Evaluation of the impact of COVID-19 pandemic on transportation: a case study of Iran

Authors

DOI:

https://doi.org/10.5604/01.3001.0015.9174

Keywords:

Covid-19, transportation, social distancing, travel behaviour

Abstract

Coronavirus first appeared in January 2020 and has spread dramatically in most parts of the world. In addition to exerting enormous impacts on public health and well-being, it has also affected a broad spectrum of industries and sectors, including transportation. Countries around the world have imposed restrictions on travel and participation in activities due to the outbreak of the virus. Many countries have adopted social distancing rules requiring people to maintain a safe distance. Therefore, the pandemic has accelerated the transition into a world in which online education, online shopping, and remote working are becoming increasingly prevalent. Every aspect of our life has witnessed a series of new rules, habits, and behaviours during this period, and our travel choices or behaviours are no exception. Some of these changes can be permanent or have long-lasting effects. To control this situation, these changes must first be recognised in various aspects of transportation in order to provide policies for similar situations in the future. In this regard, this study seeks to examine how transportation sectors have changed in the first waves of the pandemic. Iran has been selected as the case study in this paper. This research is divided into two parts. The first part focuses on the effects of the Coronavirus pandemic on rural transportation in Iran. This is followed by assessing the impacts of the virus on urban transportation in Tehran (the capital of Iran). The behaviour of more than 700 travellers in terms of trip purpose, travel time, and mode choice is evaluated using a questionnaire. Results indicate that the number of passengers has reduced dramatically in rural transportation systems. In such systems, considerations such as keeping social distancing, disinfection of passengers and their luggage, and unemployment of a group of personnel working in the transportation industry have been more evident. In urban transportation, education trips have dropped the most. This might relate to an increase in online teaching and health concerns. The same pattern can be seen in the passengers who used bicycles, public taxis, and other public transportation systems. Finally, during the pandemic, drivers’ speed has increased, which justifies the need for traffic calming for drivers.

References

Abdullah, M., Ali, N., Dias, C., Campisi, T., Javid, M. A. (2021). Exploring the traveler’s intentions to use public transport during the covid-19 pandemic while complying with precautionary measures. Applied Sciences (Switzerland), 11(8). DOI: 10.3390/app 11083630.

Aghabayk, K., Esmailpour, J., Shiwakoti, N. (2021). Effects of COVID-19 on rail passengers’ crowding perceptions. Transportation Research Part A: Policy and Practice, 154, 186-202. DOI: 10.1016/j.tra. 2021.10.011.

Anwari, N., Ahmed, M. T., Islam, M. R., Hadiuzzaman, M., Amin, S. (2021). Changes in Travel Behaviour due to the Covid-19 Crisis: A Case Study for Bangladesh. In 8th International Conference on Transport Network Reliability.

Barnard, M. P., Chapman, P. (2018). The moderating effect of trait anxiety on anxiety-related thoughts and actions whilst driving. Personality and Individual Differences, 135, 207-211. DOI: 10.1016/j.paid.2018.07.027.

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. In Transport Policy 99, 95-119. DOI: 10.1016/j.tranpol.2020.08.004.

Bucsky, P. (2020). Modal share changes due to COVID-19: The case of Budapest. Transportation Research Interdisciplinary Perspectives, 8, 100141. DOI: 10.1016/j.trip.2020.100141.

Chai, X., Guo, X., Xiao, J., Jiang, J. (2020). Analysis of Spatial-temporal Behavior Pattern of the Share Bike Usage during COVID-19 Pandemic in Beijing.

Chamier-Gliszczyński, N. (2012a). Modeling system mobility in urban areas. Carpathian Logistics Congress, 501-508.

Chamier-Gliszczyński, N. (2012b). The aspect of sustainable transport: Structure analysis of system mobility in urban areas. Carpathian Logistics Congress, 509-515.

Chamier-Gliszczyński, N., Bohdal, T. (2016). Urban mobility assessment indicators in the perspective of the environment protection. Rocznik Ochrona Srodowiska, 18(1), 670-681.

Clapp, J. D., Olsen, S. A., Danoff-Burg, S., Hagewood, J. H., Hickling, E. J., Hwang, V. S., Beck, J. G. (2011). Factors contributing to anxious driving behavior: the role of stress history and accident severity. Journal of Anxiety Disorders, 25(4), 592-598. DOI:10.1016/j.janxdis.2011.01.008.

Fatmi, M. R. (2020). COVID-19 impact on urban mobility. Journal of Urban Management, 9(3), 270-275. DOI:10.1016/j.jum.2020.08.002.

Jacyna, M., Żochowska, R., Sobota, A., Wasiak, M. (2021). Scenario Analyses of Exhaust Emissions Reduction through the Introduction of Electric Vehicles into the City. In Energies (Vol. 14, Issue 7). DOI:10.3390/en14072030.

Khaddar, S., Fatmi, M. R. (2021). COVID-19: Are you satisfied with traveling during the pandemic? Transportation Research 38 Nadimi, N., Mansourifar, F., Asadamraji, M., Amir, A.M., Archives of Transport, 63(3), 25-38, 2022 Interdisciplinary Perspectives, 9, 100292. DOI: 10.1016/j.trip.2020.100292.

Lee, J., Baig, F., Pervez, A. (2021). Impacts of COVID-19 on individuals’ mobility behavior in Pakistan based on self-reported responses. Journal of Transport Health, 22, 101228. DOI: 10.1016/j.jth.2021.101228.

Loa, P., Hossain, S., Liu, Y., Nurul Habib, K. (2021). How have ride-sourcing users adapted to the first wave of the COVID-19 pandemic? evidence from a survey-based study of the Greater Toronto Area. Transportation Letters, 13(5–6), 404-413. DOI: 10.1080/19427867 .2021.1892938.

Malik, O., Gong, B., Moussawi, A., Korniss, G., Szymanski, B. K. (2022). Modelling epidemic spread in cities using public transportation as a proxy for generalized mobility trends. Scientific Reports, 12(1), 6372. DOI: 10.1038/s41598-022-10234-8.

Mazareanu, E. (2020). Coronavirus: impact on the transportation and logistics industry worldwide - Statistics Facts.

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. In Transport Policy, 104, 43-51. DOI: 10.1016/j.tranpol.2021.01.009.

Muley, D., Ghanim, M. S., Mohammad, A., Kharbeche, M. (2021). Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar. In Transport Policy, 103, 45-59. DOI: 10.1016/j.tranpol.2021.01.018.

Nikiforiadis, A., Ayfantopoulou, G., Stamelou, A. (2020). Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece. In Sustainability (Vol. 12, Issue 19). DOI: 10.3390/su12198215.

OECD. (2018). COVID-19: Protecting people and societies.

Reason, J., Manstead, A., Stephen, S., Baxter, J., Campbell, K. (1990). Errors and violations on the roads: A real distinction? Ergonomics, 33(10–11), 1315-1332. DOI: 10.1080/0014 0139008925335.

Shaer, A., Haghshenas, H. (2021). The impacts of COVID-19 on older adults’ active transportation mode usage in Isfahan, Iran. Journal of Transport Health, 23, 101244. DOI: 10.1016/j.jth.2021.101244.

Shokouhyar, S., Shokoohyar, S., Sobhani, A., Gorizi, A. J. (2021). Shared mobility in post- COVID era: New challenges and opportunities. Sustainable Cities and Society, 67, 102714. DOI: 10.1016/j.scs.2021.102714.

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. DOI: 10.1016/j.jtte.2020.07.002.

Wilbur, M., Ayman, A., Ouyang, A., Poon, V., Kabir, R., Vadali, A., Pugliese, P., Freudberg, D., Laszka, A., Dubey, A. (2020). Impact of COVID-19 on Public Transit Accessibility and Ridership. http://arxiv.org/abs/2008.02413.

Worldometers, COVID-19 Pandemic. (2021). https://www.worldometers.info/coronavirus/.

Ye, Q., Ozbay, K., Zuo, F., Chen, X. (2021). Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City. Transportation Research Record, 03611981211033857. DOI:10.1177/03611981211033857.

Zheng, R., Xu, Y., Wang, W., Ning, G., Bi, Y. (2020). Spatial transmission of COVID-19 via public and private transportation in China. In Travel Medicine and Infectious Diseases. 34, 101626. Elsevier USA. DOI: 10.1016/j.tmaid. 2020.101626.

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Published

2022-03-31

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Original articles

How to Cite

Nadimi, N., Monsourifar, F., Asadamraji, M., & Amiri, A. M. (2022). Evaluation of the impact of COVID-19 pandemic on transportation: a case study of Iran. Archives of Transport, 62(2), 25-38. https://doi.org/10.5604/01.3001.0015.9174

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