Estimating Activity and Health Impacts of First and Last Mile Transit Access Programs for Work and Shopping Trips Using Shared Mobility Services in a Metropolitan Area

The advent of shared mobility providers (e.g., Lyft, Uber) has generated opportunities for the potential collaboration between transit agencies and these providers to explore the feasibility and benefits of complementary services. This project will explore the potential service integration by developing and modeling a first and last mile transit access shared mobility service. In doing so, the team will develop a hybrid model that combines the San Francisco Bay Area activity based travel demand model (MTC-ABM) with approximate routing and facility locations sub-routines to simulate the service. At the demonstrative level, the model will concentrate on access to subway systems for work and shopping related trips. The outcomes will be evaluated in terms of activity (VMT, congestion), and health impacts associated to the environmental emissions generated by the vehicles in the system. The process method is three-fold: 1) the team will analyze the mode and destination choice models embedded in the MTC-ABM to identify the mode choice decisions and changes to various factors and variables. Using these results, the team will evaluate the network and behavioral factors that shed some light into the variables that that can produce a significant shift to other modes (i.e., shared mobility services); 2) develop approximation models considering districting and routing to simulate the movements of individuals from origins to pick-up locations and from drop-offs to destinations. The sub-routines models will provide updated parameters of approximate costs, and travel/transfer times that could be fed back into the MTC-ABM framework. And, 3) use the activity simulated results to estimate the health impacts of implementing such a complementary service. The model could be expanded to evaluate different scenarios such as the use of zero or near zero emission vehicles as part of the shared mobility service; and benefits from autonomous and connected vehicles. Considering shopping trips during the estimation of potential demand for the service will contribute to on-going research conducted by the authors to estimate the impacts of shopping versus residential deliveries. The research team will use the Integrated Transport and Health Impacts Model (ITHIM) model developed by the California Department of Public Health to estimate health effects.

Language

  • English

Project

  • Status: Active
  • Funding: $148846
  • Contract Numbers:

    69A3551747119

  • 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:

    USDOT/OST-R

    Washington DC,   United States 
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    University of California, Davis

    1 Shields Ave
    Davis, California  United States  95616
  • Principal Investigators:

    Jaller, Miguel

    Rodier, Caroline

  • Start Date: 20161130
  • Expected Completion Date: 20181130
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01665047
  • Record Type: Research project
  • Source Agency: Center for Transportation, Environment, and Community Health
  • Contract Numbers: 69A3551747119
  • Files: UTC, RiP
  • Created Date: Mar 30 2018 11:10AM