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

Lian Tang (), Liudan Jiao, Xiaosen Huo and Yu Zhang
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Lian Tang: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University
Xiaosen Huo: Chongqing Jiaotong University
Yu Zhang: Chongqing Jiaotong University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 929-942 from Springer

Abstract: Abstract 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.

Keywords: Post-epidemic period; Public transport; Travel mode; Binary logit model (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_73

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DOI: 10.1007/978-981-19-5256-2_73

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