Performance Measures for Bicycle and Pedestrian Safety: Methodologies for Monitoring Traffic Volumes and Assessing Exposure to Risk

Research priorities established by MAP-21 legislation with input from Region 5 state departments of transportation include traffic operational safety and identify bicyclists and pedestrians as high-risk road users. While the Minnesota Department of Transportation and other state DOTs have developed countermeasures and interventions to increase the safety of bicyclists and pedestrians, the effects of their efforts on risk, exposure to risk, and crash and fatality rates cannot be determined because state and local officials lack information about bicycle and pedestrian traffic volumes. This project is developing tools for estimating bicycle and pedestrian traffic volumes that can be used to inform assessments of exposure to risk. Researchers are collaborating with state and local agencies to conduct and analyze manual counts, deploy commercially available monitoring technologies, and collect and analyze bicycle and pedestrian traffic data. To date, researchers have estimated bicycle and pedestrian facility demand models from manual counts in Minneapolis (Hankey and Lindsey 2016, forthcoming (1)). Additionally, researchers have used counts of bicycle traffic and facility demand models estimated from those counts to characterize exposure to risk on the street network and assess crash risk in Minneapolis (Wang, Lindsey and Hankey, 2017(in revision)). Researchers also have used automated counts to assess the need for traffic controls at urban trail crossings in Minneapolis (Lindsey, Peterka, Wang, 2017(in revision)). Case studies in the smaller communities of Bemidji and Duluth involve analyses of bicycle counts and estimation of demand models similar to those estimated for Minneapolis. Estimates of bicycle traffic from demand models also have been used to estimate exposure to risks and assess crash risk in Bemidji and Duluth. The data and tools generated through this project will inform future research related to quantification of risk and crash rates and help agencies make better planning and management decisions.


  • English


  • Status: Active
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590

    Roadway Safety Institute

    University of Minnesota
    Minneapolis, MN  United States  55455
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    University of Minnesota, Minneapolis

    Center for Transportation Studies
    Minneapolis, MN  United States 
  • Principal Investigators:

    Lindsey, Greg

  • Start Date: 20140701
  • Expected Completion Date: 20180228
  • Actual Completion Date: 0
  • Source Data: RiP Project 37486

Subject/Index Terms

Filing Info

  • Accession Number: 01567221
  • Record Type: Research project
  • Source Agency: Roadway Safety Institute
  • Contract Numbers: DTRT13-G-UTC35, CTS-2015026
  • Files: UTC, RiP
  • Created Date: Jun 26 2015 1:00AM