T-SCORE Project M4 Implementation and Quantitative Evaluation: Case Studies on Microtransit and Ride-Hailing

The Transit Serving Communities Optimally, Responsively, and Efficiently Center (T-SCORE) research team developed a Multi-Modal Optimization and Simulation (MMOS) framework to capture the interactions between travelers, transit systems, and private mobility providers. The MMOS combines three layers, each representing a different type of actor. The central layer represents travelers who aim to maximize their own utility. It includes two modeling components: an activity-based model of travel demand generates the daily travel plans for a synthetic population of a city, and a multi-agent simulation predicts how those agents move through a multi-modal network and the congestion impacts as they do so. The bottom layer represents behavior of private mobility providers, such as ride-hailing drivers, that aim to maximize their own profit. The top layer represents the transit agency that aims to maximize system efficiency, as represented by the transit network design problem. Supply and demand interact between each layer, determining the overall system state. In this report, the authors describe the overall design of that system followed by the findings of two case studies: one to identify microtransit service areas and one to study the use of microtransit and ride-hailing by wheelchair users. The authors also describe an extension to develop an transferrable model of ride-hailing demand.

• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/72991
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Cover date: January 2023.
• Corporate Authors:

  University of Kentucky, Lexington

  Department of Civil Engineering
  176 Raymond Building
  Lexington, KY  United States  40506-0281

  Transit-Serving Communities Optimally, Responsively, and Efficiently Center (T-SCORE)

  Georgia Institute of Technology
  Atlanta, Georgia  United States  30332

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Erhardt, Gregory
  • 0000-0001-8133-3381
  • Macfarlane, Gregory
  • 0000-0003-3999-7584
  • Atchley, Hayden
  • Lant, Nathan
  • Mucci, Richard Alexander
  • 0000-0002-7217-6836
  • Watkins, Kari
  • 0000-0002-3824-2027
• Publication Date: 2023-3

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Case studies; Demand responsive transportation; Optimization; Public transit; Ridesourcing; Simulation; Wheelchairs
• Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01904545
• Record Type: Publication
• Report/Paper Numbers: TSCORE-M4
• Contract Numbers: 69A3552047141
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Jan 16 2024 9:02AM