Capturing the Impacts of Ride-sourcing and HOVs

One new paradigm of particular interest is the possibility of a mobility shift to heavy reliance on ride-sourcing services provided by transportation network companies (TNCs). Ride-sourcing services allow users to contact and utilize third parties for rides. After just over seven years of exposure to TNCs in the United States, there is market evidence of general widespread acceptance for ride-sourcing as an innovative and valuable augmentation to transportation systems. Still, while the supply market may be showing overt signs of embracing the ride-sourcing paradigm, consumer attitudes towards adoption remain uncertain. Moreover, the potential system-wide impacts of a drastic shift to autonomous ride-sourcing require a careful examination. Unintended outcomes, such as a significant increase in vehicles-miles-traveled, may lead to additional congestion, which can in turn affect choices such as residential location and trip making patterns. In this context, the use of behavioral models is critical to comprehensively asses the evolution of ride-sharing and high occupancy vehicles (HOVs).

• Record URL:
  http://ctr.utexas.edu/research/d-stop/research/projects/
• Supplemental Notes:
  • Final report: http://ctr.utexas.edu/wp-content/uploads/141.pdf

Language

• English

Project

• Status: Completed
• Contract Numbers:

  DTRT13-G-UTC58

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Bhat, Chandra

• Performing Organizations:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701
• Principal Investigators:

  Bhat, Chandra

• Start Date: 20170901
• Expected Completion Date: 20180930
• Actual Completion Date: 0
• Source Data: 141

Subject/Index Terms

• TRT Terms: Attitudes; Automated highways; High occupancy vehicles; Intelligent vehicles; Mobility; Modal shift; Ridesharing; Traffic congestion; Travel behavior
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01634962
• Record Type: Research project
• Source Agency: Data-Supported Transportation Operations and Planning Center
• Contract Numbers: DTRT13-G-UTC58
• Files: UTC, RIP
• Created Date: May 18 2017 9:35PM