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Article: A people-environment framework in evaluating transport stress among rail commuters

TitleA people-environment framework in evaluating transport stress among rail commuters
Authors
KeywordsCommute
Perceived transport stress
Public transport
Rail
Stressors
Issue Date24-Jul-2023
PublisherElsevier
Citation
Transportation Research Part D: Transport and Environment, 2023, v. 121 How to Cite?
Abstract

Transport stress is a pervasive phenomenon in big cities, and can lead to various negative impacts on health and well-being. However, the associated stressors have not been clearly understood. This study proposes a people-environment framework, which incorporates personal stressors, environmental stressors, and travel impedance to capture the “total travel experience” of passengers. In the context of Hong Kong, an online questionnaire survey among Mass Transit Railway (MTR) passengers was conducted in 2021; a total of 629 responses were collected. A factor analysis and a multiple linear regression were conducted to examine the relationship between stressors and perceived transport stress. Apart from service unpredictability and crowding, poor station environment and uncomfortable train compartments are also major stressors. During the pandemic, the anxiety of being infected by COVID-19 is significantly associated with transport stress. The findings shed important light on alleviating transport stress through improving public transit environment by micro-management strategies.


Persistent Identifierhttp://hdl.handle.net/10722/337338
ISSN
2023 Impact Factor: 7.3
2023 SCImago Journal Rankings: 2.328
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTsoi, Ka Ho-
dc.contributor.authorLoo, Becky PY-
dc.date.accessioned2024-03-11T10:20:06Z-
dc.date.available2024-03-11T10:20:06Z-
dc.date.issued2023-07-24-
dc.identifier.citationTransportation Research Part D: Transport and Environment, 2023, v. 121-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/10722/337338-
dc.description.abstract<p>Transport stress is a pervasive phenomenon in big cities, and can lead to various negative impacts on health and well-being. However, the associated stressors have not been clearly understood. This study proposes a people-environment framework, which incorporates personal stressors, environmental stressors, and travel impedance to capture the “total travel experience” of passengers. In the context of Hong Kong, an online questionnaire survey among Mass Transit Railway (MTR) passengers was conducted in 2021; a total of 629 responses were collected. A factor analysis and a <a href="https://www.sciencedirect.com/topics/social-sciences/multiple-linear-regression" title="Learn more about multiple linear regression from ScienceDirect's AI-generated Topic Pages">multiple linear regression</a> were conducted to examine the relationship between stressors and perceived transport stress. Apart from service unpredictability and crowding, poor station environment and uncomfortable train compartments are also major stressors. During the pandemic, the anxiety of being infected by COVID-19 is significantly associated with transport stress. The findings shed important light on alleviating transport stress through improving <a href="https://www.sciencedirect.com/topics/social-sciences/public-transport" title="Learn more about public transit from ScienceDirect's AI-generated Topic Pages">public transit</a> environment by micro-management strategies.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofTransportation Research Part D: Transport and Environment-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCommute-
dc.subjectPerceived transport stress-
dc.subjectPublic transport-
dc.subjectRail-
dc.subjectStressors-
dc.titleA people-environment framework in evaluating transport stress among rail commuters-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.trd.2023.103833-
dc.identifier.scopuseid_2-s2.0-85164241199-
dc.identifier.volume121-
dc.identifier.eissn1879-2340-
dc.identifier.isiWOS:001040484900001-
dc.identifier.issnl1361-9209-

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