Multimodal Connections with Transitways: Ridership, Access Mode, and Route Choice Implications - Phase II Analysis and Documentation

Principal Investigator:

Yingling Fan, Assistant Professor, Humphrey School of Public Affairs


  • Andrew Guthrie, Research Fellow, Humphrey School of Public Affairs
  • Alireza Khani, Assistant Professor, Civil, Environmental and Geo-Engineering

Project Summary:

Transit trips have an inherent degree of complexity that sets them apart from automotive trips: all transit trips are actually multimodal trips. Every transit trip includes an access leg (from trip origin to boarding stop), a line-haul leg aboard a transit vehicle and an egress leg (from alighting stop to trip destination). Traditionally, transit planning has focused on promoting pedestrian access and egress modes in the urban core, while allowing for personal auto access legs in the suburbs through the provision of park-and-ride facilities. Recent developments in transit and transportation in general have rendered this understanding of transit access and egress modes overly simplistic, specifically: the proliferation of transitways, such as light rail or bus rapid transit line, effectively creating hierarchical transit systems in regions across the nation, as well as the proliferation of non-personal auto modes of transportation such as bike sharing and car sharing, and of mobility-focused mobile apps provided by transit agencies and private companies that facilitate trip planning, fare payment and/or ride hailing. This research will explore the impact of station-area intermodal transportation services and facilities such as park-and-ride lots, connecting bus services, car sharing and bike sharing services and mobility app availability at the agency and region level on transitway ridership at the station level using a direct ridership model, explore the determinants of access and egress mode choice at the individual level through the use of a discrete choice model and explore individual-level route choice through the transit system. Transit route choice is inherently more complex due to: first, factors affecting users' perceptions of transit such as transfers between routes or waiting time at stops, second, the availability of many possible routes in a large-scale network which leads to complexity in determining a universal set of attractive paths for an individual, and third, the joint choice between access mode and stop choice. (For example: a rider choosing between and walk-and-ride trip and a park-and-ride trip would often board at different stops under each scenario.) The proposed research will advance understanding of how to maximize transitway ridership using multimodal connections, how transit users choose among those connections and how they choose among different transit routes.


Project Details:

  • Start date: 11/2017
  • Project Status: Active
  • Research Area: Planning and Economy
  • Topics: Planning, Transit