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Articles

How did travel mode choices change according to Coronavirus Disease 2019? Lessons from Seoul, South Korea

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Pages 437-454 | Received 31 Jan 2021, Accepted 30 Jun 2021, Published online: 07 Jul 2021

References

  • Alexander, D., & Karger, E. (2020). Federal Reserve Bank of Chicago Effects of stay-at-home orders on consumer behavior. Available at: Alexander, D., & Karger, E. (2020). Federal Reserve Bank of Chicago Effects of stay-at-home orders on consumer behavior.
  • Aloi, A., Alonso, B., Benavente, J., Cordera, R., Echániz, E., González, F., … Sañudo, R. (2020). Effects of the COVID-19 lockdown on urban mobility: Empirical evidence from the city of Santander (Spain). Sustainability (Switzerland), 12(9). doi:10.3390/su12093870
  • Arellana, J., Márquez, L., & Cantillo, V. (2020). COVID-19 Outbreak in Colombia: An analysis of its impacts on transport systems. Journal of Advanced Transportation, 2020, 1–16. doi:10.1155/2020/8867316
  • Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., Yannelis, C., & Pontiff, J. (2020). How does household spending respond to an epidemic? Consumption during the 2020 COVID-19 pandemic. Review of Asset Pricing Studies, 10(4), 834–862. doi:10.1093/rapstu/raaa009
  • Beck, M. J., & Hensher, D. A. (2020). Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions. Transport Policy, 99(May), 95–119. doi:10.1016/j.tranpol.2020.08.004
  • Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2), 136–145. doi:10.1037/0278-6133.26.2.136
  • Bucsky, P. (2020). Modal share changes due to COVID-19: The case of Budapest. Transportation Research Interdisciplinary Perspectives, 8. doi:10.1016/j.trip.2020.100141
  • Budd, L., & Ison, S. (2020). Responsible transport: A post-COVID agenda for transport policy and practice. Transportation Research Interdisciplinary Perspectives, 6, 100151. doi:10.1016/j.trip.2020.100151
  • Cahyanto, I., Wiblishauser, M., Pennington-Gray, L., & Schroeder, A. (2016). The dynamics of travel avoidance: The case of ebola in the U.S. Tourism Management Perspectives, 20, 195–203. doi:10.1016/j.tmp.2016.09.004
  • Cao, X., Mokhtarian, P. L., & Handy, S. L. (2009). Examining the impacts of residential self-selection on travel behaviour: A focus on empirical findings. Transport Reviews. doi:10.1080/01441640802539195
  • Chang, S., Pierson, E., Koh, P. W., Gerardin, J., Redbird, B., Grusky, D., & Leskovec, J. (2021). Mobility network models of COVID-19 explain inequities and inform reopening. Nature, 589(7840), 82–87. doi:10.1038/s41586-020-2923-3
  • Chapman, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (pp. 45–65). Jossey-Bass.
  • Chen, J. Y., Fox, S. A., Cantrell, C. H., Stockdale, S. E., & Kagawa-Singer, M. (2007). Health disparities and prevention: Racial/ethnic barriers to flu vaccinations. Journal of Community Health, 32(1), 5–20. doi:10.1007/s10900-006-9031-7
  • Currie, G., Jain, T., Aston, L., & Mc Carthy, L. (2020). Long-term post-pandemic impacts of the COVID-19 crisis on travel – Early results Smart Public Transport Lab Webinar, June 2020 (2020). Delft University of Technology. Retrieved from http://smartptlab.tudelft.nl/sptl-seminar-by-graham-currie-long-term-post-pandemic-impacts-of-the-covid-19-crisis on-travel
  • de Haas, M., Faber, R., & Hamersma, M. (2020). How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands. Transportation Research Interdisciplinary Perspectives, 6, 100150. doi:10.1016/j.trip.2020.100150
  • De Vos, J. (2020). The effect of COVID-19 and subsequent social distancing on travel behavior. Transportation Research Interdisciplinary Perspectives, 5, 100121. doi:10.1016/j.trip.2020.100121
  • De Vos, J., Mokhtarian, P. L., Schwanen, T., Van Acker, V., & Witlox, F. (2016). Travel mode choice and travel satisfaction: Bridging the gap between decision utility and experienced utility. Transportation, 43(5), 771–796. doi:10.1007/s11116-015-9619-9
  • Diana, M. (2008). Making the “primary utility of travel” concept operational: A measurement model for the assessment of the intrinsic utility of reported trips. Transportation Research Part A: Policy and Practice, 42(3), 455–474. doi:10.1016/j.tra.2007.12.005
  • Ewing, R., & Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association, 76(3), 265–294. doi:10.1080/01944361003766766
  • Falchetta, B. Y. G., & Noussan, M. (2020). The impact of COVID-19 on transport demand, modal choices, and sectoral energy consumption in Europe. IAEE Energy Forum 2020 (COVID-19 special issue), 48–50.
  • Gim, T. H. T. (2011). Influences on trip frequency according to travel purposes: A structural equation modeling approach in Seoul, South Korea. Environment and Planning B: Planning and Design, 38(3), 429–446. doi:10.1068/b36061
  • Gim, T. H. T. (2017). Investigating travel utility elements in association with travel time and mode choice: The case of Seoul, South Korea. Transportation Planning and Technology, 40(6), 641–660. doi:10.1080/03081060.2017.1325136
  • Gim, T. H. T. (2018, March). Land use, travel utility and travel behaviour: An analysis from the perspective of the positive utility of travel. Papers in Regional Science, 97, S169–S192. doi:10.1111/pirs.12239
  • Grace, J. B. (2006). Structural equation modeling and natural systems. Cambridge University Press.
  • Handy, S. (2005). Critical assessment of the literature on the relationships among transportation, land use, and physical activity. Transportation Research Board and the Institute of Medicine Committee on Physical Activity, Health, Transportation, and Land Use. Resource paper for {TRB} Special Report 282. Retrieved from http://onlinepubs.trb.org/onlinepubs/archive/downloads/sr282papers/sr282handy.pdf
  • Handy, S. L., Boarnet, M. G., Ewing, R., & Killingsworth, R. E. (2002). How the built environment affects physical activity: Views from urban planning. American Journal of Preventive Medicine, 23(2 SUPPL. 1), 64–73. doi:10.1016/S0749-3797(02)00475-0
  • Hotle, S., Murray-Tuite, P., & Singh, K. (2020). Influenza risk perception and travel-related health protection behavior in the US: Insights for the aftermath of the COVID-19 outbreak. Transportation Research Interdisciplinary Perspectives, 5, 100127. doi:10.1016/j.trip.2020.100127
  • Hupkes, G. (1982). The law of constant travel time and trip-rates. Futures, 14(1), 38–46. doi:10.1016/0016-3287(82)90070-2
  • Jenelius, E., & Cebecauer, M. (2020, June). Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts. Transportation Research Interdisciplinary Perspectives, 8, 100242. doi:10.1016/j.trip.2020.100242
  • Kim, C., Cheon, S. H., Choi, K., Joh, C.-H., & Lee, H.-J. (2017). Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul. KSCE Journal of Civil Engineering, 21(7), 2888–2895. doi:10.1007/s12205-017-0821-5
  • Kostat. (2020). Korean Social Trends 2020, Retrieved December 8, 2020 from https://Kostat.go.kr/sri/srieng/srieng_pbl/4/index.board
  • Lau, J. T. F., Kim, J. H., Tsui, H., & Griffiths, S. (2007). Anticipated and current preventive behaviors in response to an anticipated human-to-human H5N1 epidemic in the Hong Kong Chinese general population. BMC Infectious Diseases, 7, 1–12. doi:10.1186/1471-2334-7-18
  • Liu, B., Schroeder, A., & Pennington-Gray, L. (2016). Empirically testing the influence of travel safety concerns: Examining alternative models. Travel and Tourism Research Association: Advancing Tourism Research Globally, 1–13. Retrieved from https://scholarworks.umass.edu/ttra/2016/Academic_Papers_Visual/9
  • Maughan-Brown, B., & Venkataramani, A. S. (2017). Accuracy and determinants of perceived HIV risk among young women in South Africa. BMC Public Health, 18(1), 1–9. doi:10.1186/s12889-017-4593-0
  • Mokhtarian, P. L., & Salomon, I. (2001). How derived is the demand for travel? Some conceptual and measurement considerations. Transportation Research Part A: Policy and Practice, 35(8), 695–719. doi:10.1016/S0965-8564(00)00013-6
  • Newbold, S. C., Finnoff, D., Thunström, L., Ashworth, M., & Shogren, J. F. (2020). Effects of physical distancing to control COVID-19 on public health, the economy, and the environment. Environmental and Resource Economics, 76(4), 705–729. doi:10.1007/s10640-020-00440-1
  • Ory, D. T., & Mokhtarian, P. L. (2005). Permalink publication date when is getting there half the fun? Modeling the liking for travel. Transportation Research, 39(3), 97–124. Retrieved from https://escholarship.org/uc/item/2nx4m4k6
  • Parady, G., Taniguchi, A., & Takami, K. (2020). Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction. Transportation Research Interdisciplinary Perspectives, 7, 100181. doi:10.1016/j.trip.2020.100181
  • Pawar, D. S., Yadav, A. K., Akolekar, N., & Velaga, N. R. (2020). Impact of physical distancing due to novel coronavirus (SARS-CoV-2) on daily travel for work during transition to lockdown. Transportation Research Interdisciplinary Perspectives, 7, 100203. doi:10.1016/j.trip.2020.100203
  • Pennington-Gray, L., Schroeder, A., & Kaplanidou, K. (2011). Examining the influence of past travel experience, general Web searching behaviors, and risk perceptions on future travel intentions. IJSSTH, 1(1), 64–89.
  • Rahimi, A., Azimi, G., & Jin, X. (2020). Examining human attitudes toward shared mobility options and autonomous vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 72, 133–154. doi:10.1016/j.trf.2020.05.001
  • Rogers, R. W. (1983). Cognitive and psychological processes in fear appeals and attitude change: A revised theory of protection motivation. In Social psychophysiology: A sourcebook (pp. 153–176). Guilford Press.
  • Sadique, M. Z., Edmunds, W. J., Smith, R. D., Meerding, W. J., de Zwart, O., Brug, J., & Beutels, P. (2007). Precautionary behavior in response to perceived threat of pandemic influenza. Emerging Infectious Diseases, 13(9), 1307–1313. doi:10.3201/eid1309.070372
  • Salomon, I., & Mokhtarian, P. L. (1998). What happens when mobility-inclined market segments face accessibility-enhancing policies? Transportation Research Part D: Transport and Environment, 3(3), 129–140. doi:10.1016/S1361-9209(97)00038-2
  • Seoul. (2018). Retrieved December 8, 2020 from https://news.seoul.go.kr/traffic/archives/289
  • Shakibaei, S., de Jong, G. C., Alpkökin, P., & Rashidi, T. H. (2021, September). Impact of the COVID-19 pandemic on travel behavior in Istanbul: A panel data analysis. Sustainable Cities and Society, 65, 102619. doi:10.1016/j.scs.2020.102619
  • Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, A. (2020). How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago. Transportation Research Interdisciplinary Perspectives, 7, 100216. doi:10.1016/j.trip.2020.100216
  • Shaw, R., Kim, Y., & Hua, J. (2020). Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in east Asia. Progress in Disaster Science, 6, 100090. doi:10.1016/j.pdisas.2020.100090
  • Sjöberg, L., Moen, B. E., & Rundmo, T. (2004). Explaining risk perception. An evaluation of the psychometric paradigm in risk perception research. Rotunde, 84, 1–33.
  • Small, K. A. (1992). Urban transportation economics. Reading, UK: Harwood Academic Publishers.
  • Sun, C., & Zhai, Z. (2020, June). The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission. Sustainable Cities and Society, 62, 102390. doi:10.1016/j.scs.2020.102390
  • Tan, L., & Ma, C. (2020). Choice behavior of commuters’ rail transit mode during the COVID-19 pandemic based on logistic model. Journal of Traffic and Transportation Engineering (English Edition). doi:10.1016/j.jtte.2020.07.002
  • 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. doi:10.1016/j.trip.2020.100166
  • Tian, G., & Ewing, R. (2017). A walk trip generation model for Portland, OR. Transportation Research Part D: Transport and Environment, 52, 340–353. doi:10.1016/j.trd.2017.03.017
  • Tirachini, A., & Cats, O. (2020). COVID-19 and public transportation: Current assessment, prospects, and research needs. Journal of Public Transportation, 22(1), 1–34. doi:10.5038/2375-0901.22.1.1
  • UITP. (2020). Management of COVID-19: Guidelines for public transport operators. Factsheet, March 2020. International Association of Public Transport (UITP). Retrieved January 10, 2021, from https://www.uitp.org/management-covid-19-guidelines-public-transport-operators
  • Weinstein, N. D. (1988). The precaution adoption process. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 7(4), 355–386. doi:10.1037/0278-6133.7.4.355
  • Wise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C., & Mobbs, D. (2020). Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. Royal Society Open Science, 7(9), 200742. doi:10.1098/rsos.200742
  • Worldometer. (2020, May 17). COVID-19 coronavirus pandemic. Retrieved from https://www.worldometers.info/coronavirus/
  • Zhang, J. (2020). Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach. Transport Policy, 99, 405–418. doi:10.1016/j.tranpol.2020.09.009
  • Zhang, W., Gu, H., & Kavanaugh, R. R. (2005). The impacts of SARS on the consumer behaviour of Chinese domestic tourists. Current Issues in Tourism, 8(1), 22–38. doi:10.1080/13683500508668203

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