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Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach

Non-commuting travel is essential for people to meet daily demands and regulate mental health, which is greatly disrupted due to the COVID-19 pandemic. To explore non-commuting intentions during COVID-19 across different groups of residents, this paper uses online survey data in Nanjing and construc...

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Detalles Bibliográficos
Autores principales: Ma, Xinwei, Zhang, Shuai, Zhu, Minqing, Wu, Tao, He, Mingjia, Cui, Hongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140732/
https://www.ncbi.nlm.nih.gov/pubmed/37132012
http://dx.doi.org/10.1016/j.cities.2023.104341
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author Ma, Xinwei
Zhang, Shuai
Zhu, Minqing
Wu, Tao
He, Mingjia
Cui, Hongjun
author_facet Ma, Xinwei
Zhang, Shuai
Zhu, Minqing
Wu, Tao
He, Mingjia
Cui, Hongjun
author_sort Ma, Xinwei
collection PubMed
description Non-commuting travel is essential for people to meet daily demands and regulate mental health, which is greatly disrupted due to the COVID-19 pandemic. To explore non-commuting intentions during COVID-19 across different groups of residents, this paper uses online survey data in Nanjing and constructs a hybrid latent class choice model that combines sociodemographic characteristics and psychological factors. Results showed that the respondents can be divided into two groups: the “cautious” group versus the “fearless” group. The “cautious” group with lower willingness to travel tend to be older, higher-income, higher-educated, female and full-time employees. Furthermore, the “cautious” group with higher perceived susceptibility is more obedient to government policies. In contrast, the “fearless” group is significantly affected by perceived severity and is more inclined to turn to personal protection against the pandemic. These results suggested that non-commuting trips were influenced not only by individual characteristics but also by psychological factors. Finally, the paper provides implications for the government to formulate COVID-19 management measures for the heterogeneity of different groups.
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spelling pubmed-101407322023-04-28 Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach Ma, Xinwei Zhang, Shuai Zhu, Minqing Wu, Tao He, Mingjia Cui, Hongjun Cities Article Non-commuting travel is essential for people to meet daily demands and regulate mental health, which is greatly disrupted due to the COVID-19 pandemic. To explore non-commuting intentions during COVID-19 across different groups of residents, this paper uses online survey data in Nanjing and constructs a hybrid latent class choice model that combines sociodemographic characteristics and psychological factors. Results showed that the respondents can be divided into two groups: the “cautious” group versus the “fearless” group. The “cautious” group with lower willingness to travel tend to be older, higher-income, higher-educated, female and full-time employees. Furthermore, the “cautious” group with higher perceived susceptibility is more obedient to government policies. In contrast, the “fearless” group is significantly affected by perceived severity and is more inclined to turn to personal protection against the pandemic. These results suggested that non-commuting trips were influenced not only by individual characteristics but also by psychological factors. Finally, the paper provides implications for the government to formulate COVID-19 management measures for the heterogeneity of different groups. Elsevier Ltd. 2023-06 2023-04-24 /pmc/articles/PMC10140732/ /pubmed/37132012 http://dx.doi.org/10.1016/j.cities.2023.104341 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ma, Xinwei
Zhang, Shuai
Zhu, Minqing
Wu, Tao
He, Mingjia
Cui, Hongjun
Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title_full Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title_fullStr Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title_full_unstemmed Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title_short Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach
title_sort non-commuting intentions during covid-19 in nanjing, china: a hybrid latent class modeling approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140732/
https://www.ncbi.nlm.nih.gov/pubmed/37132012
http://dx.doi.org/10.1016/j.cities.2023.104341
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