Modeling Willingness-to-share Trips in an Autonomous Vehicle Future: A Stochastic Psychological Latent Construct Approach

Shared autonomous vehicle (SAV) systems, in which autonomous vehicles (AVs) are owned by transportation network companies that offer Mobility as a Service (MaaS) to customers, are gaining considerable research attention. SAVs have the potential to reduce vehicle ownership and parking requirements, improve traffic conditions, and minimize empty-vehicle travel. However, the extent to which each of these potentials can be achieved depends on consumers’ willingness to adopt such services as well as their disposition to sharing rides. While both MaaS and SAV adoption have received some attention in the literature (for example, Krueger et al., 2016; Rayle et al., 2016; Clewlow and Mishra, 2017; Dias et al., 2017; Lavieri et al., 2017), there is no specific discussion and measurement about willingness-to-share (WTS). The objective of this project is to develop this notion of WTS in the transportation context and propose a measuring and modeling approach to this concept. The developed modeling framework will be used to investigate variations in WTS and value of travel time (VTT) across distinct population segments for different trip purposes. Outcomes from this investigation can contribute to SAV adoption forecasts and guide SAV demand assumptions in traffic models.


  • English


  • Status: Active
  • Contract Numbers:


  • 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: 20180901
  • Expected Completion Date: 20200831
  • Actual Completion Date: 0
  • Source Data: 155

Subject/Index Terms

Filing Info

  • Accession Number: 01672118
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: DTRT13-G-UTC58
  • Files: UTC, RIP
  • Created Date: Jun 15 2018 3:59PM