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Effects of COVID-19 on Travel Behavior and Mode Choice: A Case Study for the Bangkok Metropolitan Area

Author

Listed:
  • Hamza Zubair

    (Department of Transportation Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand)

  • Ampol Karoonsoontawong

    (Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand)

  • Kunnawee Kanitpong

    (Department of Transportation Engineering, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand)

Abstract

This research compared the primary purpose of travelling, mode choice, factors affecting mode choice, and frequency of working from home before and during the COVID-19 pandemic in Bangkok, Thailand using statistical tests and multinomial regression modelling. The Thailand Government applied various restrictions such as limited gathering, mandatory face masks, and closure of institutes to control the pandemic’s spread. The study results show a significant difference in the purpose of primary trips, distance travelled, travel time, number of primary trips, and mode chosen for the primary trips before and during the pandemic. People shifted from working to shopping trips, public to private transport or active modes, and in-person/office work to online working during COVID-19. Male respondents showed higher chances of using public transport than female respondents and gave higher preference to pandemic-related factors for the mode selection during the pandemic. The Government should take actions based on COVID-19 measures such as mandatory face masks, contactless tickets, and sanitization disinfectant booths on every transit station to promote public transport usage. People shifted from public to active modes during the pandemic. There is a need for the improvements of the walkways and footpaths to attract people to use active modes in the future.

Suggested Citation

  • Hamza Zubair & Ampol Karoonsoontawong & Kunnawee Kanitpong, 2022. "Effects of COVID-19 on Travel Behavior and Mode Choice: A Case Study for the Bangkok Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9326-:d:875439
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    References listed on IDEAS

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    1. Quinn McNemar, 1947. "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, Springer;The Psychometric Society, vol. 12(2), pages 153-157, June.
    2. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    3. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    4. Bernard Rosner & Robert J. Glynn & Mei-Ling T. Lee, 2006. "The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data," Biometrics, The International Biometric Society, vol. 62(1), pages 185-192, March.
    5. Pedro S Peixoto & Diego Marcondes & Cláudia Peixoto & Sérgio M Oliva, 2020. "Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-23, July.
    6. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    7. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
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    Cited by:

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