Interaction of Familiarity, Safety Perceptions, and Willingness to Use Autonomous Vehicles in A Structural Equation Modeling Framework

Autonomous Vehicles (AVs) are an important technology in the future of transportation systems. While attitudes and perceptions towards AV have been studied in the past, the role of different levels of AV familiarity in shaping relative attitudes and expected adoption has been underexplored. Using the TOMNET Transformative Technologies in Transportation (T4) Survey data that serves as the base for this study, 47 percent were somewhat or very familiar with AVs while 36 percent had heard but did not know much about them and 15 percent had never heard of AVs before. Based on these survey results, the level of familiarity increases among higher educated people, ridehailing systems users, people with variety-seeking attitudes, male, non-Hispanic, and higher-income people. The goal of this project is to study the multivariate relationships between different levels of AV familiarity, positive perceptions toward AV, and potential adoption of AV in the future, accounting for environmental friendliness, tech savviness, and also general socioeconomic attributes. To accomplish that, a structural equation model was estimated. The results of this study will help policymakers to understand better the effects of familiarity and perceptions on willingness to use AVs, allowing for more informed decisions regarding public education strategies and investments to ensure the smooth adoption of an automated future.


  • English


  • Status: Completed
  • 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
  • Managing Organizations:

    Center for Teaching Old Models New Tricks (TOMNET)

    Arizona State University
    Tempe, AZ  United States  85287
  • Project Managers:

    Pendyala, Ram

  • Performing Organizations:

    Arizona State University, Tempe

    Tempe, AZ  United States 
  • Principal Investigators:

    Khoeini, Sara

    Pendyala, Ram

  • Start Date: 20200801
  • Expected Completion Date: 0
  • Actual Completion Date: 20210731
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01877095
  • Record Type: Research project
  • Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
  • Contract Numbers: 69A3551747116
  • Files: UTC, RIP
  • Created Date: Mar 24 2023 10:58AM