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Dynamic associations between temporal behavior changes caused by the COVID-19 pandemic and subjective assessments of policymaking: A case study in Japan

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  • Ding, Hongxiang
  • Zhang, Junyi

Abstract

To design effective policies against COVID-19, there is a need for more evidence-based research. However, associations between actual policies and temporal behavior changes have remained underexplored. To fill this important research gap, a nationwide retrospective life-oriented panel survey on individuals' behavior changes from April to September 2020 was implemented in Japan. Reliability of information sources, risk perceptions, and attitudes toward policymaking were also investigated. Valid data were collected from 2643 respondents residing in different parts of the country. Risks were reported about general infections and public transport use. Attitudes toward policymaking were mainly about policymaking capacity and PASS-LASTING based policy measures. A dynamic structural equation model (DSEM) was developed to quantify dynamic associations between individuals’ behavior changes over time and subjective assessments (i.e., attitudes) of policymaking. Survey results revealed that behavior changes are mostly characterized by avoidance behaviors. Modeling estimation results showed a statistically-significant sequential cause-effect relationship between accumulated behavior changes in the past, subjective factors, and the most recent behavior changes. The most recent behavior changes are mostly affected by accumulated behavior changes in the past. Effects of subjective assessments of policymaking on the most recent behavior changes are significant but moderate. Among attitudes toward policymaking, attitudes toward policymaking capacity are more influential than willingness to follow PASS-LASTING based policy measures. High risks of using public transport are found to significantly influence the most recent behavior changes, together with other risk perception factors. Insights into effective COVID-19 policymaking are summarized.

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  • Ding, Hongxiang & Zhang, Junyi, 2021. "Dynamic associations between temporal behavior changes caused by the COVID-19 pandemic and subjective assessments of policymaking: A case study in Japan," Transport Policy, Elsevier, vol. 110(C), pages 58-70.
    • Handle: RePEc:eee:trapol:v:110:y:2021:i:c:p:58-70
    DOI: 10.1016/j.tranpol.2021.05.014
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    1. Smith, Richard D., 2006. "Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management," Social Science & Medicine, Elsevier, vol. 63(12), pages 3113-3123, December.
    2. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    3. Adrian Bangerter & Franciska Krings & Audrey Mouton & Ingrid Gilles & Eva G T Green & Alain Clémence, 2012. "Longitudinal Investigation of Public Trust in Institutions Relative to the 2009 H1N1 Pandemic in Switzerland," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    4. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    5. Zhang, Junyi, 2020. "Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach," Transport Policy, Elsevier, vol. 99(C), pages 405-418.
    6. Michael Siegrist & Timothy C. Earle & Heinz Gutscher, 2003. "Test of a Trust and Confidence Model in the Applied Context of Electromagnetic Field (EMF) Risks," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 705-716, August.
    7. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2013. "Perceived service quality in bus transit service: A structural equation approach," Transport Policy, Elsevier, vol. 29(C), pages 219-226.
    8. Junyi Zhang, 2021. "People’s responses to the COVID-19 pandemic during its early stages and factors affecting those responses," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-13, December.
    9. Jonas De Vos & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2013. "Travel and Subjective Well-Being: A Focus on Findings, Methods and Future Research Needs," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 421-442, July.
    10. Hideki Toya & Mark Skidmore, 2014. "Do Natural Disasters Enhance Societal Trust?," Kyklos, Wiley Blackwell, vol. 67(2), pages 255-279, May.
    11. Bernadette Hyland-Wood & John Gardner & Julie Leask & Ullrich K. H. Ecker, 2021. "Toward effective government communication strategies in the era of COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    12. Zhang, Junyi, 2014. "Revisiting residential self-selection issues: A life-oriented approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 29-45.
    13. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    Full references (including those not matched with items on IDEAS)

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    2. Rothengatter, Werner & Zhang, Junyi & Hayashi, Yoshitsugu & Nosach, Anastasiia & Wang, Kun & Oum, Tae Hoon, 2021. "Pandemic waves and the time after Covid-19 – Consequences for the transport sector," Transport Policy, Elsevier, vol. 110(C), pages 225-237.
    3. Farha, Farzana Faiza & Shanto, Farabi Sarker & Khan, Fyrooz Anika & Mehrin, Maria & Khan, Asif & Tabassum, Nawshin & Nakshi, Paromita, 2024. "Exploring the changes in travel behavior between the first and second waves of the COVID-19 pandemic in Dhaka," Transport Policy, Elsevier, vol. 151(C), pages 24-35.
    4. Zhang, Junyi & Hayashi, Yoshitsugu, 2022. "Research frontier of COVID-19 and passenger transport: A focus on policymaking," Transport Policy, Elsevier, vol. 119(C), pages 78-88.

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