Autonomous vehicles can provide automatic cruise and parking services for travelers and the parking location is not limited by distance from the destination. Exploring key factors affecting commuters’ choice intention of autonomous parking, a questionnaire survey was conducted on commuters, including daily travel characteristics, willingness to park during autonomous driving, etc. A binomial logit model is used to establish a parking choice model for autonomous driving trips, and the commuters’ preference for parking choices was studied. Results show that most commuters will choose to park at the workplace or at an external parking facility within 10 km of the workplace. The total parking cost of autonomous driving and the distance between parking facilities and the workplace have a significant impact on commuters’ choice of parking location. This research can provide a theoretical reference for the construction of parking facilities and urban land policies in the future autonomous driving environment.


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    Titel :

    Parking Choice Intention Analysis of Autonomous Driving Travel


    Beteiligte:
    Qih, Huanmei (Autor:in) / Sun, Mengli (Autor:in) / Dun, Yingying (Autor:in) / Yu, Binhai (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 1801-1811


    Erscheinungsdatum :

    2022-09-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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