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The Impact of COVID-19 Pandemic on the Perception of Public Transportation Users in Amman (Jordan)

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)
  • The original version of this chapter was revised: Table 5 on Page 396 was corrected. The statement “(before the pandemic)” has been removed from the headings “Number of walking days”, “Number of days using the private car”, “Number of days using public transportation”, “Reasons for choosing the means of traveling”. The correction to this chapter is available at https://doi.org/10.1007/978-3-030-86979-3_51

Abstract

The global pandemic of COVID-19 has a significant impact on the public transportation (PT) sector and users’ perception. This study aimed to assess the public transportation users’ perceptions, needs, and preferences during the COVID-19 pandemic in Amman, Jordan. A cross-sectional correlation design was used to recruit 510 participants between March 2020 - October 2020. We used an online survey that included the users’ sociodemographic data sheet, frequency of using PT and other traveling modes, and travelers’ perception towards PT before and after the pandemic. This study indicated a dramatic decrease in using PT during the pandemic, reaching 50%, and a reduction in the frequency of PT daily usage from 16% to 4%, however, all other traveling modes experienced an increase. In addition, 50% of the participants indicated that social distancing was the most important criterion to choose the mode of traveling during the pandemic, while equally 22% of the participants considered the duration and cost before traveling as an important criterion. A significant correlation between the frequency of using PT during the pandemic and anxiety was observed. However, the frequency of using PT or walking indicated a significant correlation with education levels only before the pandemic. Besides, 50% and 40% of the participants reported that neither public transportation nor walking infrastructure conditions were appropriate, respectively. The study yielded important empirical data that can be employed in PT planning and understanding users’ preferences during this pandemic and for anticipated coming waves.

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Change history

  • 05 December 2021

    In the originally published version, in the article “The Impact of COVID-19 Pandemic on the Perception of Public Transportation Users in Amman (Jordan)” (DOI: https://doi.org/10.1007/978-3-030-86979-3_28) in Table 5, which is at Page 396 of the published book, the statement “(before the pandemic)” was added in the headings by mistake. The statement has been removed. The correct headings are “Number of walking days”, “Number of days using the private car”, “Number of days using public transportation”, “Reasons for choosing the means of traveling”.

References

  1. World Health Organization. https://www.who.int/news/item/27-04-2020-who-timeline---covid-19. Accessed 16 Jan 2020

  2. Astroza, S., et al.: Mobility changes, teleworking, and remote communication during the COVID-19 Pandemic in Chile. Transport Findings (2020)

    Google Scholar 

  3. Molloy, J., Schatzmann, T., Schoeman, B., Tchervenkov, C., Hintermann, B., Axhausen, K.W.: Observed impacts of COVID-19 on travel behaviour in Switzerland based on a large GPS panel. Arbeitsberichte Verkehrs-und Raumplanung, vol. 1544 (2020)

    Google Scholar 

  4. Batsas, M.: Public transportation authorities and COVID-19: short to medium term impacts and interventions. International Association of Public Transport, Australia/New Zealand (2020)

    Google Scholar 

  5. Moslem, S., Campisi, T., Szmelter-Jarosz, A., Duleba, S., Nahiduzzaman, K.M., Tesoriere, G.: Best–worst method for modelling mobility choice after COVID-19: evidence from Italy. Sustainability 12, 6824 (2020)

    Article  Google Scholar 

  6. Moraci, F., Errigo, M.F., Fazia, C., Campisi, T., Castelli, F.: Cities under pressure: strategies and tools to face climate change and pandemic. Sustainability 12, 7743 (2020)

    Article  Google Scholar 

  7. Amekudzi-Kennedy, A., Labi, S., Woodall, B., Chester, M., Singh, P.: Reflections on pandemics, civil infrastructure and sustainable development: Five lessons from COVID-19 through the lens of transportation (2020)

    Google Scholar 

  8. Abdullah, M., Ali, N., Dias, C., Campisi, T., Javid, M.A.: exploring the traveler’s intentions to use public transport during the COVID-19 pandemic while complying with precautionary measures. Appl. Sci. 11, 3630 (2021)

    Article  Google Scholar 

  9. Torrisi, V., Campisi, T., Inturri, G., Ignaccolo, M., Tesoriere, G.: Continue to share? An overview on italian travel behavior before and after the COVID-19 lockdown. AIP Conference Proceedings, vol. 2343, p. 090010 (2021)

    Google Scholar 

  10. Tirachini, A., Cats, O.: COVID-19 and public transportation: current assessment, prospects, and research needs. J. Public Transp. 22, 1 (2020)

    Article  Google Scholar 

  11. Google LLC. https://www.google.com/covid19/mobility. Accessed 10 Apr 2021

  12. Department for Transport, United Kingdom. https://www.gov.uk/guidance/coronavirus-covid-19-safer-travel-guidance-for-passengers. Accessed 16 Jan 2021

  13. Government of Netherland. https://www.government.nl/topics/coronavirus-covid-19. Accessed 16 Jan 2021

  14. Centers for Disease Control and Prevention. https://www.cdc.gov/coronavirus/2019-ncov/community/office-buildings.html. Accessed 16 Jan 2021

  15. Transport for NSW. https://transportnsw.info/covid-19. Accessed 16 Jan 2021

  16. Shen, J., et al.: Prevention and control of COVID-19 in public transportation: experience from China. Environ. Pollut. 266, 115291 (2020)

    Google Scholar 

  17. Park, J.: Changes in subway ridership in response to COVID-19 in Seoul, South Korea: implications for social distancing. Cureus 12, e7668–e7668 (2020)

    Google Scholar 

  18. Basso, L.J., Sepúlveda, F., Silva, H.E.: Public Transport Policies after COVID-19 Confinement. Available at SSRN 3693098 (2020)

    Google Scholar 

  19. Acosta, M., Nestore, M.: Comparing public policy implementation in Taiwan and Vietnam in the early stages of the COVID-19 outbreak: a review. SocArXiv 2020, 1–7 (2020)

    Google Scholar 

  20. Jabeen, A., Ansari, J., Ikram, A., Abbasi, S., Khan, M., Rathore, T., Safdar, M.: Comparison of actions taken by Pakistan, United Arab Emirates and Vietnam for COVID-19 prevention and control. Global Biosecurity 1, (2020)

    Google Scholar 

  21. Land transport regulatory commission. https://www.jordantimes.com/news/local/transport-sector-regulators-seek-adherence-public-health-measures. Accessed 16 Jan 2021

  22. World Health Organization. https://www.who.int/countries/jor. Accessed 16 Jan 2021

  23. Blavatnik School of Government. https://covidtracker.bsg.ox.ac.uk/. Accessed 16 Jan 2021

  24. CNN. https://edition.cnn.com/2020/03/25/middleeast/jordan-lockdown-coronavirus-intl/index.html. Accessed 16 Jan 2021

  25. Ministry of Health in Jordan. https://corona.moh.gov.jo/en/MediaCenter. Accessed 16 Jan 2021

  26. Shbeeb, L.: A review of public transport service in Jordan: challenges and opportunities. Al-Balqa J. Res. Stud. البلقاء للبحوث والدراسات 21, 4 (2018)

    Google Scholar 

  27. Imam, R.: Measuring public transport satisfaction from user surveys. Int. J. Busin. Manage. 9, 106 (2014)

    Google Scholar 

  28. Makhamreha, Z., Almanasyeha, N.: Analyzing the state and pattern of urban growth and city planning in Amman using satellite images and GIS. Eur. J. Soc. Sci. 24, 252–264 (2011)

    Google Scholar 

  29. CSBE: A policy study report and general review of the draft law for the regulation of the transportation of passengers of 2016. Center for the Study of the Built Environment (2017)

    Google Scholar 

  30. Wielechowski, M., Czech, K., Grzęda, Ł.: Decline in mobility: public transport in Poland in the time of the COVID-19 pandemic. Economies 8, 78 (2020)

    Article  Google Scholar 

  31. Hadjidemetriou, G.M., Sasidharan, M., Kouyialis, G., Parlikad, A.K.: The impact of government measures and human mobility trend on COVID-19 related deaths in the UK. Transp. Res. Interdiscip. Perspect. 6, 100167 (2020)

    Google Scholar 

  32. Aloi, A., et al.: Effects of the COVID-19 lockdown on urban mobility: empirical evidence from the city of Santander (Spain). Sustainability 12, 3870 (2020)

    Article  Google Scholar 

  33. Pepe, E., Bajardi, P., Gauvin, L., Privitera, F., Lake, B., Cattuto, C., Tizzoni, M.: COVID-19 outbreak response: a first assessment of mobility changes in Italy following national lockdown. medRxiv (2020)

    Google Scholar 

  34. Beria, P., Lunkar, V.: Presence and mobility of the population during Covid-19 outbreak and lockdown in Italy. Sustain. Cities Soc. 65, (2020)

    Google Scholar 

  35. Dzisi, E.K.J., Dei, O.A.: Adherence to social distancing and wearing of masks within public transportation during the COVID 19 pandemic. Transp. Res. Interdiscip. Perspect. 7, 100191 (2020)

    Google Scholar 

  36. Campisi, T., Basbas, S., Skoufas, A., Akgün, N., Ticali, D., Tesoriere, G.: The impact of COVID-19 pandemic on the resilience of sustainable mobility in Sicily. Sustainability 12, 8829 (2020)

    Article  Google Scholar 

  37. Jenelius, E., Cebecauer, M.: Impacts of COVID-19 on public transport ridership in Sweden: analysis of ticket validations, sales and passenger counts. Transp. Res. Interdiscip. Perspect. 8, 100242 (2020)

    Google Scholar 

  38. Teixeira, J.F., Lopes, M.: The link between bike sharing and subway use during the COVID-19 pandemic: the case-study of New York's Citi Bike. Transp. Res. Interdiscip. Perspect. 6, 100166 (2020)

    Google Scholar 

  39. Wilbur, M., et al.: Impact of COVID-19 on Public Transit Accessibility and Ridership. arXiv preprint arXiv:2008.02413 (2020)

  40. Zhang, J., Hayashi, Y., Frank, L.D.: COVID-19 and transport: Findings from a world-wide expert survey. Transp. Policy 103, 68–85 (2021)

    Article  Google Scholar 

  41. Campisi, T., Akgün, N., Ticali, D., Tesoriere, G.: Exploring public opinion on personal mobility vehicle use: a case study in Palermo Italy. Sustainability 12, 5460 (2020)

    Article  Google Scholar 

  42. Tesoriere, G., Campisi, T.: The benefit of engage the “Crowd” encouraging a bottom-up approach for shared mobility rating. In: International Conference on Computational Science and Its Applications, pp. 836–850. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58802-1_60

  43. Campisi, T., Ignaccolo, M., Tesoriere, G., Inturri, G., Torrisi, V.: The evaluation of car-sharing to raise acceptance of electric vehicles: evidences from an italian survey among university students. SAE Technical Paper (2020)

    Google Scholar 

  44. Pullano, G., Valdano, E., Scarpa, N., Rubrichi, S., Colizza, V.: Population mobility reductions during COVID-19 epidemic in France under lockdown. MedRxiv (2020)

    Google Scholar 

  45. Almlöf, E., Rubensson, I., Cebecauer, M., Jenelius, E.: Who is still travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in stockholm based on smart card data. socioeconomic factors explaining travel behaviour in stockholm based on smart card data (September 8, 2020) (2020)

    Google Scholar 

  46. Bhaduri, E., Manoj, B.S., Wadud, Z., Goswami, A.K., Choudhury, C.F.: Modelling the effects of COVID-19 on travel mode choice behaviour in India. Transp. Res. Interdiscip. Perspect. 8, 100273 (2020)

    Google Scholar 

  47. DFPS: Directorate of Family and Population Surveys: Estimated Population of the Kingdom by Governorate, Locality Sex and Households,2020 (2020)

    Google Scholar 

  48. Naing, L., Winn, T., Rusli, B.N.: Practical issues in calculating the sample size for prevalence studies. Arch. Orofac. Sci. 1, 9–14 (2006)

    Google Scholar 

  49. https://www.cia.gov/the-world-factbook/countries/jordan/#people-and-society. Accessed 20 Jan 2021

  50. Taubman – Ben-Ari, O., Chasson, M., Abu Sharkia, S., Weiss, E.: Distress and anxiety associated with COVID-19 among Jewish and Arab pregnant women in Israel. J. Reproduct. Infant Psychol. 38, 340–348 (2020)

    Google Scholar 

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Correspondence to Motasem Darwish .

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Darwish, M., Campisi, T., Rumman, G.A. (2021). The Impact of COVID-19 Pandemic on the Perception of Public Transportation Users in Amman (Jordan). In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-86979-3_28

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