Modeling Multi-Modal Mobility in a Coupled Morning-Evening Commute Framework That Considers Deadheading and Flexible Pooling

The authors develop a general equilibrium model to capture the complex interactions between solo driving, rideshare and ride-hailing services such as Uber and Lyft that allows travelers to switch between different transportation modes and allows passengers from different Origin-Destination (OD) pairs to share a ride together in a coupled morning-evening commute framework. The model is formulated as a variational inequality (VI), and reformulated as an equivalent mixed complementarity problem (MiCP). Then the authors prove the existence of an equilibrium solution, and provide the conditions on the model parameters under which the equilibrium will be unique. Furthermore, the authors prove that the travelers' disutility of the coupled model will not be worse than that of a decoupled modeling approach. The computational results on the Sioux-Falls network show that the model captures the possible mode switches between morning and evening commutes, as well as the detour of rideshare drivers to pick up or drop off passengers. Furthermore, the numerical examples demonstrate that modeling morning and evening commutes separately tends to overestimate the number of drivers and total Vehicle Hours Traveled (VHT) in the network when accounting for the coupling interaction effects between morning and evening commutes.

• Summary URL:
  https://www.metrans.org/research/-modeling-multi-modal-mobility-in-a-coupled-morning-evening-commute- framework-that-considers-deadheading-and-flexible-pooling
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/67536
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  METRANS Transportation Consortium

  University of Southern California
  Los Angeles, CA  United States 

  Pacific Southwest Region University Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089

  California Department of Transportation

  Division of Research and Innovation and System Information, MS-83
  1727 30th Street
  Sacramento, CA  United States  95816

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Pang, Jong-Shi
  • Zhang, Michael
  • Dessouky, Maged
  • Gu, Wei
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 52p

Subject/Index Terms

• TRT Terms: Commuting; Modal shift; Origin and destination; Periods of the day; Ridesharing; Ridesourcing; Traffic equilibrium
• Geographic Terms: Sioux Falls (South Dakota)
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01885129
• Record Type: Publication
• Report/Paper Numbers: PSR-21-04
• Contract Numbers: Caltrans 65A0674
• Files: UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Jun 20 2023 10:05AM