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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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 3: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501397
United States. Department of Transportation. Bureau of Transportation Statistics. Journal of Transportation and Statistics: Volume 3, Number 3: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501397.
United States. Department of Transportation. Bureau of Transportation Statistics Journal of Transportation and Statistics: Volume 3, Number 3: December 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501397.
The Mobile Source Emission Factor Model used to estimate the inventory of exhaust and evaporative emissions from on-road motor vehicles is currently being revised by the U.S. Environmental Protection Agency. The framework used in calculating basic exhaust emission rates as a function of accumulated vehicle mileage is described. The revised MOBILE6
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Enns, P. (2000). A Framework for Modeling In-Use Deterioration of Light-Duty Vehicle Emissions Using MOBILE6. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501596
Enns, Phil. A Framework for Modeling In-Use Deterioration of Light-Duty Vehicle Emissions Using MOBILE6. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501596.
Enns, Phil A Framework for Modeling In-Use Deterioration of Light-Duty Vehicle Emissions Using MOBILE6. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501596.
United States. Department of Transportation. Bureau of Transportation Statistics
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2000-09-01
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EXCEL
The Bureau of Transportation Statistics in partnership with the U.S. Department of Transportation's Office of Intermodalism and the Federal Highway Administration sponsored the development of an Intermodal Bottleneck Evaluation Tool (IBET) to provide information and assist transportation planners and policymakers in identifying potential freight bo
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics, United States. Federal Highway Administration, & Oak Ridge National Laboratory (2000). Intermodal Bottleneck Evaluation Tool (IBET). United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501395
United States. Department of Transportation. Bureau of Transportation Statistics, United States. Federal Highway Administration, and Oak Ridge National Laboratory. Intermodal Bottleneck Evaluation Tool (IBET). United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501395.
United States. Department of Transportation. Bureau of Transportation Statistics, et al. Intermodal Bottleneck Evaluation Tool (IBET). United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501395.
2000-09-01
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Journal of Transportation and Statistics
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The deficient transportation system of Beirut results in significant economic losses for the city and causes severe traffic congestion in the urban areas. Proposals have been made for grade separations at some of the worst congested intersections. The major concern at these intersections is air quality which greatly depends on the geometric configu
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El-Fadel, M., Najm, M. A., & Sbayti, H. (2000). Air Quality Assessment at a Congested Urban Intersection. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501595
El-Fadel, Mutasem, Majdi Abou Najm, and Hayssam Sbayti. Air Quality Assessment at a Congested Urban Intersection. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501595.
El-Fadel, Mutasem, et al. Air Quality Assessment at a Congested Urban Intersection. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501595.
he Bureau of Transportation Statistics (BTS) has a requirement to conduct a national survey about satisfaction with transportation across all transportation modes. The information derived from this survey will be used as a primary source of data on satisfaction with travel and transportation, with a particular emphasis on highway-related travel. Th
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Battelle, & Mathematica Policy Research, Inc. (2000). Final Codebook (Public Use) and Technical Documentation: Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey (Report No. 0002AM). Battelle. https://doi.org/10.21949/1524137
Battelle and Mathematica Policy Research, Inc.. Final Codebook (Public Use) and Technical Documentation: Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey. Report no. 0002AM. Battelle, 2000. https://doi.org/10.21949/1524137.
Battelle, et al. Final Codebook (Public Use) and Technical Documentation: Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey. Battelle, 2000, Report no. 0002AM, ROSA P. https://doi.org/10.21949/1524137.
This study collected data for the Bureau of Transportation Statistics (BTS) Omnibus Survey during the summer of 2000. Data were collected from households in the U.S. using a random-digit- dialed telephone survey. The final completed sample size is 2,030 cases, and the total number of variables in the data set is 207. The data were collected by Batt
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Battelle Memorial Institute (2000). Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey: Final Codebook (Public Use) and Technical Documentation. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524002
Battelle Memorial Institute. Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey: Final Codebook (Public Use) and Technical Documentation. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524002.
Battelle Memorial Institute Survey Administration for the Summer 2000 Bureau of Transportation Statistics Omnibus Survey: Final Codebook (Public Use) and Technical Documentation. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524002.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-08-01
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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 August 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1524140
United States. Department of Transportation. Bureau of Transportation Statistics. Household Survey Results August 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1524140.
United States. Department of Transportation. Bureau of Transportation Statistics Household Survey Results August 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1524140.
Information about land use by and adjacent to transportation systems is essential to understanding the environmental impacts of transportation systems. Nevertheless, such data are presently sparse and incomplete, especially at the national scale. To address the need for land use data, the Bureau of Transportation Statistics (BTS) and Oak Ridge Nati
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Xiong, D. (2000). Database Development of Land Use Characteristics along Major U.S. Highways (Report No. ORNL/TM-2000/160). Oak Ridge National Laboratory. https://doi.org/10.21949/1501667
Xiong, D.. Database Development of Land Use Characteristics along Major U.S. Highways. Report no. ORNL/TM-2000/160. Oak Ridge National Laboratory, 2000. https://doi.org/10.21949/1501667.
Xiong, D. Database Development of Land Use Characteristics along Major U.S. Highways. Oak Ridge National Laboratory, 2000, Report no. ORNL/TM-2000/160, ROSA P. https://doi.org/10.21949/1501667.
2000-04-01
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Journal of Transportation and Statistics
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This paper seeks to illuminate the status of transportation safety and risk for large-quantity shipments of spent commercial reactor fuel and mixed and hazardous wastes by examining road and rail accident and vehicular travel data from the mid-1990s. Of special interest are the effect of speed limit changes on controlled access expressways (chiefly
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Saricks, C. L., & Tompkins, M. M. (2000). Highway and Railroad Operating Environments for Hazardous Shipments in the United States–Safer in the '90s?. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501501
Saricks, Christopher L. and Melanie M. Tompkins. Highway and Railroad Operating Environments for Hazardous Shipments in the United States–Safer in the '90s?. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501501.
Saricks, Christopher L., and Melanie M. Tompkins Highway and Railroad Operating Environments for Hazardous Shipments in the United States–Safer in the '90s?. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501501.
2000-04-01
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Journal of Transportation and Statistics
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As a commodity, transportation has a supply side and a demand side. Unlike many other commodities, however, transportation's supply and demand overlap extensively. A significant portion of transportation is provided by consumers for their own use. Therefore, transportation means not only transportation industries, those businesses whose primary act
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Han, X., & Fang, B. (2000). Four Measures of Transportation's Economic Importance. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501625
Han, Xiaoli. and Bingsong Fang. Four Measures of Transportation's Economic Importance. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501625.
Han, Xiaoli., and Bingsong Fang Four Measures of Transportation's Economic Importance. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501625.
2000-04-01
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Journal of Transportation and Statistics
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Using data from the 1997 Survey of Drivers conducted by the University of Michigan Trucking Industry Program, we identify the factors which substantially affect three safety measures: accidents, moving violations, and hours of service violations. The variables used include both operational characteristics (firm size, trailer type) and personal char
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Monaco, K., & Williams, E. (2000). Assessing the Determinants of Safety in the Trucking Industry. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501642
Monaco, Kristen and Emily Williams. Assessing the Determinants of Safety in the Trucking Industry. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501642.
Monaco, Kristen, and Emily Williams Assessing the Determinants of Safety in the Trucking Industry. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501642.
United States. Department of Transportation. Bureau of Transportation Statistics
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2000-04-01
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Commodity Flow Survey (CFS)
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The 1997 Commodity Flow Survey (CFS) is undertaken through a partnership between the Bureau of the Census, U.S. Department of Commerce, and the Bureau of Transportation Statistics, U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value,
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics, & United States. Department of Commerce. Bureau of the Census (2000). 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Hazardous Materials (Report No. EC97TCF-US(HM)RV). United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501459
United States. Department of Transportation. Bureau of Transportation Statistics and United States. Department of Commerce. Bureau of the Census. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Hazardous Materials. Report no. EC97TCF-US(HM)RV. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501459.
United States. Department of Transportation. Bureau of Transportation Statistics, et al. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Hazardous Materials. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, Report no. EC97TCF-US(HM)RV, ROSA P. https://doi.org/10.21949/1501459.
We investigate the hypothesis of induced travel demand. County level data from Maryland, Virginia, North Carolina, and Washington, DC are used to estimate? fixed-effects? cross-sectional time-series models that relate travel levels, measured as daily vehicle miles of travel, to roadway capacity in lane-miles. This includes analysis of a difference
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Fulton, L. M., Noland, R. B., Meszler, D. J., & Thomas, J. (2000). A Statistical Analysis of Induced Travel Effects in the U.S. Mid-Atlantic Region. Journal of Transportation and Statistics. https://doi.org/10.21949/1506078
Fulton, L. M., R. B. Noland, D. J. Meszler, and J. Thomas. A Statistical Analysis of Induced Travel Effects in the U.S. Mid-Atlantic Region. Journal of Transportation and Statistics, 2000. https://doi.org/10.21949/1506078.
Fulton, L. M., et al. A Statistical Analysis of Induced Travel Effects in the U.S. Mid-Atlantic Region. Journal of Transportation and Statistics, 2000, ROSA P. https://doi.org/10.21949/1506078.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-04-01
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Journal of Transportation and Statistics
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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 1: April 2000. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501618
United States. Department of Transportation. Bureau of Transportation Statistics. Journal of Transportation and Statistics: Volume 3, Number 1: April 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501618.
United States. Department of Transportation. Bureau of Transportation Statistics Journal of Transportation and Statistics: Volume 3, Number 1: April 2000. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501618.
United States. Department of Transportation. Bureau of Transportation Statistics
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2000-04-01
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Commodity Flow Survey (CFS)
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The Commodity Flow Survey comprises one section of the 1997 Economic Census. The economic census is the major source of facts about the structure and functioning of the Nation's economy. It provides essential information for government, business, industry, and the general public. Title 13 of the United States Code (Sections 131, 191, and 224) direc
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics, & United States. Census Bureau (2000). 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Exports (Report No. EC97TCF-US(EXP)). United States. Department of Commerce. Census Bureau. https://doi.org/10.21949/1500971
United States. Department of Transportation. Bureau of Transportation Statistics and United States. Census Bureau. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Exports. Report no. EC97TCF-US(EXP). United States. Department of Commerce. Census Bureau, 2000. https://doi.org/10.21949/1500971.
United States. Department of Transportation. Bureau of Transportation Statistics, et al. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: United States: Exports. United States. Department of Commerce. Census Bureau, 2000, Report no. EC97TCF-US(EXP), ROSA P. https://doi.org/10.21949/1500971.
2000-04-01
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Journal of Transportation and Statistics
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This study uses commodity flows from the 1993 Commodity Flow Survey (CFS) together with Input-Output (I-O) coefficients to generate truck flows for the state of Wisconsin. Production and attraction rates in tons, for the heavy truck mode only, were derived at the county level using employment for 28 economic sectors. The CFS, a joint product of the
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Sorratini, J. A. (2000). Estimating Statewide Truck Trips Using Commodity Flows and Input-Output Coefficients. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501476
Sorratini, Jose A.. Estimating Statewide Truck Trips Using Commodity Flows and Input-Output Coefficients. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501476.
Sorratini, Jose A. Estimating Statewide Truck Trips Using Commodity Flows and Input-Output Coefficients. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501476.
2000-04-01
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Journal of Transportation and Statistics
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Managing the transport assets of an urban economy and ensuring that change is in accordance with suitable performance measures requires continuing improvement in analytical power and empirical information. One crucial input for improving planning and policy support in urban transport in an ongoing review of data and modeling capability is a recogni
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Hensher, D. A. (2000). Assessing Data and Modeling Needs for Urban Transport: An Australian Perspective. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501473
Hensher, David. A.. Assessing Data and Modeling Needs for Urban Transport: An Australian Perspective. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501473.
Hensher, David. A. Assessing Data and Modeling Needs for Urban Transport: An Australian Perspective. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501473.
The Office of Airline Information issues its latest 'Air Carrier Reporting Punctuality Assessment' report. The report is issued quarterly covering the most recent six-month period. This report covers the period from July 1, 1999, through December 31, 1999. This report contains seven tables showing the timeliness factor for each air carrier's recurr
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United States. Office of Airline Information (2000). Air Carrier Reporting Punctuality Assessment: Accounting and Report Directive: [2000]. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501458
United States. Office of Airline Information. Air Carrier Reporting Punctuality Assessment: Accounting and Report Directive: [2000]. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501458.
United States. Office of Airline Information Air Carrier Reporting Punctuality Assessment: Accounting and Report Directive: [2000]. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501458.
United States. Department of Transportation. Bureau of Transportation Statistics
2000-03-01
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The Bureau of Transportation Statistics (BTS) is one of eleven operating administrations within the U.S. Department of Transportation (DOT). BTS puts together data and information that others need to make decisions concerning transportation. We collect data; compile, analyze and publish statistics; and generally coordinate the statistical programs
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Supporting Files
United States. Department of Transportation. Bureau of Transportation Statistics (2000). A Strategic Plan for Transportation Statistics: 2000-2005. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1501410
United States. Department of Transportation. Bureau of Transportation Statistics. A Strategic Plan for Transportation Statistics: 2000-2005. United States. Department of Transportation. Bureau of Transportation Statistics, 2000. https://doi.org/10.21949/1501410.
United States. Department of Transportation. Bureau of Transportation Statistics A Strategic Plan for Transportation Statistics: 2000-2005. United States. Department of Transportation. Bureau of Transportation Statistics, 2000, ROSA P. https://doi.org/10.21949/1501410.
United States. Department of Commerce. Bureau of the Census
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2000-02-01
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Commodity Flow Survey (CFS)
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The 1997 Commodity Flow Survey (CFS) is undertaken through a partnership between the Bureau of the Census, U.S. Department of Commerce, and the Bureau of Transportation Statistics, U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value,
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United States. Department of Commerce. Bureau of the Census, & United States. Department of Transportation. Bureau of Transportation Statistics (2000). 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: Los Angeles-Riverside-Orange County, CA CMSA (Report No. EC97TCF-MA-CA(1)). United States. Department of Commerce. Census Bureau. https://doi.org/10.21949/1521166
United States. Department of Commerce. Bureau of the Census and United States. Department of Transportation. Bureau of Transportation Statistics. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: Los Angeles-Riverside-Orange County, CA CMSA. Report no. EC97TCF-MA-CA(1). United States. Department of Commerce. Census Bureau, 2000. https://doi.org/10.21949/1521166.
United States. Department of Commerce. Bureau of the Census, et al. 1997 Economic Census: Transportation: 1997 Commodity Flow Survey: Los Angeles-Riverside-Orange County, CA CMSA. United States. Department of Commerce. Census Bureau, 2000, Report no. EC97TCF-MA-CA(1), ROSA P. https://doi.org/10.21949/1521166.
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