Spatial Analysis of Bicycle Count Data

Every year since 2010, volunteers from more than 50 communities have helped the Washington State Department of Transportation (WSDOT) collect bicycle count data. This project created the Annual Average Daily Bicyclists (AADB) Estimation website that communities can use to make maps of bicycle volumes across their street network count data. Someone using the website begins by uploading a spreadsheet of short-duration count data (i.e., manual counts for a period of less than 24 hours). The website analyzes the short-duration count data and seasonally adjusts the values on the basis of continuous count data that WSDOT collects at locations throughout the state and from other sources. The seasonally adjusted values are an estimation of AADB. Next, the website spatially extrapolates AADB from the count locations to every segment in the street network. The spatial extrapolation is done by predicting the flow of bicycle travel between commercial destinations and residential locations that have been synthesized from U.S. Census bicycle commuting information. The AADB Estimation website can help communities conduct safety analyses and prioritize new bicycle infrastructure.

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

    University of Idaho, Moscow

    Department of Civil Engineering
    P.O. Box 441022
    Moscow, ID  United States  83844-1022

    Washington State Department of Transportation

    310 Maple Park Avenue, SE, P.O. Box 47300
    Olympia, WA  United States  98504

    Pacific Northwest Transportation Consortium

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

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Lowry, Michael B
  • Publication Date: 2017-11-14


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 48p

Subject/Index Terms

Filing Info

  • Accession Number: 01708084
  • Record Type: Publication
  • Report/Paper Numbers: 2015-S-UI-101, Report No. 17-01
  • Contract Numbers: DTRT13-G-UTC40; UWSC8235 BPO3863
  • Created Date: Jun 7 2019 9:01AM