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Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area

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  • Loa, Patrick
  • Hossain, Sanjana
  • Mashrur, Sk. Md.
  • Liu, Yicong
  • Wang, Kaili
  • Ong, Felita
  • Habib, Khandker Nurul

Abstract

The ongoing COVID-19 pandemic has drastically altered daily life in cities across the world. To slow the spread of COVID-19, many countries have introduced mobility restrictions, ordered the temporary closure of businesses, and encouraged social distancing. These policies have directly and indirectly influenced travel behaviour, particularly modal preferences. The purpose of this paper to explore modality profiles for non-mandatory trips and analyze how they have changed in response to the pandemic and pandemic-related public health policies. The data used for this study were collected from web-based surveys conducted in the Greater Toronto Area. Modality profiles were identified through the application of latent class cluster analysis, with six modality profiles being identified for both the pre-pandemic and pandemic periods. The results indicate that the importance of public transit has declined during the pandemic, while the roles of private vehicles and active modes have become more prominent. However, individuals’ changes in modal preferences vary based on their pre-pandemic modality profile. In particular, it appears that pre-pandemic transit users with access to a private vehicle have substituted public transit for travel by private vehicle, while those without private vehicle access are continuing to use public transit for non-mandatory trips. Consequently, pandemic-related transportation policies should consider those who do not have access to a private vehicle and aim to help those making non-mandatory trips using transit or active modes comply with local public health guidelines while travelling. The results highlight how the changes in modal preferences that occurred due to the pandemic differ among different segments of the population.

Suggested Citation

  • Loa, Patrick & Hossain, Sanjana & Mashrur, Sk. Md. & Liu, Yicong & Wang, Kaili & Ong, Felita & Habib, Khandker Nurul, 2021. "Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area," Transport Policy, Elsevier, vol. 110(C), pages 71-85.
    • Handle: RePEc:eee:trapol:v:110:y:2021:i:c:p:71-85
    DOI: 10.1016/j.tranpol.2021.05.028
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    as
    1. 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.
    2. World Bank, 2020. "The COVID-19 Pandemic [Pandémie De Covid-19]," World Bank Publications - Reports 33696, The World Bank Group.
    3. 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.
    4. 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.
    5. Zhu, Jing & Fan, Yingling, 2018. "Daily travel behavior and emotional well-being: Effects of trip mode, duration, purpose, and companionship," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 360-373.
    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. Oum, Tae Hoon & Wang, Kun, 2020. "Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19," Transport Policy, Elsevier, vol. 96(C), pages 94-100.
    8. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    9. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    10. 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.
    11. World Bank, 2020. "Remote Learning and COVID-19," World Bank Publications - Reports 33479, The World Bank Group.
    12. Timo Ohnmacht & Konrad Götz & Helmut Schad, 2009. "Leisure mobility styles in Swiss conurbations: construction and empirical analysis," Transportation, Springer, vol. 36(2), pages 243-265, March.
    13. Kuo-Ying Wang, 2014. "How Change of Public Transportation Usage Reveals Fear of the SARS Virus in a City," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    14. Cynthia Chen & Patricia Mokhtarian, 2006. "Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Transportation, Springer, vol. 33(3), pages 223-240, May.
    15. de Haas, M.C. & Scheepers, C.E. & Harms, L.W.J. & Kroesen, M., 2018. "Travel pattern transitions: Applying latent transition analysis within the mobility biographies framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 140-151.
    16. Vickerman, Roger, 2021. "Will Covid-19 put the public back in public transport? A UK perspective," Transport Policy, Elsevier, vol. 103(C), pages 95-102.
    17. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2018. "On complexity and variability of individuals’ discretionary activities," Transportation, Springer, vol. 45(1), pages 177-204, January.
    18. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
    Full references (including those not matched with items on IDEAS)

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    7. Loa, Patrick & Hossain, Sanjana & Liu, Yicong & Nurul Habib, Khandker, 2022. "How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 46-62.

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