Bicycle Safety Analysis: Crowdsourcing Bicycle Travel Data to Estimate Risk Exposure and Create Safety Performance Functions

Around 700 bicycle fatalities happen every year, and the number has steadily increased since 2009. At the same time Seattle, Washington, and Portland, Oregon, are promoting cycling as a healthy transportation mode, so bicycle safety has become a more urgent concern for the Pacific Northwest area. The Highway Safety Manual provides an evidence-based approach – safety performance function (SPFs) to evaluate safety for common traffic, but not, however, for bicycles. Therefore, a data-driven and evidence-based bicycle safety evaluation method is needed specifically for the Pacific Northwest region. Based on the first bicycle SPFs created by Krista Nordback in 2013, the authors used STRAVA bicycle count data (a type of crowdsourced bicycle travel data), other traffic count data, and bicycle crash data to establish Pacific Northwest SPFs in terms of bike count and crash frequency for road intersections. The SPFs demonstrated the relationship between crash frequency and traffic and bike volumes. The intersections with higher traffic volumes had higher bicycle crash frequencies. In addition, this project improved the usability of a GIS tool that had been created during a previous PacTrans project to estimate bicycle exposure. States DOTs and other agencies can use the SPFs to screen and identify previous bicycle black spots in the Pacific Northwest region in order to optimize safety investments.

  • Record URL:
  • Corporate Authors:

    Pacific Northwest Transportation Consortium

    University of Washington
    More Hall Room 112
    Seattle, WA  United States  98195-2700

    University Transportation Center Region 10

    More Hall 112
    Box 352700
    Seattle, WA  United States  98195

    Research and Innovative Technology Administration

    Department of Transportation
    1200 New Jersey Avneue, SE
    Washington, DC  United States  20590

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Wang, Haizhong
    • Chen, Chen
    • Wang, Yinhai
    • Pu, Ziyuan
    • Lowry, Michael B
  • Publication Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Research Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 102p

Subject/Index Terms

Filing Info

  • Accession Number: 01675311
  • Record Type: Publication
  • Contract Numbers: DTRT-13-G-UTC40
  • Files: UTC, TRIS, RITA, ATRI, USDOT
  • Created Date: Jul 5 2018 10:52AM