COVID-19 has caused substantial negative impacts on transportation. In order to analyze the impact of residents’ choice of public transport mode during the post epidemic period, this paper uses the two binary logit model to calibrate the model parameters with SPSS software to study the impact of residents’ attributes, travel attributes, and risk perception attributes on the residents’ travel behavior. The research results show that: residents analyze public health emergencies according to their education level and make decisions based on their comprehensive family income level, the higher the income level, the more willing to travel by rail transit; With the increase in travel frequency, residents are more inclined to travel by bus, while with the increase of travel time, residents will be more inclined to travel by rail transit; The risk level of the epidemic has no significant impact on residents’ public transport travel, while residents’ understanding of the epidemic and travel susceptibility have a significant impact on public transport travel.


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    Titel :

    Research on Residents’ Choice Behavior of Public Transport Travel Mode During the Post-epidemic Period


    Weitere Titelangaben:

    Lecture Notes in Operations res.


    Beteiligte:
    Guo, Hongling (Herausgeber:in) / Fang, Dongping (Herausgeber:in) / Lu, Weisheng (Herausgeber:in) / Peng, Yi (Herausgeber:in) / Tang, Lian (Autor:in) / Jiao, Liudan (Autor:in) / Huo, Xiaosen (Autor:in) / Zhang, Yu (Autor:in)

    Kongress:

    International Symposium on Advancement of Construction Management and Real Estate ; 2021 ; Beijing, China November 20, 2021 - November 22, 2021



    Erscheinungsdatum :

    2022-09-02


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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