ADAS and autonomous driving are booming. As technologies continue to innovate and mature, whether travelers understand, accept, and buy them will directly impact the technological development, popularization, and profitability of these products. This study analyzes the influence of urban residents’ personal, family, and commuting characteristics on their willingness to choose and pay for ADAS and autonomous driving functions. Using the questionnaire survey data for Jiading and Meishan in China, Logit models are established for willingness to choose, and linear regression models are established for willingness to pay. Although Jiading and Meishan are similar in terms of city size and population, there are some differences in the influencing factors for willingness to choose and pay because of the differences in industrial structure, city culture, and residents’ commuting habits. The results show that significant influencing factors vary for different levels of ADAS and autonomous driving functions. The findings of this research can provide a reference for city authorities, designers, and sellers of ADAS products or autonomous vehicles to identify potential buyers and promote related products.


    Access

    Download


    Export, share and cite



    Title :

    Urban Residents’ Willingness to Choose and Pay for ADAS and Autonomous Driving Functions: Comparison of Two Cities in China


    Contributors:
    Fang-Kai Wang (author) / Ze-Hao Jiang (author) / Yi-Jia Dong (author) / Yue Ma (author)


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    ADAS in Autonomous Driving

    Ng, Tian Seng | Springer Verlag | 2021


    Semantic occupancy grid management in ADAS/autonomous driving

    NAGORI SOYEB NOORMOHAMMED / PODDAR DEEPAK / GARUD HRUSHIKESH TUKARAM | European Patent Office | 2024

    Free access


    Semantic Occupancy Grid Management in ADAS/Autonomous Driving

    NAGORI SOYEB NOORMOHAMMED / PODDAR DEEPAK / GARUD HRUSHIKESH TUKARAM | European Patent Office | 2023

    Free access

    Iran More cities choose urban rail

    British Library Online Contents | 2004