2000-12-01
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Journal of Transportation and Statistics
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Pickup trucks, sport utility vehicles (SUVs), and minivans are classified as light duty trucks (LDTs) in the United States, resulting in a variety of regulatory protections. According to production and purchase trends, Americans have shifted toward a significantly higher use of such vehicles for personal travel. This research explores the subtle di
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Kockelman, K., & Zhao, Y. (2000). Behavioral Distinctions: The Use of Light-Duty Trucks and Passenger Cars. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501635
Kockelman, KM and Y Zhao. Behavioral Distinctions: The Use of Light-Duty Trucks and Passenger Cars. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501635.
Kockelman, KM, and Y Zhao Behavioral Distinctions: The Use of Light-Duty Trucks and Passenger Cars. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501635.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-12-01
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Transportation Statistics Annual Report (TSAR)
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The Transportation Statistics Annual Report (TSAR) is a Congressionally mandated publication with wide distribution. The TSAR provides the most comprehensive overview of U.S. transportation that is done on an annual basis. TSAR examines the extent of the system, how it is used, how well it works, how it affects people and the economy, and how it re
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Transportation Statistics Annual Report 2000 (Report No. BTS 01-02). United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1500986
United States. Department of Transportation. Bureau of Transportation Statistics. Transportation Statistics Annual Report 2000. Report no. BTS 01-02. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1500986.
United States. Department of Transportation. Bureau of Transportation Statistics Transportation Statistics Annual Report 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, Report no. BTS 01-02, ROSA P. https://doi.org/10.21949/1500986.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-12-01
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Multimodal Transportation Indicators
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This report provides timely and easily accessible information for the transportation community. It was developed by the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation (DOT), and is updated every two months on the BTS website. The indicators fall under two broad categories: those that provide context about the eco
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Transportation Indicators: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524093
United States. Department of Transportation. Bureau of Transportation Statistics. Transportation Indicators: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524093.
United States. Department of Transportation. Bureau of Transportation Statistics Transportation Indicators: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524093.
2000-12-01
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Journal of Transportation and Statistics
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A number of agencies collect roadway inventory data using the traditional manual method. Representing an advancement in roadway inventory data collection, mobile mapping systems use state-of-the-art imaging, georeference, and software technologies to collect data and are emerging as an alternative to the manual method. To gain an in-depth understan
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Khattak, A. J. (. J. 1., Hummer, J. E., & Karimi, H. A. (2000). New and Existing Roadway Inventory Data Acquisition Methods. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501493
Khattak, Aemal J. (Aemal Jan), 1964-, Joseph E. Hummer, and Hassan A. Karimi. New and Existing Roadway Inventory Data Acquisition Methods. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501493.
Khattak, Aemal J. (Aemal Jan), 1964-, et al. New and Existing Roadway Inventory Data Acquisition Methods. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501493.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-12-01
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Pocket Guide to Transportation
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The Bureau of Transportation Statistics compiled the data in this guide from multiple sources. The guide is divided into five sections and a glossary: (1) Transportation System Extent and Use, (2) Transportation and Safety, (3) Mobility, (4) Transportation and the Economy, (5) Transportation, Energy, and the Environment, and (6) Glossary /Abstract
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Pocket Guide to Transportation 2000 (Report No. BTS00-08). United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501089
United States. Department of Transportation. Bureau of Transportation Statistics. Pocket Guide to Transportation 2000. Report no. BTS00-08. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501089.
United States. Department of Transportation. Bureau of Transportation Statistics Pocket Guide to Transportation 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, Report no. BTS00-08, ROSA P. https://doi.org/10.21949/1501089.
A number of studies of road crashes worldwide (Jacobs et al, 2000) carried out by TRL in recent years have shown that the road safety situation throughout the African continent is one of the worst in the world. With approximately only 4 per cent of the world's motor vehicles, its road fatality share is 2 1/2 times greater (10%). In several African
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Jacobs, G., & Aeron-Thomas, A. (2000). Africa Road Safety Review: Final Report (Report No. FHWA-SA-01-008). TRL Limited. https://doi.org/10.21949/1501628
Jacobs, G. and A. Aeron-Thomas. Africa Road Safety Review: Final Report. Report no. FHWA-SA-01-008. TRL Limited, 2000. https://doi.org/10.21949/1501628.
Jacobs, G., and A. Aeron-Thomas Africa Road Safety Review: Final Report. TRL Limited, 2000, Report no. FHWA-SA-01-008, ROSA P. https://doi.org/10.21949/1501628.
2000-12-01
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Journal of Transportation and Statistics
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This study analyzes the sensitivity of the efficiency indicators of a sample of European railway companies to different alternatives in output specification. The results vary according to the specification selected. Investigating the causes of these differences reveals that the efficiency indicators obtained with different specifications can be bro
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Cantos, P., Pastor, J., & Serrano, L. (2000). Efficiency Measures and Output Specification: The Case of European Railways. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501581
Cantos, P, JM Pastor, and L Serrano. Efficiency Measures and Output Specification: The Case of European Railways. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501581.
Cantos, P, et al. Efficiency Measures and Output Specification: The Case of European Railways. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501581.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-11-01
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Omnibus Surveys
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The Bureau of Transportation Statistics (BTS)—the federal statistical agency for the United States Department of Transportation (USDOT) charged with improving the knowledge base for public decision making—coordinates the Omnibus Survey program. The survey is a ONEDOT effort to collect information about the transportation system, how it is used, and
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Household Survey Results November 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524159
United States. Department of Transportation. Bureau of Transportation Statistics. Household Survey Results November 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524159.
United States. Department of Transportation. Bureau of Transportation Statistics Household Survey Results November 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524159.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-11-01
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Multimodal Transportation Indicators
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PDF
This report provides timely and easily accessible information for the transportation community. It was developed by the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation (DOT), and is updated every two months on the BTS website. The indicators fall under two broad categories: those that provide context about the eco
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Transportation Indicators: November 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524094
United States. Department of Transportation. Bureau of Transportation Statistics. Transportation Indicators: November 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524094.
United States. Department of Transportation. Bureau of Transportation Statistics Transportation Indicators: November 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524094.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-10-01
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Omnibus Surveys
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PDF
The Bureau of Transportation Statistics (BTS)—the federal statistical agency for the United States Department of Transportation (USDOT) charged with improving the knowledge base for public decision making—coordinates the Omnibus Survey program. The survey is a ONEDOT effort to collect information about the transportation system, how it is used, and
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Household Survey Results October 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524161
United States. Department of Transportation. Bureau of Transportation Statistics. Household Survey Results October 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524161.
United States. Department of Transportation. Bureau of Transportation Statistics Household Survey Results October 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524161.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-10-01
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Multimodal Transportation Indicators
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PDF
This report provides timely and easily accessible information for the transportation community. It was developed by the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation (DOT), and is updated every two months on the BTS website. The indicators fall under two broad categories: those that provide context about the eco
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Transportation Indicators: October 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524099
United States. Department of Transportation. Bureau of Transportation Statistics. Transportation Indicators: October 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524099.
United States. Department of Transportation. Bureau of Transportation Statistics Transportation Indicators: October 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524099.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-09-13
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PDF
Deaths and injuries are a major cost in transportation. Transportation fatalities rank third as the cause of lost years of life in the U.S. (behind heart disease and cancer. But the Department of Transportation has not yet responded to this public health threat by developing data programs as capable as those used in the federal medical community. T
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics (2000). Safety in Numbers: Using Statistics to Make the Transportation System Safer: Safety Data Action Plan. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501426
United States. Department of Transportation. Bureau of Transportation Statistics. Safety in Numbers: Using Statistics to Make the Transportation System Safer: Safety Data Action Plan. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501426.
United States. Department of Transportation. Bureau of Transportation Statistics Safety in Numbers: Using Statistics to Make the Transportation System Safer: Safety Data Action Plan. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501426.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-09-01
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Journal of Transportation and Statistics
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PDF
The Journal of Transportation and Statistics (JT&S) was a periodically issued journal (from 1998 to 2014) that served the transportation community by increasing the understanding of the role of transportation in society, its function in the economy, and its interactions with the environment. In addition, the JT&S provided a forum for the latest dev
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics (2000). Journal of Transportation and Statistics: Volume 3, Number 2: September 2000: Special Issue on the Statistical Analysis and Modeling of Automotive Emissions. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501396
United States. Department of Transportation. Bureau of Transportation Statistics. Journal of Transportation and Statistics: Volume 3, Number 2: September 2000: Special Issue on the Statistical Analysis and Modeling of Automotive Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501396.
United States. Department of Transportation. Bureau of Transportation Statistics Journal of Transportation and Statistics: Volume 3, Number 2: September 2000: Special Issue on the Statistical Analysis and Modeling of Automotive Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501396.
2000-09-01
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Journal of Transportation and Statistics
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PDF
The Mobile Emissions Assessment System for Urban and Regional Evaluation (MEASURE) model provides an external validation capability for hot stabilized option; the model is one of several new modal emissions models designed to predict hot stabilized emission rates for various motor vehicle groups as a function of the conditions under which the vehic
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Bachman, W., Fomunung, I., Guensler, R., & Washington, S. (2000). Validation of the Measure Automobile Emissions Model: A Statistical Analysis. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501684
Bachman, William, Ignatius Fomunung, Randall Guensler, and Simon Washington. Validation of the Measure Automobile Emissions Model: A Statistical Analysis. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501684.
Bachman, William, et al. Validation of the Measure Automobile Emissions Model: A Statistical Analysis. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501684.
2000-09-01
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Journal of Transportation and Statistics
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PDF
The article discusses the development of a comprehensive modal emissions model that is currently being integrated with a variety of transportation models as part of National Cooperative Highway Research Program project 25-11. Described is the second-by-second engine-out and tailpipe emissions data collection on 340 light duty vehicles that were tes
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Schulz, D., Younglove, T., & Barth, M. (2000). Statistical Analysis and Model Validation of Automobile Emissions. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501658
Schulz, Daniel, Theodore Younglove, and Matthew Barth. Statistical Analysis and Model Validation of Automobile Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501658.
Schulz, Daniel, et al. Statistical Analysis and Model Validation of Automobile Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501658.
2000-09-01
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Journal of Transportation and Statistics
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PDF
A mixed effects analysis of covariance model to characterize mileage dependent emissions profiles for any given group of vehicles having a common model design is used in this paper. These types of evaluations are used by the U.S. Environmental Protection Agency to certify whether or not new models conform to existing emissions standards. The statis
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Deaton, M. L., & Winebrake, J. J. (2000). The Use of Mixed Effects ANCOVA to Characterize Vehicle Emission Profiles. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501496
Deaton, Michael L. and James J. Winebrake. The Use of Mixed Effects ANCOVA to Characterize Vehicle Emission Profiles. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501496.
Deaton, Michael L., and James J. Winebrake The Use of Mixed Effects ANCOVA to Characterize Vehicle Emission Profiles. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501496.
2000-09-01
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Journal of Transportation and Statistics
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PDF
Air quality policies, driving cycles and profiles of average driving behavior have been constructed to characterize the driving behavior of the overall fleet in an effort to ensure vehicle compliance. Chase car data and speed-time profiles of in-use vehicles recorded using a chase car method are used to build the cycles. The acceptability of using
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Morey, J. E., Limanond, T., & Niemeier, D. A. (2000). Validity of Chase Car Data Used in Developing Emissions Cycles. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501482
Morey, Jennifer E., Thirayoot Limanond, and Debbie A. Niemeier. Validity of Chase Car Data Used in Developing Emissions Cycles. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501482.
Morey, Jennifer E., et al. Validity of Chase Car Data Used in Developing Emissions Cycles. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501482.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-09-01
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Omnibus Surveys
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PDF
The Bureau of Transportation Statistics (BTS)—the federal statistical agency for the United States Department of Transportation (USDOT) charged with improving the knowledge base for public decision making—coordinates the Omnibus Survey program. The survey is a ONEDOT effort to collect information about the transportation system, how it is used, and
...
United States. Department of Transportation. Bureau of Transportation Statistics (2000). Household Survey Results September 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524166
United States. Department of Transportation. Bureau of Transportation Statistics. Household Survey Results September 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524166.
United States. Department of Transportation. Bureau of Transportation Statistics Household Survey Results September 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524166.
2000-09-01
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Journal of Transportation and Statistics
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PDF
Some of the issues complicating the statistical analysis of vehicle emissions and the effectiveness of emissions control programs are presented in this article. Issues discussed include: the variability of inter- and intra-vehicle emissions; the skewness of emission distribution from in use vehicles; the difficulty of obtaining statistically repres
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Wenzel, T., Singer, B. C., & Slott, R. (2000). Some Issues in the Statistical Analysis of Vehicle Emissions. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501665
Wenzel, Tom, Brett C. Singer, and Robert Slott. Some Issues in the Statistical Analysis of Vehicle Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501665.
Wenzel, Tom, et al. Some Issues in the Statistical Analysis of Vehicle Emissions. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501665.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-09-01
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Multimodal Transportation Indicators
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PDF
This report provides timely and easily accessible information for the transportation community. It was developed by the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation (DOT), and is updated every two months on the BTS website. The indicators fall under two broad categories: those that provide context about the eco
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United States. Department of Transportation. Bureau of Transportation Statistics (2000). Transportation Indicators: September 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524100
United States. Department of Transportation. Bureau of Transportation Statistics. Transportation Indicators: September 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524100.
United States. Department of Transportation. Bureau of Transportation Statistics Transportation Indicators: September 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524100.
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