Highlights A ranked stated preference question is used to examine AV adoption. A joint model of ranked, nominal and continuous dependent variables is estimated. Mediated (through psycho-social variables) demographic effects are considered. Driving and mobility control are introduced in the mix of psycho-social variables.

    Abstract Understanding the “if” and “when” of autonomous vehicle (AV) adoption is of clear interest to car manufacturers in their positioning of business processes, but also to transportation planners and traffic engineers. In this paper, we examine the individual-level AV adoption and timing process, considering the psycho-social factors of driving control, mobility control, safety concerns, and tech-savviness. A ranked choice stated preference design is used to elicit responses from Austin area residents regarding AV adoption. Our results underscore the need to examine the adoption of technology through a psycho-social lens. In particular, technology developments and design should not be divorced from careful investigations of habits and consumption motivations of different groups of individuals in the population. The findings from our analysis are translated to specific policy actions to promote AV adoption and accelerate the adoption time frame.


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    Title :

    A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data


    Contributors:


    Publication date :

    2020-10-08




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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