Data Collection and Spatial Interpolation of Bicycle and Pedestrian Data

Cities and state Departments of Transportation (DOTs) struggle to collect and use bicycle and pedestrian data in effective and meaningful ways. Monitoring non-motorized traffic is still in its infancy compared to the well-developed practice of monitoring motorized traffic. In the last few years there has been an explosion of citizen-volunteer programs to manually count bicycle and pedestrian volumes. These "grass-roots" efforts to improve bicycle and pedestrian data collection have been motivated by concerns about the environment, community livability, obesity, and personal safety. There are exciting opportunities for using these data for transportation planning purposes (in addition to the benefits of increased citizen engagement), but there are also a number of challenges because the count durations are usually very short (typically only two hours), sporadic, and sometimes inconsistent in terms of when, where, and who is collecting the data. In the last few years there have also been significant advances in sensor technology which have greatly increased the possibilities for automated data collection; but these methods also pose a number of challenges that need to be overcome. This project will develop strategies for improving and integrating automated and manual count programs. Furthermore, this project will create new methodologies and tools to estimate bicycle and pedestrian demand based on manual and automated data collection (i.e. spatial and temporal interpolation of observed data).


    • English


    • Status: Completed
    • Funding: $200000.00
    • Contract Numbers:


    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Project Managers:

      Hallenbeck, Mark

      Abdel-Rahim, Ahmed

      Dixon, Michael

      Wang, Yinhai

      Lowry, Michael

    • Performing Organizations:

      University of Washington, Seattle

      Civil and Environmental Engineering Department
      201 More Hall, Box 352700
      Seattle, WA  United States  98195-2700

      University of Idaho, Moscow

      Department of Civil Engineering
      875 Perimeter Drive MS 1022
      Moscow, ID  United States  83844-1022
    • Principal Investigators:

      Lowry, Michael

    • Start Date: 20130701
    • Expected Completion Date: 0
    • Actual Completion Date: 20141031
    • Source Data: RiP Project 35656

    Subject/Index Terms

    Filing Info

    • Accession Number: 01497975
    • Record Type: Research project
    • Source Agency: Pacific Northwest Transportation Consortium
    • Contract Numbers: DTRT12-G-UTC10
    • Files: UTC, RiP
    • Created Date: Nov 15 2013 1:01AM