Bicycle Trip Forecasting Model: Cincinnati Metropolitan Case Study

The potential of bicycle and pedestrian travel to provide convenient mobility, reduce congestion, improve environmental quality, and promote public health has received increasing attention since the last decade. For concerns with the emerging issues related to transportation greenhouse gases and energy saving in the recent years, non-motorized transport means has been highly desired to promote alternatives to automobile travel. The need for improving conditions for bicyclists and pedestrians has then become critically important to the relevant planning and policymaking efforts. As a vital analysis tool, bicycle and pedestrian travel forecasting models are anticipated to greatly benefit a variety of uses. For instance, estimating the benefits of a proposed project, prioritizing projects based on the greatest benefit to existing users or on the greatest payoff in attracting new bicyclists or walkers; planning bicycle or pedestrian paths and networks, identifying and correcting deficiencies in existing networks based on desired travel patterns and facility characteristics; and planning for bicycle and pedestrian safety by developing exposure information for crash/safety models. The modeling effort requires much data, such as travel and facility characteristics as well as user preferences, to advance the state-of-the-practice in this area. However, deficiencies and limitations in existing sources for these data often hamper these efforts.


  • English


  • Status: Completed
  • Contract Numbers:



  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Performing Organizations:

    University of Cincinnati

    Civil Engineering Department, P.O. Box 210071, 741 Baldwin Hall
    Cincinnati, OH  United States  45221-0071
  • Principal Investigators:

    Wei, Heng

  • Start Date: 20120401
  • Expected Completion Date: 0
  • Actual Completion Date: 20130801
  • Source Data: RiP Project 32533

Subject/Index Terms

Filing Info

  • Accession Number: 01534482
  • Record Type: Research project
  • Source Agency: Ohio Department of Transportation
  • Contract Numbers: 24752, 134641
  • Files: RiP, STATEDOT
  • Created Date: Aug 14 2014 1:00AM