Development of Grass-Roots Data Collection Methods in Rural, Isolated and Tribal Communities

Transportation agencies rely on good data for planning, design, and operations. While extensive procedures for the collection and dissemination of motor vehicle volumes and speeds have been developed over time, these same procedures do not always provide corresponding pedestrian and other non-motorized modal data. As system-level pedestrian data is limited, the ability of an agency to make an informed decision as to where potential needs are greatest is constrained. In rural, isolated, and tribal communities, these needs are further magnified as data may be entirely or almost completely non-existent. For these reasons, this project will explore the development of low-cost, low-intrusion methods of collecting pedestrian travel data.


    • Status: Completed
    • Funding: $130,000
    • Contract Numbers:

      Grant # 69A3551747129

    • Sponsor Organizations:

      Department of Transportation

      Research and Special Programs Administration
      1200 New Jersey Avenue, SE
      Washington, DC    20590

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Center for Safety Equity in Transportation

      University of Alaska Fairbanks
      Fairbanks, AK  United States  99775
    • Performing Organizations:

      University of Idaho, Moscow

      Department of Civil Engineering
      P.O. Box 441022
      Moscow, ID  United States  83844-1022
    • Principal Investigators:

      Chang, Kevin

    • Start Date: 20190901
    • Expected Completion Date: 20210731
    • Actual Completion Date: 20210701
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01716141
    • Record Type: Research project
    • Source Agency: Center for Safety Equity in Transportation
    • Contract Numbers: Grant # 69A3551747129
    • Files: UTC, RIP
    • Created Date: Sep 13 2019 8:37PM