4.1 Article

Choice behavior of commuters' rail transit mode during the COVID-19 pandemic based on logistic model

出版社

KEAI PUBLISHING LTD
DOI: 10.1016/j.jtte.2020.07.002

关键词

Traffic engineering; Commuters; Rail transit; Questionnaire; Influencing factors; Logistic regression model

资金

  1. National Natural Science Foundation of China [71861023]
  2. Foundation of A Hundred Youth Talents Training Program of Lanzhou Jiaotong University

向作者/读者索取更多资源

This study utilized a logistic regression model to investigate the factors influencing commuters' choice of rail transit during the COVID-19 pandemic, including personal attributes, travel attributes, and perceptions of COVID-19. The results indicate that self-employed individuals, commuters who previously used non-public transport, and those with longer walking distances to the nearest subway station are less likely to commute by rail transit during the pandemic. Additionally, commuters who perceive a higher risk of infection in public transport are also less likely to choose rail transit.
To understand whether commuters will take rail transit during the COVID-19 pandemic, a logistic regression model was constructed from three aspects of personal attributes, travel attributes and perception of COVID-19 based on 559 valid questionnaires. The results show that: occupation, commuting tools before the COVID-19 pandemic, walking time from residence to the nearest subway station, the possibility of being infected in private car and the possibility of being infected in public transport have significant influence on the commuters' choice of rail transit. Self-employed people and freelancers, commuters who used non-public transport before the COVID-19 pandemic, and commuters who take longer to walk from their residences to the nearest subway station are less likely to commute by rail transit during the COVID-19 pandemic. Commuters who think that the risk of being infected with the virus in public transport is higher have a lower probability of choosing rail transit. The confidence in bus/subway/taxi/taxi-hailing of commuters who do not choose to commute by rail transit during the COVID-19 pandemic is not high. The study of this paper can provide reference for the formulation of urban rail transit control measures during the COVID-19 pandemic, so as to formulate more perfect measures to ensure the safety of the returning workers. (C) 2020 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.

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