Long-term impacts of COVID-19 pandemic on travel behaviour.

Bh Aaditya, T M Rahul
Author Information
  1. Bh Aaditya: Department of Civil Engineering, Indian Institute of Technology Ropar, Nangal Road, Rupnagar, Punjab 140001, India.
  2. T M Rahul: Department of Civil Engineering, Indian Institute of Technology Ropar, Nangal Road, Rupnagar, Punjab 140001, India.

Abstract

The need to understand the influence of the COVID-19 pandemic on the long-term travel behaviour of people has never been higher as a consequence of the second wave of pandemic. In this context, the current study aims to understand the willingness of people to use sustainable modes of transportation including shared modes of transport, and non-motorized transport, against non- shared modes of transport such as personal 2-wheelers and 4-wheelers in a post-vaccinated scenario. The study further models the willingness to choose public transportation under various COVID-19 preventive measures representing the perception of safety among people. An Integrated Choice and Latent Variable (ICLV) framework a employed in the modelling. The fear of contracting COVID-19 and the belief in remedial measures significantly influenced the mode choice of individuals. This highlighted a significant long-term impact of the pandemic on the travel behaviour of individuals. The study concludes by presenting different strategies that could be adopted to make the existing sustainable modes safer, and hence, more attractive.

References

  1. Nat Med. 2021 Aug;27(8):1338-1339 [PMID: 34272500]
  2. Cogn Behav Therap. 2020 Jun 11;13:e19 [PMID: 34191938]
  3. Am J Prev Med. 2020 Oct;59(4):493-503 [PMID: 32778354]
  4. Sustain Cities Soc. 2022 Jan;76:103524 [PMID: 34751239]
  5. Int J Environ Res Public Health. 2019 Dec 30;17(1): [PMID: 31905948]
  6. J Transp Geogr. 2020 Oct;88:102846 [PMID: 32904879]
  7. Comput Human Behav. 2022 Aug;133:107295 [PMID: 35431427]
  8. Vacunas. 2022 May;23:S46-S55 [PMID: 35125985]
  9. J Anxiety Disord. 2021 Oct;83:102454 [PMID: 34298237]
  10. PLoS One. 2018 May 2;13(5):e0196600 [PMID: 29718958]
  11. PLoS One. 2021 Apr 22;16(4):e0250461 [PMID: 33886655]
  12. Sci Rep. 2021 May 24;11(1):10795 [PMID: 34031469]
  13. Sustain Cities Soc. 2021 Nov;74:103182 [PMID: 34540566]
  14. Cogn Emot. 2020 Sep;34(6):1143-1159 [PMID: 32116122]
  15. Brain Behav Immun. 2021 Aug;96:1-4 [PMID: 34022371]
  16. QJM. 2020 Jun 22;: [PMID: 32569360]
  17. Inf Process Manag. 2021 Nov;58(6):102732 [PMID: 34511703]
  18. Comput Secur. 2022 Mar;114:102577 [PMID: 34934255]
  19. Community Ment Health J. 2021 Jan;57(1):42-48 [PMID: 32577997]
  20. Transp Policy (Oxf). 2021 Jul;108:47-58 [PMID: 36568480]
  21. Transp Res Interdiscip Perspect. 2020 May;5:100121 [PMID: 34171016]
  22. Brain Behav Immun Health. 2021 Dec;18:100375 [PMID: 34693366]
  23. Transp Policy (Oxf). 2021 Mar;103:68-85 [PMID: 33519127]

Word Cloud

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