Active Transportation Measurement: Minneapolis Case Study

This research examines longitudinal bicycle count data to better understand the impact of new bicycle facilities on use. The study site is Minneapolis which has invested close to $25 million over 8 years to improve active transportation facilities as part of the federal Nonmotorized Transportation Program. Geographic information system (GIS) buffering analysis, Ordinary Least Squares regression analysis, and individual growth models were used to analyze the bicycle count data. Longitudinal analysis through the individual growth models found that three key factors appear to be leading to the growth in cycling at study locations: the presence of bicycle facilities at the count location, the existing length of bicycle facilities in the adjacent areas, and the facilities added over time. Each of these factors contributes to the growth in the number of cyclists observed at count locations over the study period.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Texas State University, San Marcos

    4214 Roy F. Mitte
    San Marcos, TX  United States  78666

    Gulf Coast Research Center for Evacuation and Transportation Resiliency

    Louisiana State University
    3221 P.F. Taylor Hall
    Baton Rouge, LA  United States  70803

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Fields, Billy
    • Cradock, Angie
    • Barrett, Jessica
    • Melley, Steve
  • Publication Date: 2013-6


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 86p

Subject/Index Terms

Filing Info

  • Accession Number: 01491377
  • Record Type: Publication
  • Report/Paper Numbers: Project # 11-08
  • Created Date: Aug 30 2013 7:22AM