App-Based Crowd Sourcing of Bicycle and Pedestrian Conflict Data

Most agencies and decision-makers rely on crash and crash severity (property damage only, injury or fatality) data to assess transportation safety; however, in the context of public health where perceptions of safety may influence the willingness to adopt active transportation modes (e.g. bicycling and walking), pedestrian-vehicle and other similar conflicts may represent a better performance measure for safety assessment. For transportation safety, a clear conflict occurs when two parties’ paths cross and one of the parties must undertake an evasive maneuver (e.g. change direction or stop) to avoid a crash. Other less severe conflicts where paths cross but no evasive maneuver occurs may also impact public perceptions of safety. Most existing literature on conflicts focuses on vehicle conflicts and intersections. While some research has investigated bicycle and pedestrian conflicts, most of this as focused on the intersection environment. In this project, the authors propose field testing a crowd-sourced data app to better understand the continuum of conflicts (bicycle/pedestrian, bicycle/vehicle, and pedestrian/vehicle) experienced by pedestrians and cyclists commuting to school; the study also tests the effectiveness the app and its associated crowd-sourced data collection. This study assesses the data quality of the crowd sourced data and compares it to more traditional data sources and data collection strategies and their related performance measures. Additionally, the research team investigates the process of developing crowd-sourced data and the community level factors impacting app and data collection success. If widely adopted, the app will enable communities to create their own data collection efforts to identify dangerous sites within their neighborhoods. Agencies will have a valuable data source at low-cost to help inform their decision making related to bicycle and pedestrian education, enforcement, infrastructure, programs and policies.


  • English


  • Status: Completed
  • Funding: $120001
  • Contract Numbers:



  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Transportation Research Center for Livable Communities

    Western Michigan University
    Kalamazoo, MI  United States  49009-5316

    Western Michigan University

    1903 W. Michigan Avenue
    Kalamazoo, MI  United States  49008-5241
  • Project Managers:

    Dunn, Denise

  • Performing Organizations:

    Transportation Research Center for Livable Communities

    Western Michigan University
    Kalamazoo, MI  United States  49009-5316

    University of Texas, Arlington

    Dept. of Civil Engineering
    Box 19308
    Arlington, TX  United States  76019
  • Principal Investigators:

    Mattingly, Stephen

    Casey, Colleen

    Johnson, Taylor

  • Start Date: 20150801
  • Expected Completion Date: 20170115
  • Actual Completion Date: 20170115
  • USDOT Program: University Transportation Centers
  • Subprogram: Research

Subject/Index Terms

Filing Info

  • Accession Number: 01590092
  • Record Type: Research project
  • Source Agency: Transportation Research Center for Livable Communities
  • Contract Numbers: DTRT13-G-UTC60, TRC-15-07
  • Files: UTC, RIP
  • Created Date: Feb 9 2016 2:55PM