Journal of Transportation and Statistics: Volume 6, Number 1: 2003

Details

• Corporate Creators:
  United States. Department of Transportation. Bureau of Transportation Statistics
• Contributors:
  Shoup, Donald C. ; Nair, Harikesh S. ; Bhat, Chandra R. ; Miaou, Shaw-Pin ; Song, Joon Jin ; Mallick, Bani K. ; Bowling, Sarah T. ; Aultman-Hall, Lisa ; Tiwari, Piyush ; Itoh, Hidekazu ; Doi, Masayuki
  More +
• Subject/TRT Terms:
  • Transportation
  • Statistics
  • Research
  • Analysis
  • Data analysis
  • Impacts
  • Information, data, and knowledge
  • Performance
  • Renewable energy sources
  • Transportation operations
  More +
• Series:
  Journal of Transportation and Statistics
• DOI:
  https://doi.org/10.21949/1524105
• Resource Type:
  Journal
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Bureau of Transportation Statistics
• Abstract:
  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 developments in transportation information and data, theory, concepts, and methods of analysis relevant to all aspects of the transportation system. The JT&S published original research on the use of information to improve public and private decision making for transportation. Topics included: measuring transportation activity and the performance of transportation systems; quantifying and analyzing the importance of transportation and its consequences; measuring and analyzing transportation trends; advancing the science of acquiring, validating, managing and disseminating transportation information; calculating sustainable energy; and, analyzing data for transportation planning and operations. ; The papers in this issue are: Truth in Transportation Planning; Modeling Trip Duration for Mobile Source Emissions Forecasting; Roadway Traffic Crash Mapping: A Space-Time Modeling Approach; Development of a Random Sampling Procedure for Local Road Traffic Count Locations; and, Containerized Cargo Shipper’s Behavior in China: A Discrete Choice Analysis.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/58845/dot_58845_DS1.pdf
• File Type:
  [PDF - 6.93 MB]
• Collection(s):
  BTS Products
• Main Document Checksum:
  urn:sha-512:ad94892efba634f7f8213e8e68958472a47dcf61b0820fe4736454ddb1100c6a7217a1808805d21eaa98ebb7d45e7a0c43b9b006fe1bf634e2e806c96b81f8aa