Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Potential Impacts of Highly Automated Vehicles and Shared Mobility on Traveler Behavior

In recent years, economic, environmental, and social forces have quickly given rise to shared and on-demand mobility, a collective of entrepreneurs and consumers leveraging technology to share transportation resources, save money, and generate capital. Ridesourcing/ transportation network company (TNC) services, such as Lyft and Uber, and peer-to-peer carsharing services, such as Getaround and Turo, have become part of a sociodemographic trend that has pushed shared on-demand mobility from the fringe into the mainstream. A number of social, environmental, and behavioral impacts have been attributed to shared mobility, and an increasing body of empirical evidence supports many of these relationships. The various effects can be grouped into four categories: (1) travel behavior, (2) environmental, (3) land use, and (4) social. These impacts can include sold vehicles or delayed or foregone vehicle purchases; increased use of some alternative transportation modes (e.g., walking, biking); changes in vehicle miles/kilometers traveled (VMT/VKT); increased access and mobility; reduced fuel consumption and greenhouse gas emissions (particularly when fleets are electrified); and greater environmental awareness. However, the impacts of automated vehicles (AVs) and shared AVs (SAVs) are uncertain. One possible outcome is that existing roadway capacity may increase due to more efficient operations associated with automation (e.g., closer vehicle spacing, etc.). Conversely, there is a possibility for widespread AV and SAV adoption that could induce VMT by making automobile trips more convenient and affordable with fewer hassles than personal driving, such as parking. This could potentially negatively impact the nation’s roadway infrastructure through increased VMT and vehicle use. As such, more research is needed to understand the impacts of highly AVs (HAVs) and SAVs on travel behavior. The objective of this research is to explore the potential impacts of HAVs and shared mobility on VMT and system capacity, as well as the behavior of other road users, particularly in light of the potential for zero occupancy vehicles. Key objectives of this research include: (1) Understanding the impact of HAVs and SAVs on private vehicle ownership and use in an automated future; (2) Understanding the relationship and interaction of HAVs and SAVs on public transportation; (3) Understanding the impacts of HAVs and SAVs on individual modal choice and willingness to use active transportation, public transportation, and other modes; and (4) Understanding the VMT, congestion, air emissions (greenhouse gas (GHG) emissions and criteria pollutants) of SAVs and HAVs under a variety potential deployment scenarios, such as: (a) The travel behavior and environmental impacts of HAVs and SAVs on jobs and housing location decisions (i.e., will HAVs/SAVs encourage denser urban cores, suburban/exurban growth, or a combination of both, and under what circumstances?); (b) The travel behavior and environmental impacts of HAVs and SAVs based on business model deployment (i.e., business-to-consumer, peer-to-peer, or mixed fleets); and (c) The travel behavior and environmental impacts of HAVs and SAVs based on a variety of pricing and pooling scenarios (i.e., will zero occupant vehicles be permissible and, if so, under what circumstances?).


  • English


  • Status: Proposed
  • Funding: $450000
  • Contract Numbers:

    Project 20-102(23)

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Parker, Stephan

  • Start Date: 20190208
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01693010
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 20-102(23)
  • Files: TRB, RIP
  • Created Date: Feb 18 2019 3:05PM