E-Bikes' Effect on Mode and Route Choice: A Case Study of Richmond, VA, Bikeshare

Bikesharing systems across the United States are embracing electric-assist bikes (e-bikes) in their fleet of docked and dockless bikes to address physical and mobility barriers to biking. E-bikes allow riders to traverse upgrades and accelerate with less exertion. Despite this known benefit, there is a lack of understanding in how travel behavior changes after the introduction of e-bikes. In spring 2019, RVA Bikeshare is fully converting their bike fleet from traditional to e-bikes. Using global positioning system (GPS) data 6 months prior and 6 months following the deployment of e-bikes, this study will determine the effect of e-bikes on mode and route choice decisions. This study will be able to segment mobility factors from safety factors and will provide recommendations on bike infrastructure place and route guidance.

Language

  • English

Project

  • Status: Active
  • Funding: $133407
  • Contract Numbers:

    Grant No. 69A43551747123

  • 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:

    Urban Mobility & Equity Center

    Morgan State University
    Baltimore, MD  United States  21251
  • Performing Organizations:

    Morgan State University

    1700 E. Cold Spring Lane
    Baltimore, MD 21251, Maryland  United States  21251

    University of Maryland, College Park

    3112 Lee Building
    College Park, MD  United States  20742
  • Principal Investigators:

    Chavis, Celeste

  • Start Date: 20190919
  • Expected Completion Date: 20200915
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01711284
  • Record Type: Research project
  • Source Agency: Urban Mobility & Equity Center
  • Contract Numbers: Grant No. 69A43551747123
  • Files: UTC, RiP
  • Created Date: Jul 18 2019 11:42AM