This study examined commuters' mode choice behavior during the COVID-19 pandemic, focusing on the impact of both tangibles and intangibles factors. To do so, the authors developed a Hybrid Choice Model (HCM) which investigated the effects of sociodemographic characteristics, travel attributes, and intangible factors such as satisfaction, safety, and discomfort, on travel behavior. The model was tested using Stated Preference data collected from commuters in Dalian City (China) via wenjuanxing, an online survey platform. The results indicate that individual characteristics played a significant role in shaping people's perceptions and mode choice behavior was influenced by sociodemographic factors, travel characteristics, and the aforementioned intangible factors. More specifically, individuals, who perceived a higher level of safety, measured in terms of worries about robbery, accidents, and pandemic concerns, were less likely to choose cars. People with a stronger perception of discomfort favored metro over bus. Private car users reported higher satisfaction. The findings will be useful to policymakers for establishing more resilient transport solutions.


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    Titel :

    Investigating work commuters mode choice behavior in Dalian city during pandemic: a hybrid choice model approach


    Weitere Titelangaben:

    TRANSPORTATION PLANNING AND TECHNOLOGY
    K. BHATTARAI ET AL.


    Beteiligte:
    Bhattarai, Krishna (Autor:in) / Zhao, Shengchuan (Autor:in) / Bachir Diop, EI (Autor:in) / Zhang, Dong (Autor:in) / Joshi, Manmohan (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    04.07.2025


    Format / Umfang :

    23 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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