Understanding travel mode choice through the lens of COVID-19: a systematic review of pandemic commuters

Reference

• Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation Research Interdisciplinary Perspectives, 8, 100255. https://doi.org/10.1016/j.trip.2020.100255
   PubMedGoogle Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Amin, S., & Adah, J. U. (2022). COVID-19 influence on commuters’ attitude towards riding public buses for essential trips. Cities (London, England), 131, 103890–103890. https://doi.org/10.1016/j.cities.2022.103890
   PubMed Web of Science ®Google Scholar
• Anable, J., & Gatersleben, B. (2005). All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes. Transportation Research Part A: Policy and Practice, 39(2), 163–181. https://doi.org/10.1016/j.tra.2004.09.008
   Web of Science ®Google Scholar
• Angell, C., & Potoglou, D. (2022). An insight into the impacts of COVID-19 on work-related travel behaviours in the Cardiff Capital Region and following the UK's first national lockdown. Cities, 124, Article 103602. doi:10.1016/j.cities.2022.103602
   Web of Science ®Google Scholar
• Anwari, N., Tawkir Ahmed, M., Rakibul Islam, M., Hadiuzzaman, M., & Amin, S. (2021). Exploring the travel behavior changes caused by the COVID-19 crisis: A case study for a developing country. Transportation Research Interdisciplinary Perspectives, 9, 100334. https://doi.org/10.1016/j.trip.2021.100334
   Google Scholar
• Assoumou Ella, G. (2021). Gender, mobility, and COVID-19: The case of Belgium. Feminist Economics, 27(1–2), 66–80. https://doi.org/10.1080/13545701.2020.1832240
   Web of Science ®Google Scholar
• Balbontin, C., Hensher, D. A., & Beck, M. J. (2022). Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia. Transportation Research Part E: Logistics and Transportation Review, 162, Article 102718. https://doi.org/10.1016/j.tre.2022.102718
   PubMed Web of Science ®Google Scholar
• Basu, R., & Ferreira, J. (2021). Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19. Transport Policy, 103, 197–210. https://doi.org/10.1016/j.tranpol.2021.01.006
   PubMed Web of Science ®Google Scholar
• Borkowski, P., Jażdżewska-Gutta, M., & Szmelter-Jarosz, A. (2021). Lockdowned: Everyday mobility changes in response to COVID-19. Journal of Transport Geography, 90. 102906.
   PubMed Web of Science ®Google Scholar
• Bouman, T., Steg, L., & Dietz, T. (2021). Insights from early COVID-19 responses about promoting sustainable action. Nature Sustainability, 4(3), 194–200. https://doi.org/10.1038/s41893-020-00626-x
   Web of Science ®Google Scholar
• Bria, M., Djakfar, L., & Wicaksono, A. (2021). Employee commuting in new normal: An analysis based on household characteristics and perception on health protocols. Journal of Southwest Jiaotong University, 56(6). doi:10.35741/issn.0258-2724.56.6.6
   Google Scholar
• Burnett, P. (1980). Spatial constraints-oriented modeling as an alternative approach to movement, microeconomic theory, and urban policy. Urban Geography, 1(1), 53–67. https://doi.org/10.2747/0272-3638.1.1.53
   Google Scholar
• Campisi, T., Basbas, S., Al-Rashid, A. M., Tesoriere, G., & Georgiadis, G. (2022). A region-wide survey on emotional and psychological impacts of COVID-19 on public transport choices in Sicily, Italy. Transactions on Transport Sciences, 12(3), 34–43. https://doi.org/10.5507/tots.2021.010
   Google Scholar
• Campisi, T., Tesoriere, G., Trouva, M., Papas, T., & Basbas, S. (2022). Impact of teleworking on travel behaviour during the COVID-19 era: The case of Sicily, Italy. Transportation Research Procedia, 60, 251–258.
   Google Scholar
• Caulfield, B., Browne, S., Mullin, M., Bowman, S., & Kelly, C. (2021). Re-open our city and campus post-Covid: A case study of Trinity College Dublin, the University of Dublin. Case Studies on Transport Policy, 9(2), 616–625. https://doi.org/10.1016/j.cstp.2021.02.016
   Web of Science ®Google Scholar
• Chen, C., Foo, C., & Zhao, H. (2021). Implications of the COVID-19 pandemic on UBC employee commuting. University of British Columbia.
   Google Scholar
• Cusack, M. (2021). Individual, social, and environmental factors associated with active transportation commuting during the COVID-19 pandemic. Journal of Transport & Health, 22, Article 101089. https://doi.org/10.1016/j.jth.2021.101089
   PubMed Web of Science ®Google Scholar
• Delnatte, C., Roze, E., Pouget, P., Galléa, C., & Welniarz, Q. (2023). Can neuroscience enlighten the philosophical debate about free will? Neuropsychologia, 188, 108632. https://doi.org/10.1016/j.neuropsychologia.2023.108632
   PubMed Web of Science ®Google Scholar
• De Vos, J. (2022). The shifting role of attitudes in travel behaviour research. Transport Reviews, 42(5), 573–579. https://doi.org/10.1080/01441647.2022.2078537
   Web of Science ®Google Scholar
• DeWeese, J., Ravensbergen, L., & El-Geneidy, A. (2022). Travel behaviour and greenhouse gas emissions during the COVID-19 pandemic: A case study in a university setting. Transportation Research Interdisciplinary Perspectives, 100531–100531. doi:10.1016/j.trip.2021.100531
   PubMedGoogle Scholar
• Dias, C., Abd Rahman, N., Abdullah, M., & Sukor, N. S. A. (2021). Influence of COVID-19 mobility-restricting policies on individual travel behavior in Malaysia. Sustainability, 13(24), Article 13960. https://doi.org/10.3390/su132413960
   Web of Science ®Google Scholar
• Donald, I. J., Cooper, S. R., & Conchie, S. M. (2014). An extended theory of planned behaviour model of the psychological factors affecting commuters’ transport mode use. Journal of Environmental Psychology, 40, 39–48. https://doi.org/10.1016/j.jenvp.2014.03.003
   Web of Science ®Google Scholar
• Dong, H., Ma, S., Jia, N., & Tian, J. (2021). Understanding public transport satisfaction in post COVID-19 pandemic. Transport Policy, 101, 81–88. https://doi.org/10.1016/j.tranpol.2020.12.004
   Web of Science ®Google Scholar
• Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers.
   Google Scholar
• Ettema, D., Gärling, T., Eriksson, L., Friman, M., Olsson, L. E., & Fujii, S. (2011). Satisfaction with travel and subjective well-being: Development and test of a measurement tool. Transportation Research Part F: Traffic Psychology and Behaviour, 14(3), 167–175. https://doi.org/10.1016/j.trf.2010.11.002
   Web of Science ®Google Scholar
• Fadaei, A. (2021). Ventilation systems and COVID-19 spread: Evidence from a systematic review study. European Journal of Sustainable Development Research, 5(2), em0158. https://doi.org/10.21601/ejosdr/10845
   Google Scholar
• Fang, G., Tang, T., Zhao, F., & Zhu, Y. (2023). The social scar of the pandemic: Impacts of COVID-19 exposure on interpersonal trust. Journal of Asian Economics, 86, 101609. https://doi.org/10.1016/j.asieco.2023.101609
   PubMed Web of Science ®Google Scholar
• Flyvbjerg, B. (2006). Five misunderstandings about case-study research. Qualitative Inquiry, 12(2), 219–245. https://doi.org/10.1177/1077800405284363
   Web of Science ®Google Scholar
• Frijda, N. H. (2017). The laws of emotion. Psychology Press.
   Google Scholar
• Friman, M., Olsson, L. E., Ståhl, M., Ettema, D., & Gärling, T. (2017). Travel and residual emotional well-being. Transportation Research Part F: Traffic Psychology and Behaviour, 49, 159–176. https://doi.org/10.1016/j.trf.2017.06.015
   Web of Science ®Google Scholar
• Garcia, M., Nakamura, F., Tanaka, S., Matsuyuki, M., & Ariyoshi, R. (2022). Public transport trends and environmentally sustainable transport acceptance during the COVID-19 pandemic in the Philippines. Journal of the Eastern Asia Society for Transportation Studies, 14, 90–107.
   Google Scholar
• Gardner, B., & Abraham, C. (2008). Psychological correlates of car use: A meta-analysis. Transportation Research Part F: Traffic Psychology and Behaviour, 11(4), 300–311. https://doi.org/10.1016/j.trf.2008.01.004
   Web of Science ®Google Scholar
• Harrington, D. M., & Hadjiconstantinou, M. (2022). Changes in commuting behaviours in response to the COVID-19 pandemic in the UK. Journal of Transport & Health, 24, 101313–101313. https://doi.org/10.1016/j.jth.2021.101313
   PubMedGoogle Scholar
• Heinen, E. (2023). The impact of crime and crime-related experiences, worries, and perceptions on travel behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 96, 265–284. https://doi.org/10.1016/j.trf.2023.06.014
   Web of Science ®Google Scholar
• Hensher, D. A., & Beck, M. J. (2022). Exploring how worthwhile the things that you do in life are during COVID-19. https://ssrn.com/abstract=4191513.
   Google Scholar
• Hiscock, R., Macintyre, S., Kearns, A., & Ellaway, A. (2002). Means of transport and ontological security: Do cars provide psycho-social benefits to their users? Transportation Research Part D: Transport and Environment, 7(2), 119–135. https://doi.org/10.1016/S1361-9209(01)00015-3
   Web of Science ®Google Scholar
• Infante-Vargas, D., & Boyer, K. (2022). Gender-based violence against women users of public transport in Saltillo, Coahuila, Mexico. Journal of Gender Studies, 31(2), 216–230. https://doi.org/10.1080/09589236.2021.1915753
   Web of Science ®Google Scholar
• Irawan, M. Z., Belgiawan, P. F., Joewono, T. B., Bastarianto, F. F., Rizki, M., & Ilahi, A. (2022). Exploring activity-travel behavior changes during the beginning of COVID-19 pandemic in Indonesia. Transportation (Amst), 49(2), 529–553.
   PubMed Web of Science ®Google Scholar
• Jamal, S., Chowdhury, S., & Newbold, K. B. (2022). Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka. Bangladesh. Case Studies on Transport Policy, 10(1), 406–416.
   PubMed Web of Science ®Google Scholar
• Javadinasr, M., Magassy, T. B., Rahimi, E., Mohammadi, M., Davatgari, A., Mohammadian, A., Chauhan, R. S., Bhagat-Conway, M. W., Pendyala, R. M., Salon, D., Derrible, S., & Khoeini, S. (2022). Observed and expected impacts of COVID-19 on travel behavior in the United States: A panel study analysis [Digital/other].
   Google Scholar
• Kamelifar, M J, Ranjbarnia, B, & Masoumi, H. (2022). The Determinants of Walking Behavior before and during COVID-19 in Middle-East and North Africa: Evidence from Tabriz. Iran. Sustainability, 14(7), 3923.
   Web of Science ®Google Scholar
• Kar, A., Le, H. T. K., & Miller, H. J. (2022). What Is essential travel? Socioeconomic differences in travel demand in Columbus, Ohio, during the COVID-19 lockdown. Annals of the American Association of Geographers, 112(4), 1023–1046.
   Web of Science ®Google Scholar
• Kim, J., & Kwan, M.-P. (2021). The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the US from March to September of 2020. Journal of Transport Geography, 93, Article 103039. doi:10.1016/j.jtrangeo.2021.103039
   PubMed Web of Science ®Google Scholar
• Kroesen, M., De Vos, J., Le, H. T. K., & Ton, D. (2023). Exploring attitude-behaviour dynamics during COVID-19: How fear of infection and working from home influence train use and the attitude toward this mode. Transportation Research Part A: Policy and Practice, 167, 103560. doi:10.1016/j.tra.2022.103560
   PubMed Web of Science ®Google Scholar
• Lee, W. D., Qian, M., & Schwanen, T. (2021). The association between socioeconomic status and mobility reductions in the early stage of England's COVID-19 epidemic. Health & Place, 69, 102563. https://doi.org/10.1016/j.healthplace.2021.102563
   PubMed Web of Science ®Google Scholar
• Li, L., Adamowicz, W., & Swait, J. (2015). The effect of choice set misspecification on welfare measures in random utility models. Resource and Energy Economics, 42, 71–92. https://doi.org/10.1016/j.reseneeco.2015.07.001
   Web of Science ®Google Scholar
• Liao, H. (2021). Analyzing the effects of COVID-19 on human mobility and transit ridership in the Pacific Northwest. Harvard Dataverse.
   Google Scholar
• Liberman, N., Trope, Y., & Stephan, E. (2007). Psychological distance. In A. W. Kruglanski & E. T. Higgins (Eds.), Social psychology: Handbook of basic principles (2nd ed., pp. 353–381). The Guilford Press.
   Google Scholar
• Libet, B., Gleason, C. A., Wright, E. W., & Pearl, D. K. (1983). Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential): The unconscious initiation of a freely voluntary act. Brain, 106(3), 623–642. https://doi.org/10.1093/brain/106.3.623
   PubMed Web of Science ®Google Scholar
• McGraw, A. P., Warren, C., Williams, L. E., & Leonard, B. (2012). Too close for comfort, or too far to care? Finding humor in distant tragedies and close mishaps. Psychological Science, 23(10), 1215–1223. https://doi.org/10.1177/0956797612443831
   PubMed Web of Science ®Google Scholar
• Mokhtarian, P., Ory, D., Redmond, L., Salomon, I., Collantes, G., & Choo, S. (2004). When is commuting desirable to the individual? Growth and Change, 35(3), 334–359. https://doi.org/10.1111/j.1468-2257.2004.00252.x
   Web of Science ®Google Scholar
• Morris, E. A., & Guerra, E. (2015). Mood and mode: Does how we travel affect how we feel? Transportation, 42(1), 25–43. https://doi.org/10.1007/s11116-014-9521-x
   Web of Science ®Google Scholar
• Navarrete-Hernandez, P., Rennert, L., & Balducci, A. (2023). An evaluation of the impact of COVID-19 safety measures in public transit spaces on riders’ Worry of virus contraction. Transport Policy, 131, 1–12. https://doi.org/10.1016/j.tranpol.2022.11.011
   PubMed Web of Science ®Google Scholar
• Olde Kalter, M. J., Geurs, K. T., Wismans, L. (2021). Post COVID-19 teleworking and car use intentions. Evidence from large scale GPS-tracking and survey data in the Netherlands. Transp Res Interdiscip Perspect, 12, 100498.
   PubMedGoogle Scholar
• Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160.
   PubMed Web of Science ®Google Scholar
• Phandanouvong, S., Shah, S. M. T., Rith, M., & Piantanakulchai, M. (2021). Travel behavior of commuters in asean countries with the least confirmed covid-19 cases during the global pandemic- A case study of Cambodia and Laos. ASEAN Engineering Journal, 11(3), 140–157.
   Google Scholar
• Plyushteva, A. (2022). Essential workers’ pandemic mobilities and the changing meanings of the commute. The Geographical Journal, 188(3), 459–463. https://doi.org/10.1111/geoj.12447
   Web of Science ®Google Scholar
• Przybylowski, A., Stelmak, S., & Suchanek, M. (2021). Mobility behaviour in view of the impact of the COVID-19 pandemic—public transport users in Gdansk case study. Sustainability, 13(364).
   Google Scholar
• Rahimi, E., Shamshiripour, A., Shabanpour, R., Mohammadian, A., & Auld, J. (2019). Analysis of transit users’ waiting tolerance in response to unplanned service disruptions. Transportation Research Part D: Transport and Environment, 77, 639–653. https://doi.org/10.1016/j.trd.2019.10.011
   Web of Science ®Google Scholar
• Rothengatter, W., Zhang, J., Hayashi, Y., Nosach, A., Wang, K., & Oum, T. H. (2021). Pandemic waves and the time after Covid-19 – Consequences for the transport sector. Transport Policy, 110, 225–237. https://doi.org/10.1016/j.tranpol.2021.06.003
   PubMed Web of Science ®Google Scholar
• Sannasi, L., Ahmed, B. A. B., & Siva, P. D. V. (2022). Prevalence of stress in suburban commuters and association of stress with duration of commute - A cross-sectional study. International Journal of Medical Reviews and Case Reports, 6(5), 55–57.
   Google Scholar
• Schaefer, K. J., Tuitjer, L., & Levin-Keitel, M. (2021). Transport disrupted - Substituting public transport by bike or car under Covid 19. Transportation Research Part A: Policy and Practice, 153, 202–217. https://doi.org/10.1016/j.tra.2021.09.002
   PubMed Web of Science ®Google Scholar
• Schwanen, T., Banister, D., & Anable, J. (2012). Rethinking habits and their role in behaviour change: The case of low-carbon mobility. Journal of Transport Geography, 24, 522–532. https://doi.org/10.1016/j.jtrangeo.2012.06.003
   Web of Science ®Google Scholar
• Schwartz, S. H. (1977). Normative influences on altruism. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 10, pp. 221–279). Academic Press.
   Google Scholar
• Si, H., Shi, J.-g., Tang, D., Wen, S., Miao, W., & Duan, K. (2019). Application of the theory of planned behavior in environmental science: A comprehensive bibliometric analysis. International Journal of Environmental Research and Public Health, 16(15), 2788. https://doi.org/10.3390/ijerph16152788
   PubMed Web of Science ®Google Scholar
• Swait, J., & Ben-Akiva, M. (1987). Incorporating random constraints in discrete models of choice set generation. Transportation Research Part B: Methodological, 21(2), 91–102. https://doi.org/10.1016/0191-2615(87)90009-9
   Web of Science ®Google Scholar
• Sy, K. T. L., Martinez, M. E., Rader, B., & White, L. F. (2021). Socioeconomic disparities in subway Use and COVID-19 outcomes in New York City. American Journal of Epidemiology, 190(7), 1234–1242.
   PubMed Web of Science ®Google Scholar
• Szczepanek, W. K., & Kruszyna, M. (2022). The impact of COVID-19 on the choice of transport means in journeys to work based on the selected example from Poland. Sustainability, 14(13). 7619.
   Web of Science ®Google Scholar
• Tan, L., & Ma, C. (2021). Choice behavior of commuters' rail transit mode during the COVID-19 pandemic based on logistic model. Journal of Traffic and Transportation Engineering-English Edition, 8(2), 186–195.
   Web of Science ®Google Scholar
• Teixeira, I. P., Rodrigues da Silva, A. N., Schwanen, T., Manzato, G. G., Dörrzapf, L., Zeile, P., Dekoninck, L., & Botteldooren, D. (2020). Does cycling infrastructure reduce stress biomarkers in commuting cyclists? A comparison of five European cities. Journal of Transport Geography, 88, 102830. https://doi.org/10.1016/j.jtrangeo.2020.102830
   Web of Science ®Google Scholar
• Teixeira, J. F., & Lopes, M. (2020). The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike. Transportation Research Interdisciplinary Perspectives, 6, 100166. https://doi.org/10.1016/j.trip.2020.100166
   PubMedGoogle Scholar
• Teixeira, J. F., Silva, C., & Moura, E. S. F. (2022). The role of bike sharing during the coronavirus pandemic: An analysis of the mobility patterns and perceptions of Lisbon's GIRA users. Transp Res Part A Policy Pract, 159, 17–34.
   PubMed Web of Science ®Google Scholar
• Thomas, F. M. F., Charlton, S. G., Lewis, I., & Nandavar, S. (2021). Commuting before and after COVID-19. Transportation Research Interdisciplinary Perspectives, 11, 100423. https://doi.org/10.1016/j.trip.2021.100423
   PubMedGoogle Scholar
• Truong, L. T., & Currie, G. (2019). Macroscopic road safety impacts of public transport: A case study of Melbourne, Australia. Accident Analysis & Prevention, 132, 105270. https://doi.org/10.1016/j.aap.2019.105270
   PubMed Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 1039–1061. https://doi.org/10.2307/2937956
   Web of Science ®Google Scholar
• van Wee, B., De Vos, J., & Maat, K. (2019). Impacts of the built environment and travel behaviour on attitudes: Theories underpinning the reverse causality hypothesis. Journal of Transport Geography, 80, 102540. https://doi.org/10.1016/j.jtrangeo.2019.102540
   Web of Science ®Google Scholar
• Verplanken, B., & Roy, D. (2016). Empowering interventions to promote sustainable lifestyles: Testing the habit discontinuity hypothesis in a field experiment. Journal of Environmental Psychology, 45, 127–134. https://doi.org/10.1016/j.jenvp.2015.11.008
   Web of Science ®Google Scholar
• Wang, K.-Y. (2014). How change of public transportation usage reveals fear of the SARS virus in a city. PLoS One, 9(3), e89405. https://doi.org/10.1371/journal.pone.00894
   PubMed Web of Science ®Google Scholar
• Wang, Y., Wang, Y., Chen, Y., & Qin, Q. (2020). Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. Journal of Medical Virology, 92(6), 568–576. https://doi.org/10.1002/jmv.25748
   PubMed Web of Science ®Google Scholar
• WHO. (2020). Coronavirus disease (COVID-19). https://www.who.int/health-topics/coronavirus#tab=tab_1.
   Google Scholar
• Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., & Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling, 155, 104660. https://doi.org/10.1016/j.resconrec.2019.104660
   Web of Science ®Google Scholar
• Zarabi, Z., Gerber, P., & Lord, S. (2019). Travel satisfaction vs. life satisfaction: A weighted decision-making approach. Sustainability, 11(19), 1–28. doi:10.3390/su11195309
   Web of Science ®Google Scholar
• Zarabi, Z., Waygood, E. O. D., Friman, M., Olsson, L. E., & Gousse-Lessard, A. (2022). Shifting to public transport: The influence of soft interventions.
   Google Scholar
• Zhao, P., & Gao, Y. (2022). Public transit travel choice in the post COVID-19 pandemic era: An application of the extended Theory of Planned behavior. Travel Behaviour and Society, 28, 181–195. doi:10.1016/j.tbs.2022.04.002
   PubMed Web of Science ®Google Scholar