Acceptance is often claimed to be the crucial factor for autonomous vehicle success. In this study, we examine the factors that influence the acceptance of autonomous transit feeders using a hybrid choice mode|. Our research is based on data from a Germany-wide online survey with more than 1,000 respondents. The influence of gender, travel behavior, individual availability of mobility tools, such as car ownership or transit pass, and previous knowledge coincides with findings from previous studies. Further, we are able to explain a large part of the unexplained heterogeneity compared to a “base” ordered probit model with the latent variables “simplification” through autonomous minibuses and “pro-transit-attitude”. This indicates the relevance of considering attitudes in future research on the acceptance of autonomous vehicles in order to arrive at correct interpretation and to reduce the heterogeneity in predicting models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Examining the Acceptance for Autonomous Transit Feeders Using a Hybrid Choice Model


    Contributors:


    Publication date :

    2020-11-03


    Size :

    243297 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders

    Masoud, Neda / Nam, Daisik / Yu, Jiangbo et al. | Transportation Research Record | 2017



    Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders

    R. Jayakrishnan / N. Masoud / Y. Jiangbo et al. | NTIS | 2016