Impact of COVID-19 on Public Transport Ridership in Srinagar City

Authors

  • Sheikh Nadeem Qasim M.Tech Scholar, Department of Civil Engineering, RIMT University, Punjab India Author
  • Ashish Kumar Assistant Professor, Department of Civil Engineering, RIMT University, Punjab India Author

DOI:

https://doi.org/10.55524/ijirem.2023.10.1.17

Keywords:

COVID-19, Public, Transportation, Srinagar, India

Abstract

This paper briefly summarizes the  evaluation of the effects brought on by the devastating  COVID-19 pandemic on public transport ridership. The  transportation industry has been significantly impacted by  COVID-19, thus this study identifies, analyses, and offers  some useful improvement approaches to prevent the  challenges that are currently occurring and being confronted,  notably by stakeholders and the public. A questionnaire form  was created, and with the aid of web based survey, a sample  size of 180 survey forms was completed while taking into  account D Morgan's Table. Data and replies were gathered  using the main data source. This is the initial study on the  effects of COVID-19 on transportation in Srinagar (Jammu  and Kashmir, India), and it is anticipated that it will be  crucial in reducing the adverse effects of a pandemic on  Srinagar's transportation industry. In addition, the study  emphasizes a number of significant elements that are very  likely to affect travelers’ choices in the post-pandemic  period. Factors such as respondents' regular modes of  transportation during the pre-COVID-19 period, their  frequency of public transportation use in that time period,  their anticipated change in trip frequency and virtual  activities during the "new normal" situation, their perception  of risk, and their confidence in preventive measures all had  an impact on the anticipated change in frequency of travel by  public transportation during that time period. 

Downloads

Download data is not yet available.

References

Funk, S., Salathé, M., Jansen, V.A., 2010. Modelling the influence of human behavior on the spread of infectious diseases: a review. J. R. Soc. Interface 7 (50), 1247–1256.

Belik, V., Geisel, T., Brockmann, D., 2011. Natural human mobility patterns and spatial spread of infectious diseases. Phys. Rev. X 1, (1) 011001.

Rizzo, A., Frasca, M., Porfiri, M., 2014. Effect of individual behavior on epidemic spreading in activity-driven networks. Phys. Rev. E 90, (4) 042801

Peixoto, P.S., Marcondes, D., Peixoto, C., Oliva, S.M., 2020. Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil. PLoS ONE 15, (7) e0235732.

Yan, Q.L., Tang, S.Y., Xiao, Y.N., 2018. Impact of individual behaviour change on the spread of emerging infectious diseases. Stat. Med. 37 (6), 948–969.

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.

Organization, W. H. (2020). Coronavirus disease (COVID 19). Data as received by WHO from national authorities, as of 11 October 2020

Lipsitch, M., D. L. Swerdlow, and L. Finelli. (2020). Defining the Epidemiology of Covid-19 — Studies Needed. New England journal of medicine, Vol. 382, No. 13, pp. 1194-1196.

Mogaji, E. (2020). Impact of COVID-19 on transportation in Lagos, Nigeria. Transportation research interdisciplinary perspectives, 6, 100154.

Leggat, P.A., Brown, L.H., Aitken, P., Speare, R., 2010. Level of concern and precaution taking among Australians regarding travel during pandemic (H1N1) 2009: results from the 2009 Queensland Social Survey. J. Travel Med. 17 (5), 291–295.

Sharangpani, R., Boulton, K.E., Wells, E., Kim, C., 2011. Attitudes and behaviors of international air travelers toward pandemic influenza. J. Travel Med. 18 (3), 203–208.

De Vos, J. (2020). The effect of COVID-19 and subsequent social distancing on travel behavior. Transportation research interdisciplinary perspectives, 5, 100121.

Warren, M. S., & Skillman, S. W. (2020). Mobility changes in response to COVID-19. arXiv preprint arXiv:2003.14228. [14] Mohammadian, A.K., Shabanpour, R., Shamshiripour, A.,

Rahmi, E., 2020. TRB Webinar: How Much Will COVID-19 Affect Travel Behavior? Webinar: the National Academie of Science, Engineering, Medicine. Transport Research Board.

Papandreou, C., Arija, V., Aretouli, E., Tsilidis, K. K., & Bulló, M. (2020). Comparing eating behaviours, and symptoms of depression and anxiety between Spain and Greece during the COVID‐19 outbreak: Cross‐sectional analysis of two different confinement strategies. European Eating Disorders Review, 28(6), 836-846.

Huang, J., Wang, H., Fan, M., Zhuo, A., Sun, Y., Li, Y., 2020. Understanding the impact of the COVID-19 pandemic on transportation-related behaviors with human mobility data. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery, New York, NY, USA, pp. 3443–3450.

Cartenì, A., Di Francesco, L., Martino, M., 2021. The role of transport accessibility within the spread of the Coronavirus pandemic in Italy. Saf. Sci. 133, 104999 https://doi. org/10.1016/j.ssci.2020.104999.

Lau, H., Khosrawipour, V., Kocbach, P., Mikolajczyk, A., Ichii, H., Zacharski, M., Bania, J., Khosrawipour, T., 2020. The association between international and domestic air traffic and the coronavirus (COVID-19) outbreak. J. Microbiol. Immunol. Infect. 53, 467–472.

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.

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. Appl. Sci. 11, 3630.

Almlöf, E., Rubensson, I., Cebecauer, M., Jenelius, E., 2020. Who Is Still Travelling by Public Transport During COVID 19? Socioeconomic Factors Explaining Travel Behaviour in Stockholm Based on Smart Card Data.

Aloi, A., Alonso, B., Benavente, J., Cordera, R., Echaniz, E., Gonzalez, F., Ladisa, C., Lezama-Romanelli, R., Lopez-Parra, A., Mazzei, V., Perrucci, L., Prieto-Quintana, D., Rodriguez, A., Sanudo, R., 2020. Effects of the COVID-19 lockdown on urban mobility: empirical evidence from the city of Santander (Spain). Sustainability 12, 3870

https://www.questionpro.com/blog/snowball-sampling/ Innovative Research Publication 99

Downloads

Published

2023-02-28

How to Cite

Impact of COVID-19 on Public Transport Ridership in Srinagar City . (2023). International Journal of Innovative Research in Engineering & Management, 10(1), 91–99. https://doi.org/10.55524/ijirem.2023.10.1.17