ArticleSustainable cities and society2022
Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model.
Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Modeling the Impacts of Governmental and Human Responses on COVID-19 Spread Using Statistical Machine Learning.International journal of digital earth · 2024Article
- Interaction between travel restriction policies and the spread of COVID-19.Transport policy · 2023Article
- The relationship between subjective well-being and individual characteristics, personality traits, and choice of transport mode during the first lock-down in Milan, Italy.Journal of transport & health · 2023Article
- Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China.International journal of environmental research and public health · 2023Article
- Did the COVID-19 vaccine rollout impact transportation demand? A case study in New York City.Journal of transport & health · 2023Article
- Impact of perceptions and attitudes on air travel choices in the post-COVID-19 era: A cross-national analysis of stated preference data.Travel behaviour & society · 2023Article
- The relation between barrier-free environment perception and campus commuting satisfaction.Frontiers in public health · 2023Article
- Travel satisfaction and travel well-being: Which is more related to travel choice behaviour in the post COVID-19 pandemic? Evidence from public transport travellers in Xi'an, China.Transportation research. Part A, Policy and practice · 2022Article
- The impact of the COVID-19 pandemic on the behaviour of bike sharing users.Sustainable cities and society · 2022Article
- ANN-Based traffic volume prediction models in response to COVID-19 imposed measures.Sustainable cities and society · 2022Article
- Assessing the impact of mobility on the incidence of COVID-19 in Dublin City.Sustainable cities and society · 2022Article
- On male urination and related environmental disease transmission in restrooms: From the perspectives of fluid dynamics.Sustainable cities and society · 2022Article
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Authors and funding
3 authors.
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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.
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