Simulation-Optimization Framework to Evaluate a Sustainable First Mile Transit Access Program Using Shared Mobility

This study evaluates the benefits of a first mile transit access program using shared mobility services. In doing so, the authors introduce a novel simulation and optimization framework that integrates macro-simulation of travel decisions to evaluate the mode choices for work trips. Specifically, to identify the potential demand shifts from drive alone mode to the proposed ridesharing and transit program. For the shifting individuals, a continuous location-allocation optimization model finds the optimal location of meeting points where the ridesharing services picks-up the users and transports them to public transit stations. Finally, an agent-based simulation explicitly models the pick-up and transport activities. The framework allows estimating transit, travel, access, and waiting times and costs. The results provides insights for planners and policy makers to better understand the system performance, recognize the gaps and provide solutions effectively.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Jaller, Miguel
    • Pourrahmani, Elham
    • Rodier, Caroline J
    • Bischoff, Joschka
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01697996
  • Record Type: Publication
  • Report/Paper Numbers: 19-03368
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 1 2019 3:51PM