Impact of Personal Attitudes on Propensity to Use Autonomous Vehicles for Intercity Travel

The autonomous vehicles are about to become a reality. The researchers estimate the benefits from each autonomous vehicle to be between $2000 and $4500 per vehicles. The societal benefits include higher travel time savings, reduced congestion, fuel consumption, lower rate of traffic accidents. However, as with any disruptive technology, autonomous vehicles bring a number of difficult challenges, such as the need to prepare the transportation system for the new technology. Research by T-SET professor Erick Guerra shows that planning organizations and local governments – those who plan for large scale investment into the existing infrastructure in the United States – are struggling account for the introduction of new intercity transportation technology, such as autonomous vehicles, in their plans. This is particularly true for the planning of intercity transportation, as the planning for intercity transportation is done in a fragmented, modally siloed way. Thus, the potential impact of driverless vehicles on the structure of the intercity transportation system is therefore unknown, yet positioned to be significant. One of the primary objectives of this study was to create a model of traveler behavior for intercity travel that takes the information about personal attitudes and norms into account. A large body of literature show that such models should include socio-demographic variables, such as age, gender and income, as well as personal attitudes towards travel and life, such as feeling of dependence on cars, concerns about safety and flexibility of schedules. The researchers use the general framework of the Theory of Planned Behavior (TPB) to account for these variables. The main idea behind this theory is that the behavior can be explained by the personal intentions, which in turn can be explained by a set of attitudes, subjective norms and behavioral controls. By studying the attitudes, norms and controls, accurate models of intentions and future behavior can be created. The main research problem of this study is to analyze the factors that influence the propensity to use autonomous vehicles in the future. The study aims at incorporating the information about personal attitudes into the model of future travel behavior. This is one of the first studies that applies TPB to modelling the intercity travel behavior.


    • English


    • Status: Completed
    • Sponsor Organizations:

      Carnegie Mellon University

      Pittsburgh, PA  United States 

      Office of the Assistant Secretary for Research and Technology

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

      Ehrlichman, Courtney

    • Start Date: 20160101
    • Expected Completion Date: 0
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01595870
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Files: UTC, RiP
    • Created Date: Apr 8 2016 2:28PM