Modeling Cyclists’ Willingness to Deviate from Shortest Path Using Revealed Preference Data

Building separate infrastructure for cyclists is often capital intensive and heavily used arterials may not always have enough right-of-way to accommodate additional bicycling infrastructure. Therefore, to maximize the cost-benefit aspect of any such project, it is necessary for planners to know how far cyclists are willing to travel to access a safer route as compared to the shortest distance route. The research presented in this paper uses two-part (2PM) regression and a sample selection model to understand what factors influence a cyclist to choose a longer route and by how much they are willing to deviate. In both the methods, the first part models a cyclist’s decision to choose the shortest route as a binary probit model, while the second part models the percentage deviation from the shortest route. The two-part model treats the two steps as two different decision processes while the sample selection model conditions the percentage deviation on the decision to not choose the shortest path. Since it not clear apriori whether these two decision processes are related or not, both model results are presented and compared. No significant bearing from thedecision to not choose the shortest path was found on the percentage deviation from the shortest path. Model results indicate that cyclists in senior age groups are more likely to deviate from the shortest route as are less confident riders. Availability of bicycling facilities, low average annual daily traffic (AADT),and low speed limitssignificantly influence a rider to choose a route away from the shortest route.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Misra, Aditi
    • Watkins, Kari
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01623115
  • Record Type: Publication
  • Report/Paper Numbers: 17-03556
  • Files: PRP, TRIS, TRB, ATRI
  • Created Date: Dec 8 2016 11:21AM