2022
Chen, Chao; Feng, Tao; Gu, Xiaoning
Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model Journal Article
In: Sustainable Cities and Society, vol. 78, 2022, ISSN: 2210-6707.
Abstract | Links | BibTeX | Tags: COVID-19 pandemic, Latent factors, Public transport
@article{40c9feae3bd0408b805b8e9538654c6e,
title = {Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model},
author = {Chao Chen and Tao Feng and Xiaoning Gu},
url = {https://www.sciencedirect.com/science/article/pii/S2210670721008660},
doi = {10.1016/j.scs.2021.103601},
issn = {2210-6707},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
journal = {Sustainable Cities and Society},
volume = {78},
publisher = {Elsevier},
abstract = {Policy measures to control the spread of COVID-19 imposed by different countries have a devastating impact on people's travel behaviors. Differing from the normal situation where general concerns on travel time and cost determine the travel choices, the uncertainty underlying behavior change in the case of a pandemic might be largely attributed to the latent aspects, i.e., social responsibility, risk perception, attitudes, which could diminish the effects of main attributes on travel decisions. Therefore, this paper examines the effects of COVID-19 related policies on individuals' travel choices influenced by the latent aspects. A stated choice experiment was designed to collect people's responses under policy measures to various transportation modes. Results of a hybrid choice model show that COVID-19 related policies significantly affect individuals' transportation mode choice decisions during pandemic situations. The attributes, like travel time and travel cost, which significantly impact travel behavior in normal situations, become less relevant. Moreover, the travel preferences during the pandemic are significantly associated with latent factors of social responsibility, fear of infection, perceived risk, and travel anxiety. In general, public transportation is identified as an insecure alternative compared with other private modes, and people who are more socially responsible tend to travel less during the pandemic. Outcomes of this study could be of value to policymakers and public health emergencies, e.g., government authorities to utilize such knowledge in providing social support for these COVID-19 countermeasures and designing customized policies for specific population groups.},
keywords = {COVID-19 pandemic, Latent factors, Public transport},
pubstate = {published},
tppubtype = {article}
}
Policy measures to control the spread of COVID-19 imposed by different countries have a devastating impact on people’s travel behaviors. Differing from the normal situation where general concerns on travel time and cost determine the travel choices, the uncertainty underlying behavior change in the case of a pandemic might be largely attributed to the latent aspects, i.e., social responsibility, risk perception, attitudes, which could diminish the effects of main attributes on travel decisions. Therefore, this paper examines the effects of COVID-19 related policies on individuals’ travel choices influenced by the latent aspects. A stated choice experiment was designed to collect people’s responses under policy measures to various transportation modes. Results of a hybrid choice model show that COVID-19 related policies significantly affect individuals’ transportation mode choice decisions during pandemic situations. The attributes, like travel time and travel cost, which significantly impact travel behavior in normal situations, become less relevant. Moreover, the travel preferences during the pandemic are significantly associated with latent factors of social responsibility, fear of infection, perceived risk, and travel anxiety. In general, public transportation is identified as an insecure alternative compared with other private modes, and people who are more socially responsible tend to travel less during the pandemic. Outcomes of this study could be of value to policymakers and public health emergencies, e.g., government authorities to utilize such knowledge in providing social support for these COVID-19 countermeasures and designing customized policies for specific population groups.