PASSENGER TRAVEL BEHAVIOR BEFORE & DURING THE COVID-19 OUTBREAK: A COMPARATIVE ANALYSIS

Mahdi Mansur  Mahi; Md Shahriar  Sharif; Rhyme Rubayet  Rudra

doi:10.53808/KUS.2022.ICSTEM4IR.0024-se

Authors

Mahdi Mansur Mahi Department of Urban and Regional Planning, Khulna University of Engineering and Technology (KUET), Khulna-9203, Bangladesh
Md Shahriar Sharif Department of Urban and Regional Planning, Khulna University of Engineering and Technology (KUET), Khulna-9203, Bangladesh
Rhyme Rubayet Rudra Department of Urban and Regional Planning, Khulna University of Engineering and Technology (KUET), Khulna-9203, Bangladesh

DOI:

https://doi.org/10.53808/KUS.2022.ICSTEM4IR.0024-se

Keywords:

Mode choice, covid-19, travel patterns, travel behavior

Abstract

COVID-19 undoubtedly remains one among the most significant disruptive occurrences of the 21st century, initially recorded in China and spread swiftly throughout the globe. Countries used varied measures to prevent it, from just advising them to levy complete lockdown. This article seeks to examine, through an analytical study done online in between 3 May to 4 July 2021, the influence of the pandemic on travel in Dhaka City, Bangladesh. Questionnaires were utilized to provide views on traveling number and mode choices for different "before" or "during" COVID‐19 travel reasons by respondents from different socio-economic backgrounds. The results were utilized in the analysis of (i) travel frequency and (ii) the preferences of mode using Mann Whitney, Kruskal Wallis with Wilcoxon Test. Analyses show that COVID‐19 produced a wide variance in mode choices with travel frequency, Males continue to go to work and shopping and risk them more than women. Despite being a public transport, busses continue to be most preferred during Covid situation. In addition, most individuals continue to use busses at the cost of health because of the absence of cheaper alternatives. The government should have to maintain adequate sanitary procedures in public transport and the ICTs and foot and bicycle facilities must be upgraded to prevent the consequences.

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References

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(July), 100255. https://doi.org/ 10.1016/j.trip.2020.100255

Ahmed, M. T., Hadiuzzaman, M., Islam, M. R., Anwari, N., & Islam, M. A. A. (2021). Exploring factors affecting commuters’ perceptions on intercity rail service quality using ordinal logistic regression.

Akash, M., Akter, J., Tamanna, T., & Kabir, M. R. (2018). The Urbanization and Environmental Challenges in Dhaka City. SSRN Electronic Journal, February, 145–157. https://doi.org/10.2139/ssrn.3152116

Andersen, L. M., Harden, S. R., Sugg, M. M., Runkle, J. D., & Lundquist, T. E. (2021). Analyzing the spatial determinants of local Covid-19 transmission in the United States. Science of The Total Environment, 754, 142396. https://doi.org/10.1016/j.scitotenv.2020.142396

Anwar, S., Nasrullah, M., & Hosen, M. J. (2020). COVID-19 and Bangladesh: Challenges and How to Address Them. Frontiers in Public Health, 8(April). https://doi.org/10.3389/fpubh.2020.00154

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(February). https://doi.org/10.1016/j.trip.2021.100334

Awad-Núñez, S., Julio, R., Gomez, J., Moya-Gómez, B., & González, J. S. (2021). Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain. European Transport Research Review, 13(1). https://doi.org/10.1186/s12544-021-00476-4

Barbieri, D. M., Lou, B., Passavanti, M., Hui, C., Hoff, I., Lessa, D. A., Sikka, G., Chang, K., Gupta, A., Fang, K., Banerjee, A., Maharaj, B., Lam, L., Ghasemi, N., Naik, B., Wang, F., Mirhosseini, A. F., Naseri, S., Liu, Z., … Rashidi, T. H. (2021). Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes. PLoS ONE, 16(2 February), 1–18. https://doi.org/10.1371/ journal.pone.0245886

Borkowski, P., Jażdżewska-Gutta, M., & Szmelter-Jarosz, A. (2021). Lockdowned: Everyday mobility changes in response to COVID-19. Journal of Transport Geography, 90(May 2020). https://doi.org/10.1016/ j.jtrangeo.2020.102906

Brough, R., Freedman, M., & Phillips, D. C. (2021). Understanding socioeconomic disparities in travel behavior during the COVID-19 pandemic. Journal of Regional Science, December. https://doi.org/10.1111/jors.12527

Celik, B., & Dane, S. (2020). The effects of COVID-19 pandemic outbreak on food consumption preferences and their causes. Journal of Research in Medical and Dental Science, 8(3), 169–173.

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. https://doi.org/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. https://doi.org/10.1016/j.trip.2020.100121

Gkiotsalitis, K., & Cats, O. (2020). Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions. Transport Reviews, 0(0), 1–19. https://doi.org/10.1080/01441647.2020.1857886

Kamruzzaman, M., & Sakib, S. N. (2020). Bangladesh imposes total lockdown over COVID-19. https://www.aa.com.tr/en/asia-pacific/bangladesh-imposes-total-lockdown-over-covid-19/1778272

Kraemer, M. U. G., Yang, C.-H., Gutierrez, B., Wu, C.-H., Klein, B., Pigott, D. M., du Plessis, L., Faria, N. R., Li, R., Hanage, W. P., Brownstein, J. S., Layan, M., Vespignani, A., Tian, H., Dye, C., Pybus, O. G., & Scarpino, S. V. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, 368(6490), 493 LP – 497. https://doi.org/10.1126/science.abb4218

Kwok, K. O., Li, K. K., Chan, H. H., Yi, Y. Y., Tang, A., Wei, W. I., & Wong, Y. S. (2020). Community responses during the early phase of the COVID-19 epidemic in Hong Kong: risk perception, information exposure and preventive measures. MedRxiv.

Linka, K., Peirlinck, M., Sahli Costabal, F., & Kuhl, E. (2020). Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions. Computer Methods in Biomechanics and Biomedical Engineering, 23(11), 710–717. https://doi.org/10.1080/10255842.2020.1759560

McKnight, P. E., & Najab, J. (2010). Mann-Whitney U Test. The Corsini Encyclopedia of Psychology, 1.

Molloy, J., Schatzmann, T., Schoeman, B., Tchervenkov, C., Hintermann, B., & Axhausen, K. W. (2021). Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel. Transport Policy, 104(February), 43–51. https://doi.org/10.1016/j.tranpol.2021.01.009

Molloy, J., Tchervenkov, C., Hintermann, B., & Axhausen, K. W. (2020). Tracing the Sars-CoV-2 impact: The first month in Switzerland. Findings, 12903.

Nahm, F. S. (2016). Nonparametric statistical tests for the continuous data: The basic concept and the practical use. Korean Journal of Anesthesiology, 69(1), 8–14. https://doi.org/10.4097/kjae.2016.69.1.8

Ostertagova, E., Ostertag, O., & Kováč, J. (2014). Methodology and application of the Kruskal-Wallis test. Applied Mechanics and Materials, 611, 115–120.

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 (Switzerland), 13(1), 1–12.