants (mean age 48 years; 53% female) provided a valid diary day. There was a statistically significant difference in time-use composition between those reporting some active travel and those reporting no active travel. Those undertaking active travel reported a relatively greater amount of time in leisure MVPA and travel, and a relatively lower amount of time in leisure sedentary screen time and sleep. Compared to those not undertaking active travel, those who did

Wildfire effects on hiking and biking demand in New Mexico: a travel cost study.

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Hesseln, Hayley; Loomis, John B; González-Cabán, Armando; Alexander, Susan

2003-12-01

We use a travel cost model to test the effects of wild and prescribed fire on visitation by hikers and mountain bikers in New Mexico. Our results indicate that net benefits for mountain bikers is $150 per trip and that they take an average of 6.2 trips per year. Hikers take 2.8 trips per year with individual net benefits per trip of $130. Both hikers' and mountain bikers' demand functions react adversely to prescribed burning. Net benefits for both groups fall as areas recover from prescribed burns. Because both visitation and annual recreation benefits decrease to these two types of visitors, this gives rise to multiple use costs associated with prescribed burning. With respect to wildfire, hikers and mountain bikers both exhibit decreased visitation as areas recover from wildfires, however, only hikers indicate an increase in per trip net benefits. Bikers' demand effectively drops to zero. These results differ from previous findings in the literature and have implications for efficient implementation of the National Fire Plan and whether prescribed burning is a cost effective tool for multiple use management of National Forests. Specifically, that fire and recreation managers cannot expect recreation users to react similarly to fire across recreation activities, or different geographic regions. What is cost effective in one region may not be so in another.

Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

OpenAIRE

McKenna, E.; Higginson, S.; Grunewald, P.; Darby, S. J.

2017-01-01

Demand response is receiving increasing interest as a new form of flexibility within low-carbon power systems. Energy models are an important tool to assess the potential capability of demand side contributions. This paper critically reviews the assumptions in current models and introduces a new conceptual framework to better facilitate such an assessment. We propose three dimensions along which change could occur, namely technology, activities and service expectations. Using this framework, ...

Discrete-Choice Modeling Of Non-Working Women’s Trip-Chaining Activity Based

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Hayati, Amelia; Pradono; Purboyo, Heru; Maryati, Sri

2018-05-01

Start The urban developments of technology and economics are now changing the lifestyles of the urban societies. It is also changing their travel demand to meet their movement needs. Nowadays, urban women, especially in Bandung, West Java, have a high demand for their daily travel and tend to increase. They have the ease of accessibility to personal modes of transportation and freedom to go anywhere to meet their personal and family needs. This also happens to non-working women or as housewives in the city of Bandung. More than 50% of women’s mobility is outside the home, in the term of trip-chaining, from leaving to returning home in one day. It is based on their complex activities in order to meet the needs of family and home care. While less than 60% of male’s mobility is outdoors, it is a simple trip-chaining or only has a single trip. The trip-chaining has significant differences between non-working women and working-men. This illustrates the pattern of Mom and Dad’s mobility in a family with an activity-based approach for the same purpose, i.e. family welfare. This study explains how complex the trip-chaining of non-working urban women and as housewives, with an activity-based approach done outdoors in a week. Socio-economic and household demographic variables serve as the basis for measuring the independent variables affecting family welfare, as well as the variables of type, time and duration of activities performed by unemployed housewives. This study aims to examine the interrelationships between activity variables, especially the time of activity and travel, and socio-economic of household variables that can generate the complexity of women’s daily travel. Discrete Choice Modeling developed by Ben-Akiva, Chandra Bhat, etc., is used in this study to illustrate the relationship between activity and socio-economic demographic variables based on primary survey data in Bandung, West Java for 466 unemployed housewives. The results of the regression, by

"If You Don't Do Parking Management .. Forget Your Behaviour Change, It's Not Going to Work.": Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion.

Directory of Open Access Journals (Sweden)

Nick Petrunoff

Full Text Available After having conducted two studies of the effectiveness of workplace travel plans for promoting active travel, we investigated health and transport practitioners' perspectives on implementing workplace travel plans to share some of the lessons learnt. The objectives of this study were to describe perceived elements of effective workplace travel plans, barriers and enablers to workplace travel planning, their experiences of working with the other profession on travel plan implementation, their recommendations for workplace travel planning, and also to explore similarities and differences in transport and health practitioner perspectives.Fourteen health and ten transport practitioners who had prior involvement in workplace travel plan programs were purposefully selected from workplaces in Australia. We conducted 20 in-depth interviews since data saturation had been reached at this point, and data were subject to framework analysis.Perceived essential elements of effective workplace travel plans included parking management; leadership, organisational commitment and governance; skills and other resources like a dedicated travel plan coordinator; and, pre-conditions including supportive transport infrastructure in the surrounds. Recommendations for promoting travel plans included supportive government policy, focusing on business benefits and working at different scales of implementation (e.g. single large worksites and business precincts. Health and transport practitioner perspectives differed, with transport practitioners believing that parking management is the key action for managing travel demand at a worksite.Health practitioners implementing travel plans may require training including concepts of travel demand management, and support from transport planners on parking management strategies. Promoting an understanding of the shared travel behaviour change skills of transport and health practitioners may assist further collaboration. For take

"If You Don't Do Parking Management .. Forget Your Behaviour Change, It's Not Going to Work.": Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion.

Science.gov (United States)

Petrunoff, Nick; Rissel, Chris; Wen, Li Ming

2017-01-01

After having conducted two studies of the effectiveness of workplace travel plans for promoting active travel, we investigated health and transport practitioners' perspectives on implementing workplace travel plans to share some of the lessons learnt. The objectives of this study were to describe perceived elements of effective workplace travel plans, barriers and enablers to workplace travel planning, their experiences of working with the other profession on travel plan implementation, their recommendations for workplace travel planning, and also to explore similarities and differences in transport and health practitioner perspectives. Fourteen health and ten transport practitioners who had prior involvement in workplace travel plan programs were purposefully selected from workplaces in Australia. We conducted 20 in-depth interviews since data saturation had been reached at this point, and data were subject to framework analysis. Perceived essential elements of effective workplace travel plans included parking management; leadership, organisational commitment and governance; skills and other resources like a dedicated travel plan coordinator; and, pre-conditions including supportive transport infrastructure in the surrounds. Recommendations for promoting travel plans included supportive government policy, focusing on business benefits and working at different scales of implementation (e.g. single large worksites and business precincts). Health and transport practitioner perspectives differed, with transport practitioners believing that parking management is the key action for managing travel demand at a worksite. Health practitioners implementing travel plans may require training including concepts of travel demand management, and support from transport planners on parking management strategies. Promoting an understanding of the shared travel behaviour change skills of transport and health practitioners may assist further collaboration. For take-up by

Analysis Of Tourism Object Demand In The Pekanbaru City With Travel Cost Method

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Eriyati

2017-11-01

Full Text Available The tourism sector gets attention when world oil prices are decreasing. It can not be denied that during this time the largest contribution of Pekanbaru city revenue from profit-sharing funding comes from the oil and gas sector. Currently Pekanbaru revenue is small from the oil and gas sector as oil prices continue to decline. The existence of Pekanbaru City away from the coast and mountains causing focus on the development of artificial attractions such as Alam Mayang artificial lake Bandar Kayangan Lembah Sari Pekanbaru Mosque and the tomb of the founder of Pekanbaru city. Many people bring families visiting artificial tourist attractions on weekends and holidays.This study aims to determine the factors that affect the demand and economic value of tourist attractions in Kota Pekanbaru with Travel Cost Method. Sampling non probability as much as 100 respondents visitor attraction in Pekanbaru City of population 224896 people with sampling technique using slovin formula data analysis method used in this research is descriptive quantitative method. From the results of research states that the factors that influence the demand for tourist attraction in the city of Pekanbaru is income cost and distance. The economic value of tourism object of Pekanbaru city with cost of travel method is Rp42.679.638.400 per year. This means that the price given by a person to something at a certain place and time with the size of the price specified by time goods or money that will be sacrificed by someone to own or use goods and services in want.

Associations between active travel and adiposity in rural India and Bangladesh: a cross-sectional study.

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McKay, Ailsa J; Laverty, Anthony A; Shridhar, Krithiga; Alam, Dewan; Dias, Amit; Williams, Joseph; Millett, Christopher; Ebrahim, Shah; Dhillon, Preet K

2015-10-24

Data on use and health benefits of active travel in rural low- and middle- income country settings are sparse. We aimed to examine correlates of active travel, and its association with adiposity, in rural India and Bangladesh. Cross sectional study of 2,122 adults (≥18 years) sampled in 2011-13 from two rural sites in India (Goa and Chennai) and one in Bangladesh (Matlab). Logistic regression was used to examine whether ≥150 min/week of active travel was associated with socio-demographic indices, smoking, oil/butter consumption, and additional physical activity. Adjusting for these same factors, associations between active travel and BMI, waist circumference and waist-to-hip ratio were examined using linear and logistic regression. Forty-six percent of the sample achieved recommended levels of physical activity (≥150 min/week) through active travel alone (range: 33.1 % in Matlab to 54.8 % in Goa). This was more frequent among smokers (adjusted odds ratio 1.36, 95 % confidence interval 1.07-1.72; p = 0.011) and those that spent ≥150 min/week in work-based physical activity (OR 1.71, 1.35-2.16; p travel was associated with lower BMI (adjusted coefficient -0.39 kg/m(2), -0.77 to -0.02; p = 0.037) and a lower likelihood of high waist circumference (OR 0.77, 0.63-0.96; p = 0.018) and high waist-to-hip ratio (OR 0.72, 0.58-0.89; p = 0.002). Use of active travel for ≥150 min/week was associated with being male, smoking, and higher levels of work-based physical activity. It was associated with lower BMI, and lower risk of a high waist circumference or high waist-to-hip ratio. Promotion of active travel is an important component of strategies to address the growing prevalence of overweight in rural low- and middle- income country settings.

Transport demand, harmful emissions, environment and health co-benefits in China

International Nuclear Information System (INIS)

HE, Ling-Yun; QIU, Lu-Yi

2016-01-01

The Chinese residents' travel demand has been increasing dramatically. As a result, emissions from motor vehicles have been found as one main source of air pollution in China, which consequently influences the residents' health. To better understand the environmental deterioration and health losses caused by the transport sector in China, in current circumstances, one must know how the changes in residents' travel demand and alternative transport modes affect environment and health co-benefits in China. We first of all calculate the demand from nearly all the residents' travel means, including road, rail, water, and air transport. Besides, based on the results, this paper further makes projections for a business-as-usual scenario for 2050 with several alternative transport scenarios to reduce harmful emissions and improve the welfare of the residents' health in China. Our integrated framework includes the harmful emissions models, the fixed box model and the exposure-response models, to link transport demand with possible environmental and health outcomes. The findings suggest that significant environment and health co-benefits are possible if alternative transport replaces. This research, to the best of our knowledge, is the first attempt to estimate the total resident's travel demand under different scenarios and the consequent environment and health co-benefits in the transitional China. - Highlights: • The changes in travel demand affect both environment and health in China. • Integrated framework is proposed to analyze environment and health co-benefits. • Travel demand here includes all travel means: road, rail, water, and air transport. • Counter-factual scenarios are proposed to estimate environment and health impacts.

Special issue on activity-travel decision processes

NARCIS (Netherlands)

Doherty, S.; Ettema, D.F.

2006-01-01

Before you lies the 2006 TRB (Transportation Research Board) Special Issue of Transportation comprising selected papers presented at the 2006 Annual Meeting of the TRB in sessions sponsored by the Travel Behavior and Values committee on activity-travel decision processes. We are pleased to serve

Active Traveling and Its Associations with Self-Rated Health, BMI and Physical Activity: A Comparative Study in the Adult Swedish Population.

Science.gov (United States)

Berglund, Erik; Lytsy, Per; Westerling, Ragnar

2016-04-28

Active traveling to a daily occupation means that an individual uses an active way of traveling between two destinations. Active travel to work or other daily occupations offers a convenient way to increase physical activity levels which is known to have positive effects on several health outcomes. Frequently used concepts in city planning and regional planning today are to create environments for active commuting and active living. Even then, little research has focused on traveling modes and subjective health outcomes such as self-rated health (SRH). This study aimed to explore and investigate associations between travel mode and health-related outcomes, such as self-rated health (SRH), body mass index (BMI) and overall physical activity, in an adult population in Sweden. A cross-sectional study was conducted in a randomly selected population-based sample (n = 1786, age 45-75 years); the respondents completed a questionnaire about their regular travel mode, demographics, lifestyle, BMI and SRH. Chi-square tests and logistic regressions found that inactive traveling was associated with poor SRH, a greater risk of obesity or being overweight and overall physical inactivity. In addition, lifestyle factors, such as choice of food and smoking habits, were associated with SRH, BMI and overall physical activity.

Behavior Insights for an Incentive-Based Active Demand Management Platform

Directory of Open Access Journals (Sweden)

Xianbiao Hu

2015-06-01

The level of rewards points available to users (commuters by the system depends on the travelers’ behavioral change degree and their contributions to traffic congestion alleviation. This system was implemented in Los Angeles, Calif., USA, as a small scale pilot field study carried out beginning April 2013 and lasting for 10 weeks. Results from this field study show the system is able to accurately predict travel time with Relative Mean Absolute Error (RMAE as low as 15.20%. Significant travel behavior changes were observed which validate the concept of using incentives to influence people's travel behavior. Furthermore, field study results show 20% travel time can be saved for people who changed their travel behavior.

Complex active travel bout motivations: Gender, place, and social context associations.

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Brown, Barbara B; Smith, Ken R

2017-09-01

Active travel bouts are healthy, but bout-specific motives, social, and physical contexts have been poorly characterized. Adults (n= 421 in 2012, 436 in 2013) described their moderate activity bouts over the past week, aided by accelerometry/GPS data integration. Participants viewed maps indicating date, time, and starting and ending locations of their past week moderate-to-vigorous active travel bouts of 3 or more minutes. These prompts helped participants recall their social and physical contexts and motives for the bouts. Three bout motivations were modeled: leisure, transportation, and their "T-L" difference scores (transportation minus leisure scores). Blends of leisure and transportation motives characterized most bouts, even though most studies do not allow participants to endorse multiple motives for their active travel. Bouts were often neighborhood-based. Leisure motives were related to pleasant place perceptions, homes, and exercise places; workplaces were associated with stronger transportation and T-L bout motives. Women's bout motives were more closely associated with place than men's. Our novel method of individual bout assessment can illuminate the social-ecological contexts and experiences of everyday healthy bouts of activity.

Negotiating on location, timing, duration, and participant in agent-mediated joint activity-travel scheduling

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Ma, Huiye; Ronald, Nicole; Arentze, Theo A.; Timmermans, Harry J. P.

2013-10-01

Agent-based simulation has become an important modeling approach in activity-travel analysis. Social activities account for a large amount of travel and have an important effect on activity-travel scheduling. Participants in joint activities usually have various options regarding location, participants, and timing and take different approaches to make their decisions. In this context, joint activity participation requires negotiation among agents involved, so that conflicts among the agents can be addressed. Existing mechanisms do not fully provide a solution when utility functions of agents are nonlinear and non-monotonic. Considering activity-travel scheduling in time and space as an application, we propose a novel negotiation approach, which takes into account these properties, such as continuous and discrete issues, and nonlinear and non-monotonic utility functions, by defining a concession strategy and a search mechanism. The results of experiments show that agents having these properties can negotiate efficiently. Furthermore, the negotiation procedure affects individuals’ choices of location, timing, duration, and participants.

Happiness in Motion: Emotions, Well-Being, and Active School Travel

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Ramanathan, Subha; O'Brien, Catherine; Faulkner, Guy; Stone, Michelle

2014-01-01

Background: A pan-Canadian School Travel Planning intervention promoted active school travel (AST). A novel component was exploring emotion, well-being, and travel mode framed by the concept of "sustainable happiness." Relationships between travel mode and emotions, parent perceptions of their child's travel mode on well-being, and…

The Strathclyde Evaluation of Children's Active Travel (SE-CAT: study rationale and methods

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McMinn David

2011-12-01

Full Text Available Abstract Background The school commute is a prime opportunity to increase children's physical activity levels. However, active commuting has decreased over the past 40 years. Strategies that increase walking to school are therefore needed. Travelling Green (TG is a school-based active travel resource aimed at increasing children's walking to school. The resource consists of a curriculum-based program of lessons and goal setting activities. A previous study found that children who received the TG intervention increased self-reported distance travelled to school by active modes and reduced the distance travelled by inactive modes. This study was limited by self-reported outcome measures, a small sample, and no follow-up measures. A more robust evaluation of TG is required to address these limitations. This paper describes the rationale and methods for such an evaluation of Travelling Green, and describes the piloting of various active commuting measures in primary school children. Methods/Design Measures of active commuting were piloted in a sample of 26 children (aged 8-9 years over one school week. These measures were subsequently used in an 18-month quasi-experimental design to evaluate the effect of TG on commuting behaviour. Participants were 166 children (60% male aged 8-9 years from 5 primary schools. Two schools (n = 79 children received TG in September/October 2009. Three schools (n = 87 children acted as a comparison group, and subsequently received TG at a later date. Physical activity was measured using Actigraph GT1M accelerometers. Personal and environmental determinants of active commuting were measured via parent and child questionnaires, as were factors related to the Theory of Planned Behaviour and the construct of habit. Measures were taken pre- and post-intervention and at 5 and 12 months follow-up. Discussion The piloted protocol was practical and feasible and piloted measures were reliable and valid. All study data, including

Health hazards of international travel.

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Cossar, J H; Reid, D

1989-01-01

The growth of travel and the increasing numbers of those affected by travel-related illnesses, some of a serious nature, will cause this subject to demand the attention of the medical profession, the travel trade, travellers themselves and the health authorities of countries receiving tourists. Provision of appropriate advice for the traveller is a shared responsibility, best channelled mainly through travel agencies; it can moreover be shown to be cost-beneficial. Continued monitoring of illness in travellers and provision of information systems geared to this problem and its prevention are fully justified. They should be based on traditional channels of communication and currently-available modern technology, and be readily accessible to medical and related workers. Increased collaboration between medical workers, health educators and those involved in the travel trade would be a positive and useful contribution towards the reduction of illness and discomfort among travellers and the associated expense incurred by the various national health services concerned. There are clearly economic benefits from the development of international tourism, but these have to be balanced in countries accepting tourists by attention to the prevention of illnesses associated with travel.

APPLICATION OF TRAVEL TIME RELIABILITY FOR PERFORMANCE ORIENTED OPERATIONAL PLANNING OF EXPRESSWAYS

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Mehran, Babak; Nakamura, Hideki

Evaluation of impacts of congestion improvement scheme s on travel time reliability is very significant for road authorities since travel time reliability repr esents operational performance of expressway segments. In this paper, a methodology is presented to estimate travel tim e reliability prior to implementation of congestion relief schemes based on travel time variation modeling as a function of demand, capacity, weather conditions and road accident s. For subject expressway segmen ts, traffic conditions are modeled over a whole year considering demand and capacity as random variables. Patterns of demand and capacity are generated for each five minute interval by appl ying Monte-Carlo simulation technique, and accidents are randomly generated based on a model that links acci dent rate to traffic conditions. A whole year analysis is performed by comparing de mand and available capacity for each scenario and queue length is estimated through shockwave analysis for each time in terval. Travel times are estimated from refined speed-flow relationships developed for intercity expressways and buffer time index is estimated consequently as a measure of travel time reliability. For validation, estimated reliability indices are compared with measured values from empirical data, and it is shown that the proposed method is suitable for operational evaluation and planning purposes.

Documenting outdoor activity and travel behaviour in persons with neurological conditions using travel diaries and GPS tracking technology: a pilot study in multiple sclerosis.

Science.gov (United States)

Neven, An; Janssens, Davy; Alders, Geert; Wets, Geert; Van Wijmeersch, Bart; Feys, Peter

2013-09-01

Persons with multiple sclerosis (PwMS) experience several physical and cognitive problems which can influence their travel behaviour. This study aimed to document the number of activities, the activity type and the transport mode of the related trips that are daily made by PwMS. Their outdoor activity and travel behaviour was studied in relation to disease-related disability. Thirty six PwMS (Expanded Disability Status Scale, EDSS, 1.5-8.0, age 27-63) and 24 healthy controls (age 25-62) were studied, using activity-related travel diaries and GPS tracking devices. Information about overall disability characteristics was gained by standard clinical tests and questionnaires. PwMS were further divided in three subgroups based on EDSS cut-off scores 4.5 and 6.5. Persons with mild ambulatory dysfunction (EDSS 1.5-4.0, n = 17) showed similar travel characteristics to healthy controls, with few restrictions during travelling. Statistically significant changes in activity and travel behaviour were detected in the moderate (EDSS 4.5-6.5, n = 8) and severe MS subgroups (EDSS > 6.5-8.0, n = 11) compared with healthy controls: driving independently became less frequent, significant more trips were made with company and the duration of performed activities had increased. The combination of self-reported travel diaries and objective GPS loggers offered detailed information about the actual outdoor travel behaviour of PwMS, which was significantly changed in PwMS with EDSS greater than 4. Implications for Rehabilitation Activity and travel behaviour changes significantly in persons with multiple sclerosis (MS) with moderate to severe disability (EDSS greater than 4). Behavioural therapy could help to develop better coping and problem-solving skills to overcome anxiety in the making of trips by persons with MS with a mild severity. Enhancing community environments could serve as a promising approach to increase the outdoor participation of persons with (more severe

Cloud-based design of high average power traveling wave linacs

Science.gov (United States)

Kutsaev, S. V.; Eidelman, Y.; Bruhwiler, D. L.; Moeller, P.; Nagler, R.; Barbe Welzel, J.

2017-12-01

The design of industrial high average power traveling wave linacs must accurately consider some specific effects. For example, acceleration of high current beam reduces power flow in the accelerating waveguide. Space charge may influence the stability of longitudinal or transverse beam dynamics. Accurate treatment of beam loading is central to the design of high-power TW accelerators, and it is especially difficult to model in the meter-scale region where the electrons are nonrelativistic. Currently, there are two types of available codes: tracking codes (e.g. PARMELA or ASTRA) that cannot solve self-consistent problems, and particle-in-cell codes (e.g. Magic 3D or CST Particle Studio) that can model the physics correctly but are very time-consuming and resource-demanding. Hellweg is a special tool for quick and accurate electron dynamics simulation in traveling wave accelerating structures. The underlying theory of this software is based on the differential equations of motion. The effects considered in this code include beam loading, space charge forces, and external magnetic fields. We present the current capabilities of the code, provide benchmarking results, and discuss future plans. We also describe the browser-based GUI for executing Hellweg in the cloud.

Road pricing as an impetus for environment-friendly travel behavior : Results from a stated adaptation experiment

NARCIS (Netherlands)

Janssens, D.; Cools, M.; Moons, E.; Wets, G.; Arentze, Theo A.; Timmermans, Harry J P

2009-01-01

An important policy instrument for governments to modify travel behavior and manage the increasing travel demand is the introduction of a congestion pricing system. In this study, the influence of a detailed classification of activities is examined to assess likely traveler response to congestion

Modeling the impact of travel information on activity-travel rescheduling decisions under multiple uncertain events: distributed myopic decision heuristics

NARCIS (Netherlands)

Sun, Z.; Arentze, T.A.; Timmermans, H.J.P.

2005-01-01

Travel information is widely available in different forms through various sources. This wide availability of travel information is believed to influence travellers’ daily activity-travel patterns. To understand and model the impact of travel information on traveller’s decision processes, the authors

A demand-based management option to address boat congestion at ...

African Journals Online (AJOL)

2015-07-04

speed boating and jet skiing represent. 20%, 65%, 7.5% and 7.5%, respectively. This implies 4.6 angling boats, 48.75 leisure boats, 0.675 water skiers or speed boaters ..... Theory and Application to Travel Demand. MIT Press ...

Divers of Passenger Demand

OpenAIRE

Wittmer, Andreas

2011-01-01

-Overview drivers of passenger demand -Driver 1: Economic growth in developing countries -Driver 2: International business travel in developed countries -Driver 3: International leisure travel in developed countries

Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling

Directory of Open Access Journals (Sweden)

Yun Wang

2017-10-01

Full Text Available Understanding the public transportation users’ preferences to long-distance travel modes would contribute to reasonable developing policies and resource allocation. This paper aims to explore the influencing mechanism of potential factors on the long-distance travel mode choice. A survey was conducted to collect the data. The analysis of variance (ANOVA approach was applied to analyze the correlation relationship between potential factors and travel mode choice behavior. The results showed that, except gender, service demand for safety and departure time, all of the other factors significantly influenced the travel mode choice behavior. Specifically, passengers with higher education level and income level were more likely to choose high-speed railway (HSR and plane; passengers caring about travel expense were more likely to choose ordinary train, whereas plane and HSR may be chosen more by passengers caring more about comfort, punctuality and efficiency; the more passengers were satisfied with travel modes’ service performance, the more they would be likely to choose them; the most competitive distance ranges for coach, ordinary train, HSR and plane were below 500 km, 500–1000 km, 500–1500 km and over 1500 km, respectively. Besides, the structural equation modeling (SEM technique was applied to investigate the influencing mechanism of factors on the long-distance travel mode choice. The results revealed that travel distance was the most significant variable directly influencing passengers’ mode choices, followed by the service demand, performance evaluation, and personal attributes. Furthermore, personal attributes were verified to have an indirect effect on travel mode choice behavior by significantly affecting the service demand and performance evaluation.

Active Travel Behavior in a Border Region of Texas and New Mexico: Motivators, Deterrents, and Characteristics.

Science.gov (United States)

Sener, Ipek N; Lee, Richard J

2017-08-01

Active travel has been linked with improved transportation and health outcomes, such as reduced traffic congestion and air pollution, improved mobility, accessibility, and equity, and increased physical and mental health. The purpose of this study was to better understand active travel characteristics, motivators, and deterrents in the El Paso, TX, region. A multimodal transportation survey brought together elements of transportation and health, with a focus on attitudinal characteristics. The analysis consisted of an initial descriptive analysis, spatial analysis, and multivariate binary and ordered-response models of walking and bicycling behavior. The motivators and deterrents of active travel differed for walkers, bicyclists, and noncyclists interested in bicycling. The link between active travel and life satisfaction was moderated by age, with a negative association for older travelers. This effect was stronger for bicycling than it was for walking. Based on the findings, several interventions to encourage walking and bicycling were suggested. These included infrastructure and built environment enhancements, workplace programs, and interventions targeting specific subpopulations.

The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities

OpenAIRE

Longden, Thomas

2016-01-01

Regular and irregular travel patterns coincide with different underlying purposes of travel and days of the week. Within this paper, it is shown that the balance between subsistence (i.e. work) and discretionary (i.e. leisure) activities is related to differences in travel patterns and explains consistency across years. Using eight years of time use diary entries this paper finds that travel time related to subsistence activities tends to be regular and stable. In contrast, travel time associ...

Influence of travel behavior on global CO2 emissions

NARCIS (Netherlands)

Girod, B.; Vuuren, D.P. van; Vries, B. de

2013-01-01

Travel demand is rising steeply and its contribution to global CO2 emissions is increasing. Different studies have shown possible mitigation through technological options, but so far few studies have evaluated the implications of changing travel behavior on global travel demand, energy use and CO2

Happiness in motion: emotions, well-being, and active school travel.

Science.gov (United States)

Ramanathan, Subha; O'Brien, Catherine; Faulkner, Guy; Stone, Michelle

2014-08-01

A pan-Canadian School Travel Planning intervention promoted active school travel (AST). A novel component was exploring emotion, well-being, and travel mode framed by the concept of "sustainable happiness." Relationships between travel mode and emotions, parent perceptions of their child's travel mode on well-being, and factors related to parent perceptions were examined. Questionnaires were administered to families (N = 5423) from 76 elementary schools. Explanatory variables were demographics (age and sex), school travel measures (mode, distance, accompaniment by an adult, safety, and barriers), and emotions (parent and child). Outcomes examined parent perceived benefits of travel mode on dimensions of well-being (physical, emotional, community, and environmental). Descriptive statistics, chi-square tests and hierarchical regression were used. Parents and children who used AST reported more positive emotions versus passive travelers. Parents of active travelers reported stronger connections to dimensions of well-being. AST had the strongest association with parents' perceptions of their child's well-being, and positive emotions (parent and child) were also significantly related to well-being on the trip to school. As an additional potential benefit of AST, interventions should raise awareness of the positive emotional experiences for children and their parents. Future research should experimentally examine if AST causes these emotional benefits. © 2014, American School Health Association.

Understanding congested travel in urban areas

Science.gov (United States)

Çolak, Serdar; Lima, Antonio; González, Marta C.

2016-03-01

Rapid urbanization and increasing demand for transportation burdens urban road infrastructures. The interplay of number of vehicles and available road capacity on their routes determines the level of congestion. Although approaches to modify demand and capacity exist, the possible limits of congestion alleviation by only modifying route choices have not been systematically studied. Here we couple the road networks of five diverse cities with the travel demand profiles in the morning peak hour obtained from billions of mobile phone traces to comprehensively analyse urban traffic. We present that a dimensionless ratio of the road supply to the travel demand explains the percentage of time lost in congestion. Finally, we examine congestion relief under a centralized routing scheme with varying levels of awareness of social good and quantify the benefits to show that moderate levels are enough to achieve significant collective travel time savings.

Mind your travel ! Motivation, time use, and intent : Three factors of travel to be investigated

OpenAIRE

PAPON , Francis; Meissonnier , Joël

2013-01-01

The objective is to investigate the drivers of travel demand beyond the need to travel to destination; travellers may engage a trip for the sake of it, at least to some extent: travel includes a share of 'primary utility'. The paper focuses on two types of data and analysis: the primary utility of travel questions passed in the last French national travel survey, and eight dimensions of a trip proposed from a sociological analysis. The paper mixes these approaches and correlate survey answ...

Mental maps and travel behaviour: meanings and models

Science.gov (United States)

Hannes, Els; Kusumastuti, Diana; Espinosa, Maikel León; Janssens, Davy; Vanhoof, Koen; Wets, Geert

2012-04-01

In this paper, the " mental map" concept is positioned with regard to individual travel behaviour to start with. Based on Ogden and Richards' triangle of meaning (The meaning of meaning: a study of the influence of language upon thought and of the science of symbolism. International library of psychology, philosophy and scientific method. Routledge and Kegan Paul, London, 1966) distinct thoughts, referents and symbols originating from different scientific disciplines are identified and explained in order to clear up the notion's fuzziness. Next, the use of this concept in two major areas of research relevant to travel demand modelling is indicated and discussed in detail: spatial cognition and decision-making. The relevance of these constructs to understand and model individual travel behaviour is explained and current research efforts to implement these concepts in travel demand models are addressed. Furthermore, these mental map notions are specified in two types of computational models, i.e. a Bayesian Inference Network (BIN) and a Fuzzy Cognitive Map (FCM). Both models are explained, and a numerical and a real-life example are provided. Both approaches yield a detailed quantitative representation of the mental map of decision-making problems in travel behaviour.

Semiautomatic imputation of activity travel diaries : use of global positioning system traces, prompted recall, and context-sensitive learning algorithms

NARCIS (Netherlands)

Moiseeva, A.; Jessurun, J.; Timmermans, H.J.P.

2010-01-01

The new generation of dynamic activity-based models requires multiday or multiweek activity-travel data. Global Positioning System (GPS) tracers may be a powerful technology to collect such data, but previous applications of this technology to collect data of full activity travel patterns (not just

Dynamic activity-travel assignment in multi-state supernetworks with road and location capacity constraints

NARCIS (Netherlands)

Liu, P.; Liao, F.; Huang, H.; Timmermans, H.J.P.

2016-01-01

A unified framework coupling activity-based modelling and dynamic traffic assignment has recently been proposed. It formulates dynamic activity-travel assignment (DATA) in multi-state supernetworks as a dynamic user equilibrium. Choices of departure time, route, mode, activity sequence, and

Neighborhood walkability and active travel (walking and cycling) in New York City.

Science.gov (United States)

Freeman, Lance; Neckerman, Kathryn; Schwartz-Soicher, Ofira; Quinn, James; Richards, Catherine; Bader, Michael D M; Lovasi, Gina; Jack, Darby; Weiss, Christopher; Konty, Kevin; Arno, Peter; Viola, Deborah; Kerker, Bonnie; Rundle, Andrew G

2013-08-01

Urban planners have suggested that built environment characteristics can support active travel (walking and cycling) and reduce sedentary behavior. This study assessed whether engagement in active travel is associated with neighborhood walkability measured for zip codes in New York City. Data were analyzed on engagement in active travel and the frequency of walking or biking ten blocks or more in the past month, from 8,064 respondents to the New York City 2003 Community Health Survey (CHS). A neighborhood walkability scale that measures: residential, intersection, and subway stop density; land use mix; and the ratio of retail building floor area to retail land area was calculated for each zip code. Data were analyzed using zero-inflated negative binomial regression incorporating survey sample weights and adjusting for respondents' sociodemographic characteristics. Overall, 44 % of respondents reported no episodes of active travel and among those who reported any episode, the mean number was 43.2 episodes per month. Comparing the 75th to the 25th percentile of zip code walkability, the odds ratio for reporting zero episodes of active travel was 0.71 (95 % CI 0.61, 0.83) and the exponentiated beta coefficient for the count of episodes of active travel was 1.13 (95 % CI 1.06, 1.21). Associations between lower walkability and reporting zero episodes of active travel were significantly stronger for non-Hispanic Whites as compared to non-Hispanic Blacks and to Hispanics and for those living in higher income zip codes. The results suggest that neighborhood walkability is associated with higher engagement in active travel.

Development of a measurement approach to assess time children participate in organized sport, active travel, outdoor active play, and curriculum-based physical activity.

Science.gov (United States)

Borghese, Michael M; Janssen, Ian

2018-03-22

Children participate in four main types of physical activity: organized sport, active travel, outdoor active play, and curriculum-based physical activity. The objective of this study was to develop a valid approach that can be used to concurrently measure time spent in each of these types of physical activity. Two samples (sample 1: n = 50; sample 2: n = 83) of children aged 10-13 wore an accelerometer and a GPS watch continuously over 7 days. They also completed a log where they recorded the start and end times of organized sport sessions. Sample 1 also completed an outdoor time log where they recorded the times they went outdoors and a description of the outdoor activity. Sample 2 also completed a curriculum log where they recorded times they participated in physical activity (e.g., physical education) during class time. We describe the development of a measurement approach that can be used to concurrently assess the time children spend participating in specific types of physical activity. The approach uses a combination of data from accelerometers, GPS, and activity logs and relies on merging and then processing these data using several manual (e.g., data checks and cleaning) and automated (e.g., algorithms) procedures. In the new measurement approach time spent in organized sport is estimated using the activity log. Time spent in active travel is estimated using an existing algorithm that uses GPS data. Time spent in outdoor active play is estimated using an algorithm (with a sensitivity and specificity of 85%) that was developed using data collected in sample 1 and which uses all of the data sources. Time spent in curriculum-based physical activity is estimated using an algorithm (with a sensitivity of 78% and specificity of 92%) that was developed using data collected in sample 2 and which uses accelerometer data collected during class time. There was evidence of excellent intra- and inter-rater reliability of the estimates for all of these types of

“If You Don’t Do Parking Management .. Forget Your Behaviour Change, It’s Not Going to Work.”: Health and Transport Practitioner Perspectives on Workplace Active Travel Promotion

Science.gov (United States)

Rissel, Chris; Wen, Li Ming

2017-01-01

Objectives After having conducted two studies of the effectiveness of workplace travel plans for promoting active travel, we investigated health and transport practitioners’ perspectives on implementing workplace travel plans to share some of the lessons learnt. The objectives of this study were to describe perceived elements of effective workplace travel plans, barriers and enablers to workplace travel planning, their experiences of working with the other profession on travel plan implementation, their recommendations for workplace travel planning, and also to explore similarities and differences in transport and health practitioner perspectives. Materials and Methods Fourteen health and ten transport practitioners who had prior involvement in workplace travel plan programs were purposefully selected from workplaces in Australia. We conducted 20 in-depth interviews since data saturation had been reached at this point, and data were subject to framework analysis. Results Perceived essential elements of effective workplace travel plans included parking management; leadership, organisational commitment and governance; skills and other resources like a dedicated travel plan coordinator; and, pre-conditions including supportive transport infrastructure in the surrounds. Recommendations for promoting travel plans included supportive government policy, focusing on business benefits and working at different scales of implementation (e.g. single large worksites and business precincts). Health and transport practitioner perspectives differed, with transport practitioners believing that parking management is the key action for managing travel demand at a worksite. Conclusions Health practitioners implementing travel plans may require training including concepts of travel demand management, and support from transport planners on parking management strategies. Promoting an understanding of the shared travel behaviour change skills of transport and health practitioners may

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data

OpenAIRE

Recker, W. W.; Kang, J. E.

2010-01-01

With the success of Hybrid Electric Vehicles (HEVs) in the automobile market, Plug-In Hybrid Electric Vehicles (PHEVs) are emerging as the next evolution of this attractive alternative. PHEV market penetration is expected to lead to lower gasoline consumption and less emission. The main objective of this research is to assess PHEVs’ energy profile impacts based on simulation of vehicles used in activity and travel patterns drawn from the 2000-2001 California Statewide Household Travel Survey....

Correlates of distances traveled to use recreational facilities for physical activity behaviors

Directory of Open Access Journals (Sweden)

Bulsara Max

2006-07-01

Full Text Available Abstract Background Information regarding how far people are willing to travel to use destinations for different types of recreational physical activity behaviors is limited. This study examines the demographic characteristics, neighborhood opportunity and specific-physical activity behaviors associated with distances traveled to destinations used for recreational physical activity. Methods A secondary analysis was undertaken of data (n = 1006 from a survey of Western Australian adults. Road network distances between respondents' homes and 1 formal recreational facilities; 2 beaches and rivers; and 3 parks and ovals used for physical activity were determined. Associations between distances to destinations and demographic characteristics, neighborhood opportunity (number of destinations within 1600 meters of household, and physical activity behaviors were examined. Results Overall, 56.3% of respondents had used a formal recreational facility, 39.9% a beach or river, and 38.7% a park or oval. The mean distance traveled to all destinations used for physical activity was 5463 ± 5232 meters (m. Distances traveled to formal recreational facilities, beaches and rivers, and parks and ovals differed depending on the physical activity undertaken. Younger adults traveled further than older adults (7311.8 vs. 6012.6 m, p = 0.03 to use beaches and rivers as did residents of socio-economically disadvantaged areas compared with those in advantaged areas (8118.0 vs. 7311.8 m, p = 0.02. Club members traveled further than non-members to use parks and ovals (4156.3 vs. 3351.6 meters, p = 0.02. The type of physical activity undertaken at a destination and number of neighborhood opportunities were also associated with distance traveled for all destination types. Conclusion The distances adults travel to a recreational facility depends on the demographic characteristics, destination type, physical activity behavior undertaken at that destination, and number of

A relational approach to analysing leisure travel

NARCIS (Netherlands)

Ettema, D.F.; Schwanen, T.

2012-01-01

Leisure travel makes up a very significant part of daily travel and therefore needs to be considered in any travel demand management or general land use and transportation policy. Yet, research into leisure mobility has tended to ignore important aspects of leisure travel, such as its joint

Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior

NARCIS (Netherlands)

Nijland, L.; Arentze, T.A.; Timmermans, H.J.P.

2014-01-01

Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of

Multi-Day Activity Scheduling Reactions to Planned Activities and Future Events in a Dynamic Model of Activity-Travel Behavior

NARCIS (Netherlands)

Nijland, L.; Arentze, T.; Timmermans, H.

2014-01-01

Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of

A survey of joint activities and travel of household members in the Greater Copenhagen Metropolitan Region

DEFF Research Database (Denmark)

Thorhauge, Mikkel; Vuk, Goran; Kaplan, Sigal

2012-01-01

and family quality time, within a daily schedule. The current study unveils the joint activity and travel patterns of household members in the Copenhagen area, as part of the ACTUM research project, funded by the Danish Strategic Research Council, for the development of a new generation of activity......The traditional approach for modeling transport-related choices in Denmark refers to individual decision makers. However, in daily activities and travel choices individuals function according to the commitments as family members, and thus their choices derive from the welfare needs of other family...... members. A family-based approach enables to capture intra-household interactions and the priorities of household members in scheduling their daily activities, thus adding to the realism and the predictive strength of transport models. Joint activities and travel occur in order to maximize efficiency...

The use of choice heuristic in daily activity travel behaviour: an expert system

OpenAIRE

HANNES, Els; JANSSENS, Davy; WETS, Geert

2007-01-01

This research project aims at identifying the critical spatial factors in an individual’s mental map which influence daily activity travel behaviour in order to improve the agentbased modelling of activity travel behaviour by means of a computational process model. A qualitative travel survey and in depth interviews are used to identify the spatial factors that appear in the destination and travel mode choice heuristics of experts when discussing their daily activity space. Recorded interview...

Travel demand management : a toolbox of strategies to reduce single\\0x2010occupant vehicle trips and increase alternate mode usage in Arizona.

Science.gov (United States)

2012-02-01

The report provides a suite of recommended strategies to reduce single-occupant vehicle traffic in the urban : areas of Phoenix and Tucson, Arizona, which are presented as a travel demand management toolbox. The : toolbox includes supporting research...

Social activities and travel demands : a model-based analysis of social-network data

NARCIS (Netherlands)

Molin, E.J.E.; Arentze, T.A.; Timmermans, H.J.P.

2007-01-01

Social activities are responsible for an important share of trips conducted by individuals. This paper contributes to a rapidly increasing stream of transportation research into individuals' choice of social relations and trips made to maintain their social relations. A method that was used to

CONSIDERING TRAVEL TIME RELIABILITY AND SAFETY FOR EVALUATION OF CONGESTION RELIEF SCHEMES ON EXPRESSWAY SEGMENTS

Directory of Open Access Journals (Sweden)

Babak MEHRAN

2009-01-01

Full Text Available Evaluation of the efficiency of congestion relief schemes on expressways has generally been based on average travel time analysis. However, road authorities are much more interested in knowing the possible impacts of improvement schemes on safety and travel time reliability prior to implementing them in real conditions. A methodology is presented to estimate travel time reliability based on modeling travel time variations as a function of demand, capacity and weather conditions. For a subject expressway segment, patterns of demand and capacity were generated for each 5-minute interval over a year by using the Monte-Carlo simulation technique, and accidents were generated randomly according to traffic conditions. A whole year analysis was performed by comparing demand and available capacity for each scenario and shockwave analysis was used to estimate the queue length at each time interval. Travel times were estimated from refined speed-flow relationships and buffer time index was estimated as a measure of travel time reliability. it was shown that the estimated reliability measures and predicted number of accidents are very close to observed values through empirical data. After validation, the methodology was applied to assess the impact of two alternative congestion relief schemes on a subject expressway segment. one alternative was to open the hard shoulder to traffic during the peak period, while the other was to reduce the peak period demand by 15%. The extent of improvements in travel conditions and safety, likewise the reduction in road users' costs after implementing each improvement scheme were estimated. it was shown that both strategies can result in up to 23% reduction in the number of occurred accidents and significant improvements in travel time reliability. Finally, the advantages and challenging issues of selecting each improvement scheme were discussed.

Travel determinants and multi-scale transferability of national activity patterns to local populations

Energy Technology Data Exchange (ETDEWEB)

Henson, Kriste M [Los Alamos National Laboratory; Gou; ias, Konstadinos G [UCSB

2010-11-30

The ability to transfer national travel patterns to a local population is of interest when attempting to model megaregions or areas that exceed metropolitan planning organization (MPO) boundaries. At the core of this research are questions about the connection between travel behavior and land use, urban form, and accessibility. As a part of this process, a group of land use variables have been identified to define activity and travel patterns for individuals and households. The 2001 National Household Travel Survey (NHTS) participants are divided into categories comprised of a set of latent cluster models representing persons, travel, and land use. These are compared to two sets of cluster models constructed for two local travel surveys. Comparison of means statistical tests are used to assess differences among sociodemographic groups residing in localities with similar land uses. The results show that the NHTS and the local surveys share mean population activity and travel characteristics. However, these similarities mask behavioral heterogeneity that are shown when distributions of activity and travel behavior are examined. Therefore, data from a national household travel survey cannot be used to model local population travel characteristics if the goal to model the actual distributions and not mean travel behavior characteristics.

Enhancing Transportation Education through On-line Simulation using an Agent-Based Demand and Assignment Model

OpenAIRE

Shanjiang Zhu; Feng Xie; David Levinson

2005-01-01

This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment Model (ADAM), that is consistent with our present understanding of travel behavior, that is platform independent, and that is easy to learn and is thus usable by students. An in-class project incorporate...

Public transport optimisation emphasising passengers’ travel behaviour

DEFF Research Database (Denmark)

Jensen, Jens Parbo

to the case where the two problems are solved sequentially without taking into account interdependencies. Figure 1 - Planning public transport The PhD study develops a metaheuristic algorithm to adapt the line plan configuration in order better to match passengers’ travel demand in terms of transfers as well......Passengers in public transport complaining about their travel experiences are not uncommon. This might seem counterintuitive since several operators worldwide are presenting better key performance indicators year by year. The present PhD study focuses on developing optimisation algorithms...... to enhance the operations of public transport while explicitly emphasising passengers’ travel behaviour and preferences. Similar to economic theory, interactions between supply and demand are omnipresent in the context of public transport operations. In public transport, the demand is represented...

Active travel to work and cardiovascular risk factors in the United Kingdom.

Science.gov (United States)

Laverty, Anthony A; Mindell, Jennifer S; Webb, Elizabeth A; Millett, Christopher

2013-09-01

Increasing active travel (walking, cycling, public transport) is increasingly seen as integral to strategies to raise physical activity levels. This study examined (1) sociodemographic correlates of active travel to work and (2) associations between active travel and cardiovascular risk factors in the United Kingdom (UK). Data come from Understanding Society, a nationally representative survey of UK residents in 2009/2011, analyzed in 2012. Multinomial logistic regression assessed associations between sociodemographic factors and mode of transport to work. Linear and logistic regression was used to examine associations between mode of travel and overweight/obesity, and having hypertension or diabetes. A total of 69% of participants traveled to work using private transport, with public transport, walking, and cycling used by 16%, 12%, and 3%, respectively. Use of any active travel was more likely in participants living in London. Black participants were more likely to walk (AOR=1.41, 95% CI=1.08, 1.84) or take public transport (AOR=2.34, 95% CI=1.88, 2.90) to work than whites. Using public transport, walking, or cycling to work was associated with a lower likelihood of being overweight (AOR=0.80, 95% CI=0.54, 0.88 for walking). Walking or cycling was associated with a lower likelihood of having diabetes, and walking was associated with a lower likelihood of having hypertension than private transport (AOR=0.83, 95% CI=0.71, 0.97). There are wide variations in the mode of travel to work across regions and sociodemographic groups in the UK. The protective association between active travel and cardiovascular risk demonstrated in this nationally representative study adds to growing evidence that concerted policy focus in this area may benefit population health. Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Domestic and outbound tourism demand in Australia: a System-of-Equations Approach

OpenAIRE

George Athanasopoulos; Minfeng Deng; Gang Li; Haiyan Song

2013-01-01

This study uses a system-of-equations approach to model the substitution relationship between Australian domestic and outbound tourism demand. A new price variable based on relative ratios of purchasing power parity index is developed for the substitution analysis. Short-run demand elasticities are calculated based on the estimated dynamic almost ideal demand system. The empirical results reveal significant substitution relationships between Australian domestic tourism and outbound travel to ...

An Analysis of the Demand for and Value of Outdoor Recreation in the United States.

Science.gov (United States)

Bergstrom, John C.; Cordell, H. Ken

1991-01-01

Results of a study of demand equations for 37 outdoor recreational activities using a multicommunity, multisite travel cost model suggest that determinants of the demand for outdoor recreation include population, residence, income, age, price, quality, and recreational opportunity substitutes. (JD)

How Do Sociodemographics and Activity Participations Affect Activity-Travel? Comparative Study between Women and Men

Directory of Open Access Journals (Sweden)

Min Yang

2014-01-01

Full Text Available Activity-travel behaviors of women and men are different because they have different social and household responsibilities. However, studies concerning gender differences are mainly limited in developed countries. This paper concentrates on gender role-based differences in activity-travel behavior in a typical developing country, namely, China. Using data from 3656 cases collected through surveys conducted in Shangyu, data processing, method choice, and descriptive analysis were conducted. Binary and ordered logistic regression models segmented by gender were developed to evaluate the mechanism through which individual sociodemographics, household characteristics, and activity participations affect the number of trip chain types and activities for women and men. The results show that women aged 30 to 50 perform less subsistence activities. However, the difference between the different age groups of men is not as significant. In addition, men with bicycles and electric bicycles have more subsistence and maintenance activities, whereas women do not have these attributes. Moreover, women with children under schooling age make more maintenance trip chains but less leisure trip chains and activities, whereas men are free from this influence. Furthermore, both women and men perform more subsistence activities if the duration increases, and men have less influences than women do.

Use of cellphone technology in activity and travel data collection

CSIR Research Space (South Africa)

Krygsman, S

2006-02-01

Full Text Available Data needs of developing countries, particularly in terms of activity and travel data collection, are explored in this poster. This proof-of-concept study revealed that it is indeed possible to obtain detailed individual travel behaviour data from...

Pecan shell-based granular activated carbon for treatment of chemical oxygen demand (COD) in municipal wastewater.

Science.gov (United States)

Bansode, R R; Losso, J N; Marshall, W E; Rao, R M; Portier, R J

2004-09-01

The present investigation was undertaken to compare the adsorption efficiency of pecan shell-based granular activated carbon with the adsorption efficiency of the commercial carbon Filtrasorb 200 with respect to uptake of the organic components responsible for the chemical oxygen demand (COD) of municipal wastewater. Adsorption efficiencies for these two sets of carbons (experimental and commercial) were analyzed by the Freundlich adsorption model. The results indicate that steam-activated and acid-activated pecan shell-based carbons had higher adsorption for organic matter measured as COD, than carbon dioxide-activated pecan shell-based carbon or Filtrasorb 200 at all the carbon dosages used during the experiment. The higher adsorption may be related to surface area as the two carbons with the highest surface area also had the highest organic matter adsorption. These results show that granular activated carbons made from agricultural waste (pecan shells) can be used with greater effectiveness for organic matter removal from municipal wastewater than a coal-based commercial carbon. Copyright 2004 Elsevier Ltd.

A Nondominated Genetic Algorithm Procedure for Multiobjective Discrete Network Design under Demand Uncertainty

Directory of Open Access Journals (Sweden)

Bian Changzhi

2015-01-01

Full Text Available This paper addresses the multiobjective discrete network design problem under demand uncertainty. The OD travel demands are supposed to be random variables with the given probability distribution. The problem is formulated as a bilevel stochastic optimization model where the decision maker’s objective is to minimize the construction cost, the expectation, and the standard deviation of total travel time simultaneously and the user’s route choice is described using user equilibrium model on the improved network under all scenarios of uncertain demand. The proposed model generates globally near-optimal Pareto solutions for network configurations based on the Monte Carlo simulation and nondominated sorting genetic algorithms II. Numerical experiments implemented on Nguyen-Dupuis test network show trade-offs among construction cost, the expectation, and standard deviation of total travel time under uncertainty are obvious. Investment on transportation facilities is an efficient method to improve the network performance and reduce risk under demand uncertainty, but it has an obvious marginal decreasing effect.

Transferring 2001 National Household Travel Survey

Energy Technology Data Exchange (ETDEWEB)

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New

Air Charter - The Business Airline of the Future...But, Does the Business Traveler Know?

Science.gov (United States)

Kaps, Robert W.; Gardner, Robin C.; Hartung, Jeffrey W.

2001-01-01

Historically, FAR Part 121 commercial carriers have provided efficient, economical and safe air transportation for corporate and business users. Recently, however, corporate and business travelers find their travel plans disrupted by delays, bankruptcies, poor service, lost baggage, fare increases, labor strikes and other systemic difficulties that degrade their travel experience to unsatisfactory levels. This article examines these Part 121 service delivery problems and, utilizing a tripartite investigative methodology, examines an alternative air transport mode: FAR Part 135 on-demand charter travel products. This long extant segment of our national air transportation system is set prime to support increased demand for charter services. Corporate and business travelers are set prime to utilize viable, cost effective alternatives to commercial travel products. Two research questions emerge. First is whether corporate and business travelers are aware of Part 135 travel alternatives. Second is whether Part 135 charter service providers are aware of this latent demand and are effectively targeting this demand segment in their marketing efforts. The three-part surveys employed to investigate these questions examined demand side

Functional features of travel magazines: retrospective view

Directory of Open Access Journals (Sweden)

Gromova Lyudmila Petrovna

2015-09-01

Full Text Available The article considers the features of the functional purpose of travel magazines (travelogue, their genesis, evolution, traits, depending on the socio-political context and, accordingly, requests from the readership. The progenitor of the travel magazines in Russia was journey literature that took root in the genre of travel notes. The forerunner of today’s travelogues can be considered «Nikita Akinfievich Demidov’s travel magazine» (1786, presenting daily travel notes, mostly laconic, sometimes deployed to fascinating travel notes Magazines at different times performed cultural and educational, didactic, aesthetic and ideological functions, immersing the reader in the living conditions of the countries and continents, showing the diversity of the world. Today, traveling is seen as a multifaceted activity that is due to the result of freedom of movement, numerous hiking trails, access to information in the network space takes new character. Accordingly, the media market is a process of qualitative and quantitative changes. There is a growing number of distribution channels, many of which are convergent evolution. The transformation of the old forms is determined by market demand. These processes are inevitably reflected in the dominance of certain functions of the travelogue. However, their essential purpose remains the same: to inform, educate and entertain.

Elasticity of Long Distance Travelling

DEFF Research Database (Denmark)

Knudsen, Mette Aagaard

2011-01-01

With data from the Danish expenditure survey for 12 years 1996 through 2007, this study analyses household expenditures for long distance travelling. Household expenditures are examined at two levels of aggregation having the general expenditures on transportation and leisure relative to five other...... aggregated commodities at the highest level, and the specific expenditures on plane tickets and travel packages at the lowest level. The Almost Ideal Demand System is applied to determine the relationship between expenditures on transportation and leisure and all other purchased non-durables within...... packages has higher income elasticity of demand than plane tickets but also higher than transportation and leisure in general. The findings within price sensitiveness are not as sufficient estimated, but the model results indicate that travel packages is far more price elastic than plane tickets which...

Critical capacity, travel time delays and travel time distribution of rapid mass transit systems

Science.gov (United States)

Legara, Erika Fille; Monterola, Christopher; Lee, Kee Khoon; Hung, Gih Guang

2014-07-01

We set up a mechanistic agent-based model of a rapid mass transit system. Using empirical data from Singapore's unidentifiable smart fare card, we validate our model by reconstructing actual travel demand and duration of travel statistics. We subsequently use this model to investigate two phenomena that are known to significantly affect the dynamics within the RTS: (1) overloading in trains and (2) overcrowding in the RTS platform. We demonstrate that by varying the loading capacity of trains, a tipping point emerges at which an exponential increase in the duration of travel time delays is observed. We also probe the impact on the rail system dynamics of three types of passenger growth distribution across stations: (i) Dirac delta, (ii) uniform and (iii) geometric, which is reminiscent of the effect of land use on transport. Under the assumption of a fixed loading capacity, we demonstrate the dependence of a given origin-destination (OD) pair on the flow volume of commuters in station platforms.

A random regret minimization model of travel choice

NARCIS (Netherlands)

Chorus, C.G.; Arentze, T.A.; Timmermans, H.J.P.

2008-01-01

Abstract This paper presents an alternative to Random Utility-Maximization models of travel choice. Our Random Regret-Minimization model is rooted in Regret Theory and provides several useful features for travel demand analysis. Firstly, it allows for the possibility that choices between travel

Active Travel by Built Environment and Lifecycle Stage: Case Study of Osaka Metropolitan Area.

Science.gov (United States)

Waygood, E Owen D; Sun, Yilin; Letarte, Laurence

2015-12-15

Active travel can contribute to physical activity achieved over a day. Previous studies have examined active travel associated with trips in various western countries, but few studies have examined this question for the Asian context. Japan has high levels of cycling, walking and public transport, similar to The Netherlands. Most studies have focused either on children or on adults separately, however, having children in a household will change the travel needs and wants of that household. Thus, here a household lifecycle stage approach is applied. Further, unlike many previous studies, the active travel related to public transport is included. Lastly, further to examining whether the built environment has an influence on the accumulation of active travel minutes, a binary logistic regression examines the built environment's influence on the World Health Organization's recommendations of physical activity. The findings suggest that there is a clear distinction between the urbanized centers and the surrounding towns and unurbanized areas. Further, active travel related to public transport trips is larger than pure walking trips. Females and children are more likely to achieve the WHO recommendations. Finally, car ownership is a strong negative influence.

Social networks, social interactions, and activity-travel behavior: a framework for microsimulation

NARCIS (Netherlands)

Arentze, T.A.; Timmermans, H.J.P.

2007-01-01

We argue that the social networks and activity-travel patterns of people interact and coevolve over time. Through social interaction, people exchange information about activity-travel choice alternatives and adapt their latent and overt preferences for alternatives to each other. At the same time,

Projected Effect of Increased Active Travel in German Urban Regions on the Risk of Type 2 Diabetes

Science.gov (United States)

Brinks, Ralph; Hoyer, Annika; Kuss, Oliver; Rathmann, Wolfgang

2015-01-01

Background Future transportation policy is likely to reduce emissions in the cities and urban regions by strengthening active travel. Increased walking and cycling are known to have positive effects on health outcomes. This work estimates effects of increased active travel on type 2 diabetes in Germany, where 64% of the population live in urban regions. Methods Based on the effect size of an increased active travel scenario reported from a recent meta-analysis, we project the change in the life time risk, the proportion of prevented cases and the change in diabetes free life time in a German birth cohort (born 1985) compared to business as usual. Results The absolute risk reduction of developing type 2 diabetes before the age of 80 is 6.4% [95% confidence interval: 3.7-9.7%] for men and 4.7% [2.2-7.7%] for women, respectively. Compared to business as usual, the increased active travel scenario prevents 14.0% [8.1-21.2%] of the future cases of diabetes in men and 15.8% [9.3-23.1%] in women. Diabetes free survival increases by 1.7 [1.0-2.7] years in men and 1.4 [0.6-2.3] in women. Conclusions Our projection predicts a substantial impact of increased active travel on the future burden of type 2 diabetes. The most striking effect may be seen in the number of prevented cases. In all urban regions with an increased active travel transport policy, about one out of seven male and one out of six female cases can be prevented. PMID:25849819

Projected effect of increased active travel in German urban regions on the risk of type 2 diabetes.

Directory of Open Access Journals (Sweden)

Ralph Brinks

Full Text Available Future transportation policy is likely to reduce emissions in the cities and urban regions by strengthening active travel. Increased walking and cycling are known to have positive effects on health outcomes. This work estimates effects of increased active travel on type 2 diabetes in Germany, where 64% of the population live in urban regions.Based on the effect size of an increased active travel scenario reported from a recent meta-analysis, we project the change in the life time risk, the proportion of prevented cases and the change in diabetes free life time in a German birth cohort (born 1985 compared to business as usual.The absolute risk reduction of developing type 2 diabetes before the age of 80 is 6.4% [95% confidence interval: 3.7-9.7%] for men and 4.7% [2.2-7.7%] for women, respectively. Compared to business as usual, the increased active travel scenario prevents 14.0% [8.1-21.2%] of the future cases of diabetes in men and 15.8% [9.3-23.1%] in women. Diabetes free survival increases by 1.7 [1.0-2.7] years in men and 1.4 [0.6-2.3] in women.Our projection predicts a substantial impact of increased active travel on the future burden of type 2 diabetes. The most striking effect may be seen in the number of prevented cases. In all urban regions with an increased active travel transport policy, about one out of seven male and one out of six female cases can be prevented.

Power System Transient Diagnostics Based on Novel Traveling Wave Detection

Science.gov (United States)

Hamidi, Reza Jalilzadeh

Modern electrical power systems demand novel diagnostic approaches to enhancing the system resiliency by improving the state-of-the-art algorithms. The proliferation of high-voltage optical transducers and high time-resolution measurements provide opportunities to develop novel diagnostic methods of very fast transients in power systems. At the same time, emerging complex configuration, such as multi-terminal hybrid transmission systems, limits the applications of the traditional diagnostic methods, especially in fault location and health monitoring. The impedance-based fault-location methods are inefficient for cross-bounded cables, which are widely used for connection of offshore wind farms to the main grid. Thus, this dissertation first presents a novel traveling wave-based fault-location method for hybrid multi-terminal transmission systems. The proposed method utilizes time-synchronized high-sampling voltage measurements. The traveling wave arrival times (ATs) are detected by observation of the squares of wavelet transformation coefficients. Using the ATs, an over-determined set of linear equations are developed for noise reduction, and consequently, the faulty segment is determined based on the characteristics of the provided equation set. Then, the fault location is estimated. The accuracy and capabilities of the proposed fault location method are evaluated and also compared to the existing traveling-wave-based method for a wide range of fault parameters. In order to improve power systems stability, auto-reclosing (AR), single-phase auto-reclosing (SPAR), and adaptive single-phase auto-reclosing (ASPAR) methods have been developed with the final objectives of distinguishing between the transient and permanent faults to clear the transient faults without de-energization of the solid phases. However, the features of the electrical arcs (transient faults) are severely influenced by a number of random parameters, including the convection of the air and plasma

Modeling, implementation, and validation of arterial travel time reliability : [summary].

Science.gov (United States)

2013-11-01

Travel time reliability (TTR) has been proposed as : a better measure of a facilitys performance than : a statistical measure like peak hour demand. TTR : is based on more information about average traffic : flows and longer time periods, thus inc...

Accounting for ethnicity in recreation demand: a flexible count data approach

Science.gov (United States)

J. Michael Bowker; V.R. Leeworthy

1998-01-01

The authors examine ethnicity and individual trip-taking behavior associated with natural resource based recreation in the Florida Keys. Bowker and Leeworthy estimate trip demand using the travel cost method. They then extend this model with a varying parameter adaptation to test the congruency of' demand and economic value across white and Hispanic user subgroups...

An analysis of short haul air passenger demand, volume 2

Science.gov (United States)

Blumer, T. P.; Swan, W. M.

1978-01-01

Several demand models for short haul air travel are proposed and calibrated on pooled data. The models are designed to predict demand and analyze some of the motivating phenomena behind demand generation. In particular, an attempt is made to include the effects of competing modes and of alternate destinations. The results support three conclusions: (1) the auto mode is the air mode's major competitor; (2) trip time is an overriding factor in intermodal competition, with air fare at its present level appearing unimportant to the typical short haul air traveler; and (3) distance appears to underly several demand generating phenomena, and therefore, must be considered very carefully to any intercity demand model. It may be the cause of the wide range of fare elasticities reported by researchers over the past 15 years. A behavioral demand model is proposed and calibrated. It combines the travel generating effects of income and population, the effects of modal split, the sensitivity of travel to price and time, and the effect of alternative destinations satisfying the trip purpose.

Danish long distance travel A study of Danish travel behaviour and the role of infrequent travel activities

OpenAIRE

Knudsen, Mette Aagaard; Rich, Jeppe; Nielsen, Otto Anker

2014-01-01

Historically there has been a lack of knowledge with respect to long distance travel. Due to the considerable contribution of long distance travel to total travelled kilometres and the related energy consumption from the transport sector and derived impacts on greenhouse emissions, this is problematic. The average travel distance has steadily increased during the latest decades together with the increasing motorisation of daily travel and international aviation. Previously most focus has been...

A travel time forecasting model based on change-point detection method

Science.gov (United States)

LI, Shupeng; GUANG, Xiaoping; QIAN, Yongsheng; ZENG, Junwei

2017-06-01

Travel time parameters obtained from road traffic sensors data play an important role in traffic management practice. A travel time forecasting model is proposed for urban road traffic sensors data based on the method of change-point detection in this paper. The first-order differential operation is used for preprocessing over the actual loop data; a change-point detection algorithm is designed to classify the sequence of large number of travel time data items into several patterns; then a travel time forecasting model is established based on autoregressive integrated moving average (ARIMA) model. By computer simulation, different control parameters are chosen for adaptive change point search for travel time series, which is divided into several sections of similar state.Then linear weight function is used to fit travel time sequence and to forecast travel time. The results show that the model has high accuracy in travel time forecasting.

Regional demand and supply projections for outdoor recreation

Science.gov (United States)

Donald B. K. English; Carter J. Betz; J. Mark Young; John C. Bergstrom; H. Ken Cordell

1993-01-01

This paper develops regional recreation supply and demand projections, by combining coefficients from the national 1989 RPA Assessment models with regional regressor values. Regional recreation opportunity estimates also are developed, based on regional travel behavior. Results show important regional variations in projections of recreation opportunities, trip supply,...

Optimal Path Choice in Railway Passenger Travel Network Based on Residual Train Capacity

Directory of Open Access Journals (Sweden)

Fei Dou

2014-01-01

Full Text Available Passenger’s optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost constraints before departure. In this study, railway passenger travel network is constructed based on train timetable. Both the generalized cost function we developed and the residual train capacity are considered to be the foundation of path searching procedure. The railway passenger travel network topology is analyzed based on residual train capacity. Considering the total travel time, the total travel cost, and the total number of passengers, we propose an optimal path searching algorithm based on residual train capacity in railway passenger travel network. Finally, the rationale of the railway passenger travel network and the optimal path generation algorithm are verified positively by case study.

School Travel Planning: Mobilizing School and Community Resources to Encourage Active School Transportation

Science.gov (United States)

Buliung, Ron; Faulkner, Guy; Beesley, Theresa; Kennedy, Jacky

2011-01-01

Background: Active school transport (AST), school travel using an active mode like walking, may be important to children's overall physical activity. A "school travel plan" (STP) documents a school's transport characteristics and provides an action plan to address school and neighborhood barriers to AST. Methods: We conducted a pilot STP…

Socioeconomic position and work, travel, and recreation-related physical activity in Japanese adults: a cross-sectional study.

Science.gov (United States)

Matsushita, Munehiro; Harada, Kazuhiro; Arao, Takashi

2015-09-18

The aim of this study was to examine the association between socioeconomic position and the domains of physical activity connected with work, travel, and recreation in Japanese adults. A total of 3269 subjects, 1651 men (mean ± standard deviation; 44.2 ± 8.1 years) and 1618 women (44.1 ± 8.1 years), responded to an Internet-based cross-sectional survey. Data on socioeconomic (household income, educational level) and demographic variables (age, size of household, and household motor vehicles) were obtained. To examine the associations between socioeconomic position and physical activity, logistic regression analysis was used to calculate the odds ratio (OR) and confidence interval (CI) for "active" domains of physical activity. Men with a household income of ≥ 7 million yen had significantly lower work-related physical activity than the lowest income group (OR 0.51; 95 % CI, 0.35-0.75), but significantly greater travel-related (OR 1.37; 1.02-1.85), recreational (OR 2.00; 1.46-2.73) and total physical activity (OR 1.56; 1.17-2.08). Women with a household income of ≥ 7 million yen had significantly greater recreational physical activity (OR 1.43; 1.01-2.04) than the lowest income group. Their total physical activity was borderline significant, with slightly more activity in the high-income group (OR 1.36; 1.00-1.84), but no significant differences for work- and travel-related physical activity. Men with higher educational level (4-year college or higher degree) had significantly lower work-related (OR 0.62; 0.46-0.82), and greater travel-related physical activity (OR 1.33; 1.04-1.71) than the lowest educated group, but there were no significant differences in recreational and total physical activity. Women with a 4-year college or higher degree had significantly greater travel-related physical activity than the lowest educated group (OR 1.49; 1.12-1.97), but there were no significant differences in any other physical activity. There was no relation between

Built environment predictors of active travel to school among rural adolescents.

Science.gov (United States)

Dalton, Madeline A; Longacre, Meghan R; Drake, Keith M; Gibson, Lucinda; Adachi-Mejia, Anna M; Swain, Karin; Xie, Haiyi; Owens, Peter M

2011-03-01

Most studies of active travel to school (ATS) have been conducted in urban or suburban areas and focused on young children. Little is known about ATS among rural adolescents. To describe adolescent ATS in two predominantly rural states and determine if school neighborhood built environment characteristics (BECs) predict ATS after adjusting for school and individual characteristics. Sixteen BECs were assessed through census data and onsite observations of 45 school neighborhoods in 2007. ATS and individual characteristics were assessed through telephone surveys with 1552 adolescents and their parents between 2007 and 2008. Active travelers were defined as those who walked/cycled to/from school ≥1 day/week. Hierarchic linear modeling was used for analysis, conducted in 2009. Slightly less than half (n=735) of the sample lived within 3 miles of school, of whom 388 (52.8%) were active travelers. ATS frequency varied by season, ranging from a mean of 1.7 (SD=2.0) days/week in the winter to 3.7 (SD=1.6) in the spring. Adolescents who attended schools in highly dense residential neighborhoods with sidewalks were most likely to be active travelers. ATS frequency was greater in school neighborhoods with high residential and intersection densities, on-street parking, food outlets, and taller and continuous buildings with small setbacks. The BECs that support safe travel may be necessary to allow for ATS, whereas ATS frequency among adolescents may be influenced by a wider variety of design characteristics. Additional strategies to promote ATS and physical activity are needed in rural areas because of long commuting distances for many students. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Solidarity by demand? Exit and voice in international medical travel - The case of Indonesia

NARCIS (Netherlands)

Ormond, M.E.

2015-01-01

Globally, more patients are intentionally travelling abroad as consumers for medical care. However, while scholars have begun to examine international medical travel's (IMT) impacts on the people and places that receive medical travellers, study of its impacts on medical travellers' home contexts

Global travel within the 2 °C climate target

International Nuclear Information System (INIS)

Girod, Bastien; Vuuren, Detlef P. van; Deetman, Sebastiaan

2012-01-01

Long-term scenarios generally project a steep increase in global travel demand, leading to an rapid rise in CO 2 emissions. Major driving forces are the increasing car use in developing countries and the global growth in air travel. Meeting the 2 °C climate target, however, requires a deep cut in CO 2 emissions. In this paper, we explore how extensive emission reductions may be achieved, using a newly developed travel model. This bottom-up model covers 26 world regions, 7 travel modes and different vehicle types. In the experiments, we applied a carbon tax and looked into the model’s responses in terms of overall travel demand, modal split shifts, and changes in technology and fuel choice. We introduce two main scenarios in which biofuels are assumed to be carbon neutral (not subject to taxation, scenario A) or to lead to some greenhouse gas emissions (and therefore subject to taxation, scenario B). This leads to very different outcomes. Scenario A achieves emission reductions mostly through changes in fuel use. In Scenario B efficiency improvement and model split changes also play a major role. In both scenarios total travel volume is affected only marginally. - Highlights: ► This study evaluates deep reduction in direct CO 2 emissions of passenger transportation. ► The TRAVEL model is used to derive cost optimal scenarios. ► TRAVEL considers changes in fuel use, energy efficiency and mode split. ► Emissions reductions in line with the 2 °C target are feasible. ► Despite high carbon tax resulting reduction in travel demand is low.

Active Listening : A View of Canadian Culture through Travel Conversations

OpenAIRE

ピアセツキ, リオン

2006-01-01

Ideas concerning the role of listening in SLA have evolved considerably in the last thirty years. In the 1960’s most researchers were convinced that listening was a passive skill of minor importance. However, listening is now considered a critical aspect of daily life and thus deserves primary consideration in SLA teaching and research. This article considers the role of listening in developing SL proficiency and offers an example of listening activities based on travel conversations. It is s...

Business travel and sustainability

OpenAIRE

AGUILERA, Anne

2013-01-01

Although it contributes significantly to the demand for transport, in particular air transport, business travel has been relatively neglected in thinking about the strategies needed to promote more sustainable mobility practices. This paper provides a two-stage approach to this subject. We begin by showing how the sustainability of business travel is relevant not only in environmental terms, but also from an economic and social perspective. In the second stage, we consider the strategies that...

Demand Management Based on Model Predictive Control Techniques

Directory of Open Access Journals (Sweden)

Yasser A. Davizón

2014-01-01

Full Text Available Demand management (DM is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price. Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits. DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue. This paper introduces control system approach to demand management with dynamic pricing (DP using the model predictive control (MPC technique. In addition, we present a proper dynamical system analogy based on active suspension and a stability analysis is provided via the Lyapunov direct method.

Trends in Automobile Travel, Motor Vehicle Fatalities, and Physical Activity: 2003-2015.

Science.gov (United States)

McDonald, Noreen C

2017-05-01

Annual per-capita automobile travel declined by 600 miles from 2003 to 2014 with decreases greatest among young adults. This article tests whether the decline has been accompanied by public health co-benefits of increased physical activity and decreased motor vehicle fatalities. Minutes of auto travel and physical activity derived from active travel, sports, and exercise were obtained from the American Time Use Survey. Fatalities were measured using the Fatality Analysis Reporting System. Longitudinal change was assessed for adults aged 20-59 years by age group and sex. Significance of changes was assessed by absolute differences and unadjusted and adjusted linear trends. Analyses were conducted in 2016. Daily auto travel decreased by 9.2 minutes from 2003 to 2014 for all ages (ptravel showed only modest declines across age groups and, for men aged 20-29 years, varied from 10.9 (95% CI=10.0, 11.7) in 2003 to 9.7 (95% CI=8.7, 10.8) in 2014. Reduced motor vehicle fatalities are a public health co-benefit of decreased driving, especially for male millennials. Despite suggestions to the contrary, individuals did not switch from cars to active modes nor spend more time in sports and exercise. Maintenance of the safety benefits requires additional attention to road safety efforts, particularly as auto travel increases. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Improving health through policies that promote active travel

DEFF Research Database (Denmark)

de Nazelle, Audrey; Nieuwenhuijsen, Mark J; Antó, Josep M

2011-01-01

Substantial policy changes to control obesity, limit chronic disease, and reduce air pollution emissions, including greenhouse gasses, have been recommended. Transportation and planning policies that promote active travel by walking and cycling can contribute to these goals, potentially yielding...

Road pricing and its consequences for individual travel patterns

DEFF Research Database (Denmark)

Rich, Jeppe; Axhausen, Kay W.; Schönfelder, Stefan

2007-01-01

While mobility pricing is discussed as a suitable tool for tackling urban traffic problems, its impact on the travel pattern of individuals is largely unexplored. Individual responses to pricing emerge as a number of different changes. As an example, it involves the reduction in actual trip-makin...... the choice of destinations and the size and structure of activity spaces (employing measures developed for longitudinal travel data by Schönfelder and Axhausen).......While mobility pricing is discussed as a suitable tool for tackling urban traffic problems, its impact on the travel pattern of individuals is largely unexplored. Individual responses to pricing emerge as a number of different changes. As an example, it involves the reduction in actual trip...... used to simulate road pricing by displaying cost information for every trip driven. The experiment showed significant demand effects with a decrease in daily kilometres travelled between 0 and 40 per cent depending on the location and the pricing scheme; however, the deeper impacts on personal mobility...

Socioeconomic and travel demand forecasts for Virginia and potential policy responses : a report for VTrans2035 : Virginia's statewide multimodal transportation plan.

Science.gov (United States)

2009-01-01

VTrans2035, Virginia's statewide multimodal transportation plan, requires 25-year forecasts of socioeconomic and travel activity. Between 2010 and 2035, daily vehicle miles traveled (DVMT) will increase between 35% and 45%, accompanied by increases i...

Factors Adopting E-Travel Website: The Case of Indonesia

OpenAIRE

Vera Pujani; Alfitman; Refdinal Nazir

2012-01-01

E-travel is travel agency-s companies employing internet and website as e-commerce context. This study presents numerous initial key factors of electronic travel model based on small travel agencies perspectives. Browsing previous studies related to website travel activities are conducted. Five small travel agencies in Indonesia has been deeply interviewed in case studies. The finding of this research is identifying numerous characteristics and dimension factors and travel website operations ...

31 CFR 575.416 - Travel transactions for journalistic activity in Iraq.

Science.gov (United States)

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Travel transactions for journalistic activity in Iraq. 575.416 Section 575.416 Money and Finance: Treasury Regulations Relating to Money and... newsgathering organization of a work requiring such travel is likely. The latter may be demonstrated by...

Alternative methods for developing external travel survey data.

Science.gov (United States)

2010-10-01

The Texas Department of Transportation (TxDOT) has a comprehensive on-going travel survey : program that supports the travel demand models being developed for transportation planning efforts in urban : areas throughout Texas. One component of the sur...

A high-resolution stochastic model of domestic activity patterns and electricity demand

International Nuclear Information System (INIS)

Widen, Joakim; Waeckelgard, Ewa

2010-01-01

Realistic time-resolved data on occupant behaviour, presence and energy use are important inputs to various types of simulations, including performance of small-scale energy systems and buildings' indoor climate, use of lighting and energy demand. This paper presents a modelling framework for stochastic generation of high-resolution series of such data. The model generates both synthetic activity sequences of individual household members, including occupancy states, and domestic electricity demand based on these patterns. The activity-generating model, based on non-homogeneous Markov chains that are tuned to an extensive empirical time-use data set, creates a realistic spread of activities over time, down to a 1-min resolution. A detailed validation against measurements shows that modelled power demand data for individual households as well as aggregate demand for an arbitrary number of households are highly realistic in terms of end-use composition, annual and diurnal variations, diversity between households, short time-scale fluctuations and load coincidence. An important aim with the model development has been to maintain a sound balance between complexity and output quality. Although the model yields a high-quality output, the proposed model structure is uncomplicated in comparison to other available domestic load models.

What are the health benefits of active travel? A systematic review of trials and cohort studies.

Directory of Open Access Journals (Sweden)

Lucinda E Saunders

Full Text Available BACKGROUND: Increasing active travel (primarily walking and cycling has been widely advocated for reducing obesity levels and achieving other population health benefits. However, the strength of evidence underpinning this strategy is unclear. This study aimed to assess the evidence that active travel has significant health benefits. METHODS: The study design was a systematic review of (i non-randomised and randomised controlled trials, and (ii prospective observational studies examining either (a the effects of interventions to promote active travel or (b the association between active travel and health outcomes. Reports of studies were identified by searching 11 electronic databases, websites, reference lists and papers identified by experts in the field. Prospective observational and intervention studies measuring any health outcome of active travel in the general population were included. Studies of patient groups were excluded. RESULTS: Twenty-four studies from 12 countries were included, of which six were studies conducted with children. Five studies evaluated active travel interventions. Nineteen were prospective cohort studies which did not evaluate the impact of a specific intervention. No studies were identified with obesity as an outcome in adults; one of five prospective cohort studies in children found an association between obesity and active travel. Small positive effects on other health outcomes were found in five intervention studies, but these were all at risk of selection bias. Modest benefits for other health outcomes were identified in five prospective studies. There is suggestive evidence that active travel may have a positive effect on diabetes prevention, which may be an important area for future research. CONCLUSIONS: Active travel may have positive effects on health outcomes, but there is little robust evidence to date of the effectiveness of active transport interventions for reducing obesity. Future evaluations of such

Differences in adolescents' physical activity from school-travel between urban and suburban neighbourhoods in Metro Vancouver, Canada.

Science.gov (United States)

Frazer, Amanda; Voss, Christine; Winters, Meghan; Naylor, Patti-Jean; Higgins, Joan Wharf; McKay, Heather

2015-01-01

To investigate differences in moderate-to-vigorous physical activity (MVPA) from school-travel between adolescents in urban and suburban neighbourhoods and to describe its relative contribution to MVPA on school days. We measured 243 adolescents (51% male, grades 8-10) from Vancouver's walkable downtown core and its largely car-dependent suburb Surrey (fall 2011, 2013). We estimated mean school-travel MVPA from accelerometry (hour before/after school on ≥ 2 days; n = 110, 39% male) and compared school-travel MVPA by neighbourhood type and school-travel mode. The influence of mean school-travel MVPA on mean school-day MVPA (≥ 600 min valid wear time on ≥ 2 days) was examined by linear regression. Over half of students used active modes (urban: 63%, suburban: 53%). Those using active travel and living in the urban neighbourhood obtained the most school-travel MVPA (22.3 ± 8.0 min). Urban passive travellers used public transit and obtained more school-travel MVPA than suburban students (16.9 ± 6.2 vs. 8.0 ± 5.3, p travel MVPA (R (2) = 0.38, p travel MVPA in adolescents. School-travel MVPA is an important contributor to adolescents' school-day MVPA. Where feasible, physically active options for school-travel should be promoted, including public transit.

International business travel: impact on families and travellers.

Science.gov (United States)

Espino, C M; Sundstrom, S M; Frick, H L; Jacobs, M; Peters, M

2002-05-01

Spouses and staff of the World Bank Group (WBG) were questioned about the impact of international business travel on families and travellers. Dependent variables were self reported stress, concern about the health of the traveller, and negative impact on the family. We hypothesised that several travel factors (independent variables) would be associated with these impacts. These travel factors had to do with the frequency, duration, and predictability of travel and its interference with family activities. Survey forms were developed and distributed to all spouses of travelling staff as well as a small sample of operational staff. Kendall's tau b correlation coefficients of response frequencies were computed with the data from scaled items. Written responses to open ended questions were categorised. Response rates for spouses and staff were 24% and 36%, respectively. Half the spouse sample (n=533) and almost 75% of the staff sample (n=102) reported high or very high stress due to business travel. Self reported spouse stress was associated with six out of eight travel factors. Female spouses, those with children, and younger spouses reported greater stress. Self reported staff stress was significantly associated with four out of nine travel factors. Further insight into how business travel affects families and staff (including children's behavioural changes) and how families cope was gained through responses to written questions. The findings support the notion that lengthy and frequent travel and frequent changes in travel dates which affect family plans, all characteristic of WBG missions, negatively affects many spouses and children (particularly young children) and that the strain on families contributes significantly to the stress staff feel about their travel. Policies or management practices that take into consideration family activities and give staff greater leeway in controlling and refusing travel may help relieve stress.

Individual Travel Behavior Modeling of Public Transport Passenger Based on Graph Construction

OpenAIRE

Quan Liang; Jiancheng Weng; Wei Zhou; Selene Baez Santamaria; Jianming Ma; Jian Rong

2018-01-01

This paper presents a novel method for mining the individual travel behavior regularity of different public transport passengers through constructing travel behavior graph based model. The individual travel behavior graph is developed to represent spatial positions, time distributions, and travel routes and further forecasts the public transport passenger’s behavior choice. The proposed travel behavior graph is composed of macronodes, arcs, and transfer probability. Each macronode corresponds...

A Passenger Travel Demand Model for Copenhagen

DEFF Research Database (Denmark)

Overgård, Christian Hansen; Jovicic, Goran

2003-01-01

The passenger travel model for Copenhagen is a state-of-practice nested logit model in which the sub-models - i.e. generation, distribution and mode choice models - are connected via measure of accessibility. The model includes in its structure a large set of explanatory variables at all three...... aims to provide a detailed description of the model, which can be used as a guide to the future development of similar models. Also, an application of the model in a study of road pricing in denmark is described. This gives the reader an idea of how such a policy measure can be modelled as well...

Does improved decision-making ability reduce the physiological demands of game-based activities in field sport athletes?

Science.gov (United States)

Gabbett, Tim J; Carius, Josh; Mulvey, Mike

2008-11-01

This study investigated the effects of video-based perceptual training on pattern recognition and pattern prediction ability in elite field sport athletes and determined whether enhanced perceptual skills influenced the physiological demands of game-based activities. Sixteen elite women soccer players (mean +/- SD age, 18.3 +/- 2.8 years) were allocated to either a video-based perceptual training group (N = 8) or a control group (N = 8). The video-based perceptual training group watched video footage of international women's soccer matches. Twelve training sessions, each 15 minutes in duration, were conducted during a 4-week period. Players performed assessments of speed (5-, 10-, and 20-m sprint), repeated-sprint ability (6 x 20-m sprints, with active recovery on a 15-second cycle), estimated maximal aerobic power (V O2 max, multistage fitness test), and a game-specific video-based perceptual test of pattern recognition and pattern prediction before and after the 4 weeks of video-based perceptual training. The on-field assessments included time-motion analysis completed on all players during a standardized 45-minute small-sided training game, and assessments of passing, shooting, and dribbling decision-making ability. No significant changes were detected in speed, repeated-sprint ability, or estimated V O2 max during the training period. However, video-based perceptual training improved decision accuracy and reduced the number of recall errors, indicating improved game awareness and decision-making ability. Importantly, the improvements in pattern recognition and prediction ability transferred to on-field improvements in passing, shooting, and dribbling decision-making skills. No differences were detected between groups for the time spent standing, walking, jogging, striding, and sprinting during the small-sided training game. These findings demonstrate that video-based perceptual training can be used effectively to enhance the decision-making ability of field

Design Research of TIANDITU (Map Worl)-Based Geographic Information System for Travelling Service

Science.gov (United States)

Zhang, J.; Zhang, H.; Wang, C.

2014-04-01

TIANDITU (Map World) is the public version of the National Platform for Common Geospatial Information Service, and the travelling channel is TIANDITU-based geographic information platform for travelling service. With the development of tourism, traditional ways for providing travelling information cannot meet the needs of travelers. As such, the travelling channel of TIANDITU focuses on providing travel information abundantly and precisely, which integrated the geographic information data of TIANDITU Version 2.0 and the authoritative information resources from China National Tourism Administration. Furthermore, spatial positioning, category and information query of various travelling information were offered for the public in the travelling channel. This research mainly involves three important parts: the system design, key technologies of the system design and application examples. Firstly, this paper introduced the design of TIANDITU-based geographic information system for travelling service, and the general and database design were described in detail. The designs for general, database and travelling service above should consider lots of factors which illustrated in the paper in order to guarantee the efficient service. The process of system construction, the content of geographic information for travelling and system functions of geographic information for travelling are also proposed via diagram in this part. Then several key technologies were discussed, including the travelling information integration for main node and among nodes, general architecture design and management system for travelling channel, web portals and system interface. From the perspective of main technologies, this part describes how TIANDITU travelling channel can realize various functions and reach the requirements from different users. Finally, three application examples about travelling information query were listed shortly. The functions and search results are shown clearly in this

A comparative analysis of short-range travel time prediction methods

NARCIS (Netherlands)

Huisken, Giovanni; van Berkum, Eric C.

2003-01-01

Increasing car mobility has lead to an increasing demand for traffic information. This contribution deals with information about travel times. When car drivers are provided with this type of information, the travel times should ideally be the times that they will encounter. As a result travel times

How urban environment affects travel behavior? Integrated Choice and Latent Variable Model for Travel Schedules

DEFF Research Database (Denmark)

La Paix, Lissy; Bierlaire, Michel; Cherchi, Elisabetta

2013-01-01

The relationship between urban environment and travel behaviour is not a new problem. Neighbourhood characteristics may affect mobility of dwellers in different ways, such as frequency of trips, mode used, structure of the tours, and so on. At the same time, qualitative issues related...... to the individual attitude towards specific behaviour have recently become important in transport modelling contributing to a better understanding of travel demand. Following this research line, in this paper we study the effect of neighbourhood characteristics in the choice of the type of tours performed, but we...... assume that neighbourhood characteristics can also affect the individual propensity to travel and hence the choice of the tours throughout the propensity to travel. Since the propensity to travel is not observed, we employ hybrid choice models to estimate jointly the discrete choice of tours...

31 CFR 575.207 - Prohibited transactions relating to travel to Iraq or to activities within Iraq.

Science.gov (United States)

2010-07-01

... or Iraq; (b) Relating to travel and activities for the conduct of the official business of the United... travel to Iraq or to activities within Iraq. 575.207 Section 575.207 Money and Finance: Treasury... TREASURY IRAQI SANCTIONS REGULATIONS Prohibitions § 575.207 Prohibited transactions relating to travel to...

School Administrators' Perceptions of Factors that Influence Children's Active Travel to School

Science.gov (United States)

Price, Anna E.; Pluto, Delores M.; Ogoussan, Olga; Banda, Jorge A.

2011-01-01

Background: Increasing children's active travel to school may be 1 strategy for addressing the growing prevalence of obesity among school age children. Using the School Travel Survey, we examined South Carolina school district leaders' perceptions of factors that influence elementary and middle school students walking to school. Methods: Frequency…

Activity Demands During Multi-Directional Team Sports: A Systematic Review.

Science.gov (United States)

Taylor, Jeffrey B; Wright, Alexis A; Dischiavi, Steven L; Townsend, M Allison; Marmon, Adam R

2017-12-01

Late-stage rehabilitation programs often incorporate 'sport-specific' demands, but may not optimally simulate the in-game volume or intensity of such activities as sprinting, cutting, jumping, and lateral movement. The aim of this review was to characterize, quantify, and compare straight-line running and multi-directional demands during sport competition. A systematic review of PubMed, CINAHL, SPORTDiscus, and Cochrane Central Register of Controlled Trials databases was conducted. Studies that reported time-motion analysis data on straight-line running, accelerations/decelerations, activity changes, jumping, cutting, or lateral movement over the course of an entire competition in a multi-directional sport (soccer, basketball, lacrosse, handball, field hockey, futsal, volleyball) were included. Data was organized based on sport, age level, and sex and descriptive statistics of the frequency, intensity, time, and volume of the characteristics of running and multi-directional demands were extracted from each study. Eighty-one studies were included in the review (n = 47 soccer, n = 11 basketball, n = 9 handball, n = 7 field hockey, n = 3 futsal, n = 4 volleyball). Variability of sport demand data was found across sports, sexes, and age levels. Specifically, soccer and field hockey demanded the most volume of running, while basketball required the highest ratio of high-intensity running to sprinting. Athletes change activity between 500 and 3000 times over the course of a competition, or once every 2-4 s. Studies of soccer reported the most frequent cutting (up to 800 per game), while studies of basketball reported the highest frequency of lateral movement (up to 450 per game). Basketball (42-56 per game), handball (up to 90 per game), and volleyball (up to 35 per game) were found to require the most jumping. These data may provide an incomplete view of an athlete's straight-line running load, considering that only competition and not practice data was

DEVELOPING GIS-BASED DEMAND-RESPONSIVE TRANSIT SYSTEM IN TEHRAN CITY

Directory of Open Access Journals (Sweden)

H. Faroqi

2015-12-01

Full Text Available Create, maintain and development of public transport network in metropolitan are important problems in the field of urban transport management. In public transport, maximize the efficient use of public fleet capacity has been considered. Concepts and technologies of GIS have provided suitable way for management and optimization of the public transports systems. In demand-responsive public transportation system, firstly fellow traveller groups have been established for applicants based on spatial concepts and tools of GIS, second for each group according to its’ members and their paths, a public vehicle has been allocated to them then based on dynamic routing, the fellow passenger group has been gathered from their origins and has been moved to their destinations through optimal route. The suggested system has been implemented based on network data and commuting trips statistics of 1 to 6 districts in Tehran city. Evaluation performed on the results show the 34% increase using of Taxi capacity, 13% increase using of Van capacity and 10% increase using of Bus capacity in comparison between current public transport system and suggested public transportation system has been improved.

Estimating the effect of urban density on fuel demand

Energy Technology Data Exchange (ETDEWEB)

Karathodorou, Niovi; Graham, Daniel J. [Imperial College London, London, SW7 2AZ (United Kingdom); Noland, Robert B. [Rutgers University, New Brunswick, NJ 08901 (United States)

2010-01-15

Much of the empirical literature on fuel demand presents estimates derived from national data which do not permit any explicit consideration of the spatial structure of the economy. Intuitively we would expect the degree of spatial concentration of activities to have a strong link with transport fuel consumption. The present paper addresses this theme by estimating a fuel demand model for urban areas to provide a direct estimate of the elasticity of demand with respect to urban density. Fuel demand per capita is decomposed into car stock per capita, fuel consumption per kilometre and annual distance driven per car per year. Urban density is found to affect fuel consumption, mostly through variations in the car stock and in the distances travelled, rather than through fuel consumption per kilometre. (author)

Objectively measured active travel and uses of activity-friendly neighborhood resources: Does change in use relate to change in physical activity and BMI?

Directory of Open Access Journals (Sweden)

Barbara B. Brown

2017-12-01

Full Text Available Few studies examine how objectively measured use of local physical activity resources contributes to objectively-measured healthy physical activity and weight changes over time. We utilized objective measures to test whether changes in active travel and uses of three physical activity (PA resources–parks, recreation centers, and transit– related to changes in PA and BMI. Adults (n=536 in Salt Lake City, UT, wore accelerometer and GPS units in 2012 and 2013, before and after neighborhood rail completion. Regression outcomes included accelerometer counts per minute (cpm, MVPA (moderate-to-vigorous activity minutes/10h accelerometer wear and measured BMI; key predictors were changes in active travel and PA resource uses (former and new uses. Significant results (all p<0.05 showed that increased active travel related to increased total PA (59.86cpm and 8.50 MVPA; decreased active travel related to decreased MVPA (−3.01 MVPA. Poorer outcomes were seen after discontinuing use of parks (−36.29cpm, −5.73 MVPA, and +0.44 BMI points, recreation centers (−6.18 MVPA, and transit (−48.14cpm, −5.43 MVPA, and +0.66 BMI. Healthier outcomes were seen after commencing use of parks (29.83cpm, 5.25 MVPA, recreation centers (44.63cpm and transit (38.44cpm, 4.17 MVPA, and −0.56 BMI. Transit and park/recreational center uses were unrelated, although park users were more likely to be recreation center users. Active travel and use of three neighborhood PA resources relate to healthy activity and could be fostered by policy and design. Keywords: Recreation center, Accelerometry, Active transport, Built environment, Parks, Global positioning system

Vietnamese Domestic Tourism: An Investigation of Travel Motivations

Directory of Open Access Journals (Sweden)

Lee Jolliffe

2011-01-01

Full Text Available This article approaches domestic tourism in Vietnam from a native Asian perspective aiming to examine Vietnamese domestic travel motivations. This quantitative study is based on a self-administered questionnaire to survey 230 Vietnamese domestic travellers. Results highlight the significant roles of the employer sponsoring the trip, family, travel promotion, and favourable weather in determining travel, in addition to their motivations to seek time for leisure and recreation. Moreover, the study detected a perception gap between the tourist’s demand and the travel agent’s supply. The behaviour of Vietnamese domestic travellers reflects the characteristics of a transition economy and reveals certain aspects which are also peculiar to other Asian countries. --- Die hier präsentierte quantitative Studie untersucht Reisemotive vietnamesischer InlandstouristInnen mittels eines an 230 ProbandInnen gerichteten Fragebogens. Die Ergebnisse heben neben dem Motiv der Freizeitgestaltung und Erholung die signifikante Rolle der Reisefinanzierung durch Arbeit- geberInnen, der Familie, der Tourismuswerbung sowie der Wetterbedingungen für die Reiseentscheidung hervor. Außerdem ergab die Studie, dass sich die touristischen Motivationen vom Angebot der Reiseagenturen unterscheiden. Die Autorinnen argumentieren, dass das Urlaubsverhalten vietnamesischer InlandstouristInnen Charakteristika eines im wirtschaftlichen Umbruch befindenden Landes widerspiegelt sowie Aspekte aufzeigt, die auch in anderen asiatischen Ländern eine wichtige Rolle spielen.

Leisure and Travel Choice

OpenAIRE

María José Caride; Eduardo L. Giménez

2003-01-01

It is commonly recognized the relevance of transportation costs for studying recre- ational demand. However, these costs are related with travel and modal choice deci- sions. This paper o ers a theoretical explanation of the new generation of the demand for recreational goods at destiny after the introduction of a new transportation mode that is not the cheapest nor the fastest among the available modes. The main feature of the model deals with the transportation mode-dependent preferences. T...

New Product Development Based on Demand

OpenAIRE

Davis-Krook, Shelby

2015-01-01

The purpose of this thesis was to determine how to develop a new product based on demand within a target market for an international company. Specifically looking at developing a new product line in an already developed brand, Alpha Performance. The research I have conducted in the following topics may help Alpha Performance if they choose to use my findings to create a one of a kind woman’s clothing line based on the demands of the Finnish market: target market research, product demand rese...

An analytical approach to activating demand elasticity with a demand response mechanism

International Nuclear Information System (INIS)

Clastres, Cedric; Khalfallah, Haikel

2015-01-01

The aim of this work is to demonstrate analytically the conditions under which activating the elasticity of consumer demand could benefit social welfare. We have developed an analytical equilibrium model to quantify the effect of deploying demand response on social welfare and energy trade. The novelty of this research is that it demonstrates the existence of an optimal area for the price signal in which demand response enhances social welfare. This optimal area is negatively correlated to the degree of competitiveness of generation technologies and the market size of the system. In particular, it should be noted that the value of un-served energy or energy reduction which the producers could lose from such a demand response scheme would limit its effectiveness. This constraint is even greater if energy trade between countries is limited. Finally, we have demonstrated scope for more aggressive demand response, when only considering the impact in terms of consumer surplus. (authors)

Towards a differentiated understanding of active travel behaviour: using social theory to explore everyday commuting.

Science.gov (United States)

Guell, C; Panter, J; Jones, N R; Ogilvie, D

2012-07-01

Fostering physical activity is an established public health priority for the primary prevention of a variety of chronic diseases. One promising population approach is to seek to embed physical activity in everyday lives by promoting walking and cycling to and from work ('active commuting') as an alternative to driving. Predominantly quantitative epidemiological studies have investigated travel behaviours, their determinants and how they may be changed towards more active choices. This study aimed to depart from narrow behavioural approaches to travel and investigate the social context of commuting with qualitative social research methods. Within a social practice theory framework, we explored how people describe their commuting experiences and make commuting decisions, and how travel behaviour is embedded in and shaped by commuters' complex social worlds. Forty-nine semi-structured interviews and eighteen photo-elicitation interviews with accompanying field notes were conducted with a subset of the Commuting and Health in Cambridge study cohort, based in the UK. The findings are discussed in terms of three particularly pertinent facets of the commuting experience. Firstly, choice and decisions are shaped by the constantly changing and fluid nature of commuters' social worlds. Secondly, participants express ambiguities in relation to their reasoning, ambitions and identities as commuters. Finally, commuting needs to be understood as an embodied and emotional practice. With this in mind, we suggest that everyday decision-making in commuting requires the tactical negotiation of these complexities. This study can help to explain the limitations of more quantitative and static models and frameworks in predicting travel behaviour and identify future research directions. Copyright © 2012 Elsevier Ltd. All rights reserved.

Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

International Nuclear Information System (INIS)

Bartusch, Cajsa; Wallin, Fredrik; Odlare, Monica; Vassileva, Iana; Wester, Lars

2011-01-01

Increased demand response is essential to fully exploit the Swedish power system, which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate change. Demand response programs are, nonetheless, still exceptional in the residential sector of the Swedish electricity market, one contributory factor being lack of knowledge about the extent of the potential gains. In light of these circumstances, this empirical study set out with the intention of estimating the scope of households' response to, and assessing customers' perception of, a demand-based time-of-use electricity distribution tariff. The results show that households as a whole have a fairly high opinion of the demand-based tariff and act on its intrinsic price signals by decreasing peak demand in peak periods and shifting electricity use from peak to off-peak periods. - Highlights: → Households are sympathetic to demand-based tariffs, seeing as they relate to environmental issues. → Households adjust their electricity use to the price signals of demand-based tariffs. → Demand-based tariffs lead to a shift in electricity use from peak to off-peak hours. → Demand-based tariffs lead to a decrease in maximum demand in peak periods. → Magnitude of these effects increases over time.

Construction of road network vulnerability evaluation index based on general travel cost

Science.gov (United States)

Leng, Jun-qiang; Zhai, Jing; Li, Qian-wen; Zhao, Lin

2018-03-01

With the development of China's economy and the continuous improvement of her urban road network, the vulnerability of the urban road network has attracted increasing attention. Based on general travel cost, this work constructs the vulnerability evaluation index for the urban road network, and evaluates the vulnerability of the urban road network from the perspective of user generalised travel cost. Firstly, the generalised travel cost model is constructed based on vehicle cost, travel time, and traveller comfort. Then, the network efficiency index is selected as an evaluation index of vulnerability: the network efficiency index is composed of the traffic volume and the generalised travel cost, which are obtained from the equilibrium state of the network. In addition, the research analyses the influence of traffic capacity decrease, road section attribute value, and location of road section, on vulnerability. Finally, the vulnerability index is used to analyse the local area network of Harbin and verify its applicability.

Population levels of, and inequalities in, active travel: A national, cross-sectional study of adults in Scotland

Directory of Open Access Journals (Sweden)

Jonathan R. Olsen

2017-12-01

Full Text Available This study aimed to describe active travel (walking or cycling in Scotland and explore potential demographic, geographic, and socio-economic inequalities in active travel. We extracted data for the period 2012–13 (39,585 journey stages from the Scottish Household Survey. Survey travel diaries recorded all journeys made on the previous day by sampled individuals aged 16+ living within Scotland, and the stages within each journey. Descriptive statistics were calculated for journey stages, mode, purpose and distance. Logistic regression models were fitted to examine the relationship between the likelihood of a journey stage being active, age, sex, area deprivation and urban/rural classification. A quarter of all journey stages were walked or cycled (26%, n: 10,280/39,585; 96% of these were walked. Those living in the least deprived areas travelled a greater average distance per active journey stage than those in the most deprived. The likelihood of an active journey stage was higher for those living in the most deprived areas than for those in the least deprived (Odds Ratio (OR 1.21, 95% CI 1.04–1.41 and for those in younger compared to older age groups (OR 0.44, 95% CI 0.34–0.58. In conclusion, socio-economic inequalities in active travel were identified, but – contrary to the trends for many health-beneficial behaviours – with a greater likelihood of active travel in more deprived areas. This indicates a potential contribution to protecting and improving health for those whose health status tends to be worse. Walking was the most common mode of active travel, and should be promoted as much as cycling. Keywords: Active travel, Physical activity, Urban areas, Rural areas, Health inequality

Risk factors for myocardial infarction during vacation travel.

Science.gov (United States)

Kop, Willem J; Vingerhoets, Ad; Kruithof, Gert-Jan; Gottdiener, John S

2003-01-01

Medical emergencies occur increasingly outside the usual health care area as a result of increased leisure and professional travel. Acute coronary syndromes are the leading cause of mortality during vacation. Vacation activities include physical and emotional triggers for myocardial infarction (MI). This study examines characteristics of vacation travel as risk factors for MI. Patients diagnosed with MI during vacation abroad (N = 92; age, 59.5 +/- 10.2; 79 men) were recruited through an emergency health insurance organization. Risk indicators for Vacation MI were examined and included: cardiovascular risk factors, psychosocial measures, and specific demands and activities related to vacation (eg, lodging accommodations, unfamiliar destination, mode of transportation, short-term planning). Vacation MI patients were compared with two reference groups: age-matched Vacation Controls with noncardiovascular medical emergencies (N = 67) and Hospital MI Controls, admitted in their usual health care area (N = 30). Vacation MI occurred disproportionately (21.1%) during the first 2 days of vacation. Cardiovascular risk factors were more prevalent among Vacation MI patients than Vacation Controls (p values traveling by car versus other modes of transportation (OR = 2.5, CI = 1.0-6.1) and among patients staying in a tent or mobile home versus hotel (OR = 9.7, CI = 2.0-47.9). Incidence of MI during vacation is highest during the first 2 days of vacation. Vacation activities such as adverse driving conditions and less luxurious accommodations may increase risk for MI. Individuals with known vulnerability for MI may therefore benefit from minimizing physical and emotional challenges specifically related to vacation travel.

CNET and APT : a comparison of two methods for measuring mental representations underlying activity-travel choices

NARCIS (Netherlands)

Horeni, O.; Arentze, T.A.; Dellaert, B.G.C.; Timmermans, H.J.P.

2010-01-01

This paper presents and compares the potential of online versions of two interview techniques (APT and CNET) which have been developed for measuring mental representations underlying activity-travel choices. The comparison is based on the results of a first online survey administered in the

Solidarity by demand? Exit and voice in international medical travel - the case of Indonesia.

Science.gov (United States)

Ormond, Meghann

2015-01-01

Globally, more patients are intentionally travelling abroad as consumers for medical care. However, while scholars have begun to examine international medical travel's (IMT) impacts on the people and places that receive medical travellers, study of its impacts on medical travellers' home contexts has been negligible and largely speculative. While proponents praise IMT's potential to make home health systems more responsive to the needs of market-savvy healthcare consumers, critics identify it as a way to further de-politicise the satisfaction of healthcare needs. This article draws from work on political consumerism, health advocacy and social movements to argue for a reframing of IMT not as a 'one-off' statement about or an event external to struggles over access, rights and recognition within medical travellers' home health systems but rather as one of a range of critical forms of on-going engagement embedded within these struggles. To do this, the limited extant empirical work addressing domestic impacts of IMT is reviewed and a case study of Indonesian medical travel to Malaysia is presented. The case study material draws from 85 interviews undertaken in 2007-08 and 2012 with Indonesian and Malaysian respondents involved in IMT as care recipients, formal and informal care-providers, intermediaries, promoters and policy-makers. Evidence from the review and case study suggests that IMT may effect political and social change within medical travellers' home contexts at micro and macro levels by altering the perspectives, habits, expectations and accountability of, and complicity among, medical travellers, their families, communities, formal and informal intermediaries, and medical providers both within and beyond the container of the nation-state. Impacts are conditioned by the ideological foundations underpinning home political and social systems, the status of a medical traveller's ailment or therapy, and the existence of organised support for recognition and

Financial incentives to promote active travel: an evidence review and economic framework.

Science.gov (United States)

Martin, Adam; Suhrcke, Marc; Ogilvie, David

2012-12-01

Financial incentives, including taxes and subsidies, can be used to encourage behavior change. They are common in transport policy for tackling externalities associated with use of motor vehicles, and in public health for influencing alcohol consumption and smoking behaviors. Financial incentives also offer policymakers a compromise between "nudging," which may be insufficient for changing habitual behavior, and regulations that restrict individual choice. The literature review identified studies published between January 1997 and January 2012 of financial incentives relating to any mode of travel in which the impact on active travel, physical activity, or obesity levels was reported. It encompassed macroenvironmental schemes, such as gasoline taxes, and microenvironmental schemes, such as employer-subsidized bicycles. Five relevant reviews and 20 primary studies (of which nine were not included in the reviews) were identified. The results show that more-robust evidence is required if policymakers are to maximize the health impact of fiscal policy relating to transport schemes of this kind. Drawing on a literature review and insights from the SLOTH (sleep, leisure, occupation, transportation, and home-based activities) time-budget model, this paper argues that financial incentives may have a larger role in promoting walking and cycling than is acknowledged generally. Copyright © 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Motor demand-dependent activation of ipsilateral motor cortex.

Science.gov (United States)

Buetefisch, Cathrin M; Revill, Kate Pirog; Shuster, Linda; Hines, Benjamin; Parsons, Michael

2014-08-15

The role of ipsilateral primary motor cortex (M1) in hand motor control during complex task performance remains controversial. Bilateral M1 activation is inconsistently observed in functional (f)MRI studies of unilateral hand performance. Two factors limit the interpretation of these data. As the motor tasks differ qualitatively in these studies, it is conceivable that M1 contributions differ with the demand on skillfulness. Second, most studies lack the verification of a strictly unilateral execution of the motor task during the acquisition of imaging data. Here, we use fMRI to determine whether ipsilateral M1 activity depends on the demand for precision in a pointing task where precision varied quantitatively while movement trajectories remained equal. Thirteen healthy participants used an MRI-compatible joystick to point to targets of four different sizes in a block design. A clustered acquisition technique allowed simultaneous fMRI/EMG data collection and confirmed that movements were strictly unilateral. Accuracy of performance increased with target size. Overall, the pointing task revealed activation in contralateral and ipsilateral M1, extending into contralateral somatosensory and parietal areas. Target size-dependent activation differences were found in ipsilateral M1 extending into the temporal/parietal junction, where activation increased with increasing demand on accuracy. The results suggest that ipsilateral M1 is active during the execution of a unilateral motor task and that its activity is modulated by the demand on precision. Copyright © 2014 the American Physiological Society.

Competition with Online and Offline Demands considering Logistics Costs Based on the Hotelling Model

Directory of Open Access Journals (Sweden)

Zhi-Hua Hu

2014-01-01

Full Text Available Through popular information technologies (e.g., call centers, web portal, ecommerce and social media, etc., traditional shops change their functions for servicing online demands while still providing offline sales and services, which expand the market and the service capacity. In the Hotelling model that formulates the demand effect by considering just offline demand, the shops in a line city will locate at the center as a the result of competition by games. The online demands are met by the delivery logistics services provided by the shops with additional cost; the consumers’ waiting time after their orders also affects their choices for shops. The main purpose is to study the effects of the following aspects on the shops’ location competition: two logistics costs (consumers’ travelling cost for offline demands and the shops’ delivery logistics cost for online demands, the consumers’ waiting cost for online orders, and the ratios of online demands to the whole demands. Therefore, this study primarily contributes to the literature on the formulation of these aspects by extending the Hotelling model. These features and effects are demonstrated by experiments using the extended Hotelling models.

Travel fatigue and home ground advantage in South African Super ...

African Journals Online (AJOL)

The Rugby Union Super 12 competition was an annual sporting event which ... before they travel com- pared with their home matches after travelling for their 4 - ... cause this competition places unusual demands on the players. For example ...

Individual single-site travel cost model for Czech paradise geopark

Directory of Open Access Journals (Sweden)

Jan Špaček

2013-01-01

Full Text Available Geotourism is a new phenomenon, which has emerged in the tourism literature during the past two decades, and whose meaning suffered from global census. Geotourism is still a new discipline and relatively little has been written about its demand side, demonstrated by a lack of studies in the literature This article studies the recreational value of geotourism areas, and focuses on the first geopark in the Czech Republic, namely the Czech Paradise Geopark. To assess the recreational value the travel cost method is applied, specifically the individual travel cost model. The necessary research data was gathered through intensive tourist surveys conducted in the study area. Data gathered in the respondents’ survey served to determine the consumer surplus as a measure of recreational value and to develop the single site travel cost model. The dependent variable in the conducted model is the number of visits in the area and among the independent variables, studied age, education, travel cost, family status, economic activity and income. The results were subsequently compared to findings in the available literature, research works and case studies.

The Effect of Light Rail Transit on Physical Activity: Design and Methods of the Travel-Related Activity in Neighborhoods Study.

Science.gov (United States)

Durand, Casey P; Oluyomi, Abiodun O; Gabriel, Kelley Pettee; Salvo, Deborah; Sener, Ipek N; Hoelscher, Deanna M; Knell, Gregory; Tang, Xiaohui; Porter, Anna K; Robertson, Michael C; Kohl, Harold W

2016-01-01

Use of mass transit has been proposed as a way to incorporate regular physical activity into daily life because transit use typically requires additional travel to access and depart the stop or station. If this additional travel is active, a small but potentially important amount of physical activity can be achieved daily. Although prior research has shown that transit use is associated with physical activity, important questions remain unanswered. Utilizing a major expansion of the Houston, TX, USA light-rail system as a natural experiment, the Houston Travel-Related Activity in Neighborhoods (TRAIN) Study was developed to address these unanswered questions. The purpose of the TRAIN Study is to determine if the development of light-rail lines in Houston, TX, USA will prospectively affect both transit use and physical activity over 4 years. We also aim to understand how contextual effects (i.e., moderators or interaction effects), such as the neighborhood built environment and socioeconomic factors, affect the primary relations under study. The TRAIN Study is a longitudinal cohort design, in which participants are recruited at baseline from a 3-mile buffer around each of the three new lines and measured annually four times. Recruitment is accomplished via telephone contact, ads in newspapers and advertising circulars, and targeted community outreach. Data are collected via mail and include questionnaire-assessed factors, such as perceived neighborhood characteristics, attitudes about transportation, demographics, and reported physical activity; a travel diary; and accelerometry. Additionally, field-based neighborhood audits are conducted to capture micro-scale environmental features. To assess macro-scale environmental characteristics, we utilize GIS mapping and spatial analyses. Statistical analyses will be conducted using latent growth curve modeling and discrete choice models, with a focus on identifying moderating factors (i.e., statistical interaction

Long-range traveling waves of activity triggered by local dichoptic stimulation in V1 of behaving monkeys

Science.gov (United States)

Yang, Zhiyong; Heeger, David J.; Blake, Randolph

2014-01-01

Traveling waves of cortical activity, in which local stimulation triggers lateral spread of activity to distal locations, have been hypothesized to play an important role in cortical function. However, there is conflicting physiological evidence for the existence of spreading traveling waves of neural activity triggered locally. Dichoptic stimulation, in which the two eyes view dissimilar monocular patterns, can lead to dynamic wave-like fluctuations in visual perception and therefore, provides a promising means for identifying and studying cortical traveling waves. Here, we used voltage-sensitive dye imaging to test for the existence of traveling waves of activity in the primary visual cortex of awake, fixating monkeys viewing dichoptic stimuli. We find clear traveling waves that are initiated by brief, localized contrast increments in one of the monocular patterns and then, propagate at speeds of ∼30 mm/s. These results demonstrate that under an appropriate visual context, circuitry in visual cortex in alert animals is capable of supporting long-range traveling waves triggered by local stimulation. PMID:25343785

A comparative study of machine learning classifiers for modeling travel mode choice

NARCIS (Netherlands)

Hagenauer, J; Helbich, M

2017-01-01

The analysis of travel mode choice is an important task in transportation planning and policy making in order to understand and predict travel demands. While advances in machine learning have led to numerous powerful classifiers, their usefulness for modeling travel mode choice remains largely

Modelling energy demand for a fleet of hydrogen-electric vehicles interacting with a clean energy hub

International Nuclear Information System (INIS)

Syed, F.; Fowler, M.; Wan, D.; Maniyali, Y.

2009-01-01

This paper details the development of an energy demand model for a hydrogen-electric vehicle fleet and the modelling of the fleet interactions with a clean energy hub. The approach taken is to model the architecture and daily operation of every individual vehicle in the fleet. A generic architecture was developed based on understanding gained from existing detailed models used in vehicle powertrain design, with daily operation divided into two periods: charging and travelling. During the charging period, the vehicle charges its Electricity Storage System (ESS) and refills its Hydrogen Storage System (HSS), and during the travelling period, the vehicle depletes the ESS and HSS based on distance travelled. Daily travel distance is generated by a stochastic model and is considered an input to the fleet model. The modelling of a clean energy hub is also presented. The clean energy hub functions as an interface between electricity supply and the energy demand (i.e. hydrogen and electricity) of the vehicle fleet. Finally, a sample case is presented to demonstrate the use of the fleet model and its implications on clean energy hub sizing. (author)

Public transport optimisation emphasising passengers’ travel behaviour.

OpenAIRE

Jensen, Jens Parbo; Nielsen, Otto Anker; Prato, Carlo Giacomo

2015-01-01

Passengers in public transport complaining about their travel experiences are not uncommon. This might seem counterintuitive since several operators worldwide are presenting better key performance indicators year by year. The present PhD study focuses on developing optimisation algorithms to enhance the operations of public transport while explicitly emphasising passengers’ travel behaviour and preferences. Similar to economic theory, interactions between supply and demand are omnipresent in ...

Road infrastructure and demand induction

DEFF Research Database (Denmark)

Nielsen, Thomas Alexander Sick; Hovgesen, Henrik Harder; Lahrmann, Harry

2006-01-01

a long screenline is used to measure the development in aggregate demand in selected corridors. The paper analyses demand induction by establishing time series of aggregate demand that is compared with the national traffic index. Significant trend breaks in the association between aggregate demand...... in the corridors and the national index, following the opening of motorways or bridges, indicates demand induction by infrastructure expansion in a number of instances. Lack of significant trend breaks following opening year is found in peripheral areas where major population centres are missing. This indicates...... the necessity of some latent demand within suitable travel range for new infrastructure elements to produce significant amounts of induced demand. Estimates of demand induction as a percentage of the realised demand five years after opening are between 10% and 67% for new motorway sections depending...

Assessing segment- and corridor-based travel-time reliability on urban freeways : final report.

Science.gov (United States)

2016-09-01

Travel time and its reliability are intuitive performance measures for freeway traffic operations. The objective of this project was to quantify segment-based and corridor-based travel time reliability measures on urban freeways. To achieve this obje...

Effects of visually demanding near work on trapezius muscle activity.

Science.gov (United States)

Zetterberg, C; Forsman, M; Richter, H O

2013-10-01

Poor visual ergonomics is associated with visual and neck/shoulder discomfort, but the relation between visual demands and neck/shoulder muscle activity is unclear. The aims of this study were to investigate whether trapezius muscle activity was affected by: (i) eye-lens accommodation; (ii) incongruence between accommodation and convergence; and (iii) presence of neck/shoulder discomfort. Sixty-six participants (33 controls and 33 with neck pain) performed visually demanding near work under four different trial-lens conditions. Results showed that eye-lens accommodation per se did not affect trapezius muscle activity significantly. However, when incongruence between accommodation and convergence was present, a significant positive relationship between eye-lens accommodation and trapezius muscle activity was found. There were no significant group-differences. It was concluded that incongruence between accommodation and convergence is an important factor in the relation between visually demanding near work and trapezius muscle activity. The relatively low demands on accommodation and convergence in the present study imply that visually demanding near work may contribute to increased muscle activity, and over time to the development of near work related neck/shoulder discomfort. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Travel characteristics and health practices among travellers at the travellers' health and vaccination clinic in Singapore.

Science.gov (United States)

Lee, Vernon J; Wilder-Smith, Annelies

2006-10-01

Singapore has a fast-growing travel industry, but few studies have been done on travel characteristics and travel health practices. This study describes the profile and healthseeking behaviour of travellers attending a travel health clinic in Singapore. A cross-sectional survey was conducted on travellers attending the Traveller's Health and Vaccination Centre (THVC) between September and November 2002 using a standardised questionnaire. Information obtained included individual demographic and medical information, travel patterns, vaccination status and travel health practices. Four hundred and ninetyfive (74%) eligible travellers seen at THVC responded to the questionnaire. Their mean age was 36 years; 77% were professionals, managers, executives, and businessmen, students, and white collar workers. Asia was the main travel destination, and most travelled for leisure and resided in hotels or hostels. The median duration of travel was 16 days. Although >90% had previously travelled overseas, only 20% had previously sought pre-travel advice. Malays were significantly underrepresented (P travel advice compared with Chinese, Indians and Malays. Factors associated with seeking pre-travel advice included travel outside of Asia, especially Africa and South America. Singaporean travellers travel more often to cities rather than rural areas, compared with non-Asian travellers. Asia is the preferred destination, and travel outside of Asia is perceived as more risky and is associated with seeking pre-travel advice and vaccinations. Travel patterns and behaviours need to be taken into account when developing evidence-based travel medicine in Asia.

Gamification of active travel to school: A pilot evaluation of the Beat the Street physical activity intervention.

Science.gov (United States)

Coombes, Emma; Jones, Andy

2016-05-01

Beat the Street aims to get children more active by encouraging them to walk and cycle in their neighbourhood using tracking technology with a reward scheme. This pilot study evaluates the impact of Beat the Street on active travel to school in Norwich, UK. Eighty children 8-10 yrs were recruited via an intervention and control school. They wore an accelerometer for 7 days at baseline, mid-intervention and post-intervention (+20 weeks), and completed a travel diary. Physical activity overall was not higher at follow-up amongst intervention children compared to controls. However, there was a positive association between moderate-to-vigorous physical activity (MVPA) during school commute times and the number of days on which children touched a Beat the Street sensor. This equated to 3.46min extra daily MVPA during commute times for children who touched a sensor on 14.5 days (the mean number of days), compared to those who did not engage. We also found weekly active travel increased at the intervention school (+10.0% per child) while it decreased at the control (-7.0%), p=0.056. Further work is needed to understand how improved engagement with the intervention might impact outcomes. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Solving a Location, Allocation, and Capacity Planning Problem with Dynamic Demand and Response Time Service Level

Directory of Open Access Journals (Sweden)

Carrie Ka Yuk Lin

2014-01-01

Full Text Available Logistic systems with uncertain demand, travel time, and on-site processing time are studied here where sequential trip travel is allowed. The relationship between three levels of decisions: facility location, demand allocation, and resource capacity (number of service units, satisfying the response time requirement, is analysed. The problem is formulated as a stochastic mixed integer program. A simulation-based hybrid heuristic is developed to solve the dynamic problem under different response time service level. An initial solution is obtained from solving static location-allocation models, followed by iterative improvement of the three levels of decisions by ejection, reinsertion procedure with memory of feasible and infeasible service regions. Results indicate that a higher response time service level could be achieved by allocating a given resource under an appropriate decentralized policy. Given a response time requirement, the general trend is that the minimum total capacity initially decreases with more facilities. During this stage, variability in travel time has more impact on capacity than variability in demand arrivals. Thereafter, the total capacity remains stable and then gradually increases. When service level requirement is high, the dynamic dispatch based on first-come-first-serve rule requires smaller capacity than the one by nearest-neighbour rule.

Predicting active school travel: The role of planned behavior and habit strength

Science.gov (United States)

2012-01-01

Background Despite strong support for predictive validity of the theory of planned behavior (TPB) substantial variance in both intention and behavior is unaccounted for by the model’s predictors. The present study tested the extent to which habit strength augments the predictive validity of the TPB in relation to a currently under-researched behavior that has important health implications, namely children’s active school travel. Method Participants (N = 126 children aged 8–9 years; 59 % males) were sampled from five elementary schools in the west of Scotland and completed questionnaire measures of all TPB constructs in relation to walking to school and both walking and car/bus use habit. Over the subsequent week, commuting steps on school journeys were measured objectively using an accelerometer. Hierarchical multiple regressions were used to test the predictive utility of the TPB and habit strength in relation to both intention and subsequent behavior. Results The TPB accounted for 41 % and 10 % of the variance in intention and objectively measured behavior, respectively. Together, walking habit and car/bus habit significantly increased the proportion of explained variance in both intention and behavior by 6 %. Perceived behavioral control and both walking and car/bus habit independently predicted intention. Intention and car/bus habit independently predicted behavior. Conclusions The TPB significantly predicts children’s active school travel. However, habit strength augments the predictive validity of the model. The results indicate that school travel is controlled by both intentional and habitual processes. In practice, interventions could usefully decrease the habitual use of motorized transport for travel to school and increase children’s intention to walk (via increases in perceived behavioral control and walking habit, and decreases in car/bus habit). Further research is needed to identify effective strategies for changing these

Social activity-travel patterns : the role of personal networks and communication technology

NARCIS (Netherlands)

Berg, van den P.E.W.

2012-01-01

Social activities are responsible for an important portion of trips and they constitute the fastest growing segment of travel. Moreover, social activities and mobility are important aspects of people’s quality of life. Therefore, social activities are important for transport planners to take into

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids

Science.gov (United States)

Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo

2018-01-01

In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced. PMID:29315250

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids.

Science.gov (United States)

Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo

2018-01-09

In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced.

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids

Directory of Open Access Journals (Sweden)

Claudia Pop

2018-01-01

Full Text Available In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.. In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced.

A Dynamic Travel Time Estimation Model Based on Connected Vehicles

Directory of Open Access Journals (Sweden)

Daxin Tian

2015-01-01

Full Text Available With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

Long distance travel ‘today’

DEFF Research Database (Denmark)

Christensen, Linda

2014-01-01

This paper presents an overview of the Dane’s long distance travel. It is a part of the Drivers and Limits project about long distance travel. Long distance travel is in the project defined as infrequent travel with overnight stay. Danes 15-85 years-old travel in average 5.5 long distance travel...... per year og which a third is for international destinations, a third is for domestic second homes and a third are other domestic trips. However, 87% of the kilometres are for international destinations and only 4% are for domestic second homes. Travel activity is very uneven distributed with only half...... of the population having had a journey during the last three month. At the other hand 60% have travelled internationally during the last year and only 2% have never travelled abroad. The paper presents among other things how the travel activity is distributed on travel purpose and mode and how the mode choice...

Differences in adolescents' physical activity from school-travel between urban and suburban neighbourhoods in Metro Vancouver, Canada

Directory of Open Access Journals (Sweden)

Amanda Frazer

2015-01-01

Conclusion: Urban dwelling may facilitate greater school-travel MVPA in adolescents. School-travel MVPA is an important contributor to adolescents' school-day MVPA. Where feasible, physically active options for school-travel should be promoted, including public transit.

An Optimization Method of Time Window Based on Travel Time and Reliability

Directory of Open Access Journals (Sweden)

Fengjie Fu

2015-01-01

Full Text Available The dynamic change of urban road travel time was analyzed using video image detector data, and it showed cyclic variation, so the signal cycle length at the upstream intersection was conducted as the basic unit of time window; there was some evidence of bimodality in the actual travel time distributions; therefore, the fitting parameters of the travel time bimodal distribution were estimated using the EM algorithm. Then the weighted average value of the two means was indicated as the travel time estimation value, and the Modified Buffer Time Index (MBIT was expressed as travel time variability; based on the characteristics of travel time change and MBIT along with different time windows, the time window was optimized dynamically for minimum MBIT, requiring that the travel time change be lower than the threshold value and traffic incidents can be detected real time; finally, travel times on Shandong Road in Qingdao were estimated every 10 s, 120 s, optimal time windows, and 480 s and the comparisons demonstrated that travel time estimation in optimal time windows can exactly and steadily reflect the real-time traffic. It verifies the effectiveness of the optimization method.

The substantative knowledge base for travel and tourism: a systems model

Science.gov (United States)

David S. Solan

1992-01-01

Strategies for education and professional preparation in travel and tourism have generally been based in traditional tourism-related disciplines providing somewhat narrow perspectives of the tourism phenomenon. The need exists for models that provide comprehensive, holistic perspectives of travel and tourism. This paper presents one such systems model showing that...

Intra-Urban Movement Flow Estimation Using Location Based Social Networking Data

Science.gov (United States)

Kheiri, A.; Karimipour, F.; Forghani, M.

2015-12-01

In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook, which have attracted an increasing number of users and greatly enriched their urban experience. Location-based social network data, as a new travel demand data source, seems to be an alternative or complement to survey data in the study of mobility behavior and activity analysis because of its relatively high access and low cost. In this paper, three OD estimation models have been utilized in order to investigate their relative performance when using Location-Based Social Networking (LBSN) data. For this, the Foursquare LBSN data was used to analyze the intra-urban movement behavioral patterns for the study area, Manhattan, the most densely populated of the five boroughs of New York city. The outputs of models are evaluated using real observations based on different criterions including distance distribution, destination travel constraints. The results demonstrate the promising potential of using LBSN data for urban travel demand analysis and monitoring.

INTRA-URBAN MOVEMENT FLOW ESTIMATION USING LOCATION BASED SOCIAL NETWORKING DATA

Directory of Open Access Journals (Sweden)

A. Kheiri

2015-12-01

Full Text Available In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook, which have attracted an increasing number of users and greatly enriched their urban experience. Location-based social network data, as a new travel demand data source, seems to be an alternative or complement to survey data in the study of mobility behavior and activity analysis because of its relatively high access and low cost. In this paper, three OD estimation models have been utilized in order to investigate their relative performance when using Location-Based Social Networking (LBSN data. For this, the Foursquare LBSN data was used to analyze the intra-urban movement behavioral patterns for the study area, Manhattan, the most densely populated of the five boroughs of New York city. The outputs of models are evaluated using real observations based on different criterions including distance distribution, destination travel constraints. The results demonstrate the promising potential of using LBSN data for urban travel demand analysis and monitoring.

Understanding Air Transportation Market Dynamics Using a Search Algorithm for Calibrating Travel Demand and Price

Science.gov (United States)

Kumar, Vivek; Horio, Brant M.; DeCicco, Anthony H.; Hasan, Shahab; Stouffer, Virginia L.; Smith, Jeremy C.; Guerreiro, Nelson M.

2015-01-01

This paper presents a search algorithm based framework to calibrate origin-destination (O-D) market specific airline ticket demands and prices for the Air Transportation System (ATS). This framework is used for calibrating an agent based model of the air ticket buy-sell process - Airline Evolutionary Simulation (Airline EVOS) -that has fidelity of detail that accounts for airline and consumer behaviors and the interdependencies they share between themselves and the NAS. More specificially, this algorithm simultaneous calibrates demand and airfares for each O-D market, to within specified threshold of a pre-specified target value. The proposed algorithm is illustrated with market data targets provided by the Transportation System Analysis Model (TSAM) and Airline Origin and Destination Survey (DB1B). Although we specify these models and datasources for this calibration exercise, the methods described in this paper are applicable to calibrating any low-level model of the ATS to some other demand forecast model-based data. We argue that using a calibration algorithm such as the one we present here to synchronize ATS models with specialized forecast demand models, is a powerful tool for establishing credible baseline conditions in experiments analyzing the effects of proposed policy changes to the ATS.

DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

OpenAIRE

Zhang, Hanyuan; Wu, Hao; Sun, Weiwei; Zheng, Baihua

2018-01-01

Estimating the travel time of a path is of great importance to smart urban mobility. Existing approaches are either based on estimating the time cost of each road segment which are not able to capture many cross-segment complex factors, or designed heuristically in a non-learning-based way which fail to utilize the existing abundant temporal labels of the data, i.e., the time stamp of each trajectory point. In this paper, we leverage on new development of deep neural networks and propose a no...

RP and SP Data-Based Travel Time Reliabiality Analysis

OpenAIRE

Lu, Ming

2013-01-01

Travel time is considered to be the key criterion when making travel related decisions. As the travel decisions are made in a dynamic environment, the travel time also changes according to the real-time operations of the transport system. More and more evidence proves that travellers are not only interested in the expected travel time but also in travel time reliability. Especially for trips that are made regularly, reliability is valued more than travel time itself. This dissertation focuses...

Travelling with HIV

DEFF Research Database (Denmark)

Nielsen, Ulla S; Jensen-Fangel, Søren; Pedersen, Gitte

2014-01-01

BACKGROUND: We aimed to describe travel patterns, extent of professional pre-travel advice and health problems encountered during travel among HIV-infected individuals. METHODS: During a six-month period a questionnaire was handed out to 2821 adult HIV-infected individuals attending any...... of the eight Danish medical HIV care centers. RESULTS: A total of 763 individuals responded. During the previous two years 49% had travelled outside Europe; 18% had travelled less and 30% were more cautious when choosing travel destination than before the HIV diagnosis. Pre-travel advice was sought by only 38......%, and travel insurance was taken out by 86%. However, 29%/74% did not inform the advisor/the insurance company about their HIV status. Nearly all patients on highly active antiretroviral therapy (HAART) were adherent, but 58% worried about carrying HIV-medicine and 19% tried to hide it. Only 19% experienced...

PROMOTIONAL ACTIVITIES FOR THE PURPOSE OF IMPROVING THE OFFER OF TRAVEL AGENCIES IN PRIMORJEGORSKI KOTAR COUNTY–CROATIA

OpenAIRE

Jasna Lasinger Siladjev

2017-01-01

The purpose of this paper is to stress the importance of promotional activities in advancing offers of travel agencies and their overall business profitability. More specifically, the paper examines elements of the promotional mix used by travel agencies when communicating with their customers; it is divided into six parts which delineate the characteristics of travel agencies on the tourism market, the specifics of marketing communication on the tourism market, promotional activities of trav...

Visualizations of Travel Time Performance Based on Vehicle Reidentification Data

Energy Technology Data Exchange (ETDEWEB)

Young, Stanley Ernest [National Renewable Energy Lab, 15013 Denver West Parkway, Golden, CO 80401; Sharifi, Elham [Center for Advanced Transportation Technology, University of Maryland, College Park, Technology Ventures Building, Suite 2200, 5000 College Avenue, College Park, MD 20742; Day, Christopher M. [Joint Transportation Research Program, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47906; Bullock, Darcy M. [Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47906

2017-01-01

This paper provides a visual reference of the breadth of arterial performance phenomena based on travel time measures obtained from reidentification technology that has proliferated in the past 5 years. These graphical performance measures are revealed through overlay charts and statistical distribution as revealed through cumulative frequency diagrams (CFDs). With overlays of vehicle travel times from multiple days, dominant traffic patterns over a 24-h period are reinforced and reveal the traffic behavior induced primarily by the operation of traffic control at signalized intersections. A cumulative distribution function in the statistical literature provides a method for comparing traffic patterns from various time frames or locations in a compact visual format that provides intuitive feedback on arterial performance. The CFD may be accumulated hourly, by peak periods, or by time periods specific to signal timing plans that are in effect. Combined, overlay charts and CFDs provide visual tools with which to assess the quality and consistency of traffic movement for various periods throughout the day efficiently, without sacrificing detail, which is a typical byproduct of numeric-based performance measures. These methods are particularly effective for comparing before-and-after median travel times, as well as changes in interquartile range, to assess travel time reliability.

Validation of a multimodal travel simulator with travel information provision

NARCIS (Netherlands)

Chorus, C.G.; Molin, E.J.E.; Arentze, T.A.; Hoogendoorn, S.P.; Timmermans, H.J.P.; Wee, van G.P.

2007-01-01

This paper presents a computer based travel simulator for collecting data concerning the use of next-generation ATIS and their effects on traveler decision making in a multimodal travel environment. The tool distinguishes itself by presenting a completely abstract multimodal transport network, where

A stated adaptation approach to assess changes in individuals’ activity-travel behavior in presence of personalized travel information

NARCIS (Netherlands)

Parvaneh, Zahra; Arentze, Theo; Timmermans, Harry

2014-01-01

The rapid and inevitable growth of availability of travel information for travellers has increased expectations among policy makers about the benefits of travel information. It is increasingly expected that providing advanced travel information can trigger particular travel behaviors that would

Certification prerequisites for activities related to the trading of demand response resources

International Nuclear Information System (INIS)

Alcázar-Ortega, Manuel; Calpe, Carmen; Theisen, Thomas; Rodríguez-García, Javier

2015-01-01

Certification according to international standards brings many benefits to the society, including technical, economic and environmental aspects. In this context, this paper highlights the benefits of certification of Demand Response, including the additional credibility which provides to the trading of flexibility and higher confidence between different players. The consequence is a dynamic environment which facilitates the market acceptance of Demand Response services and products, providing significant benefits to providers and users of such services. A methodology for the systematic certification of different activities related to the transaction of Demand Response resources has been developed and it is presented here. In particular, three types of certificate have been specified, considering the certification of the entity providing the resource (Demand Response Provider), the contractual framework between the provider and the requester (Demand Response Product) and the physical platform to enable and guarantee such transaction (Demand Response Energy Service Trader). The results of this paper may help regulators and standardization bodies in the design and specification of a future norm to allow the certification of the above-mentioned activities, or a further development of existing regulation for certification of energy efficiency systems (like ISO (International Standard Organization) 50001), where certification of Demand Response activities could be complementary. - Highlights: • Inexistence of a standard on Demand Response limits the application of demand flexibility. • Demand flexibility is essential for the cost-effective integration of renewable generation technologies. • Benefits of certification of activities in the trading of Demand Response are highlighted. • Necessary activities for a standard interchange of Demand Response are identified. • The specifications of a new standard for Demand Response certification are given.

Traveling via Rome through the Stereoscope: Reality, Memory, and Virtual Travel

Directory of Open Access Journals (Sweden)

Douglas M. Klahr

2016-06-01

Full Text Available Underwood and Underwood’s 'Rome through the Stereoscope' of 1902 was a landmark in stereoscopic photography publishing, both as an intense, visually immersive experience and as a cognitively demanding exercise. The set consisted of a guidebook, forty-six stereographs, and five maps whose notations enabled the reader/viewer to precisely replicate the location and orientation of the photographer at each site. Combined with the extensive narrative within the guidebook, the maps and images guided its users through the city via forty-six sites, whether as an example of armchair travel or an actual travel companion. The user’s experience is examined and analyzed within the following parameters: the medium of stereoscopic photography, narrative, geographical imagination, and memory, bringing forth issues of movement, survey and route frames of reference, orientation, visualization, immersion, and primary versus secondary memories. 'Rome through the Stereoscope' was an example of virtual travel, and the process of fusing dual images into one — stereoscopic synthesis — further demarcated the experience as a virtual environment.

Health risks, travel preparation, and illness among public health professionals during international travel.

Science.gov (United States)

Balaban, Victor; Warnock, Eli; Ramana Dhara, V; Jean-Louis, Lee Ann; Sotir, Mark J; Kozarsky, Phyllis

2014-01-01

Few data currently exist on health risks faced by public health professionals (PHP) during international travel. We conducted pre- and post-travel health surveys to assess knowledge, attitudes, and practices (KAP), and illnesses among PHP international travelers. Anonymous surveys were completed by PHP from a large American public health agency who sought a pre-travel medical consult from September 1, 2009, to September 30, 2010. Surveys were completed by 122 participants; travelers went to 163 countries. Of the 122 respondents, 97 (80%) reported at least one planned health risk activity (visiting rural areas, handling animals, contact with blood or body fluids, visiting malarious areas), and 50 (41%) reported exposure to unanticipated health risks. Of the 62 travelers who visited malarious areas, 14 (23%) reported inconsistent or no use of malaria prophylaxis. Illness during travel was reported by 33 (27%) respondents. Most of the PHP travelers in our study reported at least one planned health risk activity, and almost half reported exposure to unanticipated health risks, and one-quarter of travelers to malarious areas reported inconsistent or no use of malaria chemoprophylaxis. Our findings highlight that communication and education outreach for PHP to prevent travel-associated illnesses can be improved. Published by Elsevier Ltd.

Splitting Travel Time Based on AFC Data: Estimating Walking, Waiting, Transfer, and In-Vehicle Travel Times in Metro System

Directory of Open Access Journals (Sweden)

Yong-Sheng Zhang

2015-01-01

Full Text Available The walking, waiting, transfer, and delayed in-vehicle travel times mainly contribute to route’s travel time reliability in the metro system. The automatic fare collection (AFC system provides huge amounts of smart card records which can be used to estimate all these times distributions. A new estimation model based on Bayesian inference formulation is proposed in this paper by integrating the probability measurement of the OD pair with only one effective route, in which all kinds of times follow the truncated normal distributions. Then, Markov Chain Monte Carlo method is designed to estimate all parameters endogenously. Finally, based on AFC data in Guangzhou Metro, the estimations show that all parameters can be estimated endogenously and identifiably. Meanwhile, the truncated property of the travel time is significant and the threshold tested by the surveyed data is reliable. Furthermore, the superiority of the proposed model over the existing model in estimation and forecasting accuracy is also demonstrated.

An Adaptive Clustering Approach Based on Minimum Travel Route Planning for Wireless Sensor Networks with a Mobile Sink.

Science.gov (United States)

Tang, Jiqiang; Yang, Wu; Zhu, Lingyun; Wang, Dong; Feng, Xin

2017-04-26

In recent years, Wireless Sensor Networks with a Mobile Sink (WSN-MS) have been an active research topic due to the widespread use of mobile devices. However, how to get the balance between data delivery latency and energy consumption becomes a key issue of WSN-MS. In this paper, we study the clustering approach by jointly considering the Route planning for mobile sink and Clustering Problem (RCP) for static sensor nodes. We solve the RCP problem by using the minimum travel route clustering approach, which applies the minimum travel route of the mobile sink to guide the clustering process. We formulate the RCP problem as an Integer Non-Linear Programming (INLP) problem to shorten the travel route of the mobile sink under three constraints: the communication hops constraint, the travel route constraint and the loop avoidance constraint. We then propose an Imprecise Induction Algorithm (IIA) based on the property that the solution with a small hop count is more feasible than that with a large hop count. The IIA algorithm includes three processes: initializing travel route planning with a Traveling Salesman Problem (TSP) algorithm, transforming the cluster head to a cluster member and transforming the cluster member to a cluster head. Extensive experimental results show that the IIA algorithm could automatically adjust cluster heads according to the maximum hops parameter and plan a shorter travel route for the mobile sink. Compared with the Shortest Path Tree-based Data-Gathering Algorithm (SPT-DGA), the IIA algorithm has the characteristics of shorter route length, smaller cluster head count and faster convergence rate.

Japanese encephalitis in a French traveler to Nepal.

Science.gov (United States)

Lagarde, S; Lagier, J-C; Charrel, R; Quérat, G; Vanhomwegen, J; Desprès, P; Pelletier, J; Kaphan, E

2014-02-01

Japanese encephalitis is frequent in Asia, with a severe prognosis, but rare in travelers. Culex mosquitoes transmit Japanese encephalitis virus. Risk factors are destination, duration of stay, summer and fall seasons, outdoor activities, and type of accommodation. We report the case of a French traveler to Nepal with neutralization-based serological confirmed Japanese encephalitis. He presented classical clinical (viral syndrome before an encephalitis status with behavioral disorder, global hypotonia, mutism, movement disorders, seizure, and coma), radiological (lesions of thalami, cortico-spinal tracts, and brainstem) and biological features (lymphocytic meningitis). Nowadays, the presence of Japanese encephalitis virus in Nepal, including mountain areas, is established but Japanese encephalitis remains rare in travelers returning from this area and neurologist physicians need to become familiar with this. We recommend vaccination for travelers spending a long period of time in Nepal and having at-risk outdoor activities.

Modeling a Spatio-Temporal Individual Travel Behavior Using Geotagged Social Network Data: a Case Study of Greater Cincinnati

Science.gov (United States)

Saeedimoghaddam, M.; Kim, C.

2017-10-01

Understanding individual travel behavior is vital in travel demand management as well as in urban and transportation planning. New data sources including mobile phone data and location-based social media (LBSM) data allow us to understand mobility behavior on an unprecedented level of details. Recent studies of trip purpose prediction tend to use machine learning (ML) methods, since they generally produce high levels of predictive accuracy. Few studies used LSBM as a large data source to extend its potential in predicting individual travel destination using ML techniques. In the presented research, we created a spatio-temporal probabilistic model based on an ensemble ML framework named "Random Forests" utilizing the travel extracted from geotagged Tweets in 419 census tracts of Greater Cincinnati area for predicting the tract ID of an individual's travel destination at any time using the information of its origin. We evaluated the model accuracy using the travels extracted from the Tweets themselves as well as the travels from household travel survey. The Tweets and survey based travels that start from same tract in the south western parts of the study area is more likely to select same destination compare to the other parts. Also, both Tweets and survey based travels were affected by the attraction points in the downtown of Cincinnati and the tracts in the north eastern part of the area. Finally, both evaluations show that the model predictions are acceptable, but it cannot predict destination using inputs from other data sources as precise as the Tweets based data.

Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study

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Hodges Steve

2011-05-01

Full Text Available Abstract Background Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research. Methods Participants (n = 20 were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience. Results There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94. Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p Conclusions Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration.

Online travel time estimation in urban areas using the occupancy of long loop detectors

NARCIS (Netherlands)

Mak, W.K.; Viti, F.; Hoogendoorn, S.P.; Hegyi, A.

2010-01-01

Roads in the Netherlands are often heavily congested. Real-time travel time information can be a valuable instrument to reduce the impact of increasing traffic demand on travel time with advantages for traffic participants as well as for the traffic network managers. For urban roads travel time

Effects of travel time delay on multi-faceted activity scheduling under space-time constraints : a simulation study

NARCIS (Netherlands)

Rasouli, S.; Timmermans, H.J.P.

2014-01-01

This paper presents the results of a study, which simulates the effects of travel time delay on adaptations of planned activity-travel schedules. The activity generation and scheduling engine of the Albatross model system is applied to a fraction of the synthetic population of the Rotterdam region,

Behavioural decisions of travel-time ratios for work, maintenance and leisure activities in the Netherlands.

NARCIS (Netherlands)

Susilo, Y.S.; Dijst, M.J.

2010-01-01

Using the 2005 Dutch National Travel Survey data-set this paper investigates the influences of socio-demographics, journey patterns and built environment factors on the ratio of travel time and activity duration that an individual spends when engaging in work, daily shopping, non-daily shopping

Associations between active travel to work and overweight, hypertension, and diabetes in India: a cross-sectional study.

Science.gov (United States)

Millett, Christopher; Agrawal, Sutapa; Sullivan, Ruth; Vaz, Mario; Kurpad, Anura; Bharathi, A V; Prabhakaran, Dorairaj; Reddy, Kolli Srinath; Kinra, Sanjay; Smith, George Davey; Ebrahim, Shah

2013-01-01

Increasing active travel (walking, bicycling, and public transport) is promoted as a key strategy to increase physical activity and reduce the growing burden of noncommunicable diseases (NCDs) globally. Little is known about patterns of active travel or associated cardiovascular health benefits in low- and middle-income countries. This study examines mode and duration of travel to work in rural and urban India and associations between active travel and overweight, hypertension, and diabetes. Cross-sectional study of 3,902 participants (1,366 rural, 2,536 urban) in the Indian Migration Study. Associations between mode and duration of active travel and cardiovascular risk factors were assessed using random-effect logistic regression models adjusting for age, sex, caste, standard of living, occupation, factory location, leisure time physical activity, daily fat intake, smoking status, and alcohol use. Rural dwellers were significantly more likely to bicycle (68.3% versus 15.9%; ptravelled to work by private transport, public transport, bicycling, and walking, respectively. In the adjusted analysis, those walking (adjusted risk ratio [ARR] 0.72; 95% CI 0.58-0.88) or bicycling to work (ARR 0.66; 95% CI 0.55-0.77) were significantly less likely to be overweight or obese than those travelling by private transport. Those bicycling to work were significantly less likely to have hypertension (ARR 0.51; 95% CI 0.36-0.71) or diabetes (ARR 0.65; 95% CI 0.44-0.95). There was evidence of a dose-response relationship between duration of bicycling to work and being overweight, having hypertension or diabetes. The main limitation of the study is the cross-sectional design, which limits causal inference for the associations found. Walking and bicycling to work was associated with reduced cardiovascular risk in the Indian population. Efforts to increase active travel in urban areas and halt declines in rural areas should be integral to strategies to maintain healthy weight and prevent

Estimating time and travel costs incurred in clinic based screening: flexible sigmoidoscopy screening for colorectal cancer.

Science.gov (United States)

Frew, E; Wolstenholme, J L; Atkin, W; Whynes, D K

1999-01-01

To identify the characteristics of mode of travel to screening clinics; to estimate the time and travel costs incurred in attending; to investigate whether such costs are likely to bias screening compliance. Twelve centres in the trial of flexible sigmoidoscopy screening for colorectal cancer, drawn from across Great Britain. Analysis of 3525 questionnaires completed by screening subjects while attending clinics. Information supplied included sociodemographic characteristics, modes of travel, expenses, activities foregone owing to attendance, and details of companions. More than 80% of subjects arrived at the clinics by car, and about two thirds were accompanied. On average, the clinic visit involved a 14.4 mile (22.8 km) round trip, requiring 130 minutes. Mean travel costs amounted to 6.10 Pounds per subject. The mean gross direct non-medical and indirect cost per subject amounted to 16.90 Pounds, and the mean overall gross cost per attendance was 22.40 Pounds. Compared with the Great Britain population as a whole, non-manual classes were more strongly represented, and the self employed less strongly represented, among the attendees. In relation to direct medical costs, the time and travel costs of clinic based screening can be substantial, may influence the overall cost effectiveness of a screening programme, and may deter potential subjects from attending.

Circuity Characteristics of Urban Travel Based on GPS Data: A Case Study of Guangzhou

Directory of Open Access Journals (Sweden)

Xiaoshu Cao

2017-11-01

Full Text Available A longer, wider and more complicated change in the travel path is put forward to adapt to the rapidly increasing expansion of metropolises in the field of urban travel. Urban travel requires higher levels of sustainable urban transport. Therefore,this paper explores the circuity characteristics of urban travel and investigates the temporal relationship between time and travel circuity and the spatial relationship between distance and travel circuity to understand the efficiency of urban travel. Based on Guangzhou Taxi-GPS big data, travel circuity is considered in this paper to analyze the circuity spatial distribution and strength characteristics of urban travel in three types of metropolitan regions, including core areas, transition areas and fringe areas. Depending on the different attributes of the three types, the consistency and dissimilar characteristics of travel circuity and influencing factors of travel circuity in metropolises are discussed. The results are shown as follows: (1 by observing the temporal andspatial distribution of travel circuity, it can be found that peaks and troughs change with time, and travel circuity of transition areas is higher than other areas during the peak period. When travelling in these three regions, travel circuity spatial distribution is consistent, which is the core-periphery distribution. When travelling among these three regions, travel circuity spatial distribution is distinct; (2 by analyzing the relationship between time and distance of travel and travel circuity, it can be seen that the shorter the travel time or travel distance, the greater the travel circuity, resulting in a lower travel efficiency; (3 the influence of six factors, including population, road and public transportation, on travel circuity is significant. Whether it is the origin point or destination point, when its location is closer to the city center and the station density of grid is lower, the travel circuity is higher.

Multiple-Factor Based Sparse Urban Travel Time Prediction

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Xinyan Zhu

2018-02-01

Full Text Available The prediction of travel time is challenging given the sparseness of real-time traffic data and the uncertainty of travel, because it is influenced by multiple factors on the congested urban road networks. In our paper, we propose a three-layer neural network from big probe vehicles data incorporating multi-factors to estimate travel time. The procedure includes the following three steps. First, we aggregate data according to the travel time of a single taxi traveling a target link on working days as traffic flows display similar traffic patterns over a weekly cycle. We then extract feature relationships between target and adjacent links at 30 min interval. About 224,830,178 records are extracted from probe vehicles. Second, we design a three-layer artificial neural network model. The number of neurons in input layer is eight, and the number of neurons in output layer is one. Finally, the trained neural network model is used for link travel time prediction. Different factors are included to examine their influence on the link travel time. Our model is verified using historical data from probe vehicles collected from May to July 2014 in Wuhan, China. The results show that we could obtain the link travel time prediction results using the designed artificial neural network model and detect the influence of different factors on link travel time.

Long-range airplane study: The consumer looks at SST travel

Science.gov (United States)

Landes, K. H.; Matter, J. A.

1980-01-01

The attitudes of long-range air travelers toward several basic air travel decisions, were surveyed. Of interest were tradeoffs involving time versus comfort and time versus cost as they pertain to supersonic versus conventional wide-body aircraft on overseas routes. The market focused upon was the segment of air travelers most likely to make that type of tradeoff decision: those having flown overseas routes for business or personal reasons in the recent past. The information generated is intended to provide quantifiable insight into consumer demand for supersonic as compared to wide-body aircraft alternatives for long-range overseas air travel.

The effect of a new intercity expressway based on travel time reliability using electronic toll collection data

OpenAIRE

Yamazaki, H.; Uno, N.; Kurauchi, F.

2012-01-01

This study describes a method of evaluating the level of service of road networks, based on the average travel time and travel time reliability using electronic toll collection (ETC) data. The authors focused on the variance in travel time under normal circumstances, thus, traffic accidents were removed from the database, and any effect of individual vehicle preference was excluded. They evaluated the travel time distribution based on the average travel time from ETC data for each 15-min inte...

Trip Travel Time Forecasting Based on Selective Forgetting Extreme Learning Machine

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Zhiming Gui

2014-01-01

Full Text Available Travel time estimation on road networks is a valuable traffic metric. In this paper, we propose a machine learning based method for trip travel time estimation in road networks. The method uses the historical trip information extracted from taxis trace data as the training data. An optimized online sequential extreme machine, selective forgetting extreme learning machine, is adopted to make the prediction. Its selective forgetting learning ability enables the prediction algorithm to adapt to trip conditions changes well. Experimental results using real-life taxis trace data show that the forecasting model provides an effective and practical way for the travel time forecasting.

Pre-travel advice: an overview.

Science.gov (United States)

Sanford, Christopher

2002-12-01

The message of the pre-travel provider is necessarily paradoxic. First the provider lists a score of causes of illness and premature demise, and then states, "But it sounds like a great trip and I think you'll have fun." Pre-travel providers need to walk a fine line: they must encourage patients to be cautious but not paranoid, optimistic but realistic. This discussion is complicated further by the fact that risk reduction is not the only consideration; if it were, practitioners would advise patients to remain in the developed world and foray from their homes only to visit health clubs and the fruit-and-vegetable section of grocery stores. A tacit assumption in travel medicine is that some degree of acceptance of heightened risk is tolerated for the benefit of improved quality of life offered by travel abroad. The amount of risk that is reasonable to accept for a given benefit in quality of life yielded by travel cannot be quantified, however. Providers must render judgments on what is "reasonable" and what is not, and this complex decision is based on equal parts medical knowledge and intuition. At one extreme, mountaineers in Nepal have been found to have a 2.4% mortality rate per expedition [83,84]. The travel provider might make the reasonable decision to counsel these travelers to avoid that activity. These travelers most likely will ignore that advice, at which point the provider must endeavor to reduce risk to the extent possible. Other situations in which the provider should advise a change in itinerary or activities include counseling parents who plan to take an infant to high altitude or a pregnant woman who plans to scuba dive. If travelers remain cloistered in their hotel rooms, eating all meals from room service and watching CNN, then it could be suggested that they are overly risk-adverse and might consider foraying out of the hotel, despite the potential associated increased risks to health. Conversely, if travelers find themselves on motorcycles

Projected Demand and Potential Impacts to the National Airspace System of Autonomous, Electric, On-Demand Small Aircraft

Science.gov (United States)

Smith, Jeremy C.; Viken, Jeffrey K.; Guerreiro, Nelson M.; Dollyhigh, Samuel M.; Fenbert, James W.; Hartman, Christopher L.; Kwa, Teck-Seng; Moore, Mark D.

2012-01-01

Electric propulsion and autonomy are technology frontiers that offer tremendous potential to achieve low operating costs for small-aircraft. Such technologies enable simple and safe to operate vehicles that could dramatically improve regional transportation accessibility and speed through point-to-point operations. This analysis develops an understanding of the potential traffic volume and National Airspace System (NAS) capacity for small on-demand aircraft operations. Future demand projections use the Transportation Systems Analysis Model (TSAM), a tool suite developed by NASA and the Transportation Laboratory of Virginia Polytechnic Institute. Demand projections from TSAM contain the mode of travel, number of trips and geographic distribution of trips. For this study, the mode of travel can be commercial aircraft, automobile and on-demand aircraft. NASA's Airspace Concept Evaluation System (ACES) is used to assess NAS impact. This simulation takes a schedule that includes all flights: commercial passenger and cargo; conventional General Aviation and on-demand small aircraft, and operates them in the simulated NAS. The results of this analysis projects very large trip numbers for an on-demand air transportation system competitive with automobiles in cost per passenger mile. The significance is this type of air transportation can enhance mobility for communities that currently lack access to commercial air transportation. Another significant finding is that the large numbers of operations can have an impact on the current NAS infrastructure used by commercial airlines and cargo operators, even if on-demand traffic does not use the 28 airports in the Continental U.S. designated as large hubs by the FAA. Some smaller airports will experience greater demand than their current capacity allows and will require upgrading. In addition, in future years as demand grows and vehicle performance improves other non-conventional facilities such as short runways incorporated into

DataBase on Demand

International Nuclear Information System (INIS)

Aparicio, R Gaspar; Gomez, D; Wojcik, D; Coz, I Coterillo

2012-01-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

Estimating relative demand for wildlife: Conservation activity indicators

Science.gov (United States)

Gray, Gary G.; Larson, Joseph S.

1982-09-01

An alternative method of estimating relative demand among nonconsumptive uses of wildlife and among wildlife species is proposed. A demand intensity score (DIS), derived from the relative extent of an individual's involvement in outdoor recreation and conservation activities, is used as a weighting device to adjust the importance of preference rankings for wildlife uses and wildlife species relative to other members of a survey population. These adjusted preference rankings were considered to reflect relative demand levels (RDLs) for wildlife uses and for species by the survey population. This technique may be useful where it is not possible or desirable to estimate demand using traditional economic means. In one of the findings from a survey of municipal conservation commission members in Massachusetts, presented as an illustration of this methodology, poisonous snakes were ranked third in preference among five groups of reptiles. The relative demand level for poisonous snakes, however, was last among the five groups.

Smart Demand Response Based on Smart Homes

Directory of Open Access Journals (Sweden)

Jingang Lai

2015-01-01

Full Text Available Smart homes (SHs are crucial parts for demand response management (DRM of smart grid (SG. The aim of SHs based demand response (DR is to provide a flexible two-way energy feedback whilst (or shortly after the consumption occurs. It can potentially persuade end-users to achieve energy saving and cooperate with the electricity producer or supplier to maintain balance between the electricity supply and demand through the method of peak shaving and valley filling. However, existing solutions are challenged by the lack of consideration between the wide application of fiber power cable to the home (FPCTTH and related users’ behaviors. Based on the new network infrastructure, the design and development of smart DR systems based on SHs are related with not only functionalities as security, convenience, and comfort, but also energy savings. A new multirouting protocol based on Kruskal’s algorithm is designed for the reliability and safety of the SHs distribution network. The benefits of FPCTTH-based SHs are summarized at the end of the paper.

Analysis on Residents’ Travel Activity Pattern in Historic Urban Areas: A Case Study of Historic Urban Area of Yangzhou, China

Directory of Open Access Journals (Sweden)

Mao Ye

2013-01-01

Full Text Available Travel behaviors and activity patterns in the historic urban area of a city are expected to be different from the overall situations in the city area. The primary objective of this study is to analyze the residents’ travel activity patterns in historic urban area. Based on survey data conducted in the historic urban area of Yangzhou, the travel activities of local residents in a whole day were classified into five types of patterns. The multinomial logit (MNL model was developed to evaluate the impacts of explanatory variables on the choices of activity patterns. The results showed that the choice of activity pattern was significantly impacted by five contributing factors including the gender, age, occupation, car ownership, and number of electric bikes in household. The other variables, which were the family population, preschoolers, number of conventional bikes in household, motorcycle ownership, and income, were found to be not significantly related to the choice of activities. The results of this study from historic urban area were compared to findings of previous studies from overall urban area. The comparison showed that the impacts of factors on activity pattern in the historic urban area were different from those in the overall area. Findings of this study provide important suggestions for the policy makings to improve the traffic situations in historic urban areas of cities.

Cognitive and Physical Demands of Activities of Daily Living in Older Adults: Validation of Expert Panel Ratings.

Science.gov (United States)

Fong, Tamara G; Gleason, Lauren J; Wong, Bonnie; Habtemariam, Daniel; Jones, Richard N; Schmitt, Eva M; de Rooij, Sophia E; Saczynski, Jane S; Gross, Alden L; Bean, Jonathan F; Brown, Cynthia J; Fick, Donna M; Gruber-Baldini, Ann L; O'Connor, Margaret; Tabloski, Patrica A; Marcantonio, Edward R; Inouye, Sharon K

2015-07-01

Difficulties with performance of functional activities may result from cognitive and/or physical impairments. To date, there has not been a clear delineation of the physical and cognitive demands of activities of daily living. To quantify the relative physical and cognitive demands required to complete typical functional activities in older adults. Expert panel survey. Web-based platform. Eleven experts from 8 academic medical centers and 300 community-dwelling elderly adults age 70 and older scheduled for elective noncardiac surgery from 2 academic medical centers. Sum scores of expert ratings were calculated and then validated against objective data collected from a prospective longitudinal study. Correlation between expert ratings and objective neuropsychologic tests (memory, language, complex attention) and physical measures (gait speed and grip strength) for performance-based tasks. Managing money, self-administering medications, using the telephone, and preparing meals were rated as requiring significantly more cognitive demand, whereas walking and transferring, moderately strenuous activities, and climbing stairs were assessed as more physically demanding. Largely cognitive activities correlated with objective neuropsychologic performance (r = 0.13-0.23, P cognitive and/or physical demand for completing a specific task adds an additional dimension to standard measures of functional assessment. This additional information may significantly influence decisions about rehabilitation, postacute care needs, treatment plans, and caregiver education. Copyright © 2015 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains

Energy Technology Data Exchange (ETDEWEB)

Recker, W.W.; McNally, M.G. [University of California, Irvine (United States). Institute of Transportation Studies, Department of Civil and Environmental Engineering; Chen, C. [Ming-Chuan University, Taiwan (China). Department of Tourism Industry

2001-07-01

Using the conceptual framework of time-space geography, this paper incorporates both spatio-temporal constraints and household interaction effects into a meaningful measure of the potential of a household to interact with the built environment. Within this context, personal accessibility is described as a measure of the potential ability of individuals within a household not only to reach activity opportunities, but to do so with sufficient time available for participation in those activities, subject to the spatio-temporal constraints imposed by their daily obligations and transportation supply environment. The incorporation of activity-based concepts in the measurement of accessibility as a product of travel time savings not only explicitly acknowledges a temporal dimension in assessing the potential for spatial interaction but also expands the applicability of accessibility consideration to such real-world policy options as the promotion of ride-sharing and trip chaining behaviors. An empirical application of the model system provides an indication of the potential of activity-based modeling approaches to assess the bounds on achievable improvements in accessibility and travel time based on daily household activity patterns. It also provides an assessment of roles for trip chaining and ride-sharing as potentially effective methods to facilitate transportation policy objectives. (author)

Automated time activity classification based on global positioning system (GPS) tracking data.

Science.gov (United States)

Wu, Jun; Jiang, Chengsheng; Houston, Douglas; Baker, Dean; Delfino, Ralph

2011-11-14

Air pollution epidemiological studies are increasingly using global positioning system (GPS) to collect time-location data because they offer continuous tracking, high temporal resolution, and minimum reporting burden for participants. However, substantial uncertainties in the processing and classifying of raw GPS data create challenges for reliably characterizing time activity patterns. We developed and evaluated models to classify people's major time activity patterns from continuous GPS tracking data. We developed and evaluated two automated models to classify major time activity patterns (i.e., indoor, outdoor static, outdoor walking, and in-vehicle travel) based on GPS time activity data collected under free living conditions for 47 participants (N = 131 person-days) from the Harbor Communities Time Location Study (HCTLS) in 2008 and supplemental GPS data collected from three UC-Irvine research staff (N = 21 person-days) in 2010. Time activity patterns used for model development were manually classified by research staff using information from participant GPS recordings, activity logs, and follow-up interviews. We evaluated two models: (a) a rule-based model that developed user-defined rules based on time, speed, and spatial location, and (b) a random forest decision tree model. Indoor, outdoor static, outdoor walking and in-vehicle travel activities accounted for 82.7%, 6.1%, 3.2% and 7.2% of manually-classified time activities in the HCTLS dataset, respectively. The rule-based model classified indoor and in-vehicle travel periods reasonably well (Indoor: sensitivity > 91%, specificity > 80%, and precision > 96%; in-vehicle travel: sensitivity > 71%, specificity > 99%, and precision > 88%), but the performance was moderate for outdoor static and outdoor walking predictions. No striking differences in performance were observed between the rule-based and the random forest models. The random forest model was fast and easy to execute, but was likely less robust

Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data

Directory of Open Access Journals (Sweden)

Jiwei Li

2016-11-01

Full Text Available Spring Festival travel rush is a phenomenon in China that population travel intensively surges in a short time around Chinese Spring Festival. This phenomenon, which is a special one in the urbanization process of China, brings a large traffic burden and various kinds of social problems, thereby causing widespread public concern. This study investigates the spatial-temporal characteristics of Spring Festival travel rush in 2015 through time series analysis and complex network analysis based on multisource big travel data derived from Baidu, Tencent, and Qihoo. The main results are as follows: First, big travel data of Baidu and Tencent obtained from location-based services might be more accurate and scientific than that of Qihoo. Second, two travel peaks appeared at five days before and six days after the Spring Festival, respectively, and the travel valley appeared on the Spring Festival. The Spring Festival travel network at the provincial scale did not have small-world and scale-free characteristics. Instead, the travel network showed a multicenter characteristic and a significant geographic clustering characteristic. Moreover, some travel path chains played a leading role in the network. Third, economic and social factors had more influence on the travel network than geographical location factors. The problem of Spring Festival travel rush will not be effectively improved in a short time because of the unbalanced urban-rural development and the unbalanced regional development. However, the development of the modern high-speed transport system and the modern information and communication technology can alleviate problems brought by Spring Festival travel rush. We suggest that a unified real-time traffic platform for Spring Festival travel rush should be established through the government's integration of mobile big data and the official authority data of the transportation department.

Associations between active travel to work and overweight, hypertension, and diabetes in India: a cross-sectional study.

Directory of Open Access Journals (Sweden)

Christopher Millett

Full Text Available Increasing active travel (walking, bicycling, and public transport is promoted as a key strategy to increase physical activity and reduce the growing burden of noncommunicable diseases (NCDs globally. Little is known about patterns of active travel or associated cardiovascular health benefits in low- and middle-income countries. This study examines mode and duration of travel to work in rural and urban India and associations between active travel and overweight, hypertension, and diabetes.Cross-sectional study of 3,902 participants (1,366 rural, 2,536 urban in the Indian Migration Study. Associations between mode and duration of active travel and cardiovascular risk factors were assessed using random-effect logistic regression models adjusting for age, sex, caste, standard of living, occupation, factory location, leisure time physical activity, daily fat intake, smoking status, and alcohol use. Rural dwellers were significantly more likely to bicycle (68.3% versus 15.9%; p<0.001 to work than urban dwellers. The prevalence of overweight or obesity was 50.0%, 37.6%, 24.2%, 24.9%; hypertension was 17.7%, 11.8%, 6.5%, 9.8%; and diabetes was 10.8%, 7.4%, 3.8%, 7.3% in participants who travelled to work by private transport, public transport, bicycling, and walking, respectively. In the adjusted analysis, those walking (adjusted risk ratio [ARR] 0.72; 95% CI 0.58-0.88 or bicycling to work (ARR 0.66; 95% CI 0.55-0.77 were significantly less likely to be overweight or obese than those travelling by private transport. Those bicycling to work were significantly less likely to have hypertension (ARR 0.51; 95% CI 0.36-0.71 or diabetes (ARR 0.65; 95% CI 0.44-0.95. There was evidence of a dose-response relationship between duration of bicycling to work and being overweight, having hypertension or diabetes. The main limitation of the study is the cross-sectional design, which limits causal inference for the associations found.Walking and bicycling to work was

Effects of residential move on interaction frequency with social network

NARCIS (Netherlands)

Sharmeen, F.; Timmermans, H.J.P.; Sze, N.N.; Szeto, W.Y.; Wong, S.C.

2011-01-01

Size and composition of social networks have recently been identified in the transportation literature as important triggers of travel demand in general and travel generation in particular. With the field of activity-based modeling of travel demand moving from static to dynamic models, this implies

[Pre-travel advice and patient education of Hungarian travellers].

Science.gov (United States)

Lengyel, Ingrid; Felkai, Péter

2018-03-01

According to international surveys, over half of the travellers face some kind of health issue when travelling. The overwhelming majority of travel-related illnesses can be prevented with pre-travel medical consultations, but the syllabus and content of the consultation have to match the travel habits and culture of the given society. This publication explores the specificities and travel habits of Hungarian travellers. One hundred participants of a travel exhibition completed a survey about their international travel. As the survey was not representative, the data could only be processed through simple statistical methods. However, since the exhibition was presumably attended by those wishing to travel, the conclusions drawn from the results are worth publishing, since no similar survey in Hungary has been published before. Based on the suitable classification of age groups in travel medicine, 11% of the participants were adolescents / young adults (aged 15-24), 81% adults (25-59) and 8% elderly (60-74). Twenty-eight percent of the participants travel multiple times a year, 40% yearly and 32% of them less frequently; 16% of the adults, 8% of the adolescents and 4% of the elderly age group travel multiple times a year. The travel destinations of Hungarian travellers have remained practically unchanged since a study was conducted 13 years ago: the vast majority (95%) travelled within Europe, 2% to the United States, and 11% of them elsewhere. Since Hungarians do not travel to endemic areas, only 5% consulted their general practitioners (GPs) prior to travelling, and 29% did when they had to be vaccinated. Forty-two percent of those wishing to travel never consult their GPs, even though 29% of them are aware of some chronic illness. Instead, 51% gather their health information from the internet and only 6% from their doctors. By the contradiction between the poor health status of the majority of Hungarian travellers and the negligence of seeking pre-travel advice

Development and Implementation of the Ebola Traveler Monitoring Program and Clinical Outcomes of Monitored Travelers during October - May 2015, Minnesota.

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Aaron DeVries

Full Text Available In October 2014, the United States began actively monitoring all persons who had traveled from Guinea, Liberia, and Sierra Leone in the previous 21 days. State public health departments were responsible for monitoring all travelers; Minnesota has the largest Liberian population in the United States. The MDH Ebola Clinical Team (ECT was established to assess travelers with symptoms of concern for Ebola virus disease (EVD, coordinate access to healthcare at appropriate facilities including Ebola Assessment and Treatment Units (EATU, and provide guidance to clinicians.Minnesota Department of Health (MDH began receiving traveler information collected by U.S. Customs and Border Control and Centers for Disease Control and Prevention staff on October 21, 2014 via encrypted electronic communication. All travelers returning from Liberia, Sierra Leone, and Guinea during 10/21/14-5/15/15 were monitored by MDH staff in the manner recommended by CDC based on the traveler's risk categorization as "low (but not zero", "some" and "high" risk. When a traveler reported symptoms or a temperature ≥100.4° F at any time during their 21-day monitoring period, an ECT member would speak to the traveler and perform a clinical assessment by telephone or via video-chat. Based on the assessment the ECT member would recommend 1 continued clinical monitoring while at home with frequent telephone follow-up by the ECT member, 2 outpatient clinical evaluation at an outpatient site agreed upon by all parties, or 3 inpatient clinical evaluation at one of four Minnesota EATUs. ECT members assessed and approved testing for Ebola virus infection at MDH. Traveler data, calls to the ECT and clinical outcomes were logged on a secure server at MDH.During 10/21/14-5/15/15, a total of 783 travelers were monitored; 729 (93% traveled from Liberia, 30 (4% Sierra Leone, and 24 (3% Guinea. The median number monitored per week was 59 (range 45-143. The median age was 35 years; 136 (17% were

Development and Implementation of the Ebola Traveler Monitoring Program and Clinical Outcomes of Monitored Travelers during October - May 2015, Minnesota.

Science.gov (United States)

DeVries, Aaron; Talley, Pamela; Sweet, Kristin; Kline, Susan; Stinchfield, Patricia; Tosh, Pritish; Danila, Richard

2016-01-01

In October 2014, the United States began actively monitoring all persons who had traveled from Guinea, Liberia, and Sierra Leone in the previous 21 days. State public health departments were responsible for monitoring all travelers; Minnesota has the largest Liberian population in the United States. The MDH Ebola Clinical Team (ECT) was established to assess travelers with symptoms of concern for Ebola virus disease (EVD), coordinate access to healthcare at appropriate facilities including Ebola Assessment and Treatment Units (EATU), and provide guidance to clinicians. Minnesota Department of Health (MDH) began receiving traveler information collected by U.S. Customs and Border Control and Centers for Disease Control and Prevention staff on October 21, 2014 via encrypted electronic communication. All travelers returning from Liberia, Sierra Leone, and Guinea during 10/21/14-5/15/15 were monitored by MDH staff in the manner recommended by CDC based on the traveler's risk categorization as "low (but not zero)", "some" and "high" risk. When a traveler reported symptoms or a temperature ≥100.4° F at any time during their 21-day monitoring period, an ECT member would speak to the traveler and perform a clinical assessment by telephone or via video-chat. Based on the assessment the ECT member would recommend 1) continued clinical monitoring while at home with frequent telephone follow-up by the ECT member, 2) outpatient clinical evaluation at an outpatient site agreed upon by all parties, or 3) inpatient clinical evaluation at one of four Minnesota EATUs. ECT members assessed and approved testing for Ebola virus infection at MDH. Traveler data, calls to the ECT and clinical outcomes were logged on a secure server at MDH. During 10/21/14-5/15/15, a total of 783 travelers were monitored; 729 (93%) traveled from Liberia, 30 (4%) Sierra Leone, and 24 (3%) Guinea. The median number monitored per week was 59 (range 45-143). The median age was 35 years; 136 (17%) were aged

Human travel and traveling bedbugs.

Science.gov (United States)

Delaunay, Pascal

2012-12-01

A dramatic increase of reported bedbug (Cimex lectularius and Cimex hemipterus) infestations has been observed worldwide over the past decade. Bedbug infestations have also been detected across a wide range of travel accommodations, regardless of their comfort and hygiene levels. Travelers are increasingly exposed to the risks of bedbug bites, infestation of personal belongings, and subsequent contamination of newly visited accommodations and their homes. We searched Medline publications via the PubMed database. National bedbug recommendations, textbooks, newspapers, and Centers for Disease Control websites were also searched manually. To detect infested sites, avoid or limit bedbug bites, and reduce the risk of contaminating one's belongings and home, bedbug biology and ecology must be understood. A detailed search of their most classic hiding niches is a key to finding adult bedbugs, nymphs, eggs, and feces or traces of blood from crushed bedbugs. Locally, bedbugs move by active displacement to feed (bite) during the night. Bed, mattress, sofa, and/or curtains are the most frequently infested places. If you find bedbugs, change your room or, even better, the hotel. Otherwise, travelers should follow recommendations for avoiding bedbugs and their bites during the night and apply certain simple rules to avoid infesting other sites or their home. Travelers exposed to bedbugs can minimize the risks of bites and infestation of their belongings, and must also do their civic duty to avoid contributing to the subsequent contamination of other hotels and, finally, home. © 2012 International Society of Travel Medicine.

Simulating endogenous dynamics of activity-travel behavior : results of numerical simulations

NARCIS (Netherlands)

Psarra, I.; Liao, F.; Arentze, T.A.; Timmermans, H.J.P.

2013-01-01

Modelling the dynamics of activity-travel behavior constitutes the next challenge on the international research agenda. Long-term dynamics relate to changes in opportunities or constraints, such as residential and job choice, while short-term decisions relate to day-to-day experiences. Due to a

GIS Based Application of Advanced Traveler Information System in India

Science.gov (United States)

Kumar, P.; Singh, V.

2012-02-01

Developed countries like USA, Canada, Japan, UK, Australia and Germany have adopted advanced traveler information technologies expeditiously in comparison to developing countries. But, unlike developed countries, developing countries face considerable financial and framework constraints. Moreover local traffic, roadway, signalization, demographic, topological and social conditions in developing countries are quite different from those in developed countries. In this paper, a comprehensive framework comprising of system architecture, development methodology and salient features of a developed Advanced Traveler Information System (ATIS) for metropolitan cities in developing countries has been discussed. Development of proposed system is based on integration of two well known information technologies viz. Geographic Information Systems (GIS) and World Wide Web (WWW). Combination of these technologies can be utilized to develop an integrated ATIS that targets different types of travelers like private vehicle owners, transit users and casual outside visitors.

Essential travel medicine

CERN Document Server

Zuckerman, Jane N; Leggat, Peter

2015-01-01

This 1st edition of Essential Travel Medicine provides an excellent concise introduction to the specialty of Travel Medicine. This core text will enable health care practitioners particularly those new to the clinical practice of Travel Medicine, to gain a fundamental understanding of the diverse and complex issues which can potentially affect the health of the many millions of people who undertake international travel. Jane N Zuckerman is joined by Gary W Brunette from CDC and Peter A Leggat from Australia as Editors. Leading international specialists in their fields have contributed authoritative chapters reflecting current knowledge to facilitate best clinical practice in the different aspects of travel medicine. The aim of Essential Travel Medicine is to provide a comprehensive guide to Travel Medicine as well as a fundamental knowledge base to support international undergraduate and postgraduate specialty training programmes in the discipline of Travel Medicine. The 1st edition of Essential Travel ...

Study of Intercity Travel Characteristics in Chinese Urban Agglomeration

OpenAIRE

Zhuoran, Li; Yan, Wang; Shichen, Zhao

2015-01-01

Due to rapid urban development in china, traffic problems are fast becoming considerably serious. In this study, we focus on intercity travel characteristics’ research. By investigating the travel characteristics of passengers and the intercity traffic demand forecast, we aim to discriminate the geographical spatial characteristics of departure places and to establish coupling law of city public transportation hubs and urban space which directly connect with the intercity rail station. In fut...

A Nondominated Genetic Algorithm Procedure for Multiobjective Discrete Network Design under Demand Uncertainty

OpenAIRE

Changzhi, Bian

2015-01-01

This paper addresses the multiobjective discrete network design problem under demand uncertainty. The OD travel demands are supposed to be random variables with the given probability distribution. The problem is formulated as a bilevel stochastic optimization model where the decision maker’s objective is to minimize the construction cost, the expectation, and the standard deviation of total travel time simultaneously and the user’s route choice is described using user equilibrium model on the...

Risk activities and pre-travel health seeking practices of notified cases of imported infectious diseases in Australia.

Science.gov (United States)

Paudel, Prakash; Raina, C; Zwar, Nicholas; Seale, Holly; Worth, Heather; Sheikh, Mohamud; Heywood, Anita E

2017-09-01

Travellers are at risk of acquiring infectious diseases during travel, with risks differing by destination, travel and traveller characteristics. A pre-travel health consultation may minimize this risk. However, uptake of pre-travel health advice remains low. We investigated pre-travel health preparations and disease-specific risk behaviours among notified cases of selected travel-associated infectious diseases imported into Australia. Prospective enhanced surveillance of notified cases of typhoid, paratyphoid, measles, hepatitis A, hepatitis E, malaria and chikungunya was conducted in two Australian states between February 2013 and January 2014. Details of pre-travel health preparation and disease-specific risk behaviours were collected. Among 180 cases associated with international travel, 28% were travellers and 22% were frequent travellers, having travelled ≥5 times in the past 5 years. 25% had sought pre-travel advice from a healthcare provider, and 16% reported a pre-travel vaccine. Seeking pre-travel health advice did not differ by immigrant status ( P  = 0.22) or by reason for travel ( P  = 0.13) but was more commonly sought by first time travellers ( P  = 0.03). Travellers visiting friends and relatives were more likely to report at-risk activities of brushing teeth with tap water ( P  food ( P  = 0.03) during travel compared to other travellers. Pre-travel health advice seeking practices and vaccine uptake was suboptimal among cases of notified disease. The results of this study highlight the need for a better understanding of barriers to pre-travel health seeking, particularly among high risk travellers, to reduce the importation of infectious diseases into Australia. © International Society of Travel Medicine, 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Associations of Weight Status, Social Factors, and Active Travel among College Students

Science.gov (United States)

Bopp, Melissa; Behrens, Timothy K.; Velecina, Rachel

2014-01-01

Background: Active travel (AT) is associated with various health benefits and may help prevent the decline in physical activity during college years. Purpose: The purpose of this study was to examine the relationship of several factors with AT to campus by weight status. Methods: Students at a large northeastern US campus completed an online…

See your GP, see the world - An activating course concept for fostering students' competence in performing vaccine and travel consultations.

Science.gov (United States)

Beltermann, Esther; Krane, Sibylla; Kiesewetter, Jan; Fischer, Martin R; Schelling, Jörg

2015-01-01

Performing vaccine and travel consultations is a crucial aspect of the daily routine in general medicine. However, medical education does not provide adequately and structured training for this future task of medical students. While existing courses mainly focus on theoretical aspects, we developed a course aiming to foster practical experience in performing vaccine and travel consultations. Project report: The course was implemented in the simulation clinic at the University of Munich in the summer 2011 semester using role-plays in a simulation-based learning environment. The course represents different disciplines involved in vaccine and travel medicine. Students' learning is supported through active engagement in planning and conducting consultations of patients. The course was implemented successfully and students' acceptance was high. However, there is a need for structured teaching of theoretical basics in vaccine and travel medicine earlier in medical curriculum. The insights gained through our course are used for the development of the structured longitudinal curriculum "vaccine medicine".

Towards More Responsible Business Travel : Green Travel Guide for Business Travellers

OpenAIRE

Aila, Anu

2010-01-01

The purpose of this research type thesis is to find ways how to develop sustainability in business travel. The target is increase the level of understanding and knowledge to respect natural environment and local cultures and find the right channels and ways to raise the knowledge. The study has been done to raise the awareness how business travel can be more sustainable. This thesis analyzes sustainable tourism based on the economic, environmental, and socio-cultural considerations. Green...

Integrated Mode Choice, Small Aircraft Demand, and Airport Operations Model User's Guide

Science.gov (United States)

Yackovetsky, Robert E. (Technical Monitor); Dollyhigh, Samuel M.

2004-01-01

A mode choice model that generates on-demand air travel forecasts at a set of GA airports based on changes in economic characteristics, vehicle performance characteristics such as speed and cost, and demographic trends has been integrated with a model to generate itinerate aircraft operations by airplane category at a set of 3227 airports. Numerous intermediate outputs can be generated, such as the number of additional trips diverted from automobiles and schedule air by the improved performance and cost of on-demand air vehicles. The total number of transported passenger miles that are diverted is also available. From these results the number of new aircraft to service the increased demand can be calculated. Output from the models discussed is in the format to generate the origin and destination traffic flow between the 3227 airports based on solutions to a gravity model.

Associations of health, physical activity and weight status with motorised travel and transport carbon dioxide emissions: a cross-sectional, observational study.

Science.gov (United States)

Goodman, Anna; Brand, Christian; Ogilvie, David

2012-08-03

Motorised travel and associated carbon dioxide (CO₂) emissions generate substantial health costs; in the case of motorised travel, this may include contributing to rising obesity levels. Obesity has in turn been hypothesised to increase motorised travel and/or CO₂ emissions, both because heavier people may use motorised travel more and because heavier people may choose larger and less fuel-efficient cars. These hypothesised associations have not been examined empirically, however, nor has previous research examined associations with other health characteristics. Our aim was therefore to examine how and why weight status, health, and physical activity are associated with transport CO₂ emissions. 3463 adults completed questionnaires in the baseline iConnect survey at three study sites in the UK, reporting their health, weight, height and past-week physical activity. Seven-day recall instruments were used to assess travel behaviour and, together with data on car characteristics, were used to estimate CO2 emissions. We used path analysis to examine the extent to which active travel, motorised travel and car engine size explained associations between health characteristics and CO₂ emissions. CO₂ emissions were higher in overweight or obese participants (multivariable standardized probit coefficients 0.16, 95% CI 0.08 to 0.25 for overweight vs. normal weight; 0.16, 95% CI 0.04 to 0.28 for obese vs. normal weight). Lower active travel and, particularly for obesity, larger car engine size explained 19-31% of this effect, but most of the effect was directly explained by greater distance travelled by motor vehicles. Walking for recreation and leisure-time physical activity were associated with higher motorised travel distance and therefore higher CO₂ emissions, while active travel was associated with lower CO₂ emissions. Poor health and illness were not independently associated with CO₂ emissions. Establishing the direction of causality between weight status

Associations of health, physical activity and weight status with motorised travel and transport carbon dioxide emissions: a cross-sectional, observational study

Directory of Open Access Journals (Sweden)

Goodman Anna

2012-08-01

Full Text Available Abstract Background Motorised travel and associated carbon dioxide (CO2 emissions generate substantial health costs; in the case of motorised travel, this may include contributing to rising obesity levels. Obesity has in turn been hypothesised to increase motorised travel and/or CO2 emissions, both because heavier people may use motorised travel more and because heavier people may choose larger and less fuel-efficient cars. These hypothesised associations have not been examined empirically, however, nor has previous research examined associations with other health characteristics. Our aim was therefore to examine how and why weight status, health, and physical activity are associated with transport CO2 emissions. Methods 3463 adults completed questionnaires in the baseline iConnect survey at three study sites in the UK, reporting their health, weight, height and past-week physical activity. Seven-day recall instruments were used to assess travel behaviour and, together with data on car characteristics, were used to estimate CO2 emissions. We used path analysis to examine the extent to which active travel, motorised travel and car engine size explained associations between health characteristics and CO2 emissions. Results CO2 emissions were higher in overweight or obese participants (multivariable standardized probit coefficients 0.16, 95% CI 0.08 to 0.25 for overweight vs. normal weight; 0.16, 95% CI 0.04 to 0.28 for obese vs. normal weight. Lower active travel and, particularly for obesity, larger car engine size explained 19-31% of this effect, but most of the effect was directly explained by greater distance travelled by motor vehicles. Walking for recreation and leisure-time physical activity were associated with higher motorised travel distance and therefore higher CO2 emissions, while active travel was associated with lower CO2 emissions. Poor health and illness were not independently associated with CO2 emissions. Conclusions Establishing

Season and weather effects on travel-related mood and travel satisfaction

NARCIS (Netherlands)

Ettema, Dick; Friman, Margareta; Olsson, Lars E.; Gärling, Tommy

2017-01-01

This study examines the effects of season and weather on mood (valence and activation) and travel satisfaction (measured by the Satisfaction with Travel Scale). Analyses are presented of 562 time-sampled morning commutes to work made by 363 randomly sampled people in three different Swedish cities

Mixed method evaluation of the Virtual Traveller physically active lesson intervention: An analysis using the RE-AIM framework.

Science.gov (United States)

Norris, E; Dunsmuir, S; Duke-Williams, O; Stamatakis, E; Shelton, N

2018-02-02

Physically active lessons integrating movement into academic content are a way to increase children's physical activity levels. Virtual Traveller was a physically active lesson intervention set in Year 4 (aged 8-9) primary school classes in Greater London, UK. Implemented by classroom teachers, it was a six-week intervention providing 10-min physically active Virtual Field Trips three times a week. The aim of this paper is to report the process evaluation of the Virtual Traveller randomized controlled trial according to RE-AIM framework criteria (Reach, Effectiveness, Adoption, Implementation and Maintenance). A mixed methods approach to evaluation was conducted with five intervention group classes. Six sources of data were collected via informed consent logs, teacher session logs, teacher and pupil questionnaires, teacher interviews and pupil focus groups. High participation and low attrition rates were identified (Reach) alongside positive evaluations of Virtual Traveller sessions from pupil and teachers (Effectiveness). Participants were from more deprived and ethnic backgrounds than local and national averages, with Virtual Traveller having the potential to be a free intervention (Adoption). 70% of sessions were delivered overall (Implementation) but no maintenance of the programme was evident at three month follow-up (Maintenance). Mixed method evaluation of Virtual Traveller showed potential for it to be implemented as a low-cost physically active lesson intervention in UK primary schools. Copyright © 2018 Elsevier Ltd. All rights reserved.

On the Travel Emissions of Sustainability Science Research

Directory of Open Access Journals (Sweden)

Timothy Waring

2014-05-01

Full Text Available This paper presents data on carbon emissions generated by travel undertaken for a major sustainability science research effort. Previous research has estimated CO2 emissions generated by individual scientists, by entire academic institutions, or by international climate conferences. Here, we sought to investigate the size, distribution and factors affecting the carbon emissions of travel for sustainability research in particular. Reported airline and automobile travel of participants in Maine’s Sustainability Solutions Initiative were used to calculate the carbon dioxide emissions attributable to research-related travel over a three-year period. Carbon emissions varied substantially by researcher and by purpose of travel. Travel for the purpose of dissemination created the largest carbon footprint. This result suggests that alternative networking and dissemination models are needed to replace the high carbon costs of annual society meetings. This research adds to literature that questions whether the cultural demands of contemporary academic careers are compatible with climate stabilization. We argue that precise record keeping and routine analysis of travel data are necessary to track and reduce the climate impacts of sustainability research. We summarize the barriers to behavioral change at individual and organizational levels and conclude with suggestions for reducing climate impacts of travel undertaken for sustainability research.

Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve

Science.gov (United States)

Richardson, Leslie; Huber, Christopher; Loomis, John

2017-01-01

Remote and unique destinations present difficulties when attempting to construct traditional travel cost models to value recreation demand. The biggest limitation comes from the lack of variation in the dependent variable, defined as the number of trips taken over a set time frame. There are various approaches that can be used for overcoming limitations of the traditional travel cost model in the context of remote destinations. This study applies an adaptation of the standard model to estimate recreation benefits of bear viewing at Katmai National Park and Preserve in Alaska, which represents a once-in-a-lifetime experience for many visitors. Results demonstrate that visitors to this park’s Brooks Camp area are willing to pay an average of US$287 per day of bear viewing. Implications of these findings for valuing recreation at other remote destinations are discussed.

Energy demand projections based on an uncertain dynamic system modeling approach

International Nuclear Information System (INIS)

Dong, S.

2000-01-01

Today, China has become the world's second largest pollution source of CO 2 . Owing to coal-based energy consumption, it is estimated that 85--90% of the SO 2 and CO 2 emission of China results from coal use. With high economic growth and increasing environmental concerns, China's energy consumption in the next few decades has become an issue of active concern. Forecasting of energy demand over long periods, however, is getting more complex and uncertain. It is believed that the economic and energy systems are chaotic and nonlinear. Traditional linear system modeling, used mostly in energy demand forecasts, therefore, is not a useful approach. In view of uncertainty and imperfect information about future economic growth and energy development, an uncertain dynamic system model, which has the ability to incorporate and absorb the nature of an uncertain system with imperfect or incomplete information, is developed. Using the model, the forecasting of energy demand in the next 25 years is provided. The model predicts that China's energy demand in 2020 will be about 2,700--3,000 Mtce, coal demand 3,500 Mt, increasing by 128% and 154%, respectively, compared with that of 1995

2001 New York State NHTS: Travel Patterns of Special Populations

Energy Technology Data Exchange (ETDEWEB)

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2010-03-01

Policymakers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and accommodate future demands; to assess the feasibility and efficiency of alternative congestion-alleviating technologies (e.g., high-speed rail, magnetically levitated trains, intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. The 2001 National Household Travel Survey (NHTS) collected both daily and longer-distance trips in one survey. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel was not part of the survey. New York State participated in the 2001 NHTS by procuring additional 12,000 sample households. These additional sample households allowed New York State to address transportation planning issues

Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach

Directory of Open Access Journals (Sweden)

Jie Zhang

2015-08-01

Full Text Available An intra-urban hierarchy of activity centers interconnected by non-motorized and public transportation is broadly believed to be the ideal urban spatial structure for sustainable cities. However, the proper hinterland area for centers at each level lacks empirical study. Based on the concentric structure of everyday travel distances, working centers, shopping centers, and neighborhood centers are extracted from corresponding types of POIs in 286 Chinese cities at the prefectural level and above. A U-shaped curve between Household Transportation Energy Consumption (HTEC per capita and center density at each of the three levels has been found through regression analysis. An optimal intra-urban hierarchy of activity centers is suggested to construct energy-efficient cities.

Incorporating unreliability of transit in transport demand models: theoretical and practical approach

NARCIS (Netherlands)

van Oort, N.; Brands, Ties; de Romph, E.; Aceves Flores, J.

2014-01-01

Nowadays, transport demand models do not explicitly evaluate the impacts of service reliability of transit. Service reliability of transit systems is adversely experienced by users, as it causes additional travel time and unsecure arrival times. Because of this, travelers are likely to perceive a

Beneficial association between active travel and metabolic syndrome in Latin-America: A cross-sectional analysis from the Chilean National Health Survey 2009-2010.

Science.gov (United States)

Sadarangani, Kabir P; Von Oetinger, Astrid; Cristi-Montero, Carlos; Cortínez-O'Ryan, Andrea; Aguilar-Farías, Nicolás; Martínez-Gómez, David

2018-02-01

There is limited evidence on potential health benefits of active travel, independently of leisure-time physical activity (PA), with metabolic syndrome (MetS) in Latin-America. To investigate the relationship between active travel and metabolic syndrome (MetS) and its components in a national representative sample of Chilean adults. Cross-sectional study of 2864 randomly selected adults' participants enrolled in the 2009-2010 Chilean National Health Survey (CNHS). Self-reported PA was obtained with the validated Global PA Questionnaire and classifying participants into insufficiently active (travel PA with MetS and its components at a regional level, adjusted for socio-demographic characteristics and other types of PA. 46.2% of the sample engaged in 150min/week of active travel and the prevalence of MetS was 33.7%. Mets was significantly lower among active travel participants. Active travel was associated with lower odds of MetS (OR 0.72; 95%CI 0.61-0.86), triglycerides (OR 0.77; 95%CI 0.64-0.92) and abdominal obesity (OR 0.82; 95%CI 0.69-0.97) after controlling for socio-demographics and other types of PA. Active travel was negatively associated with MetS, triglycerides and abdominal obesity. Efforts to increase regional active travel should be addressed as a measure to prevent and reduce the prevalence of MetS and disease burden in middle income countries. Copyright © 2017 Elsevier Inc. All rights reserved.

Walking, cycling and the urban form: A Heckman selection model of active travel mode and distance by young adolescents

DEFF Research Database (Denmark)

Kaplan, Sigal; Nielsen, Thomas Alexander Sick; Prato, Carlo Giacomo

2016-01-01

Physical inactivity of children and adolescents is a major public health challenge of the modern era but, when adequately promoted and nurtured, active travel offers immediate health benefits and forms future sustainable and healthy travel habits. This study explores jointly the choice...... and the extent of active travel of young adolescents while considering walking and cycling as distinct travel forms, controlling for objective urban form measures, and taking both a "street-buffer" looking at the immediate home surroundings and a "transport-zone" looking at wider neighborhoods. A Heckman...... selection model represents the distance covered while cycling (walking) given the mode choice being bicycle (walk) for a representative sample of 10-15 year-olds from the Capital Region of Denmark extracted from the Danish national travel survey. Results illustrate the necessity of different urban...

Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market

OpenAIRE

Heshmati, Almas

2012-01-01

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study demand, consumer baseline (CBL) and demand response in the electricity market. After characterizing the general demand models, it reviews consumer baseline based on which further study the demand response...

Associations between active travel and weight, blood pressure and diabetes in six middle income countries: a cross-sectional study in older adults.

Science.gov (United States)

Laverty, Anthony A; Palladino, Raffaele; Lee, John Tayu; Millett, Christopher

2015-05-20

There is little published data on the potential health benefits of active travel in low and middle-income countries. This is despite increasing levels of adiposity being linked to increases in physical inactivity and non-communicable diseases. This study will examine: (1) socio-demographic correlates of using active travel (walking or cycling for transport) among older adults in six populous middle-income countries (2) whether use of active travel is associated with adiposity, systolic blood pressure and self-reported diabetes in these countries. Data are from the WHO Study on Global Ageing and Adult Health (SAGE) of China, India, Mexico, Ghana, Russia and South Africa with a total sample size of 40,477. Correlates of active travel (≥150 min/week) were examined using logistic regression. Logistic and linear regression analyses were used to examine health related outcomes according to three groups of active travel use per week. 46.4% of the sample undertook ≥150 min of active travel per week (range South Africa: 21.9% Ghana: 57.8%). In pooled analyses those in wealthier households were less likely to meet this level of active travel (Adjusted Risk Ratio (ARR) 0.77, 95% Confidence Intervals 0.67; 0.88 wealthiest fifth vs. poorest). Older people and women were also less likely to use active travel for ≥150 min per week (ARR 0.71, 0.62; 0.80 those aged 70+ years vs. 18-29 years old, ARR 0.82, 0.74; 0.91 women vs. men). In pooled fully adjusted analyses, high use of active travel was associated with lower risk of overweight (ARR 0.71, 0.59; 0.86), high waist-to-hip ratio (ARR 0.71, 0.61; 0.84) and lower BMI (-0.54 kg/m(2), -0.98;- 0.11). Moderate (31-209 min/week) and high use (≥210 min/week) of active travel was associated with lower waist circumference (-1.52 cm (-2.40; -0.65) and -2.16 cm (3.07; -1.26)), and lower systolic blood pressure (-1.63 mm/Hg (-3.19; -0.06) and -2.33 mm/Hg (-3.98; -0.69)). In middle-income countries use of active travel for ≥150 min

A methodology for rearranging transit stops for enhancing transit users generalized travel time

Directory of Open Access Journals (Sweden)

Mohammad Nurul Hassan

2017-02-01

Full Text Available This study develops a methodology to consolidate transit stops. It develops a mathematical model and a program which takes stop consolidation decision(s according to users generalized travel time savings and desired accessibility. The model iterates until the users generalized travel time savings are maximized. The study tests this mathematical model in different hypothetical scenarios. Six factors (distance between stops, passenger activity, average cruising speed, maximum walking distance, service frequency, and percentage of decreased passengers with multiple levels were set to build the scenarios. Three responses (percentage of consolidated stops, percentages of travel time and operating time savings were observed. The findings showed that the distance between the stops the passenger activity, and the probable demand change (or the percentage of decreased passengers are the most influential factors. The frequency of service was found to be influential as well. The average cruising speed has very little influence on the response variables. Finally, the model is tested on two routes (route 900 and 930 of Al Ain City public bus service. It shows that 22 and 32 out of 98 and 126 stops can be consolidated in route 900 and 930 respectively. This can save considerable amounts of users travel and operating times. In monetary values, the savings are about $329,827 and $491,094 per year for routes 900 and 930, respectively.

An examination of sources of sensitivity of consumer surplus estimates in travel cost models.

Science.gov (United States)

Blaine, Thomas W; Lichtkoppler, Frank R; Bader, Timothy J; Hartman, Travis J; Lucente, Joseph E

2015-03-15

We examine sensitivity of estimates of recreation demand using the Travel Cost Method (TCM) to four factors. Three of the four have been routinely and widely discussed in the TCM literature: a) Poisson verses negative binomial regression; b) application of Englin correction to account for endogenous stratification; c) truncation of the data set to eliminate outliers. A fourth issue we address has not been widely modeled: the potential effect on recreation demand of the interaction between income and travel cost. We provide a straightforward comparison of all four factors, analyzing the impact of each on regression parameters and consumer surplus estimates. Truncation has a modest effect on estimates obtained from the Poisson models but a radical effect on the estimates obtained by way of the negative binomial. Inclusion of an income-travel cost interaction term generally produces a more conservative but not a statistically significantly different estimate of consumer surplus in both Poisson and negative binomial models. It also generates broader confidence intervals. Application of truncation, the Englin correction and the income-travel cost interaction produced the most conservative estimates of consumer surplus and eliminated the statistical difference between the Poisson and the negative binomial. Use of the income-travel cost interaction term reveals that for visitors who face relatively low travel costs, the relationship between income and travel demand is negative, while it is positive for those who face high travel costs. This provides an explanation of the ambiguities on the findings regarding the role of income widely observed in the TCM literature. Our results suggest that policies that reduce access to publicly owned resources inordinately impact local low income recreationists and are contrary to environmental justice. Copyright © 2014 Elsevier Ltd. All rights reserved.

Development, Implementation, and Evaluation of Active Lions: A Campaign to Promote Active Travel to a University Campus.

Science.gov (United States)

Bopp, Melissa; Sims, Dangaia; Matthews, Stephen A; Rovniak, Liza S; Poole, Erika; Colgan, Joanna

2018-03-01

To outline the development, implementation, and evaluation of a multistrategy intervention to promote active transportation, on a large university campus. Single group pilot study. A large university in the Northeastern United States. University students (n = 563), faculty and staff (employees, n = 999) were included in the study. The Active Lions campaign aimed to increase active transportation to campus for all students and employees. The campaign targeted active transport participation through the development of a smartphone application and the implementation of supporting social marketing and social media components. Component-specific measures included app user statistics, social media engagement, and reach of social marketing strategies. Overall evaluation included cross-sectional online surveys preintervention and postintervention of student and employee travel patterns and campaign awareness. Number of active trips to campus were summed, and the percentage of trips as active was calculated. T tests compared the differences in outcomes from preintervention to postintervention. Students had a higher percentage of active trips postintervention (64.2%) than preintervention (49.2%; t = 3.32, P = .001), although there were no differences for employees (7.9% and 8.91%). Greater awareness of Active Lions was associated with greater active travel. This multistrategy approach to increase active transportation on a college campus provided insight on the process of developing and implementing a campaign with the potential for impacting health behaviors among campus members.

Qualitative research in travel behavior studies

Energy Technology Data Exchange (ETDEWEB)

Mars Aicart, M.L.; Ruiz Sanchez, T.; Arroyo Lopez, M.R.

2016-07-01

Qualitative methodology is extensively used in a wide range of scientific areas, such as Sociology and Psychology, and it is been used to study individual and household decision making processes. However, in the Transportation Planning and Engineering domain it is still infrequent to find in the travel behavior literature studies using qualitative techniques to explore activity-travel decisions. The aim of this paper is first, to provide an overview of the types of qualitative techniques available and to explore how to correctly implement them. Secondly, to highlight the special characteristics of qualitative methods that make them appropriate to study activity-travel decision processes. Far from been an unempirical or intuitive methodology, using qualitative methods properly implies a strong foundation on theoretical frameworks, a careful design of data collection and a deep data analysis. For such a purpose, a review of the scarce activity-travel behavior literature using qualitative methods, or a combination of qualitative and quantitative approaches, is presented. The use of qualitative techniques can play a role of being a supplementary way of obtaining information related to activity-travel decisions which otherwise it would be extremely difficult to find. This work ends with some conclusions about how qualitative research could help in making progress on activity-travel behavior studies. (Author)

How travellers’ schedule their trips under uncertain travel times

DEFF Research Database (Denmark)

Hjorth, Katrine

Travel times play an important role when people decide where, when and how much to travel. But travel times are not always predictable from the traveller’s point of view: They may vary from day to day due to demand fluctuations, weather conditions, accidents and other unforeseen events that cause...... road capacity to decrease. We refer to this uncertainty as travel time variability (TTV). TTV is likely to affect how travellers schedule their trips, since it affects their probability of arriving late at their destination. We would like to account for TTV in traffic models and cost-benefit analyses......, but in practice there are limits to the kinds of behaviour that can be accommodated in such applications. For that reason, we are not solely interested in explaining travellers’ behaviour, but also in whether this behaviour can be approximated by behavioural models that are simple enough to be applied in traffic...

A Cost Benefit Analysis of an Active Travel Intervention with Health and Carbon Emission Reduction Benefits

Science.gov (United States)

Grams, Mark; Witten, Karen; Woodward, Alistair

2018-01-01

Active travel (walking and cycling) is beneficial for people’s health and has many co-benefits, such as reducing motor vehicle congestion and pollution in urban areas. There have been few robust evaluations of active travel, and very few studies have valued health and emissions outcomes. The ACTIVE before-and-after quasi-experimental study estimated the net benefits of health and other outcomes from New Zealand’s Model Communities Programme using an empirical analysis comparing two intervention cities with two control cities. The Programme funded investment in cycle paths, other walking and cycling facilities, cycle parking, ‘shared spaces’, media campaigns and events, such as ‘Share the Road’, and cycle-skills training. Using the modified Integrated Transport and Health Impacts Model, the Programme’s net economic benefits were estimated from the changes in use of active travel modes. Annual benefits for health in the intervention cities were estimated at 34.4 disability-adjusted life years (DALYs) and two lives saved due to reductions in cardiac disease, diabetes, cancer, and respiratory disease. Reductions in transport-related carbon emissions were also estimated and valued. Using a discount rate of 3.5%, the estimated benefit/cost ratio was 11:1 and was robust to sensitivity testing. It is concluded that when concerted investment is made in active travel in a city, there is likely to be a measurable, positive return on investment. PMID:29751618

Ultra-High-Speed Travelling Wave Protection of Transmission Line Using Polarity Comparison Principle Based on Empirical Mode Decomposition

Directory of Open Access Journals (Sweden)

Dong Wang

2015-01-01

Full Text Available The traditional polarity comparison based travelling wave protection, using the initial wave information, is affected by initial fault angle, bus structure, and external fault. And the relationship between the magnitude and polarity of travelling wave is ignored. Because of the protection tripping and malfunction, the further application of this protection principle is affected. Therefore, this paper presents an ultra-high-speed travelling wave protection using integral based polarity comparison principle. After empirical mode decomposition of the original travelling wave, the first-order intrinsic mode function is used as protection object. Based on the relationship between the magnitude and polarity of travelling wave, this paper demonstrates the feasibility of using travelling wave magnitude which contains polar information as direction criterion. And the paper integrates the direction criterion in a period after fault to avoid wave head detection failure. Through PSCAD simulation with the typical 500 kV transmission system, the reliability and sensitivity of travelling wave protection were verified under different factors’ affection.

Travel Recommendations for the Nursing Mother

Science.gov (United States)

... mothers traveling to malarious areas should ensure the antimalarial included is compatible with breastfeeding before beginning travel. ... submit" value="Submit" /> Division of Nutrition, Physical Activity, and Obesity About Us Nutrition Physical Activity Overweight & ...

Algorithm Research of Individualized Travelling Route Recommendation Based on Similarity

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Xue Shan

2015-01-01

Full Text Available Although commercial recommendation system has made certain achievement in travelling route development, the recommendation system is facing a series of challenges because of people’s increasing interest in travelling. It is obvious that the core content of the recommendation system is recommendation algorithm. The advantages of recommendation algorithm can bring great effect to the recommendation system. Based on this, this paper applies traditional collaborative filtering algorithm for analysis. Besides, illustrating the deficiencies of the algorithm, such as the rating unicity and rating matrix sparsity, this paper proposes an improved algorithm combing the multi-similarity algorithm based on user and the element similarity algorithm based on user, so as to compensate for the deficiencies that traditional algorithm has within a controllable range. Experimental results have shown that the improved algorithm has obvious advantages in comparison with the traditional one. The improved algorithm has obvious effect on remedying the rating matrix sparsity and rating unicity.

Driving pattern analysis of Nordic region based on the national travel surveys for electric vehicle integration

DEFF Research Database (Denmark)

Liu, Zhaoxi; Wu, Qiuwei; Christensen, Linda

2015-01-01

to the power system. This paper presents a methodology to transform driving behavior of persons into the one of cars in order to analyze the driving pattern of electric vehicles (EVs) based on the National Travel Surveys. In the proposed methodology, a statistical process is used to obtain the driving behavior......EVs show great potential to cope with the intermittency of renewable energy sources (RES) and provide demand side flexibility required by the smart grid.On the other hand, the EVs will increase the electricity consumption. Large scale integration of EVs will probably have substantial impacts...... of cars by grouping the survey respondents according to the driving license number and car number and mapping the households with similar characteristics. The proposed methodology was used to carry out the driving pattern analysis in the Nordic region. The detailed driving requirements and the charging...

Impact of Demand Side Management in Active Distribution Networks

DEFF Research Database (Denmark)

Ponnaganti, Pavani; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna

2017-01-01

Demand Side Management (DSM) is an efficient flexible program which helps distribution network operators to meet the future critical peak demand. It is executed in cases of not only technical issues like voltage sag or swell, transformer burdening, cable congestions, but also to increase the degree...... of visibility in the electricity markets. The aim of this paper is to find the optimal flexible demands that can be shifted to another time in order to operate the active distribution system within secure operating limits. A simple mechanism is proposed for finding the flexibility of the loads where electric...

Travel Behavior Change in Older Travelers: Understanding Critical Reactions to Incidents Encountered in Public Transport

OpenAIRE

Sundling, Catherine

2015-01-01

Accessibility of travel may be better understood if psychological factors underlying change in travel behavior are known. This paper examines older (65+) travelers? motives for changing their travel behavior. These changes are grounded in critical incidents earlier encountered in public-transport travel. A scientific framework is developed based on cognitive and behavioral theory. In 29 individual interviews, travelers? critical reactions (i.e., cognitive, emotional, and/or behavioral) to 77 ...

See your GP, see the world – An activating course concept for fostering students' competence in performing vaccine and travel consultations

Directory of Open Access Journals (Sweden)

Beltermann, Esther

2015-08-01

Full Text Available Aim: Performing vaccine and travel consultations is a crucial aspect of the daily routine in general medicine. However, medical education does not provide adequately and structured training for this future task of medical students. While existing courses mainly focus on theoretical aspects, we developed a course aiming to foster practical experience in performing vaccine and travel consultations. Project report: The course was implemented in the simulation clinic at the University of Munich in the summer 2011 semester using role-plays in a simulation-based learning environment. The course represents different disciplines involved in vaccine and travel medicine. Students’ learning is supported through active engagement in planning and conducting consultations of patients.Discussion and Summary: The course was implemented successfully and students’ acceptance was high. However, there is a need for structured teaching of theoretical basics in vaccine and travel medicine earlier in medical curriculum. The insights gained through our course are used for the development of the structured longitudinal curriculum “vaccine medicine”.

Does the use of alcohol-based hand gel sanitizer reduce travellers' diarrhea and gastrointestinal upset?: A preliminary survey.

Science.gov (United States)

Henriey, Delphine; Delmont, Jean; Gautret, Philippe

2014-01-01

Use of alcohol-based hand sanitizer is recommended by the CDC to reduce the risk for travellers' diarrhoea, but its effectiveness has not been assessed. We investigated the potential protective effect of hand sanitizer use on the occurrence of diarrhoea and/or vomiting in 200 international travellers, who were returning home, at an international airport. We also conducted a knowledge, aptitude and practice survey about hand gel use among international travellers consulting for pre-travel advice at a specialized clinic. 200 returning travellers were included of which 32.5% declared having used alcohol-based hand sanitizer during travel. Travellers who used hand sanitizer reported diarrhoea and vomiting significantly less frequently than those who did not (17% vs. 30%, OR = 0.47; 95% CI [0.21-0.97], p = 0.04). A total of 257 travellers consulting for pre-travel advice were included. A majority of travellers knew that hand sanitizer may be used for hand hygiene and had already used hand sanitizer; 72% planned to bring hand sanitizer during their next travel. Use of hand sanitizer is highly acceptable by travellers and is associated with a reduction in the incidence of travellers' diarrhoea and/or vomiting. Copyright © 2014 Elsevier Ltd. All rights reserved.

Travel, infection and immunity

NARCIS (Netherlands)

Soonawala, Darius

2016-01-01

Preface: The content of this thesis is based on research that was conducted at the travel and vaccination clinic at Leiden University Medical Centre (LUMC). This clinic provides pre-travel care to the general population, and to special groups of travellers, such as patients who use

Built environmental factors and adults' travel behaviors: Role of street layout and local destinations.

Science.gov (United States)

Koohsari, Mohammad Javad; Owen, Neville; Cole, Rachel; Mavoa, Suzanne; Oka, Koichiro; Hanibuchi, Tomoya; Sugiyama, Takemi

2017-03-01

Street layout is consistently associated with adults' travel behaviors, however factors influencing this association are unclear. We examined associations of street layout with travel behaviors: walking for transport (WT) and car use; and, the extent to which these relationships may be accounted for by availability of local destinations. A 24-h travel diary was completed in 2009 by 16,345 adult participants of the South-East Queensland Household Travel Survey, Australia. Three travel-behavior outcomes were derived: any home-based WT; over 30min of home-based WT; and, over 60min of car use. For street layout, a space syntax measure of street integration was calculated for each Statistical Area 1 (SA1, the smallest geographic unit in Australia). An objective measure of availability of destinations - Walk Score - was also derived for each SA1. Logistic regression examined associations of street layout with travel behaviors. Mediation analyses examined to what extent availability of destinations explained the associations. Street integration was significantly associated with travel behaviors. Each one-decile increment in street integration was associated with an 18% (95%CI: 1.15, 1.21) higher odds of any home-based WT; a 10% (95%CI: 1.06, 1.15) higher odds of over 30min of home-based WT; and a 5% (95%CI: 0.94, 0.96) lower odds of using a car over 60min. Local destinations partially mediated the effects of street layout on travel behaviors. Well-connected street layout contributes to active travel partially through availability of more local destinations. Urban design strategies need to address street layout and destinations to promote active travel among residents. Copyright © 2016 Elsevier Inc. All rights reserved.

Research on Demand for Bus Transport and Transport Habits of High School Students in Žilina Region

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Konečný Vladimír

2017-11-01

Full Text Available The paper deals with the analysis of demand for bus transport to examine determinants of demand and practices of high school students based on survey of their transport habits in Žilina Region. Transport habits of students are individual and variable in time. This group of passengers is dependent on public passenger transport services because of their travelling to schools. Significant part of demand for public passenger transport is also formed by this this group of passengers. The knowledge of student's transport habits may help in process of adaptation of offering and quality of transport serviceability what may subsequently stabilize demand for public passenger transport.

Travel experience ecosystem model : building travel agencies’ business resilience in Portugal

OpenAIRE

Salvado, Josefina

2011-01-01

The Portuguese tourism distribution recognizes in the digital economy drivers - based on e-business, collaborative networks and information exchange - an incentive to productivity and rendibility, leading to sustainable competitive advantages. Travel agencies live currently in a Darwinian business-oriented environment, where only resilient entrepreneurs are able to survive. This framing allows the genesis of a new theoretical archetype of travel agencies, the “TEEM - Travel Exp...

Elite futsal refereeing: Activity profile and physiological demands

DEFF Research Database (Denmark)

Rebelo, António N.; Ascensão, António A.; Magalhães, José F.

2011-01-01

Rebelo, AN, Ascensão, AA, Magalhães, JF, Bischoff, R, Bendiksen, M, and Krustrup, P. Elite futsal refereeing: activity profile and physiological demands. J Strength Cond Res 24(X): 000-000, 2010-The purpose of this study was to determine the physiological demands and to establish the relationship...... between activity profile and endurance capacity of futsal referees. Eighteen elite futsal referees (33.0 ± 5.1 years, 173 ± 5 cm, and 73.2 ± 8.4 kg) were studied. Video filming (n = 18) and heart rate (HR) recordings were performed throughout games. Blood lactate (n = 14) was determined at rest and after....... Considering the data obtained in the present study, the use of match-specific intermittent fitness tests to evaluate futsal referees seems to be required....

Travellers' diarrhoea.

Science.gov (United States)

Ericsson, Charles D

2003-02-01

Risk of travellers' diarrhoea is about 7% in developed countries and 20-50% in the developing world. Options for prevention include education and chemoprophylaxis. Vaccination is a promising but incomplete option. Achieving behaviour modification of food and water choices among tourists is difficult. Bismuth subsalicylate (BSS)-containing compounds are about 62% effective in the prevention of travellers' diarrhoea. Antibiotics are about 84% effective in preventing travellers' diarrhoea. Routine prophylaxis of travellers' diarrhoea, especially with antibiotics, should be discouraged. Oral rehydration is generally important in the treatment of diarrhoea, but travellers' diarrhoea is only infrequently dehydrating in adults. The addition of oral rehydration solutions confers no additional benefit to loperamide in the treatment of travellers' diarrhoea in adults. Presently, the most active of the antibiotics routinely available for treatment are members of the fluoroquinolone group. Antibiotics that are not absorbed such as aztreonam and a rifampicin-like agent, rifaximin, are both effective. The latter might become a therapy of choice once it is routinely available, due to predictably less adverse reactions with a non-absorbed antibiotic. Preliminary results with azithromycin look very promising. Less severe disease can be treated with a variety of non-antibiotic agents (e.g. BSS-containing compounds, loperamide and a calmodulin inhibitor, zaldaride). The combination of an antibiotic and loperamide is superior to treatment with either agent alone in a several studies and is arguably the treatment of choice for distressing travellers' diarrhoea.

Transit use and physical activity: Findings from the Houston travel-related activity in neighborhoods (TRAIN study

Directory of Open Access Journals (Sweden)

Gregory Knell

2018-03-01

Full Text Available Transportation-related physical activity can significantly increase daily total physical activity through active transportation or walking/biking to transit stops. The purpose of this study was to assess the relations between transit-use and self-reported and monitor-based physical activity levels in a predominantly minority population from the Houston Travel-Related Activity in Neighborhoods (TRAIN Study. This was a cross-sectional analysis of 865 adults living in Houston, Texas between 2013 and 2015. The exposure variable was transit-use (non-users, occasional users, and primary users. Self-reported and accelerometer-determined physical activity were the outcomes of interest. Regression models adjusting for age, sex, race/ethnicity, and other covariates of interest were built to test the hypothesis that transit user status was directly associated with 1 minutes of moderate-intensity physical activity and 2 the prevalence of achieving the physical activity guidelines. The majority of participants were female, non-Hispanic black, and almost one-third had a high school education or less. After adjustment, primary transit-use was associated with 134.2 (p<0.01 additional mean minutes per week of self-reported moderate-intensity transportation-related physical activity compared to non-users. Further, primary users had 7.3 (95% CI: 2.6–20.1 times the relative adjusted odds of meeting physical activity recommendations than non-users based on self-reported transportation-related physical activity. There were no statistically significant associations of transit-use with self-reported leisure-time or accelerometer-derived physical activity. Transit-use has the potential for a large public health impact due to its sustainability and scalability. Therefore, encouraging the use of transit as a means to promote physical activity should be examined in future studies. Keywords: Physical activity, Transportation, Commuting, Motor activity, Urban health

Communities on the Move: Pedestrian-Oriented Zoning as a Facilitator of Adult Active Travel to Work in the United States.

Science.gov (United States)

Chriqui, Jamie F; Leider, Julien; Thrun, Emily; Nicholson, Lisa M; Slater, Sandy

2016-01-01

Communities across the United States have been reforming their zoning codes to create pedestrian-friendly neighborhoods with increased street connectivity, mixed use and higher density, open space, transportation infrastructure, and a traditional neighborhood structure. Zoning code reforms include new urbanist zoning such as the SmartCode, form-based codes, transects, transportation and pedestrian-oriented developments, and traditional neighborhood developments. To examine the relationship of zoning code reforms and more active living--oriented zoning provisions with adult active travel to work via walking, biking, or by using public transit. Zoning codes effective as of 2010 were compiled for 3,914 municipal-level jurisdictions located in 471 counties and 2 consolidated cities in 48 states and the District of Columbia, and that collectively covered 72.9% of the U.S. population. Zoning codes were evaluated for the presence of code reform zoning and nine pedestrian-oriented zoning provisions (1 = yes): sidewalks, crosswalks, bike-pedestrian connectivity, street connectivity, bike lanes, bike parking, bike-pedestrian trails/paths, mixed-use development, and other walkability/pedestrian orientation. A zoning scale reflected the number of provisions addressed (out of 10). Five continuous outcome measures were constructed using 2010-2014 American Community Survey municipal-level 5-year estimates to assess the percentage of workers: walking, biking, walking or biking, or taking public transit to work OR engaged in any active travel to work. Regression models controlled for municipal-level socioeconomic characteristics and a GIS-constructed walkability scale and were clustered on county with robust standard errors. Adjusted models indicated that several pedestrian-oriented zoning provisions were statistically associated (p biking, or engaging in any active travel (walking, biking, or any active travel) to work: code reform zoning, bike parking (street furniture

An ecoregional approach to the economic valuation of land- and water-based recreation in the United States

Science.gov (United States)

Gajana Bhat; John Bergsrom; R. Jeff. Teasley

1998-01-01

This paper describes a framework for estimating the economic value of outdoor recreation across different ecoregions. Ten ecoregions in the continental United States were defined based on similarly functioning ecosystem characters. The individual travel cost method was employed to estimate recreation demand functions for activities such...

Travel Mode Use, Travel Mode Shift and Subjective Well-Being: Overview of Theories, Empirical Findings and Policy Implications

NARCIS (Netherlands)

Ettema, D.F.; Friman, M.; Gärling, Tommy; Olsson, Lars

2016-01-01

This chapter discusses how travel by different travel modes is related to primarily subjective well-being but also to health or physical well-being. Studies carried out in different geographic contexts consistently show that satisfaction with active travel modes is higher than travel by car and

Infectious Risks of Traveling Abroad.

Science.gov (United States)

Chen, Lin H; Blair, Barbra M

2015-08-01

A popular leisure activity, international travel can be associated with some infections. The most common travel-related illnesses appear to be gastrointestinal, dermatologic, respiratory, and systemic febrile syndromes. The pretravel medical consultation includes immunizations, malaria chemoprophylaxis, self-treatment for traveler's diarrhea, and advice on the prevention of a myriad of other infectious causes including dengue, chikungunya, rickettsiosis, leptospirosis, schistosomiasis, and strongyloidiasis. Travel to locations experiencing outbreaks such as Ebola virus disease, Middle East respiratory syndrome, avian influenza, and chikungunya call for specific alerts on preventive strategies. After travel, evaluation of an ill traveler must explore details of exposure, including destinations visited; activities; ingestion of contaminated food or drinks; contact with vectors, animals, fresh water, or blood and body fluids; and other potential exposures. Knowledge of the geographic distribution of infectious diseases is important in generating the differential diagnoses and testing accordingly. Empiric treatment is sometimes necessary when suspicion of a certain diagnosis is strong and confirmatory tests are delayed or lacking, particularly for infections that are rapidly progressive (for example, malaria) or for which timing of testing is prolonged (such as leptospirosis).

Simulation-based Strategies for Smart Demand Response

Directory of Open Access Journals (Sweden)

Ines Leobner

2018-03-01

Full Text Available Demand Response can be seen as one effective way to harmonize demand and supply in order to achieve high self-coverage of energy consumption by means of renewable energy sources. This paper presents two different simulation-based concepts to integrate demand-response strategies into energy management systems in the customer domain of the Smart Grid. The first approach is a Model Predictive Control of the heating and cooling system of a low-energy office building. The second concept aims at industrial Demand Side Management by integrating energy use optimization into industrial automation systems. Both approaches are targeted at day-ahead planning. Furthermore, insights gained into the implications of the concepts onto the design of the model, simulation and optimization will be discussed. While both approaches share a similar architecture, different modelling and simulation approaches were required by the use cases.

An Analysis of Delay and Travel Times at Sao Paulo International Airport (AISP/GRU): Planning Based on Simulation Model

Science.gov (United States)

Santana, Erico Soriano Martins; Mueller, Carlos

2003-01-01

The occurrence of flight delays in Brazil, mostly verified at the ground (airfield), is responsible for serious disruptions at the airport level but also for the unchaining of problems in all the airport system, affecting also the airspace. The present study develops an analysis of delay and travel times at Sao Paulo International Airport/ Guarulhos (AISP/GRU) airfield based on simulation model. Different airport physical and operational scenarios had been analyzed by means of simulation. SIMMOD Plus 4.0, the computational tool developed to represent aircraft operation in the airspace and airside of airports, was used to perform these analysis. The study was mainly focused on aircraft operations on ground, at the airport runway, taxi-lanes and aprons. The visualization of the operations with increasing demand facilitated the analyses. The results generated in this work certify the viability of the methodology, they also indicated the solutions capable to solve the delay problem by travel time analysis, thus diminishing the costs for users mainly airport authority. It also indicated alternatives for airport operations, assisting the decision-making process and in the appropriate timing of the proposed changes in the existing infrastructure.

Transit use and physical activity: Findings from the Houston travel-related activity in neighborhoods (TRAIN) study.

Science.gov (United States)

Knell, Gregory; Durand, Casey P; Shuval, Kerem; Kohl Iii, Harold W; Salvo, Deborah; Sener, Ipek; Gabriel, Kelley Pettee

2018-03-01

Transportation-related physical activity can significantly increase daily total physical activity through active transportation or walking/biking to transit stops. The purpose of this study was to assess the relations between transit-use and self-reported and monitor-based physical activity levels in a predominantly minority population from the Houston Travel-Related Activity in Neighborhoods (TRAIN) Study. This was a cross-sectional analysis of 865 adults living in Houston, Texas between 2013 and 2015. The exposure variable was transit-use (non-users, occasional users, and primary users). Self-reported and accelerometer-determined physical activity were the outcomes of interest. Regression models adjusting for age, sex, race/ethnicity, and other covariates of interest were built to test the hypothesis that transit user status was directly associated with 1) minutes of moderate-intensity physical activity and 2) the prevalence of achieving the physical activity guidelines. The majority of participants were female, non-Hispanic black, and almost one-third had a high school education or less. After adjustment, primary transit-use was associated with 134.2 ( p  < 0.01) additional mean minutes per week of self-reported moderate-intensity transportation-related physical activity compared to non-users. Further, primary users had 7.3 (95% CI: 2.6-20.1) times the relative adjusted odds of meeting physical activity recommendations than non-users based on self-reported transportation-related physical activity. There were no statistically significant associations of transit-use with self-reported leisure-time or accelerometer-derived physical activity. Transit-use has the potential for a large public health impact due to its sustainability and scalability. Therefore, encouraging the use of transit as a means to promote physical activity should be examined in future studies.

Risk of rabies exposure among travellers

NARCIS (Netherlands)

Wieten, R. W.; Tawil, S.; van Vugt, M.; Goorhuis, A.; Grobusch, M. P.

2015-01-01

In recent years, requests for rabies immunoglobulin have increased at Amsterdam's Academic Medical Center's travel clinic. Travellers who received rabies pre-exposure prophylaxis (PrEP) before travel departure have immunological memory that can quickly be activated by timely booster vaccinations

Planning for subacute care: predicting demand using acute activity data.

Science.gov (United States)

Green, Janette P; McNamee, Jennifer P; Kobel, Conrad; Seraji, Md Habibur R; Lawrence, Suanne J

2016-01-01

Objective The aim of the present study was to develop a robust model that uses the concept of 'rehabilitation-sensitive' Diagnosis Related Groups (DRGs) in predicting demand for rehabilitation and geriatric evaluation and management (GEM) care following acute in-patient episodes provided in Australian hospitals. Methods The model was developed using statistical analyses of national datasets, informed by a panel of expert clinicians and jurisdictional advice. Logistic regression analysis was undertaken using acute in-patient data, published national hospital statistics and data from the Australasian Rehabilitation Outcomes Centre. Results The predictive model comprises tables of probabilities that patients will require rehabilitation or GEM care after an acute episode, with columns defined by age group and rows defined by grouped Australian Refined (AR)-DRGs. Conclusions The existing concept of rehabilitation-sensitive DRGs was revised and extended. When applied to national data, the model provided a conservative estimate of 83% of the activity actually provided. An example demonstrates the application of the model for service planning. What is known about the topic? Health service planning is core business for jurisdictions and local areas. With populations ageing and an acknowledgement of the underservicing of subacute care, it is timely to find improved methods of estimating demand for this type of care. Traditionally, age-sex standardised utilisation rates for individual DRGs have been applied to Australian Bureau of Statistics (ABS) population projections to predict the future need for subacute services. Improved predictions became possible when some AR-DRGs were designated 'rehabilitation-sensitive'. This improved methodology has been used in several Australian jurisdictions. What does this paper add? This paper presents a new tool, or model, to predict demand for rehabilitation and GEM services based on in-patient acute activity. In this model, the

Factors Influencing Compensation Demanded for Environmental Impacts Generated by Different Economic Activities

Directory of Open Access Journals (Sweden)

Virna Vaneza Gutiérrez

2015-07-01

Full Text Available This work advances the understanding of compensation demanded for environmental impacts on atmosphere, lakes and rivers, soil, and ocean generated by mining, urban, fishing and agriculture activities. Our aims are to determine whether compensation demanded depends on the standard variables used in the field of risk perception (as perceived risk, public acceptability and trust in regulating authorities, and to explore whether these relationships depend on the environment affected and on the economic activity generating the impacts. General Linear Models were used to analyze survey responses from 427 citizens of Santiago, Chile. Results showed that compensation demanded depends on perceived risk, acceptability, and on the economic activity, but not on the environment affected. Acceptability depends on trust in authorities, on perceived risk and on the economic activity. Perceived risk depends on trust, the economic activity and the environment affected. Overall, environmental impacts from the mining industry are perceived as riskier, less acceptable, and have a higher compensation demanded than those generated by the other sectors. These results suggest that to achieve sustainable development, regulations should consider not only environmental impacts but also the economic activity originating them.

Hierarchical prediction of industrial water demand based on refined Laspeyres decomposition analysis.

Science.gov (United States)

Shang, Yizi; Lu, Shibao; Gong, Jiaguo; Shang, Ling; Li, Xiaofei; Wei, Yongping; Shi, Hongwang

2017-12-01

A recent study decomposed the changes in industrial water use into three hierarchies (output, technology, and structure) using a refined Laspeyres decomposition model, and found monotonous and exclusive trends in the output and technology hierarchies. Based on that research, this study proposes a hierarchical prediction approach to forecast future industrial water demand. Three water demand scenarios (high, medium, and low) were then established based on potential future industrial structural adjustments, and used to predict water demand for the structural hierarchy. The predictive results of this approach were compared with results from a grey prediction model (GPM (1, 1)). The comparison shows that the results of the two approaches were basically identical, differing by less than 10%. Taking Tianjin, China, as a case, and using data from 2003-2012, this study predicts that industrial water demand will continuously increase, reaching 580 million m 3 , 776.4 million m 3 , and approximately 1.09 billion m 3 by the years 2015, 2020 and 2025 respectively. It is concluded that Tianjin will soon face another water crisis if no immediate measures are taken. This study recommends that Tianjin adjust its industrial structure with water savings as the main objective, and actively seek new sources of water to increase its supply.

Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination

OpenAIRE

Amoako-Tuffour, Joe; Martınez-Espineira, Roberto

2008-01-01

Using count data models that account for zero-truncation, overdispersion, and endogenous stratification, this paper estimates the value of access to recreational parks. The focus is on the valuation of the opportunity cost of travel time within the cost of the trip and its effects on estimated consumer surplus. The fraction of hourly earnings that corresponds to the opportunity cost of travel time is endogenously estimated as a function of visitor characteristics, rather than fixed exogenousl...

A process model of voluntary travel behavior modification and effects of Travel Feedback Programs (TFPs)

OpenAIRE

Taniguchi, Ayako

2007-01-01

This study tested an integrated process model of travel behavior modification. We used a model that combined the theory of planned behavior (TPB), norm activation theory (NAT), a theory of implementation intention, and theories of habit. To test the integrated model, we used panel data (n = 208) obtained before and after travel feedback programs (TFPs); the TFP is a communication program aimed at voluntary travel behavior modification, from automobile use to non-auto means of travel such as p...

RESEARCH: An Ecoregional Approach to the Economic Valuation of Land- and Water-Based Recreation in the United States

Science.gov (United States)

Bhat; Bergstrom; Teasley; Bowker; Cordell

1998-01-01

/ This paper describes a framework for estimating the economic value of outdoor recreation across different ecoregions. Ten ecoregions in the continental United States were defined based on similarly functioning ecosystem characters. The individual travel cost method was employed to estimate recreation demand functions for activities such as motor boating and waterskiing, developed and primitive camping, coldwater fishing, sightseeing and pleasure driving, and big game hunting for each ecoregion. While our ecoregional approach differs conceptually from previous work, our results appear consistent with the previous travel cost method valuation studies.KEY WORDS: Recreation; Ecoregion; Travel cost method; Truncated Poisson model

A Review of Demand Forecast for Charging Facilities of Electric Vehicles

Science.gov (United States)

Jiming, Han; Lingyu, Kong; Yaqi, Shen; Ying, Li; Wenting, Xiong; Hao, Wang

2017-05-01

The demand forecasting of charging facilities is the basis of its planning and locating, which has important role in promoting the development of electric vehicles and alleviating the energy crisis. Firstly, this paper analyzes the influence of the charging mode, the electric vehicle population and the user’s charging habits on the demand of charging facilities; Secondly, considering these factors, the recent analysis on charging and switching equipment demand forecast is divided into two methods—forecast based on electric vehicle population and user traveling behavior. Then, the article analyzes the two methods and puts forward the advantages and disadvantages. Finally, in view of the defects of current research, combined with the current situation of the development of the city and comprehensive consideration of economic, political, environmental and other factors, this paper proposes an improved demand forecasting method which has great practicability and pertinence and lays the foundation for the plan of city electric facilities.

Travel, infection and immunity

OpenAIRE

Soonawala, Darius

2016-01-01

Preface: The content of this thesis is based on research that was conducted at the travel and vaccination clinic at Leiden University Medical Centre (LUMC). This clinic provides pre-travel care to the general population, and to special groups of travellers, such as patients who use immunosuppressants or who have chronic diseases. The clinic is closely connected to the department of Infectious Diseases at LUMC. The setting of a travel clinic within an academic medical hospital, provides unique...

EPA’s Travel Efficiency Method (TEAM) AMPO Presentation

Science.gov (United States)

Presentation describes EPA’s Travel Efficiency Assessment Method (TEAM) assessing potential travel efficiency strategies for reducing travel activity and emissions, includes reduction estimates in Vehicle Miles Traveled in four different geographic areas.

Measuring Workplace Travel Behaviour: Validity and Reliability of Survey Questions

Directory of Open Access Journals (Sweden)

Nicholas A. Petrunoff

2013-01-01

Full Text Available Background. The purpose of this study was to assess the (previously untested reliability and validity of survey questions commonly used to assess travel mode and travel time. Methods. Sixty-five respondents from a staff survey of travel behaviour conducted in a south-western Sydney hospital agreed to complete a travel diary for a week, wear an accelerometer over the same period, and twice complete an online travel survey an average of 21 days apart. The agreement in travel modes between the self-reported online survey and travel diary was examined with the kappa statistic. Spearman’s correlation coefficient was used to examine agreement of travel time from home to workplace measured between the self-reported online survey and four-day travel diary. Moderate-to-vigorous physical activity (MVPA time of active and nonactive travellers was compared by t-test. Results. There was substantial agreement between travel modes (K=0.62, P<0.0001 and a moderate correlation for travel time (ρ=0.75, P<0.0001 reported in the travel diary and online survey. There was a high level of agreement for travel mode (K=0.82, P<0.0001 and travel time (ρ=0.83, P<0.0001 between the two travel surveys. Accelerometer data indicated that for active travellers, 16% of the journey-to-work time is MVPA, compared with 6% for car drivers. Active travellers were significantly more active across the whole workday. Conclusions. The survey question “How did you travel to work this week? If you used more than one transport mode specify the one you used for the longest (distance portion of your journey” is reliable over 21 days and agrees well with a travel diary.

The elasticity of demand for gasoline in China

International Nuclear Information System (INIS)

Lin, C.-Y. Cynthia; Zeng, Jieyin

2013-01-01

This paper estimates the price and income elasticities of demand for gasoline in China. Our estimates of the intermediate-run price elasticity of gasoline demand range between −0.497 and −0.196, and our estimates of the intermediate-run income elasticity of gasoline demand range between 1.01 and 1.05. We also extend previous studies to estimate the vehicle miles traveled (VMT) elasticity and obtain a range from −0.882 to −0.579. - highlights: • The price elasticity of demand for gasoline in China is between −0.497 and −0.196. • The income elasticity of demand for gasoline in China is between 1.01 and 1.05. • The price elasticity of demand for VMT in China is between −0.882 and −0.579

Modeling a Multinomial Logit Model of Intercity Travel Mode Choice Behavior for All Trips in Libya

OpenAIRE

Manssour A. Abdulsalam Bin Miskeen; Ahmed Mohamed Alhodairi; Riza Atiq Abdullah Bin O. K. Rahmat

2013-01-01

In the planning point of view, it is essential to have mode choice, due to the massive amount of incurred in transportation systems. The intercity travellers in Libya have distinct features, as against travellers from other countries, which includes cultural and socioeconomic factors. Consequently, the goal of this study is to recognize the behavior of intercity travel using disaggregate models, for projecting the demand of nation-level intercity travel in Libya. Multinom...

Activity Patterns and Pollution Exposure. A Case Study of Melbourne

International Nuclear Information System (INIS)

Marquez, L.; Smith, N.; Trinidad, G.; Guo, J.

2001-01-01

In recent times there has been increasing interest in modelling policies to limit impacts of air pollution due to motor vehicles. Impacts of air pollution on human health and comfort depend on the relationship between the distribution of pollutants and the spatial distribution of the urban population. As emissions, weather conditions and the location of the population vary with time of day, day of month and season of the year, the problem is complex. Travel demand models with activity-based approaches and a focus on the overall structure of activity/travel relations, not only spatially, but temporally can make a valuable contribution. They are often used to estimate emissions due to the travel patterns of city populations but may equally be used to provide distributions of urban populations during the day. A case study for Melbourne, Australia demonstrates the use of activity data in the estimation of population exposure. Additionally the study shows some marked differences in activity between seasons and even greater the differences in effect of that activity on exposure to air pollution. Numbers of cities will have seasonal pollutant patterns similar to Melbourne and others will benefit from exploring such patterns

Analysis of Japanese energy demand structure based on the interindustry-relations table

International Nuclear Information System (INIS)

Kanai, Akira; Kashihara, Toshinori

1990-01-01

Matching of energy-supply system and demand system is very important in dealing with the energy problem. Especially the energy-demand system is important for determing the quantity and quality of the energy demand. The energy demand is created by activities of industry and human life. The best materials which describe these activity conditions is the interindustry-relations table. Authors rely on this table as the basic data for assuming the energy demand analysis of energy system. The defect of this table is that an industrial classification differs in publishing years. So the table is lacking in the time sequential consistency. Therefore we discuss the method to improve the defect in consistency. In addition, this report analyses the energy demand structure in Japan according to the improved method. The research is done by the following procedure, 1. The unified common sector data is made so that an industrial classification in the interindustry-relations tables become common. 2. The quantity of input energy in each section is extracted from the tables. 3. The input energy is converted into the characteristic indicator and the calorific indicator. 4. The section is united using the common sector data. 5. The result is shown in table or graph. 6. The energy demand structure is analyzed based on the tables and the graphs. This interindustry-relations table is offered by request in the form of the magnetic tape. All the data is processed by computer due to the abundant amount of data. This report shows the idea how to process the fable instead of displaying the details. In addition, the problem in the analysis of the table is pointed out as results of the analysis. This report describes the feature of 23-sections classification in analysis of the energy demand structure. This report offers a basic data to make energy scenario to the energy system analysists. (J.P.N.)

Market-based demand forecasting promotes informed strategic financial planning.

Science.gov (United States)

Beech, A J

2001-11-01

Market-based demand forecasting is a method of estimating future demand for a healthcare organization's services by using a broad range of data that describe the nature of demand within the organization's service area. Such data include the primary and secondary service areas, the service-area populations by various demographic groupings, discharge utilization rates, market size, and market share by service line and organizationwide. Based on observable market dynamics, strategic planners can make a variety of explicit assumptions about future trends regarding these data to develop scenarios describing potential future demand. Financial planners then can evaluate each scenario to determine its potential effect on selected financial and operational measures, such as operating margin, days cash on hand, and debt-service coverage, and develop a strategic financial plan that covers a range of contingencies.

End to End Travel

Data.gov (United States)

US Agency for International Development — E2 Solutions is a web based end-to-end travel management tool that includes paperless travel authorization and voucher document submissions, document approval...

38 CFR 21.7103 - Travel expenses.

Science.gov (United States)

2010-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false Travel expenses. 21.7103...) VOCATIONAL REHABILITATION AND EDUCATION All Volunteer Force Educational Assistance Program (Montgomery GI Bill-Active Duty) Counseling § 21.7103 Travel expenses. (a) Travel for veterans and servicemembers. (1...

The role of husband's and wife's economic activity status in the demand for children.

Science.gov (United States)

Wong, Y

1987-04-01

Data from Hong Kong were used to examine how the demand for children is affected by the economic returns to different types of market activities. The specific data used was a 1% sample of the 1976 "Hong Kong By-Census of Population." Only women under 50 who were currently married and living with their husbands were included. The households were restricted to land-based and non-farm families with economically active husbands. There were a total of 4128 families in the sample; in 3768 families the wife had experienced at least 1 birth. A simple 1-period model of household production and fertility demand is outlined. Emphasis was on 2 aspects of the demand for children in households who choose to work in the informal sector: children are more readily employed in a family business; and wife's work in a family business or in a wage employment at home is more compatible with childcare activities. Both effects imply that holding constant other characteristics, a higher desired stock of children will be demanded. As expected, an increase in wife's predicted log earnings in home work had a negative effect on the demand for children. The effect was almost always significant. An increase in wife's productivity in the family business, as proxied by her predicted log earnings in the family business, increased the demand for children significantly. This usually is interpreted to be a result of entering a market activity which is compatible with childcare. Another possible explanation is that the price of children is lowered because if children work in the family business then their productive contributions subsidize their parents' consumption. Yet, without direct measures or proxies for these effects, it is not possible to distinguish between them. An increase in husband's predicted log earnings in wage employment had a significant negative effect on demand for children. This can be interpreted in 2 ways: if an interior solution exists for husband's allocation of time, then a

Testing the stability of travel expenditures in Nigeria

International Nuclear Information System (INIS)

Osula, D.O.A.; Adebisi, O.

2001-01-01

A report is presented on a study carried out to develop a functional form for travel money expenditure in a Nigerian setting, and test its stability against energy policy change, specifically the fuel price increase of October 1994. The Box-Cox transformation regression approach was adopted in the modelling exercise in order to evolve a data-defined functional form and ensure a more rational basis for the stability test. The results of the modelling exercise show that while statistically significant functional forms were estimated for the 'before' and 'after' fuel price increase periods, the functional forms estimated are not stable across the periods. Thus 'travel budget' is as yet not usable as a term for travel expenditures in Nigeria. The implication of this for travel demand modelling in Nigeria is that, at least till other evidences prove otherwise, there is as yet no basis for using the 'Universal Mechanism of Travel' model developed by Zahavi (The UMOT Project. Report No. DOT-RSPA-DPB-20-79-3; The UMOT Travel Model II Report No. DOT-RSPA-DPB-50-82-11). Of disposable income and total expenditure, the former has proved to be more appropriate for use as 'available money' for the estimation of travel expenditures in Nigeria in the 'before' energy policy change period, while total expenditure proved appropriate in the 'after' period. (author)

Guide to calculating transportation demand management benefits

Energy Technology Data Exchange (ETDEWEB)

Litman, T. [Victoria Transport Policy Institute, Victoria, BC (Canada)

1997-02-14

The full benefits of transportation demand management (TDM) programs were discussed. TDM includes several policies, programs and measures designed to change travel patterns. TDM programs include commute trip reductions, pricing policies, land use management strategies, and programs to support alternative modes of transportation such as public transit, carpooling, bicycling, walking and telecommuting. In addition to reduction in traffic congestion and reduction in air pollution, other impacts of TDM programs were also evaluated. The value of these impacts based on external cost savings was estimated. A list of documents, software and organizations which could be helpful for TDM planning and evaluation was provided. 34 refs., 14 tabs., 1 fig.

Writing Travel in the Anthropocene

DEFF Research Database (Denmark)

Graulund, Rune

2016-01-01

the Anthropocene - which is to say an age in which nowhere, not the furthest reachest of the stratosphere nor the lowest point in the marine abyss, are untouched by the activities and detritus of humankind. The essay will give a short overview of the manner in which the notion of 'travel' has been contested......Travel writing critics have proclaimed the end of travel since at least the beginning of the 20th Century. Yet the global age of the 21st century presents us with a range a problems that challenge the notion of travel in manners that neither travellers, travel writers, nor travel writing critics...... could have imagined just a century ago. Globalisation and increased mobility, whether it is that of the privileged few who can travel on holiday on jet airplanes, or that of the immigrant labourer seeking employment by crossing borders on foot, have meant millions (if not indeed billions) are constantly...

The young and active travellers' attitudes towards sustainable leisure tourism

OpenAIRE

Lindholm, Lauha

2016-01-01

This bachelor thesis studies the travellers’ attitudes towards sustainable tourism. Due to the size of the topic a limitation was made to specify in young and active travellers attitudes and moreover to focus on the leisure tourism. Sustainability is a hot topic in all fields of business but it is not yet a standard. Sustainable business is business that takes the future in notice. Considering the fast growth of the tourism industry, sustainable development will be necessary and needed. ...

Multi-faceted tourist travel decisions : a constraint-based conceptual framework to describe tourists' sequential choices of travel components

NARCIS (Netherlands)

Dellaert, Benedict; Ettema, D.F.; Lindh, Christer

This paper introduces a first step towards analyzing tourist travel choice in situations where tourists may: (i) temporally separate their choice of different components of the travel package, e.g. tourists may choose travel destination before accommodation, and (ii) face a structure of constraints

Reliability evaluation of microgrid considering incentive-based demand response

Science.gov (United States)

Huang, Ting-Cheng; Zhang, Yong-Jun

2017-07-01

Incentive-based demand response (IBDR) can guide customers to adjust their behaviour of electricity and curtail load actively. Meanwhile, distributed generation (DG) and energy storage system (ESS) can provide time for the implementation of IBDR. The paper focus on the reliability evaluation of microgrid considering IBDR. Firstly, the mechanism of IBDR and its impact on power supply reliability are analysed. Secondly, the IBDR dispatch model considering customer’s comprehensive assessment and the customer response model are developed. Thirdly, the reliability evaluation method considering IBDR based on Monte Carlo simulation is proposed. Finally, the validity of the above models and method is studied through numerical tests on modified RBTS Bus6 test system. Simulation results demonstrated that IBDR can improve the reliability of microgrid.

Road Short-Term Travel Time Prediction Method Based on Flow Spatial Distribution and the Relations

Directory of Open Access Journals (Sweden)

Mingjun Deng

2016-01-01

Full Text Available There are many short-term road travel time forecasting studies based on time series, but indeed, road travel time not only relies on the historical travel time series, but also depends on the road and its adjacent sections history flow. However, few studies have considered that. This paper is based on the correlation of flow spatial distribution and the road travel time series, applying nearest neighbor and nonparametric regression method to build a forecasting model. In aspect of spatial nearest neighbor search, three different space distances are defined. In addition, two forecasting functions are introduced: one combines the forecasting value by mean weight and the other uses the reciprocal of nearest neighbors distance as combined weight. Three different distances are applied in nearest neighbor search, which apply to the two forecasting functions. For travel time series, the nearest neighbor and nonparametric regression are applied too. Then minimizing forecast error variance is utilized as an objective to establish the combination model. The empirical results show that the combination model can improve the forecast performance obviously. Besides, the experimental results of the evaluation for the computational complexity show that the proposed method can satisfy the real-time requirement.

5 CFR 551.422 - Time spent traveling.

Science.gov (United States)

2010-01-01

... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Time spent traveling. 551.422 Section 551... Activities § 551.422 Time spent traveling. (a) Time spent traveling shall be considered hours of work if: (1... who is permitted to use an alternative mode of transportation, or an employee who travels at a time...

DEET, Active Substance Of Repellent That Effective And Safe For Travelers

Directory of Open Access Journals (Sweden)

Made Ika Lestari

2013-10-01

Full Text Available Normal 0 false false false EN-US X-NONE X-NONE Increased flow of tourism to the tropics and the changing patterns of vector-borne diseases require increased protection against insects. To prevent transmission of the disease is done several ways that increase self-protection by using mosquito repellent can protect travelers while outdoor activities. One option is active formula mosquito repellent DEET. The purpose of this paper is to determine the best dosage forms for travelers DEET., To determine the effectiveness and safety of DEET and to know the workings of the active ingredient DEET. The method of writing is the literature search through medical journals and articles. From the search was obtained, the most appropriate anti-mosquito travelers to use while on the move outdoors in the dosage form is DEET lotion applied to the skin as the most secure and durable because it does not easily evaporate. Mosquito repellent containing DEET has been proven effective and safe for use in adults, children, and pregnant women, but should still follow the instructions. The workings of the mosquito repellent DEET mosquito dispel is manipulating 1-Octen-3-ol used by mosquitoes to detect human presence. So ORN (olfactory receptor neurons in the mosquitoes can not respond anymore to the maximum, so that people avoid the bites nyamuk. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New

Communities on the move: Pedestrian-oriented zoning as a facilitator of adult active travel to work in the United States

Directory of Open Access Journals (Sweden)

Jamie Friedman Chriqui

2016-04-01

Full Text Available Background: Communities across the United States have been reforming their zoning codes to create pedestrian-friendly neighborhoods with increased street connectivity, mixed-use and higher density, open space, transportation infrastructure, and a traditional neighborhood structure. Zoning code reforms include new urbanist zoning such as the SmartCode, form-based codes, transects, transportation and pedestrian-oriented developments, and traditional neighborhood developments.Purpose: To examine the relationship of zoning code reforms and more active living-oriented zoning provisions with adult active travel to work via walking, biking, or by using public transit.Methods: Zoning codes effective as of 2010 were compiled for 3,914 municipal-level jurisdictions located in 471 counties and 2 consolidated cities in 48 states and the District of Columbia, and that collectively covered 72.9% of the U.S. population. Zoning codes were evaluated for the presence of code reform zoning and nine pedestrian-oriented zoning provisions (1=yes: sidewalks, crosswalks, bike-pedestrian connectivity, street connectivity, bike lanes, bike parking, bike-pedestrian trails/paths, mixed use development, and other walkability/pedestrian-orientation. A zoning scale reflected the number of provisions addressed (out of 10. Five continuous outcome measures were constructed using 2010-2014 American Community Survey municipal-level 5-year estimates to assess the percentage of workers: walking, biking, walking or biking, or taking public transit to work OR engaged in any active travel to work. Regression models controlled for municipal-level socioeconomic characteristics and a GIS-constructed walkability scale and were clustered on county with robust standard errors. Results: Adjusted models indicated that several pedestrian-oriented zoning provisions were statistically associated (p<.05 or lower with increased rates of walking, biking, or engaging in any active travel (walking

Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study

Directory of Open Access Journals (Sweden)

Jihui Ma

2017-01-01

Full Text Available In recent years, an innovative public transportation (PT mode known as the customized bus (CB has been proposed and implemented in many cities in China to efficiently and effectively shift private car users to PT to alleviate traffic congestion and traffic-related environmental pollution. The route network design activity plays an important role in the CB operation planning process because it serves as the basis for other operation planning activities, for example, timetable development, vehicle scheduling, and crew scheduling. In this paper, according to the demand characteristics and operational purpose, a methodological framework that includes the elements of large-scale travel demand data processing and analysis, hierarchical clustering-based route origin-destination (OD region division, route OD region pairing, and a route selection model is proposed for CB network design. Considering the operating cost and social benefits, a route selection model is proposed and a branch-and-bound-based solution method is developed. In addition, a computer-aided program is developed to analyze a real-world Beijing CB route network design problem. The results of the case study demonstrate that the current CB network of Beijing can be significantly improved, thus demonstrating the effectiveness of the proposed methodology.

Price Elasticity of Demand and Capacity-Restraint Transit Fare Strategy: A Case Study of Bangkok Mass Transit System

Directory of Open Access Journals (Sweden)

Ackchai Sirikijpanichkul

2015-01-01

Full Text Available Traffic congestion is a chronic problem of Bangkok. Similar to other metropolises, the city perpetually seeks for alternatives to road travel. Mass rapid transit seems to be the only way out that is expected to mitigate traffic congestion in the city. However, without common fare system, travelers need to pay an initial entrance fee every time they enter each transit system. This excess cost tapers the demand and affects the efficient use of the system. This research investigates the influence of fare price on transit use which is measured by price elasticity of demand and proposes the optimum fare price if the common fare is used. The analysis is based on the findings from the stated preference survey techniques. Finally, the conclusion on fare level that encourage more patronage, maintain service quality and operator revenue is addressed.

Travel opinion leaders and seekers

DEFF Research Database (Denmark)

Yoo, Kyung-Hyan; Gretzel, Ulrike; Zach, Florian

2011-01-01

While opinion leadership has been recognized as important in tourism, there has been very little empirical research investigating the phenomenon. Given new developments in social media technologies, it is especially important to understand whether travel opinion leadership and seeking are drivers...... of specific social media perceptions and behaviours. Based on an online survey of US online travellers, this paper seeks to identify travel opinion leaders and seekers and their characteristics. Further, the research conducted investigated linkages between travel opinion leadership/seeking and travel social...... media use. The findings suggest that travel opinion leadership and seeking are distinct but connected. Both opinion leaders and seekers are technology savvy, young, educated, involved in travel planning and engaged in social media use for travel. What distinguishes opinion leaders is their greater...

Multi-state supernetwork representation and location selection heuristics for two-person joint activity-travel problem

NARCIS (Netherlands)

Liao, F.; Arentze, Theo A.; Timmermans, Harry J P; Leng, Z.; Wang, Y.H.

2014-01-01

Joint travel and joint activity participation by multiple people are common mobility phenomena. The joint scheduling of activities, routes, modes and location choices is a challenging problem due to the explosion of the possible choice combinations. In a previous paper, the authors have suggested an

Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models

NARCIS (Netherlands)

Xianyu, J.; Rasouli, S.; Timmermans, H.J.P.

The use of GPS devices and smartphones has made feasible the collection of multi-day activity-travel diaries. In turn, the availability of multi-day travel diary data opens up new avenues for analyzing dynamics of individual travel behavior. This paper addresses the issue of day-to-day variability

Preferences for travel time variability – A study of Danish car drivers

DEFF Research Database (Denmark)

Hjorth, Katrine; Rich, Jeppe

Travel time variability (TTV) is a measure of the extent of unpredictability in travel times. It is generally accepted that TTV has a negative effect on travellers’ wellbeing and overall utility of travelling, and valuation of variability is an important issue in transport demand modelling...... preferences, to exclude non-traders, and to avoid complicated issues related to scheduled public transport services. The survey uses customised Internet questionnaires, containing a series of questions related to the traveller’s most recent morning trip to work, e.g.: • Travel time experienced on this day......, • Number of stops along the way, their duration, and whether these stops involved restrictions on time of day, • Restrictions regarding departure time from home or arrival time at work, • How often such a trip was made within the last month and the range of experienced travel times, • What the traveller...

Inferring High-Resolution Individual’s Activity and Trip Purposes with the Fusion of Social Media, Land Use and Connected Vehicle Trajectories

Science.gov (United States)

2017-11-30

Trip purpose is crucial to travel behavior modeling and travel demand estimation for transportation planning and investment decisions. However, the spatial-temporal complexity of human activities makes the prediction of trip purpose a challenging pro...

Demand and welfare effects in recreational travel models

DEFF Research Database (Denmark)

Hellström, Jörgen; Nordström, Leif Jonas

2012-01-01

for the households welfare loss. Approximatingthe welfare loss by the change in consumer surplus, accounting for the positiveeffect from longer stays, imposes a lower bound on the households welfare loss. The differencein the estimated loss measures, from the considered CO2 tax reform, is about 20%. Thisemphasizes......In this paper we present a non-linear demand system for households’ joint choice of numberof trips and days to spend at a destination. The approach, which facilitates welfare analysis of exogenous policy and price changes, is used empirically to study the effects of an increased CO2 tax...... the importance of accounting for substitutions toward longer stays in traveldemand policy evaluations....

The Development of Independent Travel in China in the Future and Travel Agents’ Coping Strategies

OpenAIRE

Pan, Yulu

2010-01-01

Abstract The purpose of this research is to understand the general trend of independent travel in China from tourists’ perspectives and what strategies travel agents should adopt to cope with the increased independent travel. This project is based on both primary research and secondary research. Quantitative and qualitative data are collected and analyzed for deeply exploration about independent travel in order to understand tourists’ attitudes, expectations and perspectives. By this w...

Estimating the Economic Value of Environmental Amenities of Isfahan Sofeh Highland Park (The Individual Revealed and Expressed Travel Cost Method

Directory of Open Access Journals (Sweden)

H. Amirnejad

2016-03-01

Full Text Available Introduction: Natural resources and the environment, such as mountains are considered public goods. The main features of these public goods are lack of market and price for exchange. This issue leads to a worthless impression about these goods, lack of effort for their conservation and preventing resource degradation. One of the major benefits of environmental resources, such as mountains, is their function as environmental amenities (for leisure and recreation. The estimation of their recreational worth is important as a part of the total value of such resources. In this context, the aim of this study is to estimate the economic value of environmental amenities of Sofeh Highland Park in Isfahan by individual travel cost method. Materials and Methods: Travel cost method is used for the evaluation of public goods or environmental non-market commodities. It is applied to a wide range of areas, including tourism values of lakes and wetlands, coral reefs, biodiversity and national parks, recreational fishing and mountaineering. The travel cost approach does not ask willingness to pay directly, but imputes it from the observed behavior of other visitors through an estimated demand function, which relates the number of observed trips to the incurred travel cost. Underpinning the travel cost method is for the estimation of the recreational demand function, from which consumer surplus estimates can be derived. Consumer surplus -the measure of non-market benefits to the visitors- is the difference between what the visitor would be (theoretically willing to pay to go the intended recreational location, and what they are actually required to pay. In this research, the individual travel cost method was used. For this purpose, a 290 item questionnaire with simple random sampling was filled by travelers in the area in 2013. Then the demand function of environmental amenities (tourism demand was estimated in two scenarios by using negative binomial regression

A travel cost analysis of nonconsumptive wildlife-associated recreation in the United States

Science.gov (United States)

William T. Zawacki; Allan Marsinko; J. Michael Bowker

2000-01-01

Increased emphasis on sustainable resource management in forestry has effectuated a demand for various nontimber values. Nonconsumptive wildlife recreation is an important nontimber service produced on forest and rangeland. Travel cost models and data from the 1991 National Survey of Fishing, Hunting and Wildlife-Associated Recreation are used to estimate the demand...

Testing the stability of travel expenditures in Nigeria

Energy Technology Data Exchange (ETDEWEB)

Osula, D.O.A.; Adebisi, O. [Ahmadu Bello University, Zaria (Nigeria). Department of Civil Engineering

2001-07-01

A report is presented on a study carried out to develop a functional form for travel money expenditure in a Nigerian setting, and test its stability against energy policy change, specifically the fuel price increase of October 1994. The Box-Cox transformation regression approach was adopted in the modelling exercise in order to evolve a data-defined functional form and ensure a more rational basis for the stability test. The results of the modelling exercise show that while statistically significant functional forms were estimated for the 'before' and 'after' fuel price increase periods, the functional forms estimated are not stable across the periods. Thus 'travel budget' is as yet not usable as a term for travel expenditures in Nigeria. The implication of this for travel demand modelling in Nigeria is that, at least till other evidences prove otherwise, there is as yet no basis for using the 'Universal Mechanism of Travel' model developed by Zahavi (The UMOT Project. Report No. DOT-RSPA-DPB-20-79-3; The UMOT Travel Model II Report No. DOT-RSPA-DPB-50-82-11). Of disposable income and total expenditure, the former has proved to be more appropriate for use as 'available money' for the estimation of travel expenditures in Nigeria in the 'before' energy policy change period, while total expenditure proved appropriate in the 'after' period. (author)

Travel-related health problems in Japanese travelers.

Science.gov (United States)

Mizuno, Yasutaka; Kudo, Koichiro

2009-09-01

Although the number of Japanese individuals traveling abroad has increased steadily, reaching approximately 17.3 million in 2007, the incidence of various travel-related health problems in Japan remains unknown. The travel-related health problems of Japanese travelers returning to Japan from abroad are analyzed by assessing the records. Data were collected retrospectively on returning travelers who visited the authors' travel clinic during the period from January 2005 through to December 2006 with any health problem acquired overseas. A total of 345 patients were included in this study (200 male, 145 female; average age, 34+/-12.3 years). Reasons for travel included leisure (45.8%); business (39.1%); visiting friends and relatives or accompanying other travelers (8.7%); volunteering (3.8%); and long stays in order to study or live (2.6%). The most visited destination was Asia (n=260), followed by Africa (n=105). The most commonly reported health problems were gastro-intestinal infections (39.1%), followed by respiratory tract infections (16.2%), animal bites (8.1%), and skin problems (5.8%). Together, malaria and dengue accounted for 10% of diagnoses in 125 febrile patients (36.2%). Although the profile of travel-related health problems in Japanese travelers is similar to that of Western travelers, the characteristics of travel were quite different. Therefore Japanese travel advice should be tailored to suit the Japanese traveler.

The contribution of travel-related urban zones, cycling and pedestrian networks and green space to commuting physical activity among adults - a cross-sectional population-based study using geographical information systems.

Science.gov (United States)

Mäki-Opas, Tomi E; Borodulin, Katja; Valkeinen, Heli; Stenholm, Sari; Kunst, Anton E; Abel, Thomas; Härkänen, Tommi; Kopperoinen, Leena; Itkonen, Pekka; Prättälä, Ritva; Karvonen, Sakari; Koskinen, Seppo

2016-08-11

The current political agenda aims to promote active environments and physical activity while commuting to work, but research on it has provided mixed results. This study examines whether the proximity of green space and people's residence in different travel-related urban zones contributes to commuting physical activity. Population-based cross-sectional health examination survey, Health 2011 study, and geographical information system (GIS) data were utilized. The GIS data on green space and travel-related urban zones were linked to the individuals of the Health 2011 study, based on their home geocoordinates. Commuting physical activity was self-reported. Logistic regression models were applied, and age, gender, education, leisure-time and occupational physical activity were adjusted. Analyses were limited to those of working age, living in the core-urban areas of Finland and having completed information on commuting physical activity (n = 2 098). Home location in a pedestrian zone of a main centre (odds ratio = 1.63; 95 % confidence interval = 1.06-2.51) or a pedestrian zone of a sub-centre (2.03; 1.09-3.80) and higher proportion of cycling and pedestrian networks (3.28; 1.71-6.31) contributed to higher levels of commuting physical activity. The contribution remained after adjusting for all the environmental attributes and individuals. Based on interaction analyses, women living in a public transport zone were almost two times more likely to be physically active while commuting compared to men. A high proportion of recreational green space contributed negatively to the levels of commuting physical activity (0.73; 0.57-0.94) after adjusting for several background factors. Based on interaction analyses, individuals aged from 44 to 54 years and living in sub-centres, men living in pedestrian zones of sub-centres, and those individuals who are physically inactive during leisure-time were less likely to be physically active while commuting. Good pedestrian

Demand response scheme based on lottery-like rebates

KAUST Repository

Schwartz, Galina A.; Tembine, Hamidou; Amin, Saurabh; Sastry, S. Shankar

2014-01-01

In this paper, we develop a novel mechanism for reducing volatility of residential demand for electricity. We construct a reward-based (rebate) mechanism that provides consumers with incentives to shift their demand to off-peak time. In contrast to most other mechanisms proposed in the literature, the key feature of our mechanism is its modest requirements on user preferences, i.e., it does not require exact knowledge of user responsiveness to rewards for shifting their demand from the peak to the off-peak time. Specifically, our mechanism utilizes a probabilistic reward structure for users who shift their demand to the off-peak time, and is robust to incomplete information about user demand and/or risk preferences. We approach the problem from the public good perspective, and demonstrate that the mechanism can be implemented via lottery-like schemes. Our mechanism permits to reduce the distribution losses, and thus improve efficiency of electricity distribution. Finally, the mechanism can be readily incorporated into the emerging demand response schemes (e.g., the time-of-day pricing, and critical peak pricing schemes), and has security and privacy-preserving properties.

Demand response scheme based on lottery-like rebates

KAUST Repository

Schwartz, Galina A.

2014-08-24

In this paper, we develop a novel mechanism for reducing volatility of residential demand for electricity. We construct a reward-based (rebate) mechanism that provides consumers with incentives to shift their demand to off-peak time. In contrast to most other mechanisms proposed in the literature, the key feature of our mechanism is its modest requirements on user preferences, i.e., it does not require exact knowledge of user responsiveness to rewards for shifting their demand from the peak to the off-peak time. Specifically, our mechanism utilizes a probabilistic reward structure for users who shift their demand to the off-peak time, and is robust to incomplete information about user demand and/or risk preferences. We approach the problem from the public good perspective, and demonstrate that the mechanism can be implemented via lottery-like schemes. Our mechanism permits to reduce the distribution losses, and thus improve efficiency of electricity distribution. Finally, the mechanism can be readily incorporated into the emerging demand response schemes (e.g., the time-of-day pricing, and critical peak pricing schemes), and has security and privacy-preserving properties.