WorldWideScience

Sample records for county roads

  1. Taos County Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Vector line shapefile under the stewardship of the Taos County Planning Department depicting roads in Taos County, New Mexico. Originally under the Emergency...

  2. Valencia County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and some...

  3. Grant County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and city...

  4. Sierra County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads including interstate highways, State highways, county roads and some city streets in...

  5. Curry County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Line attributes denoting all street centerlines in Curry County. Dataset includes all centerlines for all county maintained roads, all state and federal highways,and...

  6. De Baca County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads including interstate highways, State highways, county roads and city streets in DeBaca...

  7. Allegheny County-Owned Roads Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the roads owned by Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  8. Road and Street Centerlines, GPS collected roads down to the County maintained level, Published in 2007, Eureka County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , was produced all or in part from Field Survey/GPS information as of 2007. It is described as 'GPS collected roads down to the County maintained level'. Data by...

  9. Road infrastructure, spatial spillover and county economic growth

    Science.gov (United States)

    Hu, Zhenhua; Luo, Shuang

    2017-09-01

    This paper analyzes the spatial spillover effect of road infrastructure on the economic growth of poverty-stricken counties, based on the spatial Durbin model, by using the panel data of 37 poor counties in Hunan province from 2006 to 2015. The results showed that there is a significant spatial dependence of economic growth in Poor Counties. Road infrastructure has a positive impact on economic growth, and the results will be overestimated without considering spatial factors. Considering the spatial factors, the road infrastructure will promote the economic growth of the surrounding areas through the spillover effect, but the spillover effect is restricted by the distance factor. Capital investment is the biggest factor of economic growth in poor counties, followed by urbanization, labor force and regional openness.

  10. Pattern of road traffic injuries in Lublin County, Poland.

    Science.gov (United States)

    Goniewicz, Mariusz; Nogalski, Adam; Khayesi, Meleckidzedeck; Lübek, Tomasz; Zuchora, Beata; Goniewicz, Krzysztof; Miśkiewicz, Paulina

    2012-06-01

    Road traffic injury patients admitted to 35 hospitals in Lublin region. To describe the pattern of road traffic injuries in Lublin county, Poland. Review of medical records for the period from January 2004 to December 2005. Pedestrians accounted for the largest share of the Road traffic crash (RTC) injury cases (35.8%) and 46.4% of deaths. The highest mortality was observed in motorcycle occupants (7.1%) and victims with abdominal injuries (9.8%). Vulnerable road users represented 71.4% of all RTC deaths, with mortality 5.8%. Early transfers accounted for 82.5% of cases. Mortality in early transfers is 4 times higher than in late transfers. Poland ranks as one of the worst European countries in terms of severity and fatal outcomes of road traffic injuries. Groups of road users in Poland at the highest risk are pedestrians, cyclists, children and young male drivers. The highest mortality rate occurs among road users affected by multiple trauma and head/vertebral column injuries. Alleviation of consequences of road traffic injuries in Poland may be achieved by coordinated efforts and collective responsibility of government, central level agencies, rescue team members and community groups.

  11. 76 FR 2112 - Peach Orchard Road Groundwater Plume Site, Augusta, Richmond County, GA; Notice of Settlement

    Science.gov (United States)

    2011-01-12

    ... AGENCY Peach Orchard Road Groundwater Plume Site, Augusta, Richmond County, GA; Notice of Settlement... costs concerning the Peach Orchard Road Groundwater Plume Site located in Augusta, Richmond County... Site name Peach Orchard Road Groundwater Plume Superfund Site by one of the following methods: http...

  12. Road and Street Centerlines, Effingham County Road, Published in 2010, 1:600 (1in=50ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:600 (1in=50ft) scale, was produced all or in part from Field Survey/GPS information as of 2010. It is described as 'Effingham County Road'. Data by...

  13. Road and Street Centerlines, County and City Roads that are maintained to some degree, Published in 2008, 1:4800 (1in=400ft) scale, Phillips County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:4800 (1in=400ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described as 'County and City Roads that are...

  14. Road and Street Centerlines, Roads in Thomas County, GA, Published in 2010, 1:4800 (1in=400ft) scale, Thomas County BOC.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:4800 (1in=400ft) scale, was produced all or in part from Hardcopy Maps information as of 2010. It is described as 'Roads in Thomas County, GA'. Data...

  15. 81 FR 23746 - Temporary Road Closure on Public Lands in Owyhee County, ID

    Science.gov (United States)

    2016-04-22

    ... Bureau of Land Management Temporary Road Closure on Public Lands in Owyhee County, ID AGENCY: Bureau of... 1-mile road segment that crosses public lands located in Owyhee County, Idaho, approximately 5 miles... the Owyhee Field Office, 20 First Avenue West, Marsing, Idaho, 83639. National Environmental...

  16. 77 FR 8255 - Constitution Road Drum Superfund Site, Atlanta, Dekalb County, GA; Notice of Settlement

    Science.gov (United States)

    2012-02-14

    ... AGENCY Constitution Road Drum Superfund Site, Atlanta, Dekalb County, GA; Notice of Settlement AGENCY... entered into a settlement for past response costs concerning the Constitution Road Drum Superfund Site... available from Ms. Paula V. Painter. Submit your comments by Site name Constitution Road Drum Superfund...

  17. 77 FR 2981 - Constitution Road Drum Superfund Site; Atlanta, Dekalb County, GA; Notice of Settlement

    Science.gov (United States)

    2012-01-20

    ... AGENCY Constitution Road Drum Superfund Site; Atlanta, Dekalb County, GA; Notice of Settlement AGENCY... Protection Agency has entered into a settlement for past response costs concerning the Constitution Road Drum... settlement are available from Ms. Paula V. Painter. Submit your comments by Site name Constitution Road...

  18. Road and Street Centerlines, Centerlines for all federal, state, county, town and private roads used for addressing in Washburn County were digitized from 1998 Othophotos. This dataset is used to assist county addressing efforts, land use planning activities and general map productio, Published in 2006, 1:4800 (1in=400ft) scale, Washburn County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Road and Street Centerlines dataset current as of 2006. Centerlines for all federal, state, county, town and private roads used for addressing in Washburn County...

  19. Road and Street Centerlines, Road centerlines for Newton County, Georgia, Published in 2007, 1:12000 (1in=1000ft) scale, Northeast Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:12000 (1in=1000ft) scale as of 2007. It is described as 'Road centerlines for Newton County, Georgia'. Data by this publisher are often provided in...

  20. Road and Street Centerlines, Road centerlines for Madison County, Georgia, Published in 2000, 1:12000 (1in=1000ft) scale, Northeast Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:12000 (1in=1000ft) scale as of 2000. It is described as 'Road centerlines for Madison County, Georgia'. Data by this publisher are often provided in...

  1. Road and Street Centerlines, Roads in Pierce County, GA, Published in 2010, 1:7200 (1in=600ft) scale, Southern Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:7200 (1in=600ft) scale, was produced all or in part from Hardcopy Maps information as of 2010. It is described as 'Roads in Pierce County, GA'. Data...

  2. Road and Street Centerlines, Meriwether County, Georgia Roads Map, Published in 2006, 1:9600 (1in=800ft) scale, Chattahoochee-Flint Regional Development.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:9600 (1in=800ft) scale, was produced all or in part from Hardcopy Maps information as of 2006. It is described as 'Meriwether County, Georgia Roads...

  3. Road and Street Centerlines, Road centerlines for Jackson County, Georgia, Published in 2008, 1:24000 (1in=2000ft) scale, Northeast Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as 'Road centerlines for Jackson County,...

  4. Road and Street Centerlines, Roads in Coffee County, GA, Published in 2010, 1:7200 (1in=600ft) scale, Southern Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:7200 (1in=600ft) scale, was produced all or in part from Hardcopy Maps information as of 2010. It is described as 'Roads in Coffee County, GA'....

  5. Road and Street Centerlines, Road centerlines for Oconee County, Georgia, Published in 2005, 1:24000 (1in=2000ft) scale, Northeast Georgia Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'Road centerlines for Oconee County,...

  6. Road and Street Centerlines, Troup County, Georgia Roads UTM - NAD 83, Published in 2005, 1:12000 (1in=1000ft) scale, Chattahoochee-Flint Regional Development.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:12000 (1in=1000ft) scale, was produced all or in part from Field Survey/GPS information as of 2005. It is described as 'Troup County, Georgia Roads...

  7. Road and Street Centerlines, Buffalo County, WI road centerline file conflated with DOT WISLR attributes and updated continually based on survey plats, Published in 2002, 1:600 (1in=50ft) scale, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:600 (1in=50ft) scale, was produced all or in part from Orthoimagery information as of 2002. It is described as 'Buffalo County, WI road centerline...

  8. Road Maintenance Districts, Road Maintenace by General County, County Maintenance District, or City Maintenance, Published in 2009, 1:4800 (1in=400ft) scale, Phillips County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Other information as of 2009. It is described as...

  9. WINE ROAD - AN INSTRUMENT FOR THE VALORISATION OF WINE TOURISM POTENTIAL CASE STUDY: ALBA COUNTY VINEYARDS

    Directory of Open Access Journals (Sweden)

    UNGUREANU Mihaela

    2015-12-01

    Full Text Available The main aim of this study is to highlight the wine-growing and wine-making potential of Alba County and the way it can be valorised. Alba county has a rich winegrowing and wine-making heritage, a fact which is due to the long-standing tradition of winegrowing on these area, as well as to the characteristics of the natural factors (relief, geology, climate, soil, favourable for obtaining high-quality wines, the reputation of which has been acquired at national and international competitions. In order to render useful the wine tourism resources, the development of a specific infrastructure is needed, as well as the creation of complex tourist products, able to satisfy a wide range of tourist motivations. An efficient instrument to make productive the wine potential of a region is the „Wine Road" – a tourist trail which includes the tourist attractions of a delimited area, usually with a controlled designation of origin, and also a diverse range of tourist services (transportation, accommodation, catering leisure etc.. In Alba County, the „Wine Road" can be considered as a tourist attraction in itself, but also a means of harnessing the rich cultural-historical and natural heritage and, implicitly, the wine-growing and wine-making heritage.

  10. Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs.

    Science.gov (United States)

    Patterson, Lauren A; Maloney, Kelly O

    2016-10-01

    Pennsylvania's rapid unconventional oil and gas (UOG) development-from a single well in 2004 to more than 6700 wells in 2013-has dramatically increased UOG waste transport by heavy trucks. This study quantified the amount of UOG waste and the distance it traveled between wells and disposal facilities on each type of road in each county between July 2010 and December 2013. In addition, the study estimated the associated financial costs to each county's road infrastructure over that period. We found that UOG wells produced a median wastewater volume of 1294 m(3) and a median of 89,267 kg of solid waste. The median number of waste-transport truck trips per well was 122. UOG wells existed in 38 Pennsylvania counties, but we estimated trucks transporting well waste traveled through 132 counties, including counties in West Virginia, Ohio, and New York. Median travel distance varied by disposal type, from 106 km to centralized treatment facilities up to 237 km to injection wells. Local roads experienced the greatest amount of truck traffic and associated costs ($1.1-6.5 M) and interstates, the least ($0.3-1.6 M). Counties with oil and gas development experienced the most truck traffic and incurred the highest associated roadway costs. However, many counties outside the active development area also incurred roadway repair costs, highlighting the extension of UOG development's spatial footprint beyond the active development area. An online data visualization tool is available here: www.nicholasinstitute.duke.edu/transportation-of-hydraulic-fracturing-waste.

  11. Road Interchanges, Road shapefile, Published in 2008, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Interchanges dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described as 'Road...

  12. Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs

    Science.gov (United States)

    Patterson, Lauren A.; Maloney, Kelly O.

    2016-01-01

    Pennsylvania’s rapid unconventional oil and gas (UOG) development—from a single well in 2004 to more than 6700 wells in 2013—has dramatically increased UOG waste transport by heavy trucks. This study quantified the amount of UOG waste and the distance it traveled between wells and disposal facilities on each type of road in each county between July 2010 and December 2013. In addition, the study estimated the associated financial costs to each county’s road infrastructure over that period. We found that UOG wells produced a median wastewater volume of 1294 m3 and a median of 89,267 kg of solid waste. The median number of waste-transport truck trips per well was 122. UOG wells existed in 38 Pennsylvania counties, but we estimated trucks transporting well waste traveled through 132 counties, including counties in West Virginia, Ohio, and New York. Median travel distance varied by disposal type, from 106 km to centralized treatment facilities up to 237 km to injection wells. Local roads experienced the greatest amount of truck traffic and associated costs ($1.1–6.5 M) and interstates, the least ($0.3–1.6 M). Counties with oil and gas development experienced the most truck traffic and incurred the highest associated roadway costs. However, many counties outside the active development area also incurred roadway repair costs, highlighting the extension of UOG development’s spatial footprint beyond the active development area. An online data visualization tool is available here: www.nicholasinstitute.duke.edu/transportation-of-hydraulic-fracturing-waste.

  13. Kirschenmann Road multi-well monitoring site, Cuyama Valley, Santa Barbara County, California

    Science.gov (United States)

    Everett, R.R.; Hanson, R.T.; Sweetkind, D.S.

    2011-01-01

    The U.S. Geological Survey (USGS), in cooperation with the Water Agency Division of the Santa Barbara County Department of Public Works, is evaluating the geohydrology and water availability of the Cuyama Valley, California (fig. 1). As part of this evaluation, the USGS installed the Cuyama Valley Kirschenmann Road multiple-well monitoring site (CVKR) in the South-Main subregion of the Cuyama Valley (fig. 1). The CVKR well site is designed to allow for the collection of depth-specific water-level and water-quality data. Data collected at this site provides information about the geology, hydrology, geophysics, and geochemistry of the local aquifer system, thus, enhancing the understanding of the geohydrologic framework of the Cuyama Valley. This report presents the construction information and initial geohydrologic data collected from the CVKR monitoring site, along with a brief comparison to selected supply and irrigation wells from the major subregions of the Cuyama Valley (fig. 1).

  14. Modeling of road traffic noise and estimated human exposure in Fulton County, Georgia, USA.

    Science.gov (United States)

    Seong, Jeong C; Park, Tae H; Ko, Joon H; Chang, Seo I; Kim, Minho; Holt, James B; Mehdi, Mohammed R

    2011-11-01

    Environmental noise is a major source of public complaints. Noise in the community causes physical and socio-economic effects and has been shown to be related to adverse health impacts. Noise, however, has not been actively researched in the United States compared with the European Union countries in recent years. In this research, we aimed at modeling road traffic noise and analyzing human exposure in Fulton County, Georgia, United States. We modeled road traffic noise levels using the United States Department of Transportation Federal Highway Administration Traffic Noise Model implemented in SoundPLAN®. After analyzing noise levels with raster, vector and façade maps, we estimated human exposure to high noise levels. Accurate digital elevation models and building heights were derived from Light Detection And Ranging survey datasets and building footprint boundaries. Traffic datasets were collected from the Georgia Department of Transportation and the Atlanta Regional Commission. Noise level simulation was performed with 62 computers in a distributed computing environment. Finally, the noise-exposed population was calculated using geographic information system techniques. Results show that 48% of the total county population [N=870,166 residents] is potentially exposed to 55 dB(A) or higher noise levels during daytime. About 9% of the population is potentially exposed to 67 dB(A) or higher noises. At nighttime, 32% of the population is expected to be exposed to noise levels higher than 50 dB(A). This research shows that large-scale traffic noise estimation is possible with the help of various organizations. We believe that this research is a significant stepping stone for analyzing community health associated with noise exposures in the United States.

  15. Arterial roads and area socioeconomic status are predictors of fast food restaurant density in King County, WA

    Directory of Open Access Journals (Sweden)

    Streichert Laura C

    2009-07-01

    Full Text Available Abstract Background Fast food restaurants reportedly target specific populations by locating in lower-income and in minority neighborhoods. Physical proximity to fast food restaurants has been associated with higher obesity rates. Objective To examine possible associations, at the census tract level, between area demographics, arterial road density, and fast food restaurant density in King County, WA, USA. Methods Data on median household incomes, property values, and race/ethnicity were obtained from King County and from US Census data. Fast food restaurant addresses were obtained from Public Health-Seattle & King County and were geocoded. Fast food density was expressed per tract unit area and per capita. Arterial road density was a measure of vehicular and pedestrian access. Multivariate logistic regression models containing both socioeconomic status and road density were used in data analyses. Results Over one half (53.1% of King County census tracts had at least one fast food restaurant. Mean network distance from dwelling units to a fast food restaurant countywide was 1.40 km, and 1.07 km for census tracts containing at least one fast food restaurant. Fast food restaurant density was significantly associated in regression models with low median household income (p Conclusion No significant association was observed between census tract minority status and fast food density in King County. Although restaurant density was linked to low household incomes, that effect was attenuated by arterial road density. Fast food restaurants in King County are more likely to be located in lower income neighborhoods and higher traffic areas.

  16. Road and Street Centerlines, MFRDC has road data for Dooly, Crisp, Macon, Taylor, Schley, Marion and Webster counties., Published in 2008, 1:1200 (1in=100ft) scale, Middle Flint RDC.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:1200 (1in=100ft) scale as of 2008. It is described as 'MFRDC has road data for Dooly, Crisp, Macon, Taylor, Schley, Marion and Webster counties.'....

  17. Roads

    Data.gov (United States)

    National Park Service, Department of the Interior — This dataset shows the roads within and near Delaware Water Gap NRA taken from 1:4800 scale mapping that was done for the original land acquisition period (1967)...

  18. Flow monitoring along the western Tamiami Trail between County Road 92 and State Road 29 in support of the Comprehensive Everglades Restoration Plan, 2007-2010

    Science.gov (United States)

    Booth, Amanda C.; Soderqvist, Lars E.; Berry, Marcia C.

    2014-01-01

    The construction of U.S. Highway 41 (Tamiami Trail), the Southern Golden Gate Estates development, and the Barron River Canal has altered the flow of freshwater to the Ten Thousand Islands estuary of Southwest Florida. Two restoration projects, the Picayune Strand Restoration Project and the Tamiami Trail Culverts Project, both associated with the Comprehensive Everglades Restoration Plan, were initiated to address this issue. Quantifying the flow of freshwater to the estuary is essential to assessing the effectiveness of these projects. The U.S. Geological Survey conducted a study between March 2006 and September 2010 to quantify the freshwater flowing under theTamiami Trail between County Road 92 and State Road 29 in southwest Florida, excluding the Faka Union Canal (which is monitored by South Florida Water Management District). The study period was after the completion of the Tamiami Trail Culverts Project and prior to most of the construction related to the Picayune Restoration Project. The section of the Tamiami Trail that was studied contains too many structures (35 bridges and 16 culverts) to cost-effectively measure each structure on a continuous basis, so the area was divided into seven subbasins. One bridge within each of the subbasins was instrumented with an acoustic Doppler velocity meter. The index velocity method was used to compute discharge at the seven instrumented bridges. Periodic discharge measurements were made at all structures, using acoustic Doppler current profilers at bridges and acoustic Doppler velocity meters at culverts. Continuous daily mean values of discharge for the uninstrumented structures were calculated on the basis of relations between the measured discharge at the uninstrumented stations and the discharge and stage at the instrumented bridge. Estimates of daily mean discharge are available beginning in 2006 or 2007 through September 2010 for all structures. Subbasin comparison is limited to water years 2008–2010. The Faka

  19. Road and Street Centerlines, Iron roads, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as 'Iron roads'. The extent of these data...

  20. Road and Street Centerlines, iron roads, Published in 2006, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2006. It is described as 'iron roads'. The extent of these data...

  1. Road and Street Centerlines, 1400S road, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as '1400S road'. The extent of these data...

  2. Road and Street Centerlines, Brian Head Roads, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as 'Brian Head Roads'. The extent of these...

  3. Road and Street Centerlines, ROAD, Published in 2006, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2006. It is described as 'ROAD'. The extent of these data is...

  4. Road and Street Centerlines, Master roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'Master roads'. The extent of these...

  5. Road and Street Centerlines, roads - Parowan, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'roads - Parowan'. The extent of these...

  6. Road and Street Centerlines, iron roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'iron roads'. The extent of these data...

  7. Road and Street Centerlines, 2005 roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as '2005 roads'. The extent of these data...

  8. Road and Street Centerlines, Surveyed Access Road, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as 'Surveyed Access Road'. The extent of...

  9. Road and Street Centerlines, AGRC roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'AGRC roads'. The extent of these data...

  10. Road and Street Centerlines, Local roads, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as 'Local roads'. The extent of these data...

  11. Road and Street Centerlines, 24k roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as '24k roads'. The extent of these data...

  12. Road and Street Centerlines, Roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'Roads'. The extent of these data is...

  13. Road and Street Centerlines, 2006 roads, Published in 2006, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2006. It is described as '2006 roads'. The extent of these data...

  14. Road and Street Centerlines, GPS roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'GPS roads'. The extent of these data...

  15. Road and Street Centerlines, Roads, Published in 2000, 1:12000 (1in=1000ft) scale, Lucas County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:12000 (1in=1000ft) scale, was produced all or in part from Orthoimagery information as of 2000. It is described as 'Roads'. Data by this publisher...

  16. Road Maintenance Districts, Road district polygon layer., Published in 2004, 1:4800 (1in=400ft) scale, Reno County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Published Reports/Deeds information as of 2004. It...

  17. Road and Street Centerlines, 2007 roads, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as '2007 roads'. The extent of these data...

  18. Road and Street Centerlines, Cedar Roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'Cedar Roads'. The extent of these data...

  19. Road and Street Centerlines, New Roads, Published in 2008, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as 'New Roads'. The extent of these data is...

  20. Road and Street Centerlines, blue stakes roads, Published in 2006, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2006. It is described as 'blue stakes roads'. The extent of these...

  1. Road Maintenance Districts, road construction, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  2. Road and Street Centerlines, gas b roads, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2009. It is described as 'gas b roads'. Data by this publisher...

  3. Road and Street Centerlines, class b roads, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2009. It is described as 'class b roads'. Data by this publisher...

  4. Road and Street Centerlines, Cedar Area roads, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'Cedar Area roads'. The extent of these...

  5. Road and Street Centerlines, road- Parowan, Published in 2005, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2005. It is described as 'road- Parowan'. The extent of these...

  6. Road and Street Centerlines, Roads, Published in 2008, 1:4800 (1in=400ft) scale, Norton County Appraisal Office.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:4800 (1in=400ft) scale, was produced all or in part from Hardcopy Maps information as of 2008. It is described as 'Roads'. Data by this publisher...

  7. Road Bridges and Culverts, Road Bridges point, lines, polygons in Iredell County, NC, Published in 2005, 1:2400 (1in=200ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2005. It is described...

  8. Environmental assessment for the transfer of the DP Road tract to the County of Los Alamos. Final document

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-23

    The purpose of an Environmental Assessment (EA) is to provide the DOE with sufficient evidence and analysis to determine whether to prepare an Environmental Impact Statement (EIS) or a Finding of No Significant Impact (FONSI). Additional considerations (such as costs, timing, or non-environmental legal issues) that influence DOE decisions are not analyzed in this EA. As part of its initiative to fulfill its responsibilities to provide support for the County of Los Alamos (the County), in northern New Mexico, the US Department of Energy (DOE) proposes to transfer ownership of the undeveloped, so called, DP Road property to the County. Transfer of this tract would permanently reduce the size of Los Alamos National Laboratory (LANL) by approximately 0.1%. Approximately 12 hectares (28 acres) would be changed from an undeveloped to a developed status. This would result in an equivalent loss of wildlife habitat. A hypothetical accident was analyzed that evaluated potential radiological dose to the public at the DP Road tract from LANL operations. The dose to the hypothetical worker population of 450 new employees could result in an increase of approximately three latent cancer fatalities in the population. The DOE finds that there would be no significant impact from proceeding with the transfer of the 28-acre tract for development and use as a business park or for light industrial purposes.

  9. Environmental assessment for the transfer of the DP Road tract to the County of Los Alamos. Final document

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-23

    The purpose of an Environmental Assessment (EA) is to provide the DOE with sufficient evidence and analysis to determine whether to prepare an Environmental Impact Statement (EIS) or a Finding of No Significant Impact (FONSI). Additional considerations (such as costs, timing, or non-environmental legal issues) that influence DOE decisions are not analyzed in this EA. As part of its initiative to fulfill its responsibilities to provide support for the County of Los Alamos (the County), in northern New Mexico, the US Department of Energy (DOE) proposes to transfer ownership of the undeveloped, so called, DP Road property to the County. Transfer of this tract would permanently reduce the size of Los Alamos National Laboratory (LANL) by approximately 0.1%. Approximately 12 hectares (28 acres) would be changed from an undeveloped to a developed status. This would result in an equivalent loss of wildlife habitat. A hypothetical accident was analyzed that evaluated potential radiological dose to the public at the DP Road tract from LANL operations. The dose to the hypothetical worker population of 450 new employees could result in an increase of approximately three latent cancer fatalities in the population. The DOE finds that there would be no significant impact from proceeding with the transfer of the 28-acre tract for development and use as a business park or for light industrial purposes.

  10. Signs of Suicide: Using Road Drawings with Inmates on Suicide Observation at a County Jail

    Science.gov (United States)

    Hanes, Michael J.

    2008-01-01

    Suicide is a leading cause of death in jails. This article discusses the use of road drawings as part of a clinical interview by an art therapist to evaluate an inmate's risk for self-harm. Following an overview of suicide in correctional settings, the rationale and procedure for administering road drawings are explained. Examples produced by…

  11. Trails, RS2477, UnimprovedRoad, Published in 2005, Millard County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, was produced all or in part from Other information as of 2005. It is described as 'UnimprovedRoad'. Data by this publisher are often...

  12. Trails, RS2477, B-Roads83, Published in 2006, Duchesne County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, was produced all or in part from Other information as of 2006. It is described as 'B-Roads83'. Data by this publisher are often provided...

  13. Trails, RS2477, B-Roads83, Published in 2008, Duchesne County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, was produced all or in part from Other information as of 2008. It is described as 'B-Roads83'. Data by this publisher are often provided...

  14. Trails, RS2477, UnimprovedRoadPictures, Published in 2004, Millard County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, was produced all or in part from Other information as of 2004. It is described as 'UnimprovedRoadPictures'. Data by this publisher are...

  15. Road Interchanges, Published in 2008, 1:1200 (1in=100ft) scale, Brown County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Interchanges dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2008. Data by this...

  16. Road Bridges and Culverts, 2006 2' contours; autocad dwg, Published in unknown, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset as of unknown. It is described as '2006 2' contours; autocad dwg'. Data by this publisher are often provided in State Plane...

  17. Along Freedom Road. Hyde County, North Carolina and the Fate of Black Schools in the South.

    Science.gov (United States)

    Cecelski, David S.

    The 1968-69 school boycott in Hyde County (North Carolina) was one of the most sustained and successful protests of the civil rights movement. For a year, the county's black citizens refused to send their children to school in protest of a desegregation plan that required closing two historically black schools in their remote coastal community.…

  18. DuPage County, Ill., makes federal case to extend road through national lab.

    CERN Multimedia

    Meyer, H G

    2003-01-01

    DuPage County officials have submitted plans to extend a highway through the Fermi National Accelerator Laboratory. Citing a need for more north-south options along the county's western edge, the officials proposed a four-lane roadway including a new 5.5-mile segment curving through the national particle physics research laboratory (1 page).

  19. GPS Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a 1:100,000 scale vector digital representation of all interstate highways, all US highways, most of the state highways, and some county roads...

  20. Road Maintenance Districts, Road maintenance including surface, condition and responsible agency for all roads in Dickinson County, Published in 2009, 1:2400 (1in=200ft) scale, Dickinson County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Other information as of 2009. It is described as...

  1. Cone penetration tests and soil borings at the Mason Road site in Green Valley, Solano County, California

    Science.gov (United States)

    Bennett, Michael J.; Noce, Thomas E.; Lienkaemper, James J.

    2011-01-01

    In support of a study to investigate the history of the Green Valley Fault, 13 cone penetration test soundings and 3 auger borings were made at the Mason Road site in Green Valley, Solano County, California. Three borings were made at or near two of the cone penetration test soundings. The soils are mostly clayey with a few sandy layers or lenses. Fine-grained soils range from low plasticity sandy lean clay to very plastic fat clay. Lack of stratigraphic correlation in the subsurface prevented us from determining whether any channels had been offset at this site. Because the soils are generally very clayey and few sand layers or lenses are loose, the liquefaction potential at the site is very low.

  2. The Road to Change? A Case Study Examining Educational Reform in Sibiu County, Romania

    Science.gov (United States)

    Tucker, Stan; Trotman, Dave; Rusu, Horatiu; Mara, Daniel

    2014-01-01

    This article examines processes of educational reform and change in a post-Communist Eastern European country. Focusing on the experiences and challenges facing one geographical community in Sibiu County, Romania, an attempt is made to understand some of the macro and micro factors, influences and external policy drivers, shaping the organization…

  3. Paleoseismic investigations of Stagecoach Road fault, southeastern Yucca Mountain, Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Menges, C.M.; Oswald, J.A.; Coe, J.A.; Lundstrom, S.C.; Paces, J.B.; Mahan, S.A.; Widmann, B.; Murray, M.

    1998-04-01

    This report summarizes the results of paleoseismic investigations at two trenches (SCR-T1 and SCR-T3) excavated across the Stagecoach Road (SCR) fault at the southeastern margin of Yucca Mountain. The results of these studies are based on detailed mapping or logging of geologic and structural relationships exposed in trench walls, combined with descriptions of lithologic units, associated soils, and fault-related deformation. The ages of trench deposits are determined directly from geochronologic dating of selected units and soils, supplemented by stratigraphic and soil correlations with other surficial deposits in the Yucca Mountain area. The time boundaries used in this report for subdivision of the Quaternary period are listed in a table. These data and interpretations are used to identify the number, amounts, timing, and approximately lengths of late to middle Quaternary (less than 200 ka) surface-faulting events associated with paleoearthquakes at the trench sites. This displacement history forms the basis for calculating paleoearthquake recurrence intervals and fault-slip rates for the Stagecoach Road fault and allows comparison with fault behavior on other Quaternary faults at or near Yucca Mountain.

  4. An analysis of the spatiotemporal distribution of American cutaneous leishmaniasis in counties located along road and railway corridors in the State of Maranhao, Brazil

    Directory of Open Access Journals (Sweden)

    Vicente Silva Goncalves Neto

    2013-06-01

    Full Text Available Introduction The incidence of American cutaneous leishmaniasis (ACL is increasing in Latin America, especially in Brazil, where 256,587 cases were confirmed in the last decade. Methods This study used a Bayesian model to examine the spatial and temporal distribution of ACL cases between 2000 and 2009 in 61 counties of State of Maranhão located along the three main road and railway corridors. Results During the study period, 13,818 cases of ACL were recorded. There was a significant decrease in the incidence of ACL in the ten study years. The recorded incidence rate ranged from 7.36 to 241.45 per 100,000 inhabitants. The relative risk increased in 77% of the counties, decreased in 18% and was maintained in only five counties. Conclusions Although there was a decreased incidence of the disease, ACL was present in all of the examined municipalities, thus maintaining the risk of contracting this illness.

  5. Road and Street Centerlines - COUNTY_STREET_CENTERLINES_IDHS_IN: Street Centerlines Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Line Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COUNTY_STREET_CENTERLINES_IDHS_IN is a line shapefile that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  6. Road and Street Centerlines - COUNTY_STREET_CENTERLINES_IDHS_IN: Street Centerlines Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Line Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COUNTY_STREET_CENTERLINES_IDHS_IN is a line feature class that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  7. Road and Street Centerlines - COUNTY_STREET_CENTERLINES_IDHS_IN: Street Centerlines Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Line Shapefile)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_STREET_CENTERLINES_IDHS_IN is a line feature class that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  8. Road and Street Centerlines, Lafayette Road Centerlines, Published in 2005, 1:12000 (1in=1000ft) scale, Lafayette County Land Records.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:12000 (1in=1000ft) scale, was produced all or in part from Orthoimagery information as of 2005. It is described as 'Lafayette Road Centerlines'....

  9. Road and Street Centerlines, Beryl Junction B roads, Published in 2006, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2006. It is described as 'Beryl Junction B roads'. The extent of...

  10. Road and Street Centerlines, h143 major roads, Published in 2007, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2007. It is described as 'h143 major roads'. The extent of these...

  11. Road and Street Centerlines, Countywide road centerline file, Published in 2008, 1:600 (1in=50ft) scale, Sheridan County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:600 (1in=50ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described as 'Countywide road centerline file'....

  12. Road and Street Centerlines, Road Centerlines, Published in 2002, 1:7200 (1in=600ft) scale, Marinette County Land Information Dept.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:7200 (1in=600ft) scale, was produced all or in part from Orthoimagery information as of 2002. It is described as 'Road Centerlines'. Data by this...

  13. Road Bridges and Culverts, Points documenting bridge class, road carry, and intersecting feature, Published in 2010, 1:1200 (1in=100ft) scale, Allegany County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2010. It is described...

  14. Road Bridges and Culverts, Lyon County Bridges, Published in 2010, 1:4800 (1in=400ft) scale, City of Emporia/Lyon County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Hardcopy Maps information as of 2010. It is described...

  15. Road Bridges and Culverts, County Maintained Bridges, Published in 2010, 1:1200 (1in=100ft) scale, Lumpkin County, GA.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2010. It is described...

  16. Road Edge of Pavement, Road Edge of Pavement in Iredell County, NC from 2005 Orthophotography, Published in 2005, 1:2400 (1in=200ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Edge of Pavement dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2005. It is described as...

  17. Mile Markers and Road Signs, Signs layer created for all signs in rural Scott County that are maintained by the Secondary Roads Dept., Published in 2011, 1:1200 (1in=100ft) scale, Scott County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Mile Markers and Road Signs dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Field Survey/GPS information as of 2011. It is...

  18. Road and Street Centerlines, Separate street centerline files for eleven counties. Data is obtained from the counties., Published in 2007, NC Dept of Commerce - DCA.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , was produced all or in part from Other information as of 2007. It is described as 'Separate street centerline files for eleven counties. Data is obtained from the...

  19. Road and Street Centerlines, St. Mary's County Centerlines, Published in 2002, 1:600 (1in=50ft) scale, St Mary's County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:600 (1in=50ft) scale, was produced all or in part from Orthoimagery information as of 2002. It is described as 'St. Mary's County Centerlines'. Data...

  20. Road and Street Centerlines, Lyon County Street Centerline, Published in 2011, 1:1200 (1in=100ft) scale, City of Emporia/Lyon County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2011. It is described as 'Lyon County Street Centerline'....

  1. Road Bridges and Culverts, Bridges, Published in 2006, 1:24000 (1in=2000ft) scale, Lafayette County Land Records.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Field Survey/GPS information as of 2006. It is...

  2. Road Maintenance Districts, Published in 2010, 1:1200 (1in=100ft) scale, Linn County GIS Mapping Dept..

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2010....

  3. Trails, RS2477, add roads, Published in 2003, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2003. It is described as 'add roads'....

  4. Trails, RS2477, b roads 053008, Published in 2008, 1:24000 (1in=2000ft) scale, Tooele County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as 'b roads...

  5. Trails, RS2477, add roads rev, Published in 2004, 1:24000 (1in=2000ft) scale, Iron County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, RS2477 dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2004. It is described as 'add roads...

  6. Road Maintenance Districts, public works paver program, Published in 2007, 1:1200 (1in=100ft) scale, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Maintenance Districts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2007. It is described...

  7. Road Bridges and Culverts, Published in 2005, 1:1200 (1in=100ft) scale, Brown County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2005. Data by this...

  8. Road and Street Centerlines, Road centerlines with address ranges - captured with GPS as the roads are constructed, Published in 2010, 1:1200 (1in=100ft) scale, Columbia County Board of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:1200 (1in=100ft) scale, was produced all or in part from Field Survey/GPS information as of 2010. It is described as 'Road centerlines with address...

  9. Road and Street Centerlines, Centerlines of all roads in Boone County, including city streets, county roads, highways, etc. Attributes include names, enhanced address ranges, zip codes, etc., Published in 2012, 1:1200 (1in=100ft) scale, Boone County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2012. It is described as 'Centerlines of all roads in Boone...

  10. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  11. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  12. Determining Appropriate Seasonal Dislocation Sites of Fire Brigades in the Šibenik-Knin County Based on Road Network Analysis

    Directory of Open Access Journals (Sweden)

    Doroteja Držaić

    2015-07-01

    Full Text Available The majority of wildfires in the Republic of Croatia occur in coastal and island areas, so the Šibenik-Knin County was studied in this research. This research was based upon spatial and temporal analyses of past fires in the Šibenik-Knin County using GIS tools in order to identify potential locations for seasonal dislocation of fire stations. The research resulted in cartographic visualization of areas within reach of existing fire brigades within the standard intervention time and potential locations for seasonal dislocation of fire stations. The results obtained using spatial GIS analysis can be used as a basis for future spatial planning and seasonal dislocation of fire stations in the Šibenik-Knin County, as well as a basis for determining dislocation of fire stations in other Croatian counties.

  13. Hydrologic monitoring program in Eldridge-Wilde and East Lake Road well-field areas, Pinellas and Hillsborough counties, Florida, 1978

    Science.gov (United States)

    Mills, L.R.

    1980-01-01

    This report describes the observation-well network in Eldridge-Wilde and East Lake Road well-field areas, Pinellas and Hillsborough Counties, Florida. Data obtained in 1978 from the network in and adjacent to the two well fields, as well as rainfall and pumpage records, are presented. The Southwest Florida Water Management District has established regulatory water-level limits in four observation wells and water-quality limits in three observation wells. Water levels dropped below regulatory limits in the spring of 1978 in three wells. Chloride concentrations in 1978 remained above regulatory limits for the entire year in one well and exceeded the limit during the late spring in the other two deep wells, both west of Eldridge-Wilde well field. (USGS)

  14. 75 FR 8428 - The Indiana Rail Road Company-Abandonment Exemption-in Martin and Lawrence Counties, IN; CSX...

    Science.gov (United States)

    2010-02-24

    ... Mayor; Douglas England, City of New Albany Mayor; David Branneman, Lawrence County Tourism Commission... posted on the Board's Web site. This action will not significantly affect either the quality of the human environment or the conservation of energy resources. Dated: February 18, 2010. By the Board, Rachel...

  15. The flora and fauna of a proposed wind turbine site near Royal Road, Prince Edward County, Ontario : preliminary screening of the natural environment

    Energy Technology Data Exchange (ETDEWEB)

    Holder, M.; Leggett, A. [Jacques Whitford Environment Ltd., Markham, ON (Canada)

    2002-07-15

    Calgary based Vision Quest Windelectric has been given zoning approval to install a 22 MW windfarm in Ontario's Prince Edward County. Following a preliminary screening to determine the effect of the windfarm on the natural environment, the Royal Road Windfarm will be developed in stages with up to 32 turbines. Jacques Whitford Environment Ltd. conducted an environmental study which showed that an exploratory wind turbine in the area is not likely to cause major adverse impacts on local fauna and flora. The proposed location of the wind turbine is not in an important bird area (IBA). An IBA is defined as a site providing essential habitat for one of more species of breeding or non-breeding birds. In 1999, Vision Quest initiated a program to examine bird interactions with wind turbines in southern Alberta. It was shown that most species choose flight paths to avoid turbines. The Royal Road site hosts rare alvars which are naturally open landscapes found in shallow soils on flat limestones. The alvars are subject to seasonal drought and flooding and have specific types of vegetation and animals. Since the exploratory wind turbine will be placed outside the IBA area, its impact on birds will be minimized, and it will have minimal effect on migrant, breeding and wintering birds. It was recommended that monitoring take place at the site during the first year of operation. It is also presumed that the wind turbine will not have any impact on mammals, reptiles and amphibians, or insects. However, it was recommended that more information be gathered on bat movement in the area. If placed appropriately, the wind turbine is not expected to impact on rare plants. It was emphasized that in the past, Vision Quest Windelectric has conducted environmental screening activities, and has acted on recommendations to place wind turbines in locations where environmental impact will be minimized. 26 refs., 5 tabs., 2 figs., 2 appendices.

  16. Allegheny County Beltway System Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Authoritative dataset of the beltway system in Allegheny County. The system was developed to help motorists navigate through Allegheny County on low-traffic roads....

  17. Flood-inundation maps for South Fork Peachtree Creek from the Brockett Road bridge to the Willivee Drive bridge, DeKalb County, Georgia

    Science.gov (United States)

    Musser, Jonathan W.

    2015-10-14

    Digital flood-inundation maps for a 5.3-mile reach of South Fork Peachtree Creek that extends from about 500 feet above the Brockett Road bridge to the Willivee Drive bridge were developed by the U.S. Geological Survey (USGS) in cooperation with DeKalb County, Georgia. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at South Fork Peachtree at Casa Drive, near Clarkston, Georgia (02336152). Real-time stage information from this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system (http://water.weather.gov/ahps/).

  18. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the road centerlines in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  19. Road and Street Centerlines - Five Year Road Program (Arcs)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Volusia County Adopted 5-year road improvement program. An additional 5-years of planning information is also included; this information is not officially Adopted....

  20. DOT Basemap Roads - All Types

    Data.gov (United States)

    Minnesota Department of Natural Resources — This data set contains roadway centerlines for roads found on the USGS 1:24,000 mapping series. Those roadways that are Interstate, Trunk Highway, or CSAH (county...

  1. Proposal: To Examine Potential Effects of Corridors such as Cross-County Ski Trials, Logging Roads, etc. on Populations of Cheat Mountain Salamanders

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Cheat Mountain Salamanders (Plethodon nettingi) are known to occur in only 5 counties and the western edge of Grant County along the Allegheny Front in the eastern...

  2. Road Edge of Pavement, Edge of road layer derived from LIDAR, built as part of the break lines., Published in 2005, 1:1200 (1in=100ft) scale, Scott County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Edge of Pavement dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from LIDAR information as of 2005. It is described as 'Edge of...

  3. Road and Street Centerlines, KDOT All-Road layers for the counties we serve, Published in 2000, 1:24000 (1in=2000ft) scale, Prairie Land Electric COOP, Inc..

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:24000 (1in=2000ft) scale, was produced all or in part from Hardcopy Maps information as of 2000. It is described as 'KDOT All-Road layers for the...

  4. Miscellaneous Roads

    Data.gov (United States)

    Minnesota Department of Natural Resources — This data set contains roadway centerlines for miscellanous roads, a catch-all category for all road types not present in the other DNR derived products. These road...

  5. Chaves County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  6. Socorro County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  7. Lincoln County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  8. Roosevelt County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Sierra County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Valencia County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Cibola County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Catron County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Bernalillo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Colfax County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Harding County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Quay County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Taos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Mora County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Union County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Lea County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Chaves County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Luna County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Otero County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Torrance County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Socorro County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Eddy County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Hidalgo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Lincoln County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Grant County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Curry County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Guadalupe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Sandoval County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Otero County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  14. Road Interchanges, Included in our street centerline file to include interchanges as a feature code for rams and interchanges, Published in unknown, Johnson County AIMS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Interchanges dataset, was produced all or in part from Field Survey/GPS information as of unknown. It is described as 'Included in our street centerline...

  15. Road Bridges and Culverts, Bridges - digitized from 2008 aerials by Furgro Earthdata, Published in 2008, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described...

  16. Road Edge of Pavement, Edge of Pavement - polygon digitized by Furgro Earthdata, Published in 2008, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Edge of Pavement dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described as...

  17. Road Routes for Waste Disposal, SolidWasteRoutes; line, Published in 2010, 1:1200 (1in=100ft) scale, Athens-Clarke County Planning Department.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Routes for Waste Disposal dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Hardcopy Maps information as of 2010. It is...

  18. Road Bridges and Culverts, Highway Culverts, Published in 2006, 1:24000 (1in=2000ft) scale, Lafayette County Land Records.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Field Survey/GPS information as of 2006. It is...

  19. Road Edge of Pavement, public works paver program, Published in 2007, 1:1200 (1in=100ft) scale, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Edge of Pavement dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2007. It is described as...

  20. Road Bridges and Culverts, 2006 2' contours; autocad dwg, bridge layer, Published in 2006, 1:1200 (1in=100ft) scale, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2006. It is described...

  1. Strabo's roads

    DEFF Research Database (Denmark)

    Bekker-Nielsen, Tønnes

    2017-01-01

    in the Geography, and the world-view, of Strabo. Strabo did not take much interest in roads as artefacts or monuments, in the technology of road construction, or in the mythological and historical background of individual roads. He is primarily interested in roads from a functional point of view. For the general...

  2. Fair Grounds, Feature data set including roads, buildings, multi-use areas, and area of the Rock County Fairgrounds in the City of Janesville, Wisconsin., Published in 2004, Rock County Planning, Economic, and Community Development Agency.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Fair Grounds dataset, was produced all or in part from Other information as of 2004. It is described as 'Feature data set including roads, buildings, multi-use...

  3. Salt overload: How quickly does road salt move from road to groundwater to stream in Baltimore County, MD and what are the effects on soil, groundwater, and stream chemistry?

    Science.gov (United States)

    Moore, J.; Sandosky, B.; McGuire, M.; Casey, R.; Snodgrass, J.; Lev, S. M.

    2013-12-01

    The portion of the landscape covered by roads and other impervious surfaces has increased over the last 50 years. Concurrently, application of road salt, primarily sodium chloride (NaCl), as a de-icer has increased in areas of North America with regular ice and snowfall events. Over the last 10 - 15 years, numerous investigators reported that decades of road salt application has resulted in growing concentrations of sodium and chloride in groundwater and surface water. These road salt-derived elements are present at elevated levels in the surface and groundwaters of impacted watersheds year round. An understudied aspect of road salt impacts has been the role that stormwater management basins (SMBs) play in altering the timing and location of road salt loading to urban and suburban groundwater-surface water systems. SMBs have become common in construction and development over the last 15-20 years. One of the major goals of SMBs is to decrease direct runoff from impervious surfaces to streams by redirecting that runoff into shallow groundwater and thus reducing the flashiness of streams in urban and suburban areas. An unintended consequence of SMBs is that road salt runoff from impervious surfaces is focused into the SMBs and loaded into the vadose zone and shallow groundwater in the winter and then exported to surface water throughout the year. As part of an onging project in a suburb northwest of Baltimore, MD, water samples were collected several times a year from groundwater below two SMBs, a shallow groundwater aquifer downgradient of the SMBs, and a second-order stream for which the aquifer provides baseflow. The major elemental chemistry of the samples was measured. Conductivity and water level loggers were installed to collect data in wells and surface water between grab sampling events. The logger records will be analyzed using spatio-temporal data mining techniques to extract important patterns in the data and to highlight and understand seasonal trends and

  4. Assessment of water quality, road runoff, and bulk atmospheric deposition, Guanella Pass area, Clear Creek and Park Counties, Colorado, water years 1995-97

    Science.gov (United States)

    Stevens, Michael R.

    2001-01-01

    The Guanella Pass road, located about 40 miles west of Denver, Colorado, between the towns of Georgetown and Grant, has been designated a scenic byway and is being considered for reconstruction. The purpose of this report is to present an assessment of hydrologic and water-quality conditions in the Guanella Pass area and provide baseline data for evaluation of the effects of the proposed road reconstruction. The data were collected during water years 1995-97 (October 1, 1995, to September 30, 1997).Based on Colorado water-quality standards, current surface-water quality near Guanella Pass road was generally acceptable for specified use classifications of recreation, water supply, agriculture, and aquatic life. Streams had small concentrations of dissolved solids, nutrients, trace elements, and suspended sediment. An exception was upper Geneva Creek, which was acidic and had relatively large concentrations of iron, zinc, and other trace elements related to acid-sulfate weathering. Concentrations of many water-quality constituents, especially particle-related phases and suspended sediment, increased during peak snowmelt and rainstorm events and decreased to prerunoff concentrations at the end of runoff periods. Some dissolved (filtered) trace-element loads in Geneva Creek decreased during rainstorms when total recoverable loads remained generally static or increased, indicating a phase change that might be explained by adsorption of trace elements to suspended sediment during storm runoff.Total recoverable iron and dissolved zinc exceeded Colorado stream-water-quality standards most frequently. Exceedances for iron generally occurred during periods of high suspended-sediment transport in several streams. Zinc standards were exceeded in about one-half the samples collected in Geneva Creek 1.5 miles upstream from Grant.Lake-water quality was generally similar to that of area streams. Nitrogen and phosphorus ratios calculated for Clear and Duck Lakes indicated that

  5. ROAD SAFETY

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Every year a lot of people are killed or injured in road accidents.How can we make the roads safer?Remember the following traffic rules. When you ride a bike,keep to the right side of the road.Don't cross the road or turn left at a red traffic light.Give a hand signal if you want to turn or stop. Before crossing the road,stop and look both ways,right and left.If the road is

  6. Road density

    Data.gov (United States)

    U.S. Environmental Protection Agency — Road density is generally highly correlated with amount of developed land cover. High road densities usually indicate high levels of ecological disturbance. More...

  7. Road Safety

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Every day we all use roads. We walk on them. We walk eitheralong the pavement (人行道)or across the road. If we are careless, wecan cause accidents.Accidents often happen when people arecrossing the road. Here is some advice.

  8. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

    ... Energy Regulatory Commission Placer County Water Agency Notice of Application Tendered for Filing with... Filed: February 23, 2011 d. Applicant: Placer County Water Agency e. Name of Project: Middle Fork... Manager, Placer County Water Agency, 144 Ferguson Road, Auburn, CA 95603; Telephone: (530) 823-4490....

  9. Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York

    Science.gov (United States)

    Reynolds, Richard J.; Anderson, J. Alton; Williams, John H.

    2015-01-01

    The U.S. Geological Survey collected and analyzed geophysical logs from 20 test wells and 23 residential wells at the Shenandoah Road National Superfund Site in East Fishkill, New York, from 2006 through 2010 as part of an Interagency Agreement to provide hydrogeologic technical support to the U.S. Environmental Protection Agency, Region 2. The geophysical logs collected include caliper, gamma, acoustic and optical televiewer, deviation, electromagnetic-induction, magnetic-susceptibility, fluid-property, and flow under ambient and pumped conditions. The geophysical logs were analyzed along with single-well aquifer test data and drilling logs to characterize the lithology, fabric, fractures, and flow zones penetrated by the wells. The results of the geophysical log analysis were used as part of the hydrogeologic characterization of the site and in the design of discrete-zone monitoring installations in the test wells and selected residential wells.

  10. Competitiveness in Road Transport

    DEFF Research Database (Denmark)

    Borgström, Benedikte; Gammelgaard, Britta; Bruun, Poul

    Road transport is an important sector, connecting time and space of production and consumption. Its market conditions has changed. The EU single market implementation has increased price pressure due to supply of low cost road freight transport from counties with lower cost structures. Changes....... In this paper we will explore that knowledge gap and analyze what value proposition(s) and capabilities can transform potential cost disadvantages of acting in a market that includes both high- and low-cost-country actors? And in conceptual terminology, how are capabilities deployed and developed to construct...... take into account logistics service supplier strategic management. We also contribute with better understanding of value creation in order to escape commoditization and differentiate services through relationships (customers and/or other hauliers). Practical implications concern hauliers’ strategy...

  11. Road works and road safety.

    NARCIS (Netherlands)

    2008-01-01

    Roadworks can cause dangerous situations for both road users and road workers. In the period 2000-2009, 2% of all registered fatal crashes in the Netherlands took place at roadworks. In addition, roadworks seem to increase the crash rate. Lorries are relatively often involved in crashes at roadworks

  12. Road works and road safety.

    NARCIS (Netherlands)

    2008-01-01

    Roadworks can cause dangerous situations for both road users and road workers. In the period 2000-2009, 2% of all registered fatal crashes in the Netherlands took place at roadworks. In addition, roadworks seem to increase the crash rate. Lorries are relatively often involved in crashes at

  13. Hydrologic monitoring program in Eldridge-Wilde and East Lake Road well-field areas, Pinellas and Hillsborough counties, Florida, 1977 water year

    Science.gov (United States)

    Joyner, Boyd F.; Gerhart, James M.

    1980-01-01

    The observation-well network in the vicinity of the two well fields is described in detail. Data obtained from the network from October 1976 through September 1977, as well as rainfall and pumpage records, are presented and discussed. Below-normal rainfall caused the water table and potentiometric surface of the Floridan aquifer in Eldridge-Wilde well field to recover 2 feet less in September 1977 than in the previous September. Water levels in East Lake Road will field were approximately the same in Spetember of both years. The Southwest Florida Water Management District has established regulatory water-level and water-quality limits in several observation wells. Water levels did not drop below regulatory limits during the year. Water from two deep wells west of Eldridge-Wilde well field exceeded the regulatory limits for chloride concentrations. The position of the 250 milligram per liter chloride line is shown in cross section in the vicinity of Eldridge-Wilde well field in September 1977. Network modifications are proposed that would result in a more comprehensive knowledge of the hydrologic system. (USGS)

  14. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI... Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I-90 southeast of South...

  15. Major Roads

    Data.gov (United States)

    Minnesota Department of Natural Resources — This data set contains roadway centerlines for major roads (interstates and trunk highways) found on the USGS 1:24,000 mapping series. These roadways are current...

  16. Distributed road assessment system

    Science.gov (United States)

    Beer, N. Reginald; Paglieroni, David W

    2014-03-25

    A system that detects damage on or below the surface of a paved structure or pavement is provided. A distributed road assessment system includes road assessment pods and a road assessment server. Each road assessment pod includes a ground-penetrating radar antenna array and a detection system that detects road damage from the return signals as the vehicle on which the pod is mounted travels down a road. Each road assessment pod transmits to the road assessment server occurrence information describing each occurrence of road damage that is newly detected on a current scan of a road. The road assessment server maintains a road damage database of occurrence information describing the previously detected occurrences of road damage. After the road assessment server receives occurrence information for newly detected occurrences of road damage for a portion of a road, the road assessment server determines which newly detected occurrences correspond to which previously detected occurrences of road damage.

  17. County Spending

    Data.gov (United States)

    Montgomery County of Maryland — This dataset includes County spending data for Montgomery County government. It does not include agency spending. Data considered sensitive or confidential and will...

  18. Louisiana ESI: ROADS (Road Lines)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains the state maintained primary and secondary road network of Louisiana. Vector lines in the data set represent Interstates, U.S. Highways, and...

  19. Roads Investments, Spatial Intensification and Deforestation in the Brazilian Amazon

    Science.gov (United States)

    Pfaff, Alexander; Robalino, Juan; Walker, Robert; Aldrich, Steven; Caldas, Marcellus; Reis, Eustaquio; Perz, Stephen; Bohrer, Claudio; Arima, Eugenio; Laurance, William; hide

    2007-01-01

    Understanding the impact of road investments on deforestation is part of a complete evaluation of the expansion of infrastructure for development. We find evidence of spatial spillovers from roads in the Brazilian Amazon: deforestation rises in the census tracts that lack roads but are in the same county as and within 100 km of a tract with a new paved or unpaved road. At greater distances from the new roads the evidence is mixed, including negative coefficients of inconsistent significance between 100 and 300 km, and if anything, higher neighbor deforestation at distances over 300 km.

  20. Roads Investments, Spatial Intensification and Deforestation in the Brazilian Amazon

    Science.gov (United States)

    Pfaff, Alexander; Robalino, Juan; Walker, Robert; Aldrich, Steven; Caldas, Marcellus; Reis, Eustaquio; Perz, Stephen; Bohrer, Claudio; Arima, Eugenio; Laurance, William; Kibry, Kathryn

    2007-01-01

    Understanding the impact of road investments on deforestation is part of a complete evaluation of the expansion of infrastructure for development. We find evidence of spatial spillovers from roads in the Brazilian Amazon: deforestation rises in the census tracts that lack roads but are in the same county as and within 100 km of a tract with a new paved or unpaved road. At greater distances from the new roads the evidence is mixed, including negative coefficients of inconsistent significance between 100 and 300 km, and if anything, higher neighbor deforestation at distances over 300 km.

  1. Quantifying the impact of energy traffic on local unpaved roads

    Science.gov (United States)

    Stroud, Nathan K.

    Converse, Goshen, Laramie, and Platte counties were selected in accordance with a legislative directive as part of a project to determine the impact of the oil and gas industry on county infrastructure. This thesis takes into account the impact of county gravel roads and strategies used to help develop methods to assess and mitigate this impact. With a lacking road and bridge budget, these counties are only just keeping up with the current impact. In order to receive additional funding from the state legislature, actual impact needs to be assessed. The different distresses and ride quality of all the county gravel roads showed that, on average, the roads were in good condition, no matter the level of impact. However, the cost to keep the impacted roads in this condition came at a much greater price. By modeling the data gathered in this study and comparing the differences between impacted and non-impacted roads, a better understanding of the degradation taking place and the main causes were examined and valuable information was attained. A priority ranking for impacted roads was also assessed to determine the severity of the impact for each county and to supply maintenance recommendations and costs for each road. This was done in hopes that the information from this model will then be used for more efficient maintenance strategies and a more cost effective use of the county's budget so that the counties may continue to keep up with the energy impacts. The process developed in this study could be very useful for other local agencies impacted by energy development.

  2. Road works

    CERN Multimedia

    GS Department

    2010-01-01

    From Monday 11 October until Friday 29 October 2010, the flow of traffic will be disrupted by road works at the roundabout in front of Restaurant No. 2; The number of spaces available in the car park in front of Rest. No. 2 will be reduced. Thank you for your understanding during this period. GS/SEM Group

  3. Development of a British Road Safety Education Support Materials Curriculum.

    Science.gov (United States)

    Bouck, Linda H.

    Road safety education needs to be a vital component in the school curriculum. This paper describes a planned road safety education support materials curriculum developed to aid educators in the Wiltshire County (England) primary schools. Teaching strategies include topic webs, lecture, class discussion, group activities, and investigative learning…

  4. Promoting Statistical Thinking in Schools with Road Injury Data

    Science.gov (United States)

    Woltman, Marie

    2017-01-01

    Road injury is an immediately relevant topic for 9-19 year olds. Current availability of Open Data makes it increasingly possible to find locally relevant data. Statistical lessons developed from these data can mutually reinforce life lessons about minimizing risk on the road. Devon County Council demonstrate how a wide array of statistical…

  5. Promoting Statistical Thinking in Schools with Road Injury Data

    Science.gov (United States)

    Woltman, Marie

    2017-01-01

    Road injury is an immediately relevant topic for 9-19 year olds. Current availability of Open Data makes it increasingly possible to find locally relevant data. Statistical lessons developed from these data can mutually reinforce life lessons about minimizing risk on the road. Devon County Council demonstrate how a wide array of statistical…

  6. Land Use and Land Cover, Impervious Surface - contains polygons that represent houses, buildings, roads, driveways, sidewalks, pools, patios, parking lots, pavements, Published in 2008, 1:2400 (1in=200ft) scale, Effingham County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Land Use and Land Cover dataset current as of 2008. Impervious Surface - contains polygons that represent houses, buildings, roads, driveways, sidewalks, pools,...

  7. Zip Codes, Buffalo_county_zip_codes, Published in 2006, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, was produced all or in part from Road Centerline Files information as of 2006. It is described as 'Buffalo_county_zip_codes'. Data by this...

  8. Luna County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Otero County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Curry County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Colfax County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Roosevelt County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Cibola County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Grant County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Los Alamos County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  16. Harding County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Eddy County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  18. Mora County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. Quay County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. Lincoln County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Taos County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Catron County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Hidalgo County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Torrance County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Socorro County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Valencia County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Lea County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Chaves County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. McKinley County TIGER Roads 1994

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This Data set is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3.

  10. Sierra County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Dona Ana County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. McKinley County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Los Alamos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. San Juan County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Rio Arriba County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Santa Fe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. San Miguel County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. De Baca County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. 76 FR 78234 - Medicine Bow-Routt National Forests and Thunder Basin National Grassland, Campbell County, WY...

    Science.gov (United States)

    2011-12-16

    ... Forest Service Medicine Bow-Routt National Forests and Thunder Basin National Grassland, Campbell County..., LLC to vacate and relocate portions of Campbell County Road 69, Mackey Road, onto National Forest... Sections 29-31 of T. 43 N., R. 69 W., 6th Principal Meridian, Campbell County, Wyoming. DATES: Comments...

  20. VT Road Centerline

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata)(User Guide)The Vermont Road Centerline data layer (TransRoad_RDS) contains all town and state highways, as well as many private roads. The...

  1. TransRoad_RDS

    Data.gov (United States)

    Vermont Center for Geographic Information — The Road Centerline data layer (TransRoad_RDS) contains all town and state highways, as well as many private roads. The centerlines were originally developed under...

  2. Armenia - Rural Road Rehabilitation

    Data.gov (United States)

    Millennium Challenge Corporation — The key research questions guiding our design of the RRRP evaluation are: • Did rehabilitating roads affect the quality of roads? • Did rehabilitating roads improve...

  3. Road Bridges and Culverts, Culverts - cross drains were collected via GPS for drainage project, Published in 2005, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Hardcopy Maps information as of 2005. It is described...

  4. Road Bridges and Culverts, Misc. Arcs (Bridge): Part of 2005 Planimetry-Topography layers., Published in 2005, 1:1200 (1in=100ft) scale, Washington County GIS Office.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Bridges and Culverts dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Orthoimagery information as of 2005. It is described...

  5. Road and Street Centerlines, All data was acquired by GPS observation & manually corrected, where needed, by observing the linework on aerial photography, Published in 2012, Not Applicable scale, Chippewa County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Road and Street Centerlines dataset current as of 2012. All data was acquired by GPS observation & manually corrected, where needed, by observing the linework on...

  6. County and Parish Boundaries, County boundaries for the counties we serve., Published in 2000, 1:100000 (1in=8333ft) scale, Prairie Land Electric COOP, Inc..

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2000....

  7. Road and Street Centerlines, HOGARDC has Road Centerlines for Appling, Bleckley, Candler, Dodge, Emanuel, Evans, Jeff Davis, Johnson, Laurens, Montgomery, Tattnall, Telfair, Toombs, Treutlen, Wayne, Wheeler, and Wilcox Counties., Published in 2006, 1:7200 (1in=600ft) scale, Heart of Georgia Altamaha RDC.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:7200 (1in=600ft) scale, was produced all or in part from Field Observation information as of 2006. It is described as 'HOGARDC has Road Centerlines...

  8. 75 FR 55737 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2010-09-14

    ... Forest Supervisor's Office, 1600 Tollhouse Road Prather, CA. Send written comments to Robbin Ekman... INFORMATION CONTACT: Robbin Ekman, Fresno County Resource Advisory Committee Coordinator. (559) 855-5355 ext...

  9. The road safety audit and road safety inspection.

    NARCIS (Netherlands)

    2007-01-01

    A road safety audit (RSA) and a road safety inspection (RSI) are used to test the safety level of the road infrastructure. The RSA tests the design of new roads or the reconstruction of existing roads, whereas the RSI is used for testing existing roads. An RSA, therefore, aims to 'improve' the road

  10. The road safety audit and road safety inspection.

    NARCIS (Netherlands)

    2007-01-01

    A road safety audit (RSA) and a road safety inspection (RSI) are used to test the safety level of the road infrastructure. The RSA tests the design of new roads or the reconstruction of existing roads, whereas the RSI is used for testing existing roads. An RSA, therefore, aims to 'improve' the road

  11. Investigation of road network features and safety performance.

    Science.gov (United States)

    Wang, Xuesong; Wu, Xingwei; Abdel-Aty, Mohamed; Tremont, Paul J

    2013-07-01

    The analysis of road network designs can provide useful information to transportation planners as they seek to improve the safety of road networks. The objectives of this study were to compare and define the effective road network indices and to analyze the relationship between road network structure and traffic safety at the level of the Traffic Analysis Zone (TAZ). One problem in comparing different road networks is establishing criteria that can be used to scale networks in terms of their structures. Based on data from Orange and Hillsborough Counties in Florida, road network structural properties within TAZs were scaled using 3 indices: Closeness Centrality, Betweenness Centrality, and Meshedness Coefficient. The Meshedness Coefficient performed best in capturing the structural features of the road network. Bayesian Conditional Autoregressive (CAR) models were developed to assess the safety of various network configurations as measured by total crashes, crashes on state roads, and crashes on local roads. The models' results showed that crash frequencies on local roads were closely related to factors within the TAZs (e.g., zonal network structure, TAZ population), while crash frequencies on state roads were closely related to the road and traffic features of state roads. For the safety effects of different networks, the Grid type was associated with the highest frequency of crashes, followed by the Mixed type, the Loops & Lollipops type, and the Sparse type. This study shows that it is possible to develop a quantitative scale for structural properties of a road network, and to use that scale to calculate the relationships between network structural properties and safety.

  12. Stormwater Pollution Prevention Plan TA-60 Roads and Grounds Facility and Associated Sigma Mesa Staging Area

    Energy Technology Data Exchange (ETDEWEB)

    Sandoval, Leonard Frank [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-02-01

    This Stormwater Pollution Prevention Plan (SWPPP) is applicable to operations at the Technical Area -60 (TA-60) Roads and Grounds Facility and Associated Sigma Mesa Staging Area off Eniwetok Drive, in Los Alamos County, New Mexico.

  13. Roads (Johnson City)

    Data.gov (United States)

    National Park Service, Department of the Interior — This is a vector line file showing the location of existing NPS roads including access roads for which the park has an easement at Lyndon B. Johnson National...

  14. Roads Near Streams

    Data.gov (United States)

    U.S. Environmental Protection Agency — Roads are a source of auto related pollutants (e.g. gasoline, oil and other engine fluids). When roads are near streams, rain can wash these pollutants directly into...

  15. Future Roads Near Streams

    Data.gov (United States)

    U.S. Environmental Protection Agency — Roads are a source of auto related pollutants (e.g. gasoline, oil and other engine fluids). When roads are near streams, rain can wash these pollutants directly into...

  16. VT Road Centerline

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata)(User Guide)(Symbology layer files: aotclass_only.lyr aotclass_surfacetyp.lyr)The Vermont Road Centerline data layer (TransRoad_RDS) contains all...

  17. Future Road Density

    Data.gov (United States)

    U.S. Environmental Protection Agency — Road density is generally highly correlated with amount of developed land cover. High road densities usually indicate high levels of ecological disturbance. More...

  18. Rural road maintenance management

    OpenAIRE

    Johannessen, B.

    1999-01-01

    This manual summarizes relevant Cambodian government policies regarding rural road maintenance. Chapter 2 defines the various components of road maintenance and describes an effective strategy and organization which addresses the maintenance requirements of rural roads in Cambodia. Chapter 3 is a brief description of the planning, implementation and reporting cycle required in an effective road maintenance management system. Chapter 4 summarizes the contracts management procedures, and finall...

  19. FEATURES ROAD SAFETY AUDIT

    Directory of Open Access Journals (Sweden)

    L. Abramova

    2015-07-01

    Full Text Available Development of the road network, increasing motorization of the population significantly increase the risk of accidents. Experts in the field of traffic are developing methods to reduce the probability of accidents. The ways of solving the problems of road safety audit at various stages of the «life» of roads are considered.

  20. Overload road damage model

    CSIR Research Space (South Africa)

    Roux, MP

    2005-03-01

    Full Text Available Not only do overloaded vehicles pose an increased safety risk on the road (reduced stability and braking efficiency etc.), but they also accelerate the rate of deterioration of the road network and increase road maintenance costs, which in turn...

  1. 78 FR 894 - Interim Final Determination To Stay Sanctions, Imperial County Air Pollution Control District

    Science.gov (United States)

    2013-01-07

    ... AGENCY 40 CFR Part 52 Interim Final Determination To Stay Sanctions, Imperial County Air Pollution... of revisions to the Imperial County Air Pollution Control District (ICAPCD) portion of the California... such as unpaved roads and disturbed soils in open and agricultural areas in Imperial County....

  2. Road Transport Entrepreneurs and Road Transportation Revolution ...

    African Journals Online (AJOL)

    Toshiba

    An International Multidisciplinary Journal, Ethiopia. Vol. 7 (4), Serial No. ... Nnewi Igbo emerged as pioneer road transport entrepreneurs and charted this novel ..... the cardinal motives for venturing into the transport industry. (Maduewesi ...

  3. Automatic Road Centerline Extraction from Imagery Using Road GPS Data

    Directory of Open Access Journals (Sweden)

    Chuqing Cao

    2014-09-01

    Full Text Available Road centerline extraction from imagery constitutes a key element in numerous geospatial applications, which has been addressed through a variety of approaches. However, most of the existing methods are not capable of dealing with challenges such as different road shapes, complex scenes, and variable resolutions. This paper presents a novel method for road centerline extraction from imagery in a fully automatic approach that addresses the aforementioned challenges by exploiting road GPS data. The proposed method combines road color feature with road GPS data to detect road centerline seed points. After global alignment of road GPS data, a novel road centerline extraction algorithm is developed to extract each individual road centerline in local regions. Through road connection, road centerline network is generated as the final output. Extensive experiments demonstrate that our proposed method can rapidly and accurately extract road centerline from remotely sensed imagery.

  4. Bicycle facilities on road segments and intersections of distributor roads.

    NARCIS (Netherlands)

    2008-01-01

    A sustainably safe road environment requires bicycle facilities that separate motorized traffic from relatively vulnerable road users like cyclists. Research indicates that on distributor roads the road sections with adjoining or separate bicycle tracks are safer than the road sections without any b

  5. Bicycle facilities on road segments and intersections of distributor roads.

    NARCIS (Netherlands)

    2008-01-01

    A sustainably safe road environment requires bicycle facilities that separate motorized traffic from relatively vulnerable road users like cyclists. Research indicates that on distributor roads the road sections with adjoining or separate bicycle tracks are safer than the road sections without any b

  6. Deprived children or deprived neighbourhoods? A public health approach to the investigation of links between deprivation and injury risk with specific reference to child road safety in Devon County, UK

    Directory of Open Access Journals (Sweden)

    Hewson Paul

    2004-05-01

    Full Text Available Abstract Background Worldwide, injuries from road traffic collisions are a rapidly growing problem in terms of morbidity and mortality. The UK has amongst the worst records in Europe with regard to child pedestrian safety. A traditional view holds that resources should be directed towards training child pedestrians. In order to reduce socio-economic differentials in child pedestrian casualty rates it is suggested that these should be directed at deprived children. This paper seeks to question whether analysis of extant routinely collected data supports this view. Methods Routine administrative data on road collisions has been used. A deprivation measure has been assigned to the location where a collision was reported, and the home postcode of the casualty. Aggregate data was analysed using a number of epidemiological models, concentrating on the Generalised Linear Mixed Model. Results This study confirms evidence suggesting a link between increasing deprivation and increasing casualty involvement of child pedestrians. However, suggestions are made that it may be necessary to control for the urban nature of an area where collisions occur. More importantly, the question is raised as to whether the casualty rate is more closely associated with deprivation measures of the ward in which the collision occurred than with the deprivation measures of the home address of the child. Conclusion Conclusions have to be drawn with great caution. Limitations in the utility of the officially collected data are apparent, but the implication is that the deprivation measures of the area around the collision is a more important determinant of socio-economic differentials in casualty rates than the deprivation measures of the casualties' home location. Whilst this result must be treated with caution, if confirmed by individual level case-controlled studies this would have a strong implication for the most appropriate interventions.

  7. County and Parish Boundaries, Harris County, Published in 2007, 1:100000 (1in=8333ft) scale, River Valley Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2007....

  8. County and Parish Boundaries, Stewart County, Published in 2007, 1:100000 (1in=8333ft) scale, River Valley Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2007....

  9. County and Parish Boundaries, Clay County, Published in 2007, 1:100000 (1in=8333ft) scale, River Valley Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2007....

  10. County and Parish Boundaries, Chattahoochee County, Published in 2007, 1:100000 (1in=8333ft) scale, River Valley Regional Commission.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2007....

  11. Roads In and Surrounding Cedar Breaks National Monument, Utah (roads)

    Data.gov (United States)

    National Park Service, Department of the Interior — This coverage contains those transportation routes from the Dixie's d2_travel_rte coverage that were calculated road = 'Road'. The Dixie National Forest Road...

  12. Trajectory of a road vehicle during road maintenance

    Directory of Open Access Journals (Sweden)

    Stachová Darina

    2017-01-01

    Full Text Available Consider a vehicle moving on a road whose usage over time creates an uneven surface on the road. Road unevenness that we encounter on surface communications often arises as a consequence of dynamical effects of moving vehicles, of weather changes, and due to road construction works. This article concerns with mathematical modeling of the trajectory of a road vehicle moving on such a surface during the course of road maintenance.

  13. Roads to Safety.

    Science.gov (United States)

    Hauer, Ezra

    1991-01-01

    Contends that the level of safety built into roads is largely unpremeditated and that roads and highways are not as safe as they might be. Discusses practices, standards, and deficiencies in highway and traffic safety related to geometric design and traffic engineering. Recommends increased transportation engineering professionalism and public…

  14. Vehicular road influence areas

    Science.gov (United States)

    Huertas, María E.; Huertas, José I.; Valencia, Alexander

    2017-02-01

    Vehicle operation over paved and unpaved roads is an emission source that significantly contributes to air pollution. Emissions are derived from vehicle exhaust pipes and re-suspension of particulate matter generated by wind erosion and tire to road surface interactions. Environmental authorities require a methodology to evaluate road impact areas, which enable managers to initiate counter-measures, particularly under circumstances where historic meteorological and/or air quality data is unavailable. The present study describes an analytical and experimental work developed to establish a simplified methodology to estimate the area influenced by vehicular roads. AERMOD was chosen to model pollutant dispersion generated by two roads of common attributes (straight road over flat terrain) under the effects of several arbitrary chosen weather conditions. The resulting pollutant concentration vs. Distance curves collapsed into a single curve when concentration and distance were expressed as dimensionless numbers and this curve can be described by a beta distribution function. This result implied that average concentration at a given distance was proportional to emission intensity and that it showed minor sensitivity to meteorological conditions. Therefore, road influence was defined by the area adjacent to the road limited by distance at which the beta distribution function equaled the limiting value specified by the national air quality standard for the pollutant under consideration.

  15. Road crash costs.

    NARCIS (Netherlands)

    2010-01-01

    Road crashes result in all kinds of social costs, such as medical costs, production loss, human losses, property damage, settlement costs and costs due to congestion. Studies into road crash costs and their trends are carried out quite regularly. In 2009, the costs amounted to € 12.5 billion, or 2.2

  16. 76 FR 81912 - Foreign-Trade Zone 226-Merced, Madera, Fresno and Tulare Counties, CA; Application for...

    Science.gov (United States)

    2011-12-29

    ... Foreign-Trade Zones Board Foreign-Trade Zone 226--Merced, Madera, Fresno and Tulare Counties, CA... and Air Park Road, Atwater (Merced County); Site 6 (87 acres)--City of Madera Airport Industrial Park/State Center Commerce Park, Falcon Drive, Madera (Madera County); Site 7 (10 acres)--City of Madera...

  17. 75 FR 69057 - Foreign-Trade Zone 226-Merced, Madera, Fresno, and Tulare Counties, California; Site Renumbering...

    Science.gov (United States)

    2010-11-10

    ... Foreign-Trade Zones Board Foreign-Trade Zone 226--Merced, Madera, Fresno, and Tulare Counties, California... Park, Highway 33, Air Park Road, Atwater (Merced County); Site 6 (87 acres)--City of Madera Airport Industrial Park/State Center Commerce Park, Falcon Drive, Madera (Madera County); Site 7 (10 acres)--City of...

  18. 77 FR 61653 - Notice of Intent To Rule on Request To Release Airport Property at the Smyrna-Rutherford County...

    Science.gov (United States)

    2012-10-10

    ... Smyrna-Rutherford County Airport, Smyrna, TN AGENCY: Federal Aviation Administration (FAA), DOT. ACTION... the release of land at the Smyrna-Rutherford County Airport, Smyrna, Tennessee. This property... review at the Smyrna--Rutherford County Airport, 278 Doug Warpoole Road, Smyrna, Tennessee 37167 and...

  19. 77 FR 22755 - Foreign-Trade Zone 257-Imperial County, CA; Site Renumbering Notice

    Science.gov (United States)

    2012-04-17

    ... County and the city limits of Brawley, Calexico, Calipatria and El Centro, California. The current update...)--Airport Industrial Park, Jones Drive and Best Road with adjacent parcel on Duarte Street,...

  20. Wildland road removal: research needs

    Science.gov (United States)

    T. Adam Switalski; John A. Bissonette; Tom H. Deluca; Charles H. Luce; Mary Ann Madej

    2003-01-01

    Wildland road removal is a common practice across the U.S. and in some parts of Canada. The main types of road removal include ripping, stream crossing restoration, and full recontour. Road removal creates a short-term disturbance that may temporarily increase sediment loss. However, research and long-term monitoring have shown that road removal both reduces erosion...

  1. Road rage and collision involvement.

    Science.gov (United States)

    Mann, Robert E; Zhao, Jinhui; Stoduto, Gina; Adlaf, Edward M; Smart, Reginald G; Donovan, John E

    2007-01-01

    To assess the contribution of road rage victimization and perpetration to collision involvement. The relationship between self-reported collision involvement and road rage victimization and perpetration was examined, based on telephone interviews with a representative sample of 4897 Ontario adult drivers interviewed between 2002 and 2004. Perpetrators and victims of both any road rage and serious road rage had a significantly higher risk of collision involvement than did those without road rage experience. This study provides epidemiological evidence that both victims and perpetrators of road rage experience increased collision risk. More detailed studies of the contribution of road rage to traffic crashes are needed.

  2. Township Administered Roads

    Data.gov (United States)

    Minnesota Department of Natural Resources — This data set contains roadway centerlines for township administered roads found on the USGS 1:24,000 mapping series. In some areas, these roadways are current...

  3. Burkina Faso - Roads

    Data.gov (United States)

    Millennium Challenge Corporation — Impaq worked with the data collection firms NSCE-MCG-AC3E [the Group] to conduct traffic, household, and business surveys as part of the Roads Project evaluation....

  4. State Forest Roads

    Data.gov (United States)

    Minnesota Department of Natural Resources — ArcView shape file of roads administered by the Commissioner of Natural Resources to provide access to lands administered by the Division of Forestry. Most, but not...

  5. Road Works Ahead

    Institute of Scientific and Technical Information of China (English)

    Gertrude Majyambere

    2011-01-01

    @@ CHINA will invest about $532 million in Rwanda this year, mainly targeting critical economic engines such as building roads and vocational schools, said Shu Zhan, Chinese Ambassador to Rwanda, in early February.

  6. 78 FR 79726 - Norfolk Southern Railway Company-Abandonment Exemption-in Gaston County, NC

    Science.gov (United States)

    2013-12-31

    ...-Exempt Abandonments to abandon approximately 0.5 miles of rail line between milepost HG 37.50 (near the line's crossing of Brooks Road) and milepost HG 38.00 (north of Robinson Road), in Crowders (Gastonia), Gaston County, N.C.\\1\\ The line traverses United States Postal Service Zip Code 28052. \\1\\ NSR...

  7. Kilburn High Road Revisited

    Directory of Open Access Journals (Sweden)

    Cristina Capineri

    2016-07-01

    Full Text Available Drawing on John Agnew’s (1987 theoretical framework for the analysis of place (location, locale and sense of place and on Doreen Massey’s (1991 interpretation of Kilburn High Road (London, the contribution develops an analysis of the notion of place in the case study of Kilburn High Road by comparing the semantics emerging from Doreen Massey’s interpretation of Kilburn High Road in the late Nineties with those from a selection of noisy and unstructured volunteered geographic information collected from Flickr photos and Tweets harvested in 2014–2015. The comparison shows how sense of place is dynamic and changing over time and explores Kilburn High Road through the categories of location, locale and sense of place derived from the qualitative analysis of VGI content and annotations. The contribution shows how VGI can contribute to discovering the unique relationship between people and place which takes the form given by Doreen Massey to Kilburn High Road and then moves on to the many forms given by people experiencing Kilburn High Road through a photo, a Tweet or a simple narrative. Finally, the paper suggests that the analysis of VGI content can contribute to detect the relevant features of street life, from infrastructure to citizens’ perceptions, which should be taken into account for a more human-centered approach in planning or service management.

  8. IAU South West Asian ROAD

    Science.gov (United States)

    Mickaelian, Areg; Azatyan, Naira; Farmanyan, Sona; Mikayelyan, Gor

    2016-10-01

    Armenia is hosting the IAU South West Asian (SWA) Regional Office of Astronomy for Development (ROAD). It is a county of ancient astronomy and is also rich in modern astronomical facilities and infrastructures, hence may successfully serve as a regional center for various activities. Byurakan Astrophysical Observatory (BAO) has 2.6m and 1m Schmidt, as well as a number of smaller telescopes that are an observational basis for joint projects and collaborations. Armenian Virtual Observatory (ArVO) is hosting astronomical databases, such as the Digitized First Byurakan Survey (DFBS) and may also serve as a basis for development of VO structures in this region. Recently we have conducted a number of new activities; a meeting on ``Relation of Astronomy to other Sciences, Culture and Society" (RASCS) was organized by BAO and Armenian Astronomical Society (ArAS) in Oct 2014 in Byurakan. Activities related to Archaeoastronomy and Astronomy in Culture (AAC) were initiated as well. Discussions on future Armenian-Iranian collaboration in astronomy were carried out, including an Armenian-Iranian Astronomical Workshop held in Oct 2015 in Byurakan. Similar workshops have been carried out between BAO and Abastumani Astronomical Observatory (AbAO, Georgia) since 1974.

  9. THE EFFECT OF THE LANDSLIDES ON A RURAL ROAD

    Directory of Open Access Journals (Sweden)

    Mădălina - Cristina Marian

    2015-12-01

    Full Text Available Following heavy rains, a landslide took place on a rural road which connects two national roads in Argeş County. The platform of the road has been destroyed to a great length, because of the heavy rains with high intensity and duration. The analyzed road is of great interest to the local population as it provides the access road of people from several villages. The current study aimed at the proposal of restoration works in order to diminish the effects of the natural disaster on this road. The area was firstly studied topographically, then from a climatic, geological and even cadastral point of view (legal and economic. According to the undertaken studies, a series of works were proposed in order to deal with the current situation, but also to reduce the risk of landslide reactivation. The proposed works were classical works of land reclamation, such as gabions. It is important for the solutions to be simple, found in due time and have logical directions to be followed in the future.

  10. Roads at Pipe Spring National Monument, Arizona 2006 (roads)

    Data.gov (United States)

    National Park Service, Department of the Interior — This is an Arc/Info coverage consisting of 30 arcs representing the roads in Pipe Spring National Monument, Arizona. Twenty-five of the road arcs were collected by a...

  11. Silk Road policy

    Energy Technology Data Exchange (ETDEWEB)

    Nishikawa, Y. [Mitsui Mineral Development Engineering Co., Tokyo (Japan)

    1999-04-01

    Landlocked Asia is blessed with rich mineral and energy resources and has great potential to supply these resources to Europe and eastern Asia. With globalisation of markets progressing rapidly, central Asia is now in the spotlight for its economic activity, as a route for international trade and as the heartland of the `Modern Silk Road` of the 21st century. The article discusses the mineral resources of central Asia, covering Kazakhstan, Uzbekistan, Turkmenistan, Kyrghystan, Xingjiang, and Mongolia. Energy resources of the region, coal, oil and natural gas, are mentioned. International organizations and industrial companies like Japan are supporting the transformation of these vast largely unexplored areas to market economies. Construction of the New Silk Road has begun, under the UNDP, and improvement of the Silk Road railway is also underway, with Japanese funding. 3 figs.

  12. eRoads

    DEFF Research Database (Denmark)

    Connolly, David

    in the energy demand and carbon dioxide emissions, since they also enable heavy-duty transport to be electrified such as trucks and buses. It is unlikely that these forms of transport will be electrified without electric roads, due to the relatively high cost of on-board battery storage....... battery capacity required for electric vehicles if they are not installed. The electric road and battery electric vehicle scenarios are more efficient and produce less carbon dioxide emissions than their corresponding oil scenarios for two key reasons: 1) the vehicles are more efficient and 2) electric...

  13. Road crash costs.

    OpenAIRE

    2010-01-01

    Road crashes result in all kinds of social costs, such as medical costs, production loss, human losses, property damage, settlement costs and costs due to congestion. Studies into road crash costs and their trends are carried out quite regularly. In 2009, the costs amounted to € 12.5 billion, or 2.2% of the Gross Domestic Product (GDP). Insight into these costs is used for policy preparation and evaluation, and makes it possible to compare them with costs in other areas. Another important app...

  14. Road safety performance indicators for the interurban road network.

    NARCIS (Netherlands)

    Yannis, G. Weijermars, W.A.M. Gitelman, V. Vis, M. Chazirisa, A. Papadimitriou, E. & Lima Azevedo, C.

    2013-01-01

    Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The o

  15. Road safety performance indicators for the interurban road network.

    NARCIS (Netherlands)

    Yannis, G. Weijermars, W.A.M. Gitelman, V. Vis, M. Chazirisa, A. Papadimitriou, E. & Lima Azevedo, C.

    2013-01-01

    Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The o

  16. County and Parish Boundaries, Published in 2000, 1:24000 (1in=2000ft) scale, Coastal Georgia RDC.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Road Centerline Files information as of 2000....

  17. 75 FR 71414 - Questa Ranger District, Carson National Forest; Taos County, NM; Taos Ski Valley's 2010 Master...

    Science.gov (United States)

    2010-11-23

    ... in the Sangre de Cristo Mountains, about 20 miles northeast of Taos, New Mexico, at the terminus of State Road 150, on the Rio Hondo, in Taos County. The Forest Service is proposing to authorize...

  18. Kansas Road Centerline Fle (KRCF)

    Data.gov (United States)

    Kansas Data Access and Support Center — This version of the Kansas Road Centerline File (0801) represents the first effort to create a statewide roads layer from best available data sources. KGS integrated...

  19. VT E911 Road Centerlines

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) EmergencyE911_RDS was originally derived from RDSnn (now called TransRoad_RDS). "Zero-length ranges" in the ROADS layer pertain to grand-fathered...

  20. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  1. Allegheny County Air Quality

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Air quality data from Allegheny County Health Department monitors throughout the county. Air quality monitored data must be verified by qualified individuals before...

  2. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  3. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  4. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  5. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  6. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  7. Supervising road safety in Peru

    OpenAIRE

    Sagástegui, Freddy; Abogado, Adjuntía para el Medio Ambiente, Servicios Públicos y Pueblos Indígenas, Defensoría del Pueblo. Lima, Perú.

    2010-01-01

    In this article some problems in road safety are described, which have been detected by the Ombudsman of Peru, as part of its role of public administration supervisor, amongst these problems we mention: lack of and inadequate elaboration of the statistics on road traffic accidents, the inconsistency of the National Council for Road Security and the lack of responsibility of the local and regional governments reflected by the lack of application of the National Plan of Road Safety. facing ...

  8. Road construction in underground mines

    Energy Technology Data Exchange (ETDEWEB)

    Benke, L.; Benkovics, I.

    1985-01-01

    The need and reasons of road construction for rubber-tyre vehicles in various mine sections are examined. A detailed analysis is given of the direct and indirect influences of underground haulage ways and transport roads on the parameters of mine performance. The various mine road construction technologies are overviewed. Experiences are presented with road construction in the Mecsek Ore Mines Company, Plant 3, Hungary. The cost factors of four construction technologies are compared.

  9. Auctioning Concessions for Private Roads

    NARCIS (Netherlands)

    Ubbels, Barry; Verhoef, Erik

    2004-01-01

    Private toll roads are now seriously considered as an alternative to public (free-access) road infrastructure. Nevertheless, complete private provision without governmental control is only rarely considered. A main consideration against private roads would be that operators would be primarily intere

  10. Run-off-road crashes.

    NARCIS (Netherlands)

    2014-01-01

    In the Netherlands, one-third of all fatalities and one-sixth of all seriously injured are the consequence of run-off-road crashes. The outcome of run-off-road crashes is relatively severe, one fatality in five seriously injured, which is twice the average in the Netherlands. Serious run-off-road cr

  11. The Road Home

    Science.gov (United States)

    O'Shaughnessy, Molly

    2016-01-01

    "Children have the potential to create a world we cannot imagine. This is our hope." In choosing Montessori, O'Shaughnessy says that we are choosing the road less traveled. We are choosing education as an aid to life. We are choosing an approach that respects the innate and unique potential of each child and that calls upon us to serve…

  12. Road-rail vehicle

    NARCIS (Netherlands)

    Evers, J.J.M.

    2002-01-01

    A transport vehicle equipped with a number of first wheel sets, having wheels provided with tires, to which steering means and driving means, if any, are coupled to enable the transport vehicle to be moved over a road surface. The transport vehicle further comprises at least one second wheel set, ha

  13. EARTH ROADS ARE EASY

    Directory of Open Access Journals (Sweden)

    David O. Whitten

    2000-01-01

    Full Text Available The earliest European immigrants in America traveled on waterways and on pathways worn into the earth by animals and Native Americans. Once their communities began to thrive, settlers widened paths and cleared new roads and streets then began experimenting with inexpensive surfacing to reduce dust in dry weather and mud in wet. “Earth Roads Are Easy” investigates materials and techniques used to maintain primitive thoroughfares with a minimum of effort and expense. The options range from the mundane—clay, sand, gravel, calcium chloride, oil, and tar—to the extraordinary—water glass, adobe clay, beet juice, and carpeting.There is no more dfficult problem confronting highway engineers than that of properly constructing and maintaining an earth road. The work may be less spectacular than the construction and maintenance of hard-surfaced roads, but there is greater latitude in location, methods of construction and choice of materials, consequently there is more scope for the exercise of sound judgment on the part of the engineer.1

  14. The great West Road

    CERN Multimedia

    1975-01-01

    From right to centre the 'Nationale 84' relying Meyrin to Saint-Genis. The fence limits Lab I on that side. From bottom the road leading to the double inclined tunnel linking Lab I and Lab II. On the foreground the ISR building (left) and the West Hall (centre).

  15. Mayan Forest Road Projects

    DEFF Research Database (Denmark)

    Conde, Dalia Amor

    2008-01-01

    Road-building projects in the Mayan Biosphere Reserve to connect Mexico and Guatemala were subjected to a cost-benefit evaluation. Up to an estimated 311,000 hectares of jaguar habitat were found to be at risk of deforestation due to these projects. Some of the projects were shown to have negativ...

  16. Road and Street Centerlines, Roads, road surfaces, Published in 2009, Central College.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , was produced all or in part from Not Provided information as of 2009. It is described as 'Roads, road surfaces'. Data by this publisher are often provided in UTM...

  17. 河北省昌黎县城北外环至碣石山脚下鸟类初步调查%A Preliminary Survey of birds in the Area of Northern Outer Ring Road of County Town of Changli to the Foot of Jieshi Mountain , Heibei

    Institute of Scientific and Technical Information of China (English)

    张波; 张冀宁; 欧秀云

    2012-01-01

    Birds in the area of northern outer ring road of county town of Changli to the foot of Jieshi Mountain of Hebei were investigated during the period from October 2009 to October 2011. There are 99 species which belong to 14 orders,37 families. Among these,72 species are distributed in the Palaearctic region,7 species in the Oriental region and 20 species are widely distributed. 22 species are residents, 21 species are summer breeders, 11 species are winter species and 45 species are transient migrants. Dominant species include Barn Swallow ( Hirundo mstica), Common Magpie ( Pica pica) and Eurasian Tree Sparrow ( Passer montanus) ; Common species including Eurasian Collared Dove ( Streptopelia decaocto), Red-rumped Swallow ( Hirundo daurica) ,Chinese Bulbul (Pycnonotus sinensis),Brown Shrike (Lanius cristatus),Red-billed Blue Magpie (Urocissa erythrorhyncha),Red-billed Chough (Pyrrhooorax pyrrhocorax), Naumann' s Thrush (Turdus nau- manni), Yellow-browed Warbler (Phylloseopus inomatus) and Little Bunting (Emberiza pusiUa). Among these birds ,there are 7 species which belong to the second class of the national protected birds and 19 species of the Hebei Province emphatically protected birds.%2009年10月至2011年10月,对河北省昌黎县城北外环路至碣石山脚下的鸟类进行了初步调查,共记录野生鸟类14目37科99种。其中古北种72种,东洋种7种,广布种20种;留鸟22种,夏候鸟21种,冬候鸟11种,旅鸟45种;家燕(Hirundorustica)、喜鹊(Picapica)和麻雀(Passermontanus)为优势种;灰斑鸠(Strep.topdiadecaocto)、金腰燕(Hinmdodaurica)、白头鹎(Pycnonotussinensis)、红尾伯劳(Laniuscristatus)、红嘴蓝鹊(Urocissaerythrorhyncha)、红嘴山鸦( Pyrrhocorax pyrrhocorax )、红尾鸫(Turdus naumanni)、黄眉柳莺(PhyUosco-pusinornatus)和小鸦(Emberizapusilla)为常见种。

  18. Verification of road databases using multiple road models

    Science.gov (United States)

    Ziems, Marcel; Rottensteiner, Franz; Heipke, Christian

    2017-08-01

    In this paper a new approach for automatic road database verification based on remote sensing images is presented. In contrast to existing methods, the applicability of the new approach is not restricted to specific road types, context areas or geographic regions. This is achieved by combining several state-of-the-art road detection and road verification approaches that work well under different circumstances. Each one serves as an independent module representing a unique road model and a specific processing strategy. All modules provide independent solutions for the verification problem of each road object stored in the database in form of two probability distributions, the first one for the state of a database object (correct or incorrect), and a second one for the state of the underlying road model (applicable or not applicable). In accordance with the Dempster-Shafer Theory, both distributions are mapped to a new state space comprising the classes correct, incorrect and unknown. Statistical reasoning is applied to obtain the optimal state of a road object. A comparison with state-of-the-art road detection approaches using benchmark datasets shows that in general the proposed approach provides results with larger completeness. Additional experiments reveal that based on the proposed method a highly reliable semi-automatic approach for road data base verification can be designed.

  19. Los Alamos County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. Santa Fe County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Roads for Torrance County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  2. Roads for Los Alamos County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  3. Roads for Lea County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  4. Roads for Union County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  5. Roads for Dona Ana County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  6. Roads for San Juan County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  7. Rio Arriba County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Dona Ana County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Roads for Socorro County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  10. McKinley County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Roads for Harding County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  12. Roads for Hidalgo County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  13. Roads for Santa Fe County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  14. Road and Street Centerlines, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , was produced all or in part from Published Reports/Deeds information as of 2006. Data by this publisher are often provided in State Plane coordinate system; in a...

  15. De Baca County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Roads for San Miguel County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  17. Roads for De Baca County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  18. Roads for Catron County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  19. Roads for Otero County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  20. Roads for Chaves County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  1. San Juan County TIGER 2000 Roads and Nodes

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Roads for Luna County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  3. Is road safety management linked to road safety performance?

    Science.gov (United States)

    Papadimitriou, Eleonora; Yannis, George

    2013-10-01

    This research aims to explore the relationship between road safety management and road safety performance at country level. For that purpose, an appropriate theoretical framework is selected, namely the 'SUNflower' pyramid, which describes road safety management systems in terms of a five-level hierarchy: (i) structure and culture, (ii) programmes and measures, (iii) 'intermediate' outcomes'--safety performance indicators (SPIs), (iv) final outcomes--fatalities and injuries, and (v) social costs. For each layer of the pyramid, a composite indicator is implemented, on the basis of data for 30 European countries. Especially as regards road safety management indicators, these are estimated on the basis of Categorical Principal Component Analysis upon the responses of a dedicated road safety management questionnaire, jointly created and dispatched by the ETSC/PIN group and the 'DaCoTA' research project. Then, quasi-Poisson models and Beta regression models are developed for linking road safety management indicators and other indicators (i.e. background characteristics, SPIs) with road safety performance. In this context, different indicators of road safety performance are explored: mortality and fatality rates, percentage reduction in fatalities over a given period, a composite indicator of road safety final outcomes, and a composite indicator of 'intermediate' outcomes (SPIs). The results of the analyses suggest that road safety management can be described on the basis of three composite indicators: "vision and strategy", "budget, evaluation and reporting", and "measurement of road user attitudes and behaviours". Moreover, no direct statistical relationship could be established between road safety management indicators and final outcomes. However, a statistical relationship was found between road safety management and 'intermediate' outcomes, which were in turn found to affect 'final' outcomes, confirming the SUNflower approach on the consecutive effect of each layer.

  4. The road coloring problem

    CERN Document Server

    Trahtman, A N

    2007-01-01

    The synchronizing word of deterministic automaton is a word in the alphabet of colors (considered as letters) of its edges that maps the automaton to a single state. A coloring of edges of a directed graph is synchronizing if the coloring turns the graph into deterministic finite automaton possessing a synchronizing word. The road coloring problem is a problem of synchronizing coloring of directed finite strongly connected graph with constant outdegree of all its vertices if the greatest common divisor of lengths of all its cycles is one. The problem was posed by Adler, Goodwyn and Weiss over 30 years ago and evoked a noticeable interest among the specialists in theory of graphs, deterministic automata and symbolic dynamics. The problem is described even in "Vikipedia" - the popular Internet Encyclopedia. The positive solution of the road coloring problem is presented.

  5. Road Traffic Noise

    Science.gov (United States)

    Beckenbauer, Thomas

    Road traffic is the most interfering noise source in developed countries. According to a publication of the European Union (EU) at the end of the twentieth century [1], about 40% of the population in 15 EU member states is exposed to road traffic noise at mean levels exceeding 55 dB(A). Nearly 80 million people, 20% of the population, are exposed to levels exceeding 65 dB(A) during daytime and more than 30% of the population is exposed to levels exceeding 55 dB(A) during night time. Such high noise levels cause health risks and social disorders (aggressiveness, protest, and helplessness), interference of communication and disturbance of sleep; the long- and short-term consequences cause adverse cardiovascular effects, detrimental hormonal responses (stress hormones), and possible disturbance of the human metabolism (nutrition) and the immune system. Even performance at work and school could be impaired.

  6. Environmentally friendly road construction

    Directory of Open Access Journals (Sweden)

    A.I. Essawy

    2013-06-01

    Full Text Available Environmental pollution is a major problem in developing countries like Egypt. Reuse of waste polymers is considered an attractive solution for environmental white pollution and reducing of the costs of road pavement and maintenance. This research aims to prepare environmentally friendly hot mix asphalt (HMA for paving using some industrial wastes as polypropylene and polyester fibers. The solid materials in the mix include normal and highly porous aggregates. 5% and 10% of waste polymers by weight of the asphalt were used to prepare special binders. The samples were tested for their physical properties, chemical properties, aging, scanning electron microscopy (SEM and thermo-gravimetric analysis (TGA. The results revealed that the prepared HMA using 5% of waste polymer had high performance as compared to the ordinary one and the waste polymer could be used in road construction.

  7. Competitiveness in Road Transport

    DEFF Research Database (Denmark)

    Borgström, Benedikte; Gammelgaard, Britta; Bruun, Poul

    take into account logistics service supplier strategic management. We also contribute with better understanding of value creation in order to escape commoditization and differentiate services through relationships (customers and/or other hauliers). Practical implications concern hauliers’ strategy...... a competitive value proposition? We will illustrate the strategy-as-practice with two projects, and discuss implications in terms of capabilities needed to create an effective value proposition and hence competitiveness. The theoretical contribution is in theorizing haulier strategic development in which we...... in the market also encourage strategic development of some road hauliers into providers of unique services. Such road haulier strategic development contributes to efficiency and effectiveness in basically all business sectors of EU. Little research is available of such strategic and operational management...

  8. Tweets on the road

    CERN Document Server

    Lenormand, Maxime; Colet, Pere; Ramasco, José J

    2014-01-01

    The pervasiveness of mobile devices, which is increasing daily, is generating a vast amount of geo-located data allowing us to gain further insights into human behaviors. In particular, this new technology enables users to communicate through mobile social media applications, such as Twitter, anytime and anywhere. Thus, geo-located tweets offer the possibility to carry out in-depth studies on human mobility. In this paper, we study the use of Twitter in transportation by identifying tweets posted from roads and rails in Europe between September 2012 and November 2013. We compute the percentage of highway and railway segments covered by tweets in 39 countries. The coverages are very different from country to country and their variability can be partially explained by differences in Twitter penetration rates. Still, some of these differences might be related to cultural factors regarding mobility habits and interacting socially online. Analyzing particular road sectors, our results show a positive correlation b...

  9. August: Road Movies

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Eldorado France, 2008 85' Road movie Directed by: Bouly Lanners Cast: Bouly Lanners, Fabrice Adde Philippe Nahon Yvan is an auto salesman who makes a good living dealing in American luxury cars. One evening, Yvan comes home to discover a burglar has made his way into his home, and a quick search reveals the criminal, Elie is hiding under his bed, and when the thief finally emerges he turns out to be a junkie who is feeling the first stages of withdrawal.

  10. Snow Roads and Runways

    Science.gov (United States)

    1990-11-01

    CONSTRUCT ROADS FOR MARCHING COLUMNS ALL ARMS (1) Pass over the trace twice with (1) Two passes with the harrow the harrow. and roller. (2) After harrowing...should be accomplished by successive passes with beams or slabs to the towing bars. A method forballasting D-7 orD-8 tractortracks. Normally twoto five... waffle -type snow surface (Fig. 85)and is notas suitable for snow pavement surface has been previously compacted snow compaction as other types of rollers

  11. A novel approach to produce road-level inventories of on-road greenhouse gas and air pollutant emissions

    Science.gov (United States)

    Powell, J.; Butenhoff, C. L.

    2015-12-01

    Emissions inventories are an important tool often built by governments tomanage and assess greenhouse gases and other air pollutants. High resolutioninventories, both in space and time, are necessary to capture localcharacteristics of on-road transportation emissions in particular. Emissionsvary widely due to the local nature of the fleet, fuel, and roads and thisheterogeneity must inform effective emissions modeling on the urban level. Inaddition, widespread availability of low-cost computing now makes highresolution climate and air quality modeling feasible, but efforts to improveinventories have not kept pace. There currently is a lack of inventories atcomparable resolutions. This motivated similar work such as the VULCAN projectwhich used county-level data to estimate on-road emissions. We are motivatedto improve upon this by using site-level traffic count data where available.Here we show a new high resolution model of CO2 emissions for the Portland,OR metropolitan region. The backbone is an archive of traffic counterrecordings taken by the Portland Bureau of Transportation intermittently at9,352 sites over 21 years and continuing today (1986-2006 data are summarizedhere) and by The Portland Regional Transportation Archive Listing at 309freeway sites. We constructed a regression model to fill in traffic networkgaps using GIS data such as road class and population density. After stepwisetesting of each of eighteen road classes (from minor streets to freeway), wewere able to select ten variables that are significant (P traffic; particularly freeway, unimproved road, and minor streets. Themodel was tested by holding back one-third of the data. The R2 for the linearmodel (based on road class and land use) is 0.84. The EPA MOVES model was thenused to estimate transportation CO2 emissions using local fleet, traffic, andmeteorology data.

  12. Assessing Road Traffic Expression

    Directory of Open Access Journals (Sweden)

    Fábio Silva

    2014-12-01

    Full Text Available Road traffic is a problem which is increasing in cities with large population. Unrelated to this fact the number of portable and wearable devices has also been increasing throughout the population of most countries. With this advent, the capacity to monitor and register data about people habits and locations as well as more complex data such as intensity and strength of movements has created an opportunity to contribute to the general wealth and comfort within these environments. Ambient Intelligence and Intelligent Decision Making processes can benefit from the knowledge gathered by these devices to improve decisions on everyday tasks such as deciding navigation routes by car, bicycle or other means of transportation and avoiding route perils. The concept of computational sustainability may also be applied to this problem. Current applications in this area demonstrate the usefulness of real time system that inform the user of certain conditions in the surrounding area. On the other hand, the approach presented in this work aims to describe models and approaches to automatically identify current states of traffic inside cities and use methods from computer science to improve overall comfort and the sustainability of road traffic both with the user and the environment in mind. Such objective is delivered by analyzing real time contributions from those mobile ubiquitous devices to identifying problematic situations and areas under a defined criteria that have significant influence towards a sustainable use of the road transport infrastructure.

  13. 61 FR 11863 - Vehicle Management Area Designation and Road Closure Order; Ada, Elmore, Canyon, and Owyhee...

    Science.gov (United States)

    1996-03-22

    ... Vehicle Management Area Designation and Road Closure Order; Ada, Elmore, Canyon, and Owyhee Counties, ID... except for those portions of the NCA currently included within the Owyhee Front Special Recreation... Bruneau, Kuna, and Owyhee Management Framework Plans, and the Jarbidge Resource Management Plan....

  14. Road traffic injuries in Mozambique.

    Science.gov (United States)

    Romão, Francelina; Nizamo, Hanifa; Mapasse, Domingos; Rafico, Momede Mussá; José, João; Mataruca, Simão; Efron, M Lúcia; Omondi, Lucas O; Leifert, Thelma; Bicho, Joaquim M L Marungo

    2003-01-01

    Road traffic injuries affect the economy, health and quality of life of the people of Mozambique. Current road safety programmes are inadequate and inefficient given the magnitude of the problem. Data reported on road traffic crashes in the period 1990 to 2000 from the National Institute for Road Safety, the traffic police and the Central Hospital of Maputo were reviewed. The burden of road traffic injuries in Mozambique is rising, with at least three people killed daily. The age group most affected is 25-38 (39.35%), followed by 16-24 (20.79%). The main causes of crashes include reckless driving, drunken driving, roads with potholes, inadequate signs, lack of protection for pedestrians, and inadequate traffic law enforcement. However, the data are not adequate to reveal the true magnitude of the problem. Data collected by different sources are incomplete and not coordinated with other sources and databases. In urban areas, however, better response to crashes, treatment of the injured, reporting and data collection is attributable to a greater concentration of police and medical facilities. Road traffic safety programmes in Mozambique are inadequate and inefficient, starting with the data collection system. Improvement of injury surveillance systems is needed to help make road traffic safety a national development agenda priority and for developing and implementing road safety policies. For road safety programmes to be effective, government must facilitate stakeholders' involvement, and the clear definition of government activities, civil society activities and public-private partnerships need to be established.

  15. Optimal Road Capacity Building : Road Planning by Marginal Cost Pricing

    OpenAIRE

    NEMOTO, Toshinori; Misui, Yuki; Kajiwara, Akira

    2009-01-01

    The purpose of this study is to propose a new road planning and financing scheme based on short-term social marginal cost pricing that facilitates the establishment of optimal road standards in the long term. We conducted a simulation analysis based on the proposed planning scheme and observed that the simulation calculated the optimal road capacity in the future, and thus proved that the new planning scheme is feasible.

  16. Road Edge of Pavement, City of Emporia edge of pavement. The data was collected from aerial photos in 1995. The data has not been updated., Published in 1995, 1:2400 (1in=200ft) scale, City of Emporia/Lyon County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Road Edge of Pavement dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 1995. It is described as...

  17. Gender stereotypes among road users

    OpenAIRE

    Dontsov, Alexander; Kabalevskaya, Alexandra

    2013-01-01

    This article analyzes the mechanism of stereotyping as exemplified by gender stereotypes of road users. Gender stereotypes are not only viewed as an a priori image of a percept, but also examined ‘in action’ at the very moment of their actualization with road users. In the paper we have identified the content of road users’ gender stereotypes; analyzed the behaviour of male and female drivers, pinpointing a number of gender-specific behavioural features; demonstrated that male and female driv...

  18. 24 CFR 1710.110 - Roads.

    Science.gov (United States)

    2010-04-01

    ... (4) Who is responsible for road maintenance? If the roads are to be maintained by a public authority... for maintaining the roads and that, if maintenance is not performed, the roads may soon deteriorate... 24 Housing and Urban Development 5 2010-04-01 2010-04-01 false Roads. 1710.110 Section...

  19. Road traffic noise and stroke

    DEFF Research Database (Denmark)

    Sørensen, Mette; Hvidberg, Martin; Andersen, Zorana J

    2011-01-01

    Epidemiological studies suggest that long-term exposure to road traffic noise increases the risk of cardiovascular disorders. The aim of this study was to investigate the relation between exposure to road traffic noise and risk for stroke, which has not been studied before.......Epidemiological studies suggest that long-term exposure to road traffic noise increases the risk of cardiovascular disorders. The aim of this study was to investigate the relation between exposure to road traffic noise and risk for stroke, which has not been studied before....

  20. Road Works Ahead

    Institute of Scientific and Technical Information of China (English)

    Gertrude; Majyambere

    2011-01-01

    China to invest $532 million in Rwanda in 2011 CHINA will invest about $532 million in Rwanda this year,mainly targeting critical economic engines such as building roads and vocational schools,said Shu Zhan,Chinese Ambassador to Rwanda,in early February. "We need to have adequate field surveys,wide consultation and detailed ’homework,’ in order to come up with tailor-made solutions that meet local needs," Shu said in an interview with ChinAfrica.

  1. RoadTrip Charcoal

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Apple iPod系列产品最让人遗憾的地方,就是缺少对于调频收音机的支持。所以我们只好通过各种配件为它增加功能。这款RoadTrip“巧克力”,不仅能让iPod增加收音机的功能,还可以通过调频把iPod中的音乐发出出来。

  2. Road traffic injuries

    Institute of Scientific and Technical Information of China (English)

    WANG Zheng-guo 王正国

    2003-01-01

    @@ The appearance of cars has raised materialistic civilization and living standard to an unprecedented level. Today, it is hard to imagine how we human beings can live without cars.Yet, motor vehicles can cause a great number of deaths and injuries as well as considerable economic losses, which have constituted the global burden. Understanding of the occurrence and development of road traffic injuries will contribute to the prevention and control of crash and to the implementation of "everybody has the right to enjoy health" proposed by WHO.

  3. Road Traffic Injuries

    Institute of Scientific and Technical Information of China (English)

    WANG Zheng-guo

    2005-01-01

    @@ As everybody knows that automobiles have been greatly changing our life. However, everything has two sides, motor vehicles have also caused a huge number of people's deaths, injuries and property damage. Traffic crashes are perhaps the number one public health problem in developed countries [1]. In the United States, pre-retirement years of life lost in traffic crashes are more than that of the two combined leading diseases: cancer and heart disease [1]. Today road traffic crash (RTC) ranks 11th in leading cause of death and accounts for 2.1% of all deaths globally.

  4. Hennepin County`s experience with heavy-duty ethanol vehicles

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    From November 1993 to October 1996, Hennepin County, which includes Minneapolis, field-tested two heavy-duty snowplow/road maintenance trucks fueled by ethanol. The overall objective of this program was to collect data from original equipment manufacturer alternative fuel heavy-duty trucks, along with comparable data from a similarly configured diesel-powered vehicle, to establish economic, emissions, performance, and durability data for the alternative fuel technology. These ethanol trucks, along with an identical third truck equipped with a diesel engine, were operated year round to maintain the Hennepin county roads. In winter, the trucks were run in 8-hour shifts plowing and hauling snow from urban and suburban roads. For the rest of the year, the three trucks were used to repair and maintain these same roads. As a result of this project, a considerable amount of data was collected on E95 fuel use, as well as maintenance, repair, emissions, and operational characteristics. Maintenance and repair costs of the E95 trucks were considerably higher primarily due to fuel filter and fuel pump issues. From an emissions standpoint, the E95 trucks emitted less particulate matter and fewer oxides of nitrogen but more carbon monoxide and hydrocarbons. Overall, the E95 trucks operated as well as the diesel, as long as the fuel filters were changed frequently. This project was a success in that E95, a domestically produced fuel from a renewable energy source, was used in a heavy-duty truck application and performed the same rigorous tasks as the diesel counterparts. The drawbacks to E95 as a heavy-duty fuel take the form of higher operational costs, higher fuel costs, shorter range, and the lack of over-the-road infrastructure.

  5. Improving road safety: Experiences from the Netherlands

    NARCIS (Netherlands)

    Hagenzieker, M.P.

    2012-01-01

    Dr. Hagenzieker's research and education activities focus on the road safety effects of the transport system, with particular interest in road user behaviour aspects. Her PhD-research was on the effects of rewards on road user behaviour.

  6. In–Service Road Safety Audits

    National Research Council Canada - National Science Library

    A. Mendoza–Díaz; E. Abarca–Pérez; A.G. Centeno–Saad

    2009-01-01

    A road safety audit is a formal analysis that seeks to guarantee that an existing or future road fulfills optimal safety criteria, conducted by a team of experts who se members are independent of the road project...

  7. Alternatives of Strategic Environmental Assessment for Road Traffic Development Planning-Case of Changchun City, China

    Institute of Scientific and Technical Information of China (English)

    CHEN Chong; XU Ye; SHANG Jincheng; Gordon HUANG

    2009-01-01

    On analyzing the achievement of the goal in the modern urban road traffic development planning, the alternative of Strategic Environmental Assessment for urban traffic planning should include the basic scheme, the extended scheme and the environmental protection scheme. This study from different perspectives designed the alternatives for Changchun's county-level road and urban road system planning, and used the method of System Dynamics to simulate, optimize and analyze those alternatives. Thereafter, some methods including the correlation function method were used to comprehensively assess and rank those alternatives for recommending two best alternatives with the consideration to the indicators, such as the total emission amount of CO, the total emission amount of nitrogen oxides, the noise value, the road construction cost, the fossil oil consumption and the traffic capacity. The result showed that the study would provide substantial supports for decision-makers to make more scientific decisions and promote the sustainable urban traffic in Changchun City.

  8. All Road Density (18km)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Density (km / km^2) of all roads in the western United States. Dataset was developed to generalize the 2000 US Census TIGER/Line Roads layer to a density within 18km...

  9. Road safety in developing countries.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1991-01-01

    This paper presents a classification of countries (developing and developed alike), divided into two main categories: an economical and historical entry. When road safety problems are placed into the economical context, it then appears that, among other things: (1) The road safety problem in the ind

  10. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  11. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  12. Allegheny County Property Assessments

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Real Property parcel characteristics for Allegheny County, PA. Includes information pertaining to land, values, sales, abatements, and building characteristics (if...

  13. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary...

  14. Allegheny County Parks Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the size and shape of the nine Allegheny County parks. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  15. Allegheny County Depression Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  16. Allegheny County Diabetes Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data includes the number of people hospitalized with diabetes between 2013-2015, by age group, for Allegheny County Zip Codes.

  17. Allegheny County Plumbers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — All master plumbers must be registered with the Allegheny County Health Department. Only Registered Master Plumbers who possess a current plumbing license or...

  18. Allegheny County Dam Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the point locations of dams in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  19. Westmoreland County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Westmoreland County from 2011 to 2015. Fields include injury severity,...

  20. Allegheny County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Allegheny County from 2004 to 2015. Fields include injury severity,...

  1. County Population Vulnerability

    Data.gov (United States)

    City and County of Durham, North Carolina — This layer summarizes the social vulnerability index for populations within each county in the United States at scales 1:3m and below. It answers the question...

  2. Beaver County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Beaver County from 2011 to 2015. Fields include injury severity, fatalities,...

  3. Washington County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Washington County from 2011 to 2015. Fields include injury severity,...

  4. Allegheny County Obesity Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Obesity rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  5. Allegheny County Major Rivers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of major rivers that flow through Allegheny County. These shapes have been taken from the Hydrology dataset. The Ohio River,...

  6. Allegheny County Boundary

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the Allegheny County boundary. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  7. Allegheny County Smoking Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  8. Allegheny County Hospitals

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of...

  9. Allegheny County Homicides

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The dataset has location information on homicides that occurred in Allegheny County from 2002-2014. Age group, gender, and race and year of death have been...

  10. Allegheny County Parcel Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains parcel boundaries attributed with county block and lot number. Use the Property Information Extractor for more control downloading a filtered...

  11. Allegheny County Property Viewer

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Webmap of Allegheny municipalities and parcel data. Zoom for a clickable parcel map with owner name, property photograph, and link to the County Real Estate website...

  12. Allegheny County Tobacco Vendors

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The tobacco vendor information provides the location of all tobacco vendors in Allegheny County in 2015. Data was compiled from administrative records managed by...

  13. Allegheny County Asbestos Permits

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Asbestos permit data issued by the County for commercial building demolitions and renovations as required by the EPA. This file is updated daily and can be...

  14. Allegheny County Anxiety Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  15. Butler County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Butler County from 2011 to 2015. Fields include injury severity, fatalities,...

  16. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data provides hypertension prevalence data for each Zip Code in Allegheny County. The information was produced by Pennsylvania Health Care Cost Containment...

  17. Allegheny County Traffic Counts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. Data included in the Health...

  18. Gender Stereotypes among Road Users

    Directory of Open Access Journals (Sweden)

    Kabalevskaya, Alexandra I.

    2013-09-01

    Full Text Available This article analyzes the mechanism of stereotyping as exemplified by gender stereotypes of road users. Gender stereotypes are not only viewed as an a priori image of a percept, but also examined ‘in action’ — at the very moment of their actualization with road users. In the paper we have identified the content of road users’ gender stereotypes; analyzed the behaviour of male and female drivers, pinpointing a number of gender-specific behavioural features; demonstrated that male and female driving differ from each other in terms of speed, intensity and roughness; and identified the conditions and mechanisms underlying the actualization of gender stereotypes. Based on video and audio materials, we have found that drivers’ gender-specific behavioural features are perceivable to road users: such features trigger the actualization of gender stereotypes as attributive schemes, which determine the interaction between road users, while also laying the foundation for gender stereotypes.

  19. Air Manganese Levels and Chronic Liver Disease Mortality in North Carolina Counties: An Ecological Study

    Directory of Open Access Journals (Sweden)

    John G. Spangler

    2012-09-01

    Full Text Available Manganese is an essential trace element which is toxic in high doses. Over the past several decades, manganese has replaced lead as the anti-knock agent in gasoline, raising concern about air and road-side contamination with this element. In addition, manganese is absorbed by the liver, making specific populations (e.g., pregnant women, infants and children, and patients with liver disease susceptible to its toxic effects. Using data from the US Census Bureau, the North Carolina State Center for Health Statistics, and the US Environmental Protection Agency, this ecological study evaluated chronic liver disease mortality rates in North Carolina’s 100 counties. It correlated these rates with county-level demographics as well as on-road and non-road air borne manganese concentrations. Median income by county was inversely associated with chronic liver disease mortality, while the logarithmically transformed airborne concentrations of on-road manganese were positively correlated with county-level chronic liver disease mortality. Because environmental manganese near roads is likely to increase over time, these pilot findings potentially have regulatory implications and argue for further research.

  20. Air manganese levels and chronic liver disease mortality in North Carolina counties: an ecological study.

    Science.gov (United States)

    Spangler, John G

    2012-09-05

    Manganese is an essential trace element which is toxic in high doses. Over the past several decades, manganese has replaced lead as the anti-knock agent in gasoline, raising concern about air and road-side contamination with this element. In addition, manganese is absorbed by the liver, making specific populations (e.g., pregnant women, infants and children, and patients with liver disease) susceptible to its toxic effects. Using data from the US Census Bureau, the North Carolina State Center for Health Statistics, and the US Environmental Protection Agency, this ecological study evaluated chronic liver disease mortality rates in North Carolina's 100 counties. It correlated these rates with county-level demographics as well as on-road and non-road air borne manganese concentrations. Median income by county was inversely associated with chronic liver disease mortality, while the logarithmically transformed airborne concentrations of on-road manganese were positively correlated with county-level chronic liver disease mortality. Because environmental manganese near roads is likely to increase over time, these pilot findings potentially have regulatory implications and argue for further research.

  1. Road safety performance indicators for the interurban road network.

    Science.gov (United States)

    Yannis, George; Weijermars, Wendy; Gitelman, Victoria; Vis, Martijn; Chaziris, Antonis; Papadimitriou, Eleonora; Azevedo, Carlos Lima

    2013-11-01

    Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The objective of this research is the development of an SPI for the road network, to be used as a benchmark for cross-region comparisons. The developed SPI essentially makes a comparison of the existing road network to the theoretically required one, defined as one which meets some minimum requirements with respect to road safety. This paper presents a theoretical concept for the determination of this SPI as well as a translation of this theory into a practical method. Also, the method is applied in a number of pilot countries namely the Netherlands, Portugal, Greece and Israel. The results show that the SPI could be efficiently calculated in all countries, despite some differences in the data sources. In general, the calculated overall SPI scores were realistic and ranged from 81 to 94%, with the exception of Greece where the SPI was relatively lower (67%). However, the SPI should be considered as a first attempt to determine the safety level of the road network. The proposed method has some limitations and could be further improved. The paper presents directions for further research to further develop the SPI.

  2. Silk Roads or Steppe Roads? The Silk Roads in World History.

    Science.gov (United States)

    Christian, David

    2000-01-01

    Explores the prehistory of the Silk Roads, reexamines their structure and history in the classical era, and explores shifts in their geography in the last one thousand years. Explains that a revised understanding of the Silk Roads demonstrates how the Afro-Eurasian land mass has been linked by networks of exchange since the Bronze Age. (CMK)

  3. Road safety in practice

    CERN Multimedia

    2003-01-01

    On the 23 and 25 September come and test your driving skills and your reflexes on the two days of road safety in practice! To conclude the poster and article campaign on this topic which started last year, CERN now comes to the practical part with demonstrations, like a spectacular overturning test, information stands, where you can meet safety personnel from France, Switzerland and CERN, and discussions & debates. Come to ... ... the Meyrin site on 23 September: - From 8:30 hrs, stands and demonstrations on the parking site Cèdres, behind the Restaurant no. 1. - From 9:30 hrs, discussions and debates in the main auditorium. ... the Prévessin site on 25 September: - From 8:30 hrs, stands and demonstrations on the parking site of the building 866. - From 14:00 hrs, discussions and debates in the AB auditorium, building 864.

  4. Weather and road capacity

    DEFF Research Database (Denmark)

    Jensen, Thomas Christian

    2014-01-01

    The paper presents estimations of the effect of bad weather on the observed speed on a Danish highway section; Køge Bugt Motorvejen. The paper concludes that weather, primarily precipitation and snow, has a clear negative effect on speed when the road is not in hypercongestion mode. Furthermore......, the capacity of the highway seems to be reduced in bad weather and there are indications that travel time variability is also increased, at least in free-flow conditions. Heavy precipitation reduces speed and capacity by around 5-8%, whereas snow primarily reduces capacity. Other weather variables......-parametrically against traffic density and in step 2 the residuals from step 1 are regressed linearly against the weather variables. The choice of a non-parametric method is made to avoid constricting ties from a parametric specification and because the focus here is not on the relationship between traffic flow...

  5. Object-Based Classification of Abandoned Logging Roads under Heavy Canopy Using LiDAR

    Directory of Open Access Journals (Sweden)

    Jason Sherba

    2014-05-01

    Full Text Available LiDAR-derived slope models may be used to detect abandoned logging roads in steep forested terrain. An object-based classification approach of abandoned logging road detection was employed in this study. First, a slope model of the study site in Marin County, California was created from a LiDAR derived DEM. Multiresolution segmentation was applied to the slope model and road seed objects were iteratively grown into candidate objects. A road classification accuracy of 86% was achieved using this fully automated procedure and post processing increased this accuracy to 90%. In order to assess the sensitivity of the road classification to LiDAR ground point spacing, the LiDAR ground point cloud was repeatedly thinned by a fraction of 0.5 and the classification procedure was reapplied. The producer’s accuracy of the road classification declined from 79% with a ground point spacing of 0.91 to below 50% with a ground point spacing of 2, indicating the importance of high point density for accurate classification of abandoned logging roads.

  6. Road and Street Centerlines, Published in 2008, Chautauqua County/Elk County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , was produced all or in part from Not Provided information as of 2008. Data by this publisher are often provided in State Plane coordinate system; in a Lambert...

  7. 延庆县玉海路崩滑塌灾害的危险性评价及防治对策%Risk Evaluation and Protecting Method of the Collapse and Landslide Hazards on Both Sides of Yuhai Road in Yanqing County,Beijing

    Institute of Scientific and Technical Information of China (English)

    黄来源; 安立伟

    2011-01-01

    Yuhai Road is the gateway to Yudu Mountain Nature Reserve,and Most of the road is the mountainous section.There are a large number of unstable slopes with broken rock and geological structures.The road was built along the slope without disaster prevention project,so the collapse and landslide hazards often happen.In the past,pedestrians and vehicles have a greater threat although no casualties.This paper describes the characteristics and development of the collapse and landslide hazards along the Yuhai Road.With the introduction of two evaluation projects including susceptibility and harmful levels,the comprehensive evaluation and prevention method of disasters are discussed finally.%北京市延庆县玉海路是通往玉渡山自然保护区的必经之路,由于其大部分为开山路段,存在大量不稳定边坡;公路沿线边坡缺乏相关配套的灾害防治工程,经常发生崩塌、滑坡等地质灾害。本文介绍了玉海路沿线崩滑灾害特征,综合评价了其灾害危险性,进行了公路危险性分段,提出了防治对策。

  8. Road Network Selection Based on Road Hierarchical Structure Control

    Directory of Open Access Journals (Sweden)

    HE Haiwei

    2015-04-01

    Full Text Available A new road network selection method based on hierarchical structure is studied. Firstly, road network is built as strokes which are then classified into hierarchical collections according to the criteria of betweenness centrality value (BC value. Secondly, the hierarchical structure of the strokes is enhanced using structural characteristic identification technique. Thirdly, the importance calculation model was established according to the relationships among the hierarchical structure of the strokes. Finally, the importance values of strokes are got supported with the model's hierarchical calculation, and with which the road network is selected. Tests are done to verify the advantage of this method by comparing it with other common stroke-oriented methods using three kinds of typical road network data. Comparision of the results show that this method had few need to semantic data, and could eliminate the negative influence of edge strokes caused by the criteria of BC value well. So, it is better to maintain the global hierarchical structure of road network, and suitable to meet with the selection of various kinds of road network at the same time.

  9. Mineral resource assessment map of the Big Gum Swamp Roadless Area, Columbia and Baker counties, Florida

    Science.gov (United States)

    Cathcart, J.B.; Cameron, C.C.; Patterson, S.H.

    1986-01-01

    The Big Gum Swamp Roadless Area (figs, 1 and 2) comprises 13,600 acres in the north-central part of the Osceola National Forest in Columbia and Baker Counties, about 12 airline miles northeast of Lake City, Fla. The area is bounded by Forest Service road 211 and Florida highway 250 on the south, Forest Service roads 233 and 232 on the west and north, and Forest Service road 235 on the east. The area can be reached by traveling 11.7 mi on Florida Highway 250 northeast from its junction with U.S. Highway 441, north of Lake City to the junction of Highway 250 and Forest Service road 233, thence north 1.3 mi on the Forest Service road to the southern corner of the area.

  10. Road Safety: The Vital but Neglected Subject.

    Science.gov (United States)

    Hollins, Patsy

    1989-01-01

    Teacher training students (N=153) in England were surveyed about road safety education. Attitudes of students about their preparation for teaching road safety, ways of integrating road safety into the primary and secondary curriculum, and obstacles to teaching road safety in schools are discussed. (IAH)

  11. 3D Scene Priors for Road Detection

    NARCIS (Netherlands)

    Alvarez, J.M.; Gevers, T.; Lopez, A.M.

    2010-01-01

    Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, current vision-based road detection methods are usually based on low-level features and they assume structured roads, road

  12. 3D Scene Priors for Road Detection

    NARCIS (Netherlands)

    J.M. Alvarez; T. Gevers; A.M. Lopez

    2010-01-01

    Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, current vision-based road detection methods are usually based on low-level features and they assume structured roads, road homo

  13. The Rauischholzhausen agenda for road ecology

    NARCIS (Netherlands)

    Roedenbeck, I.A.; Fahrig, L.; Findlay, C.S.; Houlahan, J.E.; Jaeger, J.A.G.; Klar, N.; Kramer-Schadt, S.; Grift, van der E.A.

    2007-01-01

    Despite the documented negative effects of roads on wildlife, ecological research on road effects has had comparatively little influence on road planning decisions. We argue that road research would have a larger impact if researchers carefully considered the relevance of the research questions addr

  14. 3D Scene Priors for Road Detection

    NARCIS (Netherlands)

    Alvarez, J.M.; Gevers, T.; Lopez, A.M.

    2010-01-01

    Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, current vision-based road detection methods are usually based on low-level features and they assume structured roads, road homo

  15. Measuring (un)safety of roads.

    NARCIS (Netherlands)

    2009-01-01

    Measuring the safety level of a road is difficult. First of all you have to know how many crashes have occurred on a road. Various units of measurement are used for this: the absolute number of crashes per road, the number of crashes per road length, and the number of crashes per distance travelled.

  16. Measuring (un)safety of roads.

    NARCIS (Netherlands)

    2009-01-01

    Measuring the safety level of a road is difficult. First of all you have to know how many crashes have occurred on a road. Various units of measurement are used for this: the absolute number of crashes per road, the number of crashes per road length, and the number of crashes per distance travelled.

  17. The contribution of on-road studies of road user behaviour to improving road safety.

    Science.gov (United States)

    Lenné, Michael G

    2013-09-01

    For over 40 years transport safety researchers have been using methods of vehicle instrumentation to gain greater insights into the factors that contribute to road user crash risk and the associated crash factors. In the previous decade in particular the widespread availability of lower cost and more advanced methods of vehicle instrumentation and recording technologies are supporting the increasing number of on-road research studies worldwide. The design of these studies ranges from multi-method studies using instrumented test vehicles and defined driving routes, to field operational tests, through to much larger and more naturalistic studies. It is timely to assess the utility of these methods for studying the influences of driver characteristics and states, the design and operation of the road system, and the influences of in-vehicle technologies on behaviour and safety for various road user groups. This special issue considers the extent to which on-road studies using vehicle instrumentation have been used to advance knowledge across these areas of road safety research. The papers included in this issue illustrate how research using instrumented test vehicles continues to generate new knowledge, and how the larger scale United States and European naturalistic and field operational test studies are providing a wealth of data about road user behaviour in real traffic. This is balanced with a number of studies that present methodological developments in data collection and analysis methods that, while promising, need further validation. The use of on-road methods to accurately describe the behaviours occurring in everyday real-world conditions, to quantify risks for safety critical events, and an improved understanding of the factors that contribute to risk, clearly has huge potential to promote further road trauma reductions.

  18. How effective is road mitigation at reducing road-kill? A meta-analysis

    NARCIS (Netherlands)

    Rytwinski, Trina; Soanes, Kylie; Jaeger, Jochen A.G.; Fahrig, Lenore; Findlay, C.S.; Houlahan, Jeff; Ree, van der Rodney; Grift, van der Edgar A.

    2016-01-01

    Road traffic kills hundreds of millions of animals every year, posing a critical threat to the
    populations of many species. To address this problem there are more than forty types of
    road mitigation measures available that aim to reduce wildlife mortality on roads (road-kill).
    For road

  19. Impact of an adequate road environment on the safety of non-motorised road users

    CSIR Research Space (South Africa)

    Ribbens, H

    2008-01-01

    Full Text Available ) among these vulnerable road users (VRUs) have always been high and in 2004, they constituted about 41% i.e. 5 309 of the 12 727 road fatalities on South African roads. Non-motorised road users (NMRUs) comprise a variety of road users, mostly pedestrians...

  20. How effective is road mitigation at reducing road-kill? A meta-analysis

    NARCIS (Netherlands)

    Rytwinski, Trina; Soanes, Kylie; Jaeger, Jochen A.G.; Fahrig, Lenore; Findlay, C.S.; Houlahan, Jeff; Ree, van der Rodney; Grift, van der Edgar A.

    2016-01-01

    Road traffic kills hundreds of millions of animals every year, posing a critical threat to the
    populations of many species. To address this problem there are more than forty types of
    road mitigation measures available that aim to reduce wildlife mortality on roads (road-kill).
    For road p

  1. The Dilemma of Mountain Roads

    Science.gov (United States)

    Mountain roads and trails are proliferating throughout developing Southeast Asia with severe but largely unrecognized long-term consequences related to effects of landslides and surface erosion on communities and downstream resources.

  2. Modeling road-cycling performance.

    Science.gov (United States)

    Olds, T S; Norton, K I; Lowe, E L; Olive, S; Reay, F; Ly, S

    1995-04-01

    This paper presents a complete set of equations for a "first principles" mathematical model of road-cycling performance, including corrections for the effect of winds, tire pressure and wheel radius, altitude, relative humidity, rotational kinetic energy, drafting, and changed drag. The relevant physiological, biophysical, and environmental variables were measured in 41 experienced cyclists completing a 26-km road time trial. The correlation between actual and predicted times was 0.89 (P road-cycling performance are maximal O2 consumption, fractional utilization of maximal O2 consumption, mechanical efficiency, and projected frontal area. The model is then applied to some practical problems in road cycling: the effect of drafting, the advantage of using smaller front wheels, the effects of added mass, the importance of rotational kinetic energy, the effect of changes in drag due to changes in bicycle configuration, the normalization of performances under different conditions, and the limits of human performance.

  3. Road Weather and Connected Vehicles

    Science.gov (United States)

    Pisano, P.; Boyce, B. C.

    2015-12-01

    On average, there are over 5.8 M vehicle crashes each year of which 23% are weather-related. Weather-related crashes are defined as those crashes that occur in adverse weather or on slick pavement. The vast majority of weather-related crashes happen on wet pavement (74%) and during rainfall (46%). Connected vehicle technologies hold the promise to transform road-weather management by providing improved road weather data in real time with greater temporal and geographic accuracy. This will dramatically expand the amount of data that can be used to assess, forecast, and address the impacts that weather has on roads, vehicles, and travelers. The use of vehicle-based measurements of the road and surrounding atmosphere with other, more traditional weather data sources, and create road and atmospheric hazard products for a variety of users. The broad availability of road weather data from mobile sources will vastly improve the ability to detect and forecast weather and road conditions, and will provide the capability to manage road-weather response on specific roadway links. The RWMP is currently demonstrating how weather, road conditions, and related vehicle data can be used for decision making through an innovative Integrated Mobile Observations project. FHWA is partnering with 3 DOTs (MN, MI, & NV) to pilot these applications. One is a mobile alerts application called the Motorists Advisories and Warnings (MAW) and a maintenance decision support application. These applications blend traditional weather information (e.g., radar, surface stations) with mobile vehicle data (e.g., temperature, brake status, wiper status) to determine current weather conditions. These weather conditions, and other road-travel-relevant information, are provided to users via web and phone applications. The MAW provides nowcasts and short-term forecasts out to 24 hours while the EMDSS application can provide forecasts up to 72 hours in advance. The three DOTs have placed readers and external

  4. LOGISTICS FLOWS IN THE ROAD SECTOR

    OpenAIRE

    Tsarenkova, I. M.

    2007-01-01

    Logistical torrents in the system of road economy is consider and distinctive sings which evoke peculiarity his activity and specific quality, be formed. During execution of works on object reveal optimum direction of move road-structure technology, which transformaintion to transport logistical road-structure torrents. Elements of information torrents on micro level, which reflection demand to the condition car road and scheme of forming financial torrents in road complex are work out; offer...

  5. 2013 CERN Road Race

    CERN Multimedia

    Klaus Hanke

    2013-01-01

    The 2013 annual CERN Road Race will be held on Wednesday 18 September at 6.15 p.m.   The 5.5 km race takes place over 3 laps of a 1.8 km circuit in the West Area of the Meyrin site, and is open to everyone working at CERN and their families. There are runners of all speeds, with times ranging from under 17 to over 34 minutes, and the race is run on a handicap basis, by staggering the starting times so that (in theory) all runners finish together. Children (< 15 years) have their own race over 1 lap of 1.8 km. As usual, there will be a “best family” challenge (judged on best parent and best child). Trophies are awarded in the usual men’s, women’s and veterans’ categories, and there is a challenge for the best age/performance. Every adult will receive a souvenir prize, financed by a registration fee of 10 CHF. Children enter free (each child will receive a medal). More information, and the online entry form, can be found here.

  6. 2013 CERN Road Race

    CERN Document Server

    Klaus Hanke

    2013-01-01

    The 2013 edition of the annual CERN Road Race will be held on Wednesday 18 September at 18.15.   The 5.5 km race takes place over 3 laps of a 1.8 km circuit in the West Area of the Meyrin site, and is open to everyone working at CERN and their families. There are runners of all speeds, with times ranging from under 17 to over 34 minutes, and the race is run on a handicap basis, by staggering the starting times so that (in theory) all runners finish together. Children (< 15 years) have their own race over 1 lap of 1.8 km. As usual, there will be a “best family” challenge (judged on best parent + best child). Trophies are awarded in the usual men’s, women’s and veterans’ categories, and there is a challenge for the best age/performance. Every adult will receive a souvenir prize, financed by a registration fee of 10 CHF. Children enter free (each child will receive a medal). More information, and the online entry form, can be found at: htt...

  7. Tourist Assessment of Croatian Roads

    Directory of Open Access Journals (Sweden)

    Joso Vurdelja

    2012-10-01

    Full Text Available As environmentally clean industry and as the most significantworld industry regarding the number of employees and theimpact on the social and economic development of a countTy,tourism represents an extremely important social and economicbranch for Croatia.As a functional unit of the mutually interweaving socialand economic relations, tourism is a complex phenomenonwhose development depends on a number of compatible factorsout of which the transport infrastructure is considered to bethe most obvious and almost the most significant one, i.e. thefirst among the equal. This is primarily true for road traffic infrastructure,since road trai!Sportation of tourists by passengercars, buses and motorcycles accounts for more than 90 percentof the overall tourist journeys in Croatia.The topic of this paper is precisely, among other things, thetourist assessment of the Croatian road network by means ofthe so-called econometric model regarding the contribution ofa certain road route to the overall tourist traffic.Practical implementation of the elaborated problematicshould result in the improvement of road infrastructure eitherby constructing new motonvays and/or roads, or by reconstructionand/or modernisation of the existing traffic routes.

  8. Road rage victimization among adolescents.

    Science.gov (United States)

    Smart, Reginald G; Stoduto, Gina; Adlaf, Edward M; Mann, Robert E; Sharpley, Justin M

    2007-09-01

    Although much has been learned about road rage among adults, data on road rage experiences among adolescents has not been available previously. We examine the prevalence and demographic correlates of road rage victimization based on a population survey of Ontario students. Based on the 2005 Ontario Student Drug Use Survey, a self-administered survey of Ontario students in grades 7-12 (n = 7726), the contribution of demographic factors (gender, region, driver's license status, grade, overall marks) to three road rage victimization measures was examined with logistic regression analysis. Just over half of students (53.2%) had been victims of shouts, curses and rude gestures in the past year, 8.9% were threatened with damage to their vehicle or personal injury and 6.2% experienced an attempt or actual damage to their vehicle or personal injury. Logistic regression analyses revealed that being a victim of shouting was significantly related to region, driver's license status, and grade. Victimization by threats was significantly related to gender, driver's license, grade, and marks. Being a victim of attempts or actual vehicle damage or injury was significantly related to region, driver's license, and marks. This study provides the first indication of prevalence of road rage victimization among adolescents. Road rage victimization in its milder form is common, involving just over half of Ontario students in grades 7-12. About 1 in 10 students were threatened with vehicle damage or personal injury, and about 1 in 20 were victims of attempts or actual damage or injury.

  9. 76 FR 6493 - Notice of Intent to Prepare an Environmental Impact Statement for the Proposed K Road/Moapa Band...

    Science.gov (United States)

    2011-02-04

    ... MW. During the construction of each phase, photovoltaic panels will be affixed to the earth using... the photovoltaic panels during routine maintenance, administrative and sanitation uses at the site (e... Road/Moapa Band of Paiute Indians Photovoltaic Solar Facility, Clark County, NV AGENCY: Bureau...

  10. 76 FR 44602 - Notice of Temporary Closure of Roads and Trails on Public Lands Adjacent to Big Willow Creek in...

    Science.gov (United States)

    2011-07-26

    ... Willow Creek in Payette County, ID AGENCY: Bureau of Land Management, Interior. ACTION: Notice of Temporary Closure. SUMMARY: Notice is hereby given that the Big Willow closure to motorized vehicle use is...\\1/4\\NW\\1/4\\ north and west of Big Willow Road. T. 8 N., R. 3 W., Sec. 1, lots 1, 3, 4,...

  11. Vanuatu - HDM-4 Analysis of the Efate Ring Road and the Santo East Coast Road

    Data.gov (United States)

    Millennium Challenge Corporation — The Millennium Challenge Corporation (MCC) provided funds for the upgrade of two roads in Vanuatu. These were the Efate Ring Road and the Santo East Coast Road. Both...

  12. Road safety and road traffic accidents in Saudi Arabia

    Science.gov (United States)

    Mansuri, Farah A.; Al-Zalabani, Abdulmohsen H.; Zalat, Marwa M.; Qabshawi, Reem I.

    2015-01-01

    Objectives: To identify the changing trends and crucial preventive approaches to road traffic accidents (RTAs) adopted in the Kingdom of Saudi Arabia (KSA) over the last 2.5 decades, and to analyze aspects previously overlooked. Methods: This systematic review was based on evidence of RTAs in KSA. All articles published during the last 25 years on road traffic accident in KSA were analyzed. This study was carried out from December 2013 to May 2014 in the Department of Family and Community Medicine, Taibah University, Al-Madinah Al-Munawwarah, KSA. Results: Road traffic accidents accounted for 83.4% of all trauma admissions in 1984-1989, and no such overall trend was studied thereafter. The most frequently injured body regions as reported in the latest studies were head and neck, followed by upper and lower extremities, which was found to be opposite to that of the studies reported earlier. Hospital data showed an 8% non-significant increase in road accident mortalities in contrast to police records of a 27% significant reduction during the years 2005-2010. Excessive speeding was the most common cause reported in all recent and past studies. Conclusion: Disparity was common in the type of reporting of RTAs, outcome measures, and possible causes over a period of 2.5 decade. All research exclusively looked into the drivers’ faults. A sentinel surveillance of road crashes should be kept in place in the secondary and tertiary care hospitals for all regions of KSA. PMID:25828277

  13. VT Boundaries - county polygons

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The BNDHASH dataset depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), and LEPC (Local Emergency Planning Committee)...

  14. Road Safety Related Behaviours of Romanian Young People

    Directory of Open Access Journals (Sweden)

    Lucia Maria LOTREAN

    2010-03-01

    Full Text Available Aim: The objective of this study was to assess the behaviors with risk for road traffic injuries among Romanian young people. Material and Method: Self-administered questionnaires were completed by the study sample consisting of 1598 junior high school students, senior high school students and university students aged 11-24 years from both urban and rural areas of two counties (Cluj and Hunedora of Romania. Results: The results show that around 80% of the junior high school students and more than 90% of the senior high school students and university students who go by bike do not wear helmets or use them rarely when they are cycling. Seatbelts are used more frequently than the helmets, but still more than one third of the junior high school students and senior high school students and a quarter of the university students do not use seatbelts or use them rarely. In the month previous the survey around one quarter of the students travelled in a car whose driver used alcohol before driving. Moreover, 15% of the university students who drove recognized that, at least once during their life, they did this after they used alcohol. Conclusions: The results indicate that comprehensive actions must be developed in order to prevent road traffic injuries among Romanian young people. They must include educational programs for youngsters and parents as well as adoption and enforcement of legislative measures and technical actions, which promote road safety.

  15. The Road to Total Earthquake Safety

    Science.gov (United States)

    Frohlich, Cliff

    Cinna Lomnitz is possibly the most distinguished earthquake seismologist in all of Central and South America. Among many other credentials, Lomnitz has personally experienced the shaking and devastation that accompanied no fewer than five major earthquakes—Chile, 1939; Kern County, California, 1952; Chile, 1960; Caracas,Venezuela, 1967; and Mexico City, 1985. Thus he clearly has much to teach someone like myself, who has never even actually felt a real earthquake.What is this slim book? The Road to Total Earthquake Safety summarizes Lomnitz's May 1999 presentation at the Seventh Mallet-Milne Lecture, sponsored by the Society for Earthquake and Civil Engineering Dynamics. His arguments are motivated by the damage that occurred in three earthquakes—Mexico City, 1985; Loma Prieta, California, 1989; and Kobe, Japan, 1995. All three quakes occurred in regions where earthquakes are common. Yet in all three some of the worst damage occurred in structures located a significant distance from the epicenter and engineered specifically to resist earthquakes. Some of the damage also indicated that the structures failed because they had experienced considerable rotational or twisting motion. Clearly, Lomnitz argues, there must be fundamental flaws in the usually accepted models explaining how earthquakes generate strong motions, and how we should design resistant structures.

  16. Encapsulating Urban Traffic Rhythms into Road Networks

    Science.gov (United States)

    Wang, Junjie; Wei, Dong; He, Kun; Gong, Hang; Wang, Pu

    2014-02-01

    Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indicating that our method can encapsulate dynamical travel demand information into the road networks. As a proof of concept, when we lowered the speed limit or increased the capacity of road segments in the targeted road clusters, we found that both the number of congested roads and extra travel time were effectively reduced. In addition, the proposed modeling framework provided new insights on the optimization of transport efficiency in any infrastructure network with a specific supply and demand distribution.

  17. 78 FR 43273 - Central of Georgia Railroad Company-Abandonment Exemption-in Newton County, Ga.

    Science.gov (United States)

    2013-07-19

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Surface Transportation Board Central of Georgia Railroad Company--Abandonment Exemption--in Newton County... the intersection of Washington Street SW., and Turner Lake Road SW., in Covington), in Newton...

  18. 78 FR 53186 - Revised Notice of Intent To Prepare an Environmental Impact Statement: Milwaukee County, Wisconsin

    Science.gov (United States)

    2013-08-28

    ... is located in Milwaukee County, Wisconsin. FOR FURTHER INFORMATION CONTACT: Bethaney Bacher-Gresock, Environmental Program Manager, FHWA Wisconsin Division Office, City Center West, 525 Junction Road, Suite 8000... necessary east of 25th Street to accommodate alternatives that would tie back into I-94 near 16th Street...

  19. 78 FR 20714 - Union Pacific Railroad Company-Abandonment Exemption-in Dunn County, WI.

    Science.gov (United States)

    2013-04-05

    ... F-Exempt Abandonments to abandon a 0.58-mile line of railroad on its Menomonie Industrial Lead from milepost 0.32 near Cedar Falls Road to the end of the line at milepost 0.90 near Oak Avenue, in Menomonie, Dunn County, Wis. (the Line). The Line traverses United States Postal Service Zip Code 54751. UP...

  20. 78 FR 23677 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

    Science.gov (United States)

    2013-04-22

    ... Pollution Control District AGENCY: Environmental Protection Agency (EPA). ACTION: Final rule. SUMMARY: EPA is finalizing approval of revisions to the Imperial County Air Pollution Control District (ICAPCD...) emissions from sources of fugitive dust such as unpaved roads and disturbed soils in open and...

  1. Fine sediment sources in coastal watersheds with uplifted marine terraces in northwest Humboldt County, California

    Science.gov (United States)

    Stephen Sungnome Madrone; Andrew P. Stubblefield

    2012-01-01

    Erosion in the Mill and Luffenholtz Creek watersheds in Humboldt County, California, with their extensive clay soils, can lead to high turbidity levels in receiving bodies of water, increasing the costs of treating water for domestic water supplies. Detailed road and erosion surveys and monitoring of suspended sediment, discharge, and turbidity levels in Mill Creek (3....

  2. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  3. Allegheny County Zip Code Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the zip code boundaries that lie within Allegheny County. These are not clipped to the Allgeheny County boundary. If viewing this...

  4. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  5. Road Nail: Experimental Solar Powered Intelligent Road Marking System

    Science.gov (United States)

    Samardžija, Dragan; Teslić, Nikola; Todorović, Branislav M.; Kovač, Erne; Isailović, Đorđe; Miladinović, Bojan

    2012-03-01

    Driving in low visibility conditions (night time, fog or heavy precipitation) is particularly challenging task with an increased probability of traffic accidents and possible injuries. Road Nail is a solar powered intelligent road marking system of wirelessly networked signaling devices that improve driver safety in low visibility conditions along hazardous roadways. Nails or signaling devices are autonomous nodes with capability to accumulate energy, exchange wireless messages, detect approaching vehicles and emit signalization light. We have built an experimental test-bed that consists of 20 nodes and a cellular gateway. Implementation details of the above system, including extensive measurements and performance evaluations in realistic field deployments are presented. A novel distributed network topology discovery scheme is proposed which integrates both sensor and wireless communication aspects, where nodes act autonomously. Finally, integration of the Road Nail system with the cellular network and the Internet is described.

  6. Identification of black spots for traffic injury in road intersections dependence of injury definition

    DEFF Research Database (Denmark)

    Lund Hansen, Dennis; Lauritsen, Jens M

    2010-01-01

    accidents treated at three hospitals for a region covering roughly 0.5 mio persons were recorded routinely and subsequently geo-coded to exact location. For 8191 injured persons the traffic accident occurred in one of 2157 road intersections. In total the county holds 56.994 intersections. Hot spots were...... of intersections considered as a black spot. GIS methods must take this into consideration....

  7. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  8. Sheridan County Recreation Plan.

    Science.gov (United States)

    Webster, Elaine

    A pilot project investigating the feasibility of year-round recreational programs in rural counties of populations of less than 10,000 is described in this report. (Sheridan County, Kansas, was chosen as the project site.) Part I, the introductory section, briefly defines recreation and its relation to human needs. Part II provides a geographic…

  9. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  10. Allegheny County Watershed Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the 52 isolated sub-Watersheds of Allegheny County that drain to single point on the main stem rivers. Created by 3 Rivers 2nd Nature based...

  11. LANDSLIDES IN SUCEAVA COUNTY

    Directory of Open Access Journals (Sweden)

    Dan Zarojanu

    2017-07-01

    Full Text Available In the county of Suceava, the landslides are a real and permanent problem. This paper presents the observations of landslides over the last 30 years in Suceava County, especially their morphology, theirs causes and the landslide stopping measures. It presents also several details regarding the lanslides from the town of Suceava, of Frasin and the village of Brodina.

  12. Hancock County Awards Gala

    Science.gov (United States)

    2008-01-01

    Gene Goldman (left), deputy director of NASA's John C. Stennis Space Center, accepts an Award of Excellence from Jack Zink, executive director of the Hancock County Port and Harbor Commission, during the 2008 Annual Hancock County Awards Gala. The Award of Excellence was presented to recognize Stennis Space Center's contribution to NASA's 50 years of excellence in space exploration.

  13. Road characteristics and bicycle accidents.

    Science.gov (United States)

    Nyberg, P; Björnstig, U; Bygren, L O

    1996-12-01

    In Umeå, Sweden, defects in the physical road surface contributed to nearly half of the single bicycle accidents. The total social cost of these injuries to people amount to at least SEK 20 million (SEK 60,000 or about USD 8,500 per accident), which corresponds to the estimated loss of "eight life equivalents a year". Improved winter maintenance seems to have the greatest injury prevention potential and would probably reduce the number of injuries considerably, whereas improved road quality and modification of kerbs would reduce the most severe injuries. A local traffic safety program should try to prevent road accidents instead of handling the consequences of them. In accordance with Parliament decisions on traffic we would like to see increased investment in measures favoring bicycle traffic, where cycling is seen as a solution, not as a problem.

  14. PHOTOGRAMMETRIC TECHNIQUES FOR ROAD SURFACE ANALYSIS

    Directory of Open Access Journals (Sweden)

    V. A. Knyaz

    2016-06-01

    Full Text Available The quality and condition of a road surface is of great importance for convenience and safety of driving. So the investigations of the behaviour of road materials in laboratory conditions and monitoring of existing roads are widely fulfilled for controlling a geometric parameters and detecting defects in the road surface. Photogrammetry as accurate non-contact measuring method provides powerful means for solving different tasks in road surface reconstruction and analysis. The range of dimensions concerned in road surface analysis can have great variation from tenths of millimetre to hundreds meters and more. So a set of techniques is needed to meet all requirements of road parameters estimation. Two photogrammetric techniques for road surface analysis are presented: for accurate measuring of road pavement and for road surface reconstruction based on imagery obtained from unmanned aerial vehicle. The first technique uses photogrammetric system based on structured light for fast and accurate surface 3D reconstruction and it allows analysing the characteristics of road texture and monitoring the pavement behaviour. The second technique provides dense 3D model road suitable for road macro parameters estimation.

  15. A global strategy for road building.

    Science.gov (United States)

    Laurance, William F; Clements, Gopalasamy Reuben; Sloan, Sean; O'Connell, Christine S; Mueller, Nathan D; Goosem, Miriam; Venter, Oscar; Edwards, David P; Phalan, Ben; Balmford, Andrew; Van Der Ree, Rodney; Arrea, Irene Burgues

    2014-09-11

    The number and extent of roads will expand dramatically this century. Globally, at least 25 million kilometres of new roads are anticipated by 2050; a 60% increase in the total length of roads over that in 2010. Nine-tenths of all road construction is expected to occur in developing nations, including many regions that sustain exceptional biodiversity and vital ecosystem services. Roads penetrating into wilderness or frontier areas are a major proximate driver of habitat loss and fragmentation, wildfires, overhunting and other environmental degradation, often with irreversible impacts on ecosystems. Unfortunately, much road proliferation is chaotic or poorly planned, and the rate of expansion is so great that it often overwhelms the capacity of environmental planners and managers. Here we present a global scheme for prioritizing road building. This large-scale zoning plan seeks to limit the environmental costs of road expansion while maximizing its benefits for human development, by helping to increase agricultural production, which is an urgent priority given that global food demand could double by mid-century. Our analysis identifies areas with high environmental values where future road building should be avoided if possible, areas where strategic road improvements could promote agricultural development with relatively modest environmental costs, and 'conflict areas' where road building could have sizeable benefits for agriculture but with serious environmental damage. Our plan provides a template for proactively zoning and prioritizing roads during the most explosive era of road expansion in human history.

  16. Photogrammetric Techniques for Road Surface Analysis

    Science.gov (United States)

    Knyaz, V. A.; Chibunichev, A. G.

    2016-06-01

    The quality and condition of a road surface is of great importance for convenience and safety of driving. So the investigations of the behaviour of road materials in laboratory conditions and monitoring of existing roads are widely fulfilled for controlling a geometric parameters and detecting defects in the road surface. Photogrammetry as accurate non-contact measuring method provides powerful means for solving different tasks in road surface reconstruction and analysis. The range of dimensions concerned in road surface analysis can have great variation from tenths of millimetre to hundreds meters and more. So a set of techniques is needed to meet all requirements of road parameters estimation. Two photogrammetric techniques for road surface analysis are presented: for accurate measuring of road pavement and for road surface reconstruction based on imagery obtained from unmanned aerial vehicle. The first technique uses photogrammetric system based on structured light for fast and accurate surface 3D reconstruction and it allows analysing the characteristics of road texture and monitoring the pavement behaviour. The second technique provides dense 3D model road suitable for road macro parameters estimation.

  17. An analysis of Malaysia road traffic death distribution by road environment

    Indian Academy of Sciences (India)

    YUSRIA DARMA; MOHAMED REHAN KARIM; SULAIMAN ABDULLAH

    2017-09-01

    Various initiatives, strategies and programmes have been taken by the Government of Malaysia to resolve issues pertaining to road traffic deaths. Nevertheless, the implementation of the programmes outlined in Malaysian Road Safety Plan 2006 needs to be enhanced in order to achieve the set targets. In this regard, it is imperative for all parties concerning road safety to determine the factors that significantly contribute to road traffic deaths. According to the Ministry of Works, Malaysia, the blackspot treatment programme (which is centred on the elimination of road hazards by engineering approaches) is successful in reducing the number of injuries due to road traffic accidents up to a certain extent. This study is focussed on analysing road traffic deaths caused by various road environment elements recorded by the police from 2000 to 2011 in order to determine their distribution, proportion and relationship with fatal accidents. The Chi-square test and Marascuilo procedure with 5% level of significance are used in this study. Based on locality, the number of road traffic deaths in rural area (66%) is significantly higher compared with that in urban areas (34%). Based on road category, the number of road traffic deaths is the highest for federal roads, whereas the highest rate of fatalities per kilometre is recorded for expressways. Based on road segment, the number of road traffic deaths is the highest for straight road segments, followed by bends. In addition, the number of road traffic deaths is the highest for Y/T junctions,followed by cross junctions. The lowest number of road traffic deaths is recorded for interchanges and roundabouts. The results show that only 11.25% of the total road traffic deaths are related to road defects. The highest proportion of deaths due to road defects (48.6%) is associated with lack of street lighting provision,whereas road shoulder edge drop-off and potholes contribute 15.4% and 11.2% of road traffic deaths,respectively.

  18. Carbon Nanomaterials for Road Construction

    Directory of Open Access Journals (Sweden)

    Zaporotskova Irina Vladimirovna

    2015-05-01

    Full Text Available The requirement of developing and modernizing the roads in Russia and in the Volgograd region in particular, is based on need of expanding the directions of scientific research on road and transport complexes. They have to be aimed at the development of the theory of transport streams, traffic safety increase, and, first of all, at the application of original methods of road development and modernization, introduction of modern technologies and road-building materials.On the basis of the analysis of the plans for transportation sphere development in the Volgograd region assuming the need to apply the new technologies allowing to create qualitative paving, the authors propose the technology of creating a heavy-duty paving with the use of carbon nanomaterial. The knowledge on strengthening the characteristics of carbon nanotubes is a unique material for nanotechnology development which allowed to assume the analysis of general information about asphalt concrete. The analysis showed that carbon nanotubes can be used for improvement of operational characteristics of asphalt concrete, and it is possible to carry out additives of nanotubes in hot as well as in cold bitumen. The article contains the basic principles of creation of the new road material received by means of bitumen reinforcing by carbon nanotubes. The structures received by the offered technique binding on the basis of the bitumens modified by carbon nanomaterial can be used for coverings and bases on highways of all categories in all road and climatic zones of Russia. The technical result consists in increasing the durability and elasticity of the received asphalt covering, and also the increase of water resistance, heat resistance and frost resistance, the expansion of temperature range of its laying in the field of negative temperatures.

  19. Protocols for toll road systems

    OpenAIRE

    2013-01-01

    A problem in a tolling system like AutoPASS is the number of unidentified passages due to unreadable license plates. As a consequence money is lost for the toll road companies. A scheme is proposed that uses anonymous statistics to aid in the process of allocating resources for manual controls. Due to legal requirements for anonymity of data produced at toll plazas, a model that simulates the traffic frequencies on Norwegian roads is developed and implemented in Java. Using the toll plazas th...

  20. DNR State Forest Roads - WHEELS Database

    Data.gov (United States)

    Minnesota Department of Natural Resources — Roads administered by the Commissioner of Natural Resources to provide access to lands administered by the Division of Forestry. These roads are generally open to...

  1. Road safety audits: The way forward

    CSIR Research Space (South Africa)

    Labuschagne, FJJ

    2010-08-01

    Full Text Available formally implemented in South Africa. This paper assesses recent international developments pertaining to road safety auditing and reports on a review of the experience by road safety practitioners in South Africa. It concludes with recommendations...

  2. Honduras - Transportation and Farm to Market Roads

    Data.gov (United States)

    Millennium Challenge Corporation — The evaluation of the Transport Project and Farm to Market Roads Activity aimed to answer whether or not improved conditions throughout the road network: • Lowered...

  3. The angular nature of road networks

    CERN Document Server

    Molinero, Carlos; Arcaute, Elsa

    2015-01-01

    Road networks are characterised by several structural and geometric properties. Their topological structure determines partially its hierarchical arrangement, but since these are networks that are spatially situated and, therefore, spatially constrained, to fully understand the role that each road plays in the system it is fundamental to characterize the influence that geometrical properties have over the network's behaviour. In this work, we percolate the UK's road network using the relative angle between street segments as the occupation probability. We argue that road networks undergo a non-equilibrium first-order phase transition at the moment the main roads start to interconnect forming the spanning percolation cluster. The percolation process uncovers the hierarchical structure of the roads in the network, and as such, its classification. Furthermore, this technique serves to extract the set of most important roads of the network and to create a hierarchical index for each road in the system.

  4. Soil-related geohazard assessments for maintaining the UK's minor road network

    Science.gov (United States)

    Pritchard, Oliver; Hallett, Stephen; Farewell, Timothy

    2015-04-01

    authority level, to provide a series of regional risk assessments. Case studies are drawn from the UK administrative counties of Lincolnshire and Worcestershire. Data from observed road assessments, obtained from the respective local authorities have been analysed and intersected with clay-related subsidence risk. Lincolnshire County Council have already implemented this research to prioritise approximately £600,000 of road maintenance fund to their minor road network. Further appreciation of the spatial distribution and understanding of soil-related hazards has also led Lincolnshire County Council to trial new resurfacing strategies; these new techniques helping to reduce carbon outputs in the form of materials and transport. A reduction in the amount of potential hazardous (bituminous) waste to landfill is also being achieved through re-inclusion of waste material back into the road foundation where areas are particularly prone to soil shrinkage. Our research shows that soil-related geohazard assessments have a part to play in the asset management of the UK's local highways network. The study supports the ICE's recommendation for a regime which moves towards planned, preventative maintenance and achieving Defra's (Department for Environment, Food and Rural Affairs) aim of a climate resilient UK infrastructure. The methodology introduced here also has applicability to other countries, where appropriate soils and infrastructure data are available.

  5. Ranking EU progress on road safety : 10th road safety Performance Index (PIN) report.

    NARCIS (Netherlands)

    Adminaite, D. Jost, G. Stipdonk, H. & Ward, H.

    2016-01-01

    In 2010, the European Union renewed its commitment to improve road safety by setting a target of reducing road deaths by 50% by 2020, compared to 2010 levels. This target followed an earlier target set in 2001 to halve road deaths by 2010. 2015 was the second consecutive poor year for road safety; 2

  6. Tire-road noise: an experimental study of tire and road design parameters

    NARCIS (Netherlands)

    Bekke, Dirk; Wijnant, Ysbrand; Weegerink, Thijs; Boer, de Andre

    2013-01-01

    It is widely known that road traffic noise has negative influences on human health. Hence, as tire-road noise is considered to be the most dominant cause of road traffic noise above 30-50 km/h, a lot of research is performed by the two involving industries: road authorities/manufacturers and tire ma

  7. Tire-road noise: an experimental study of tire and road design parameters

    NARCIS (Netherlands)

    Bekke, Dirk; Wijnant, Ysbrand H.; Weegerink, Thijs; de Boer, Andries

    2013-01-01

    It is widely known that road traffic noise has negative influences on human health. Hence, as tire-road noise is considered to be the most dominant cause of road traffic noise above 30-50 km/h, a lot of research is performed by the two involving industries: road authorities/manufacturers and tire

  8. Trismus: An unusual presentation following road accident

    Directory of Open Access Journals (Sweden)

    Thakur Jagdeep

    2007-01-01

    Full Text Available Trismus due to trauma usually follows road accidents leading to massive faciomaxillary injury. In the literature there is no report of a foreign body causing trismus following a road accident, this rare case is an exception. We present a case of isolated presentation of trismus following a road accident. This case report stresses on the thorough evaluation of patients presenting with trismus following a road accident.

  9. Reflection properties of road surfaces. Contribution to OECD Scientific Expert Group AC4 on Road Surface Characteristics.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1983-01-01

    Photometric characteristics of road surfaces are dealt with. Representation of reflection properties in public lighting; quality criteria of road lighting installations; classification of road surfaces; the relation between reflection characteristics and other properties of road pavements in public

  10. Reflection properties of road surfaces. Contribution to OECD Scientific Expert Group AC4 on Road Surface Characteristics.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1983-01-01

    Photometric characteristics of road surfaces are dealt with. Representation of reflection properties in public lighting; quality criteria of road lighting installations; classification of road surfaces; the relation between reflection characteristics and other properties of road pavements in public

  11. Value of monitoring in road network management

    NARCIS (Netherlands)

    Zouch, M.; Courage, W.; Napoles-Morales, O.

    2014-01-01

    We present a framework for road network management to assist road authorities in maintenance budget estimations and long-term maintenance strategies definition. Information about road conditions is obtained from monitoring. Available data are used to estimate and update prediction of degradation evo

  12. Optimal Redesign of the Dutch Road Network

    NARCIS (Netherlands)

    Snelder, M.; Wagelmans, A.P.M.; Schrijver, J.M.; Van Zuylen, H.J.; Immers, L.H.

    2007-01-01

    The Dutch national road network has been developed over several decades. In the past, roads were constructed according to the then current spatial and transportation planning philosophies. Because the existing road network is a result of a long process of successive developments, the question can be

  13. Analysis of traffic safety at road works.

    NARCIS (Netherlands)

    Weijermars, W. & Spittje, H.

    2010-01-01

    Road works create a risk, both to road workers and drivers. SWOV conducted research into 58 severe crashes to gain more insight into the causes of crashes at work zones. Finally, 50 work-zones were visited to obtain more insight into (1) the extent to which the Dutch guidelines for safe road works a

  14. Psychological aspects of road user behaviour

    NARCIS (Netherlands)

    Rothengatter, J.A.

    1997-01-01

    The behaviour of road users is an important factor in accident causation. Traffic psychology, defined as ''the study of the behaviour of road users and the psychological processes underlying that behaviour'', attempts to identify the determinants of road user behaviour with the aim of developing eff

  15. Road geometry classification by adaptive shape models

    NARCIS (Netherlands)

    J.M. Álvarez; T. Gevers; F. Diego; A.M. López

    2012-01-01

    Vision-based road detection is important for different applications in transportation, such as autonomous driving, vehicle collision warning, and pedestrian crossing detection. Common approaches to road detection are based on low-level road appearance (e.g., color or texture) and neglect of the scen

  16. Psychological aspects of road user behaviour

    NARCIS (Netherlands)

    Rothengatter, J.A.

    The behaviour of road users is an important factor in accident causation. Traffic psychology, defined as ''the study of the behaviour of road users and the psychological processes underlying that behaviour'', attempts to identify the determinants of road user behaviour with the aim of developing

  17. Numerical simulation of tyre/road noise

    NARCIS (Netherlands)

    Schutte, Jan Henk

    2011-01-01

    In modern society, traffic noise has become an important issue for mental health. A significant contributor to this noise pollution is exterior tyre/road noise, which is caused by the interaction between tyre and road surface and. In order to reduce tyre/road noise at the source, accurate numerical

  18. Headway times and road safety.

    NARCIS (Netherlands)

    2007-01-01

    In road traffic, the advice is to maintain a minimum distance of two seconds to the vehicle in front. This headway time is based on the reaction time of drivers under various circumstances. A headway time of two seconds is sufficient for the majority of drivers to prevent a rear-end collision with

  19. Basics of a Good Road:

    OpenAIRE

    Bonte, Dudley

    2014-01-01

    This Asphalt 101 presentation will focus on the following topics: foundation preparation basics for a good road (subgrades, subgrade treatments, aggregate base; overlay preparation; and mixture thickness standards); what properties are critical to testing standards, quality, and inspection (materials, placement and compaction, use of INDOT specifications/certifications, APAI Local Government Specification Guide); and pavement preservation with 4.75 mm thin overlay.

  20. Distributed modeling for road authorities

    NARCIS (Netherlands)

    Luiten, G.T.; Bõhms, H.M.; Nederveen, S. van; Bektas, E.

    2013-01-01

    A great challenge for road authorities is to improve the effectiveness and efficiency of their core processes by improving data exchange and sharing using new technologies such as building information modeling (BIM). BIM has already been successfully implemented in other sectors, such as architectur

  1. Traffic Accidents on Slippery Roads

    DEFF Research Database (Denmark)

    Fonnesbech, J. K.; Bolet, Lars

    2014-01-01

    Police registrations from 65 accidents on slippery roads in normally Danish winters have been studied. The study showed: • 1 accident per 100 km when using brine spread with nozzles • 2 accidents per 100 km when using pre wetted salt • 3 accidents per 100 km when using kombi spreaders The results...

  2. Pollution-free road lighting

    Science.gov (United States)

    Schreuder, Duco A.

    They relate to reducing road accidents and some forms of crime but also enhance the social safety of residents and pedestrians and the amenity for residents. Road traffic in developing countries is much more hazardous than in industrialized countries. Accident rates in 'low' income countries may be as much as 35 times higher than in 'high' income countries. Thus, it might be much more cost-effective to light roads in the developing world than in the industrialized world. Fighting light pollution is more pressing in developing countries as most of the major high-class astronomical observatories are there. Astronomical observations are disturbed by light from outdoor lighting installations, part of which is scattered in the atmosphere to form 'sky glow'. The International Lighting Commission CIE has published a Technical Report giving general guidance for lighting designers and policy makers on the reduction of the sky glow. Lighting improves visibility, essential for almost all human activity. However, light that hits the road contributes to visibility only if it is reflected. In poorly designed lighting equipment much of the lumen output of the lamps is sent directly upwards. This can be avoided by properly defined light fittings. The light output of fittings is determined by their optical quality and by the installation maintenance factor. Open fittings are to be preferred. If mounted horizontally, they make street lighting with the least light pollution.

  3. Distributed modeling for road authorities

    NARCIS (Netherlands)

    Luiten, G.T.; Bõhms, H.M.; Nederveen, S. van; Bektas, E.

    2013-01-01

    A great challenge for road authorities is to improve the effectiveness and efficiency of their core processes by improving data exchange and sharing using new technologies such as building information modeling (BIM). BIM has already been successfully implemented in other sectors, such as architectur

  4. Road freight and the environment

    CSIR Research Space (South Africa)

    Makamo, N

    2015-07-01

    Full Text Available Freight transportation is one of the major contributors to economic development in a country. During a recent study, it was found that little information is available in terms of the cost of crashes to the environment. Environmental impacts of road...

  5. IN SPHERE OF ROAD BUILDING

    Directory of Open Access Journals (Sweden)

    Shakhov Oleg Fedorovich

    2012-09-01

    Full Text Available At present, it is necessary to use concession bases of development of national transport systems more widely considering the importance of road building, and also that fact that interests of the state and managing subjects - participants of investment building activity have differently directed vectors.

  6. Inquiry on scientific and fair evaluation of routine road maintenance performance%公正科学评价公路小修保养绩效探讨

    Institute of Scientific and Technical Information of China (English)

    王永顺

    2016-01-01

    The thesis analyzes problems existing in routine road maintenance performance evaluation,determines the quality standards of routine road maintenance according to road condition types,and puts forward converting methods of county administration bureau in light of different mile-age and different road conditions,with a view to scientifically and fairly assesses routine road maintenance performance.%分析了公路小修保养绩效评价中存在的问题,根据路况类型,确定了小修保养工作合格目标,并提出了县区局管养不同里程和不同路况的折算方法,以科学公正评价小修保养绩效,提高公路养护管理水平。

  7. Oil heritage district : Lambton County Ontario

    Energy Technology Data Exchange (ETDEWEB)

    Shearer, W. [Wendy Shearer Landscape Architect, Kitchener, ON (Canada)

    2009-07-01

    This paper discussed a project conducted to assess the cultural heritage values of oil field equipment in Lambton County, Ontario. Oil was discovered in the region in 1858, after which a boom and bust cycle of exploration created a large rural-industrial landscape. The region now contains a unique collection of historic oil equipment. The region's industrial footprint is interwoven with village settlements, agricultural settlements, and a railway and road network linking the region to remote refineries. Oil wells in the region still operate using a jerker line system developed in the early twentieth century. The operational oil wells are subject to fluctuating oil prices and environmental protection requirements. The project presents a rare opportunity to place industrial heritage conservation directly in the hands of business operators and regulators, while also functioning as part of a living community. 2 figs.

  8. Road Safety Barriers, the Need and Influence on Road Traffic Accidents

    Science.gov (United States)

    Butāns, Ž.; Gross, K. A.; Gridnevs, A.; Karzubova, E.

    2015-11-01

    Constantly increasing intensity of road traffic and the allowed speed limits seem to impose stronger requirements on road infrastructure and use of road safety systems. One of the ways to improve road safety is the use of road restraint systems. Road safety barriers allow not only reducing the number of road traffic accidents, but also lowering the severity of accidents. The paper provides information on the technical requirements of road safety barriers. Various types of road safety barriers and their selection criteria for different types of road sections are discussed. The article views an example of a road traffic accident, which is also modelled by PC-Crash computer program. The given example reflects a road accident mechanism in case of a car-to-barrier collision, and provides information about the typical damage to the car and the barrier. The paper describes an impact of the road safety barrier type and its presence on the road traffic accident mechanism. Implementation and maintenance costs of different barrier types are viewed. The article presents a discussion on the necessity to use road safety barriers, as well as their optimal choice.

  9. Spatial Analysis Methods of Road Traffic Collisions

    DEFF Research Database (Denmark)

    Loo, Becky P. Y.; Anderson, Tessa Kate

    Spatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the book...... outlines the key issues in identifying hazardous road locations (HRLs), considers current approaches used for reducing and preventing road traffic collisions, and outlines a strategy for improved road safety. The book covers spatial accuracy, validation, and other statistical issues, as well as link...

  10. Using CART to segment road images

    Science.gov (United States)

    Davies, Bob; Lienhart, Rainer

    2006-01-01

    The 2005 DARPA Grand Challenge is a 132 mile race through the desert with autonomous robotic vehicles. Lasers mounted on the car roof provide a map of the road up to 20 meters ahead of the car but the car needs to see further in order to go fast enough to win the race. Computer vision can extend that map of the road ahead but desert road is notoriously similar to the surrounding desert. The CART algorithm (Classification and Regression Trees) provided a machine learning boost to find road while at the same time measuring when that road could not be distinguished from surrounding desert.

  11. THE ECONOMIC EVALUATION OF FOREST ROAD BUILDING

    OpenAIRE

    Muška, Aina; Bičevskis, Matīss

    2010-01-01

    Forest road density in Latvia is insufficient, although the Joint Stock Company ‘‘Latvijas valsts meži” (“Latvian State Forestry”) performs active forest road building. The hypothesis of the research is that the resources invested in a forest road building pay off during its use. The goal of the research is to study the economic benefit from forest road building. The authors’ research showed that the total costs of forest road building and use could result in Ls 246,779 over 40 years or Ls 6,...

  12. SURVEY, SOLANO COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Solano County California, hydrographic survey data collected by Harned Surveying and Engineering (HSE). Data collection period January 1, 2011 through March 1, 2011.

  13. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  14. Allegheny County Sheriff Sales

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — List of properties up for auction at a Sheriff Sale. Datasets labeled "Current" contain this month's postings, while those labeled "Archive" contain a running list...

  15. Allegheny County Cemetery Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Outlines of public and private cemeteries greater than one acre in size. Areas were delineated following a generalized line along the outside edge of the area....

  16. Durham County Demographic Profile

    Data.gov (United States)

    City and County of Durham, North Carolina — (a) Includes persons reporting only one race.(b) Hispanics may be of any race, so also are included in applicable race categories. D: Suppressed to avoid disclosure...

  17. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  18. County Political Boundaries (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with political limit - boundaries extending into the ocean (NTAD 2015). The TIGER/Line shapefiles and related database files (.dbf) are an extract...

  19. Minnesota County Boundaries

    Data.gov (United States)

    Minnesota Department of Natural Resources — Minnesota county boundaries derived from a combination of 1:24,000 scale PLS lines, 1:100,000 scale TIGER, 1:100,000 scale DLG, and 1:24,000 scale hydrography...

  20. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  1. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  2. Allegheny County Dog Licenses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A list of dog license dates, dog breeds, and dog name by zip code. Currently this dataset does not include City of Pittsburgh dogs.

  3. Road user behaviour changes following a self-explaining roads intervention.

    Science.gov (United States)

    Mackie, Hamish W; Charlton, Samuel G; Baas, Peter H; Villasenor, Pablo C

    2013-01-01

    The self-explaining roads (SER) approach uses road designs that evoke correct expectations and driving behaviours from road users to create a safe and user-friendly road network. Following the implementation of an SER process and retrofitting of local and collector roads in a suburb within Auckland City, lower speeds on local roads and less variation in speed on both local and collector roads were achieved, along with a closer match between actual and perceived safe speeds. Preliminary analyses of crash data shows that the project has resulted in a 30% reduction crash numbers and an 86% reduction in crash costs per annum, since the road changes were completed. In order to further understand the outcomes from this project, a study was carried out to measure the effects of the SER intervention on the activity and behaviour of all road users. Video was collected over nine separate days, at nine different locations, both before and after SER construction. Road user behaviour categories were developed for all potential road users at different location types and then used to code the video data. Following SER construction, on local roads there was a relatively higher proportion of pedestrians, less uniformity in vehicle lane keeping and less indicating by motorists along with less through traffic, reflecting a more informal/low speed local road environment. Pedestrians were less constrained on local roads following SER construction, possibly reflecting a perceptually safer and more user-friendly environment. These behaviours were not generally evident on collector roads, a trend also shown by the previous study of speed changes. Given that one of the objectives of SER is to match road user behaviour with functionally different road categories, the road user behaviour differences demonstrated on different road types within the SER trial area provides further reinforcement of a successful SER trial.

  4. FUNCTIONAL CLASSIFICATION OF RURAL ROADS IN SERBIA

    Directory of Open Access Journals (Sweden)

    Mihailo Maletin

    2015-06-01

    Full Text Available In order to revise the existing classification of rural roads in Serbia, which is rather old and defined on administrative criteria, the research developed a proposal for functional classification and categorization of primary rural roads. This resulted in four classes of rural roads based on their basic function and, with the introduction of five spatial accessibility levels, road classes are subdivided in eight road types. Based on the Serbia State Spatial Plan data, centers of gravitation together with border crossings are classified in four categories and desire lines of major transport function levels are defined. Based on this information and traffic count data the proposal of new primary rural road network in Serbia reduces the total length of the existing one with approximately the same overall accessibility level. Proposed categorization of rural roads as primary, regional and local ones is founded on functional classification and coincides with reorganization of governmental structure in Serbia.

  5. The safe road transport system approach

    Directory of Open Access Journals (Sweden)

    Vollpracht Hans-Joachim

    2016-07-01

    Full Text Available More than 1,24 million people die each year on the worlds roads and between 20 to 50 million suffer from nonfatal injuries. The UN Road Safety Collaboration Meetings under the leadership of WHO developed the Programme for the Decade of Actions for road safety taking nations into the responsibility of improving their accident figures by the five pillars of a national Road Safety Policy, safer Roads, safer Vehicles, safer Road Users and Post Crash Care. It is this Safe System Approach that takes into consideration the land use, infrastructure and transport planning, road user’s abilities and limitations and the close cooperation of all governmental and none governmental stakeholders involved.

  6. White noise excitation of road vehicle structures

    Indian Academy of Sciences (India)

    Werner Schiehlen

    2006-08-01

    Heave and pitch motions of road vehicle structures affect the comfort and the safety of passengers. Excitation of these vertical vibrations is due to road surface roughness. Road vehicle structures are modelled as mechanical systems characterized by their inertia, damping and stiffness, and represented as state equations. This paper deals with the influence of random road profiles on the vertical dynamics of road vehicles characterized by stochastic processes. Switching from road profile displacement to road profile velocity results in white noise excitation facilitating mathematical analysis. Some fundamentals of power spectral density analysis and covariance analysis are reviewed. A quarter car model is used to show the advantages of the covariance analysis resulting immediately in standard variations characterizing the vehicle’s performance.

  7. Understanding Road Usage Patterns in Urban Areas

    CERN Document Server

    Wang, Pu; Bayen, Alexandre M; Schechtner, Katja; González, Marta C; 10.1038/srep01001

    2012-01-01

    In this paper, we combine the most complete record of daily mobility, based on large-scale mobile phone data, with detailed Geographic Information System (GIS) data, uncovering previously hidden patterns in urban road usage. We find that the major usage of each road segment can be traced to its own - surprisingly few - driver sources. Based on this finding we propose a network of road usage by defining a bipartite network framework, demonstrating that in contrast to traditional approaches, which define road importance solely by topological measures, the role of a road segment depends on both: its betweeness and its degree in the road usage network. Moreover, our ability to pinpoint the few driver sources contributing to the major traffic flow allows us to create a strategy that achieves a significant reduction of the travel time across the entire road system, compared to a benchmark approach.

  8. Measuring Road Network Vulnerability with Sensitivity Analysis

    Science.gov (United States)

    Jun-qiang, Leng; Long-hai, Yang; Liu, Wei-yi; Zhao, Lin

    2017-01-01

    This paper focuses on the development of a method for road network vulnerability analysis, from the perspective of capacity degradation, which seeks to identify the critical infrastructures in the road network and the operational performance of the whole traffic system. This research involves defining the traffic utility index and modeling vulnerability of road segment, route, OD (Origin Destination) pair and road network. Meanwhile, sensitivity analysis method is utilized to calculate the change of traffic utility index due to capacity degradation. This method, compared to traditional traffic assignment, can improve calculation efficiency and make the application of vulnerability analysis to large actual road network possible. Finally, all the above models and calculation method is applied to actual road network evaluation to verify its efficiency and utility. This approach can be used as a decision-supporting tool for evaluating the performance of road network and identifying critical infrastructures in transportation planning and management, especially in the resource allocation for mitigation and recovery. PMID:28125706

  9. Life in the Fast Lane: Road Crossing Behavior of Mule Deer in a Wildland-Urban Interface

    Energy Technology Data Exchange (ETDEWEB)

    Hansen, Leslie A. [Los Alamos National Laboratory; Biggs, James [Northern New Mexico College; Bennett, Kathryn D. [Los Alamos National Laboratory; Bare, Carey [Bare and Associates, LLC; Sherwood, Sherri R. [Los Alamos National Laboratory

    2012-04-04

    In 2009, approximately 260,000 animal-vehicle collisions were reported in the United States, resulting in 12,000 human injuries and 173 human fatalities. Research has focused on identifying factors associated with high densities of animal-vehicle collisions, including variables such as traffic speed and volume, road design, topographic features, vegetative cover, and local deer or elk (Cervus elaphus) abundance. The purposes of this study were to document how often and where mule deer (Odocoileus hemionus) crossed roads in a western United States wildland-urban interface area, and to relate deer road-crossing behavior to deer-vehicle collision locations. Seven adult mule deer (four males [M] and three females [F]) were captured and collared with GPS-enabled collars during December 2001 and January 2002. Five of the seven deployed collars were recovered. None of the roads in the study area appeared to act as a substantial barrier to deer passage. Deer home ranges straddled highways and primary, secondary, and tertiary arterial roads. Deer crossed all types of roads. The average number of times deer crossed road during 24 hours of monitoring ranged from 2.1 to 7.0. Deer in the Los Alamos townsite avoided crossing roads during day and before sunset. Deer-vehicle accidents occurred at 350 percent of the level expected after sunset. All other time periods had fewer accidents than expected. The distribution of accidents across time periods was not similar to the distribution of road crossings across time periods for any deer. Within Los Alamos County there was a clear trend for deer-vehicle collisions to occur on roads with speed limits > 35 mph. Deer in the townsite frequently crossed roads with lower speed limits; therefore, the reason for the paucity of accidents along these roads was evidently the ability of drivers to detect deer (or the ability of deer to detect vehicles) and respond before an accident occurred. There was a significant but not strong correlation

  10. Long-term exposure to road traffic noise and myocardial infarction.

    Science.gov (United States)

    Selander, Jenny; Nilsson, Mats E; Bluhm, Gösta; Rosenlund, Mats; Lindqvist, Magnus; Nise, Gun; Pershagen, Göran

    2009-03-01

    An association has been reported between long-term exposure to road traffic noise and the risk of myocardial infarction (MI), but the evidence is limited and inconclusive. No previous study has simultaneously analyzed the role of exposure to noise and air pollution from road traffic in the risk of MI. A population-based case-control study on MI was conducted 1992-1994 in Stockholm County. Participants answered a questionnaire and underwent a physical examination. Residential exposure to noise and air pollution from road traffic between 1970 and 1992-1994 was assessed for 3666 participants (1571 cases of MI and 2095 controls), based on residential history combined with information on traffic intensity and distance to nearby roads. Information was also obtained on factors potentially affecting the relationship between noise exposure and MI, such as noise annoyance. The correlation between long-term individual exposure to noise and air pollution from traffic was high (r = 0.6). The adjusted odds ratio for MI associated with long-term road traffic noise exposure of 50 dBA or higher was 1.12 (95% confidence interval = 0.95-1.33). In a subsample, defined by excluding persons with hearing loss or exposure to noise from other sources, the corresponding odds ratio was 1.38 (1.11-1.71), with a positive exposure-response trend. No strong effect modification was apparent by sex or cardiovascular risk factors, including air pollution from road traffic. The results lend some support to the hypothesis that long-term exposure to road traffic noise increases the risk for MI.

  11. Effect of Road Lighting on the Quality of Dual Carriageway Road Service

    Directory of Open Access Journals (Sweden)

    Ben-Edigbe Johnnie

    2014-02-01

    Full Text Available The study is exciting because it introduced a new quality of road service assessment approach. The study explored the effect of road lighting on the quality of dual carriageway road service. Based on the hypothesis that road lighting has no significant effect on the level of road service, an impact study was carried out in Skudai town, Malaysia. Twenty four hours continuous traffic volume, vehicle types and speeds data were collected during daylight, road lighting and dry weather conditions for two directional flows. Results show that travel speeds speed during daylight and road lighting periods did not differ significantly. The study concluded road lighting does not affect the quality of road service significantly.

  12. Pioneering a Road to Prosperity

    Institute of Scientific and Technical Information of China (English)

    1996-01-01

    WHEN the professor with the Shandong Academy of Agricultural Sciences came to Sucun Township, Yinan County to teach the women there how to plant vegetables in greenhouses for the winter season, he was taken aback by their endless and informed questions. The women taking part in the training class surrounded him for hours, asking questions such as "what chemicals are

  13. High-Luminance Road Surfaces,

    Science.gov (United States)

    1980-12-01

    condition was changed with the decreased use of snow chains and increasing use of studded tires. The studded tires wear down the road surface in a...region, white anorthosite of a uniform and unweathered type is usable as an additive to asphalt con- crete and wear surfacing for asphalt gravel...CLASSIFICATION Of THIS PAGE(W/em Daateoo 20. Abstract (cont’d) resistance to weathering, and the degree of luminosity. Quartzites have the best wear

  14. Appropriate roads for rural access

    CSIR Research Space (South Africa)

    Paige-Green, P

    2006-03-01

    Full Text Available plastic deformation. Deficiencies in any of these properties result in poor riding quality and high maintenance requirements as well as an increased loss of material from the road. It is thus essential that the best available material is used... of the specification illustrated in Figure 1 is the ability to identify potential problems associated with materials not meeting the specifications. This allows the implementer to make judgments regarding the consequences of using material outside...

  15. Methanol - alternative fuel road traffic

    Energy Technology Data Exchange (ETDEWEB)

    Muendler, H.

    1980-09-01

    This brochure names the fuel properties that are required for road traffic, discusses the replacement of petrol by methanol, discusses the possibilities of manufacturing methanol, draws up a timetable and an organigram for a (M-15) large scale test and compares costs of petrol, methanol, synthesis process petrol and hydrogenation process petrol. Furthermore, the technical requirements of vehicles as well as test results of exhaust gas emissions are also discussed.

  16. Mobility management and road safety.

    OpenAIRE

    2012-01-01

    Mobility management stands for organizing 'smart travel' and focuses on reducing the amount of car mobility (particularly during peak hours) by stimulating travellers to refrain from travelling (telecommuting), to travel at a different time of day (avoiding peak hours) or to choose a different means of transport. Mobility management should result in, for instance, improved accessibility and less environmental impact; road safety is hardly mentioned as an objective. Mobility management can inc...

  17. Revival of the Silk Road

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    China's Xinjiang Uygur Autonomous Region, bordering eight countries and providing a corridor to the Central Asian region, was once famous for the Silk Road. But now this region is often reported by Western media as having the problems of "political separatism, economic exclusion and religious fundamentalism." Professor David Gosset with the Shanghai-based China Europe International Business School analyzed Xinjiang's development, which he framed as "Xinjiang's experience." According to him, Xinjiang has ...

  18. Road safety: take it seriously

    CERN Multimedia

    Antonella Del Rosso

    2015-01-01

    Around 50 road accidents happen every year at CERN. Cyclists, drivers and pedestrians must pay attention to their behaviour at all times to ensure that this doesn’t become an even more serious problem. Even if the Laboratory’s sites are not exactly downtown Shanghai, all road users need to make a little effort. So let’s do it!   Life at CERN: let’s stick to accumulating scientific data rather than road accidents! (Cartoon by Cian O'Luanaigh) Despite a dedicated Safety Code in force since 1990, “traffic-calming” measures put in place last year, several reminders in the Bulletin and frequent safety campaigns, the number of accidents, particularly those involving cyclists, has remained high since 2008. Luckily, no-one has been seriously injured but it is more and more frequent to experience near misses or actual accidents, whether in a car or on a bike. Incivilities, excessive speeding (also for bikes!) and answering ...

  19. Seismic risk assessment for road in Indonesia

    Science.gov (United States)

    Toyfur, Mona Foralisa; Pribadi, Krishna S.

    2016-05-01

    Road networks in Indonesia consist of 446,000 km of national, provincial and local roads as well as toll highways. Indonesia is one of countries that exposed to various natural hazards, such as earthquakes, floods, landslides, etc. Within the Indonesian archipelago, several global tectonic plates interact, such as the Indo-Australian, Pacific, Eurasian, resulting in a complex geological setting, characterized by the existence of seismically active faults and subduction zones and a chain of more than one hundred active volcanoes. Roads in Indonesia are vital infrastructure needed for people and goods movement, thus supporting community life and economic activities, including promoting regional economic development. Road damages and losses due to earthquakes have not been studied widely, whereas road disruption caused enormous economic damage. The aim of this research is to develop a method to analyse risk caused by seismic hazard to roads. The seismic risk level of road segment is defined using an earthquake risk index, adopting the method of Earthquake Disaster Risk Index model developed by Davidson (1997). Using this method, road segments' risk level can be defined and compared, and road risk map can be developed as a tool for prioritizing risk mitigation programs for road networks in Indonesia.

  20. Effects of road networks on bird populations.

    Science.gov (United States)

    Kociolek, A V; Clevenger, A P; St Clair, C C; Proppe, D S

    2011-04-01

    One potential contributor to the worldwide decline of bird populations is the increasing prevalence of roads, which have several negative effects on birds and other vertebrates. We synthesized the results of studies and reviews that explore the effects of roads on birds with an emphasis on paved roads. The well-known direct effects of roads on birds include habitat loss and fragmentation, vehicle-caused mortality, pollution, and poisoning. Nevertheless, indirect effects may exert a greater influence on bird populations. These effects include noise, artificial light, barriers to movement, and edges associated with roads. Moreover, indirect and direct effects may act synergistically to cause decreases in population density and species richness. Of the many effects of roads, it appears that road mortality and traffic noise may have the most substantial effects on birds relative to other effects and taxonomic groups. Potential measures for mitigating the detrimental effects of roads include noise-reduction strategies and changes to roadway lighting and vegetation and traffic flow. Road networks and traffic volumes are projected to increase in many countries around the world. Increasing habitat loss and fragmentation and predicted species distribution shifts due to climate change are likely to compound the overall effects of roads on birds.