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Impact of COVID-19: A radical modal shift from public to private transport mode

Author

Listed:
  • Das, Sanhita
  • Boruah, Alice
  • Banerjee, Arunabha
  • Raoniar, Rahul
  • Nama, Suresh
  • Maurya, Akhilesh Kumar

Abstract

The unprecedented shock triggered by the COVID-19 pandemic has caused significant impact on public transportation services, travel behavior and mode choice preferences. Increasing risk of virus contagion in shared travel modes might result in a systemic shift from public transport to car commute. Such a shift causes increased congestions, emissions with a burden on the existing infrastructure. Given the urgent need of reconsideration of transport in a post-COVID world, this study presents insights into the possible shift from public transport to car commute due to the coronavirus crisis, potential factors influencing the mode shift, with emphasis being also laid on suitable strategies for promoting public transport use in the future world. Based on an online questionnaire survey conducted in India, results of logistic regression model indicate that commuters' socio-economic characteristics such as age, gender and monthly income tend to significantly influence mode switch preferences. In addition, trip characteristics including travel time, overcrowding and hygiene are strongly associated with mode shift preferences from public transport to car use. Commuters' perceptions on several strategies for promoting public transport have also been assessed, which will indeed pave the way for the formulation of post-COVID transport policies. In essence, efforts need to be directed towards restoring users’ confidence and trust by providing a safe, secure and healthy environment to the public transport users.

Suggested Citation

  • Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
  • Handle: RePEc:eee:trapol:v:109:y:2021:i:c:p:1-11
    DOI: 10.1016/j.tranpol.2021.05.005
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    References listed on IDEAS

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    1. Efthymiou, Dimitrios & Antoniou, Constantinos, 2017. "Understanding the effects of economic crisis on public transport users’ satisfaction and demand," Transport Policy, Elsevier, vol. 53(C), pages 89-97.
    2. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    3. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    4. 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.
    5. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    6. Chakrabarti, Sandip, 2017. "How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles," Transport Policy, Elsevier, vol. 54(C), pages 80-89.
    7. Jian Chen & Shoujie Li, 2017. "Mode Choice Model for Public Transport with Categorized Latent Variables," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, August.
    8. Clark, Ben & Chatterjee, Kiron & Melia, Steve, 2016. "Changes to commute mode: The role of life events, spatial context and environmental attitude," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 89-105.
    9. Li, Zheng & Hensher, David A., 2011. "Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal," Transport Policy, Elsevier, vol. 18(6), pages 880-887, November.
    10. Basheer, Muhammad Aamir & van der Waerden, Peter & Kochan, Bruno & Bellemans, Tom & Raheel Shah, Syyed Adnan, 2019. "Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England," Transport Policy, Elsevier, vol. 81(C), pages 95-105.
    11. 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.
    12. Shaaban, Khaled & Kim, Inhi, 2016. "Assessment of the taxi service in Doha," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 223-235.
    13. Lai, Wen-Tai & Chen, Ching-Fu, 2011. "Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement," Transport Policy, Elsevier, vol. 18(2), pages 318-325, March.
    14. Liu, Yunxia & Hong, Zaisheng & Liu, Yong, 2016. "Do driving restriction policies effectively motivate commuters to use public transportation?," Energy Policy, Elsevier, vol. 90(C), pages 253-261.
    15. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    16. Giuliano, Genevieve & Dargay, Joyce, 2006. "Car ownership, travel and land use: a comparison of the US and Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 106-124, February.
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