IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v105y2022ics0966692322001843.html
   My bibliography  Save this article

Investigating factors affecting university students' use of subway before and after COVID-19 outbreak: A case study in Tehran

Author

Listed:
  • Maljaee, Seyedeh Sara
  • Khadem Sameni, Melody

Abstract

Identifying and examining factors affecting the use of the subway is critical for developing countries as they struggle with high levels of auto use and resulting congestion, noise and air pollution. In this research, we surveyed students of a top-ranked university in the capital of Iran before and after the COVID-19 outbreak to identify the factors affecting their use of the subway. Chi-square tests show that gender, level of education, and being the only child of the family have the highest impact on using a private car. These variables had no significant influence on students' mode choice to university before the COVID-19 pandemic, when students' mode choice was only a function of their residence location. However, the pandemic has affected priorities for mode choice. For instance, hygiene and social distancing, which were previously insignificant to students, are now among their top criteria, and travel time and cost are less important for students than in the past. As a result, subway use has significantly decreased. Based on the results of the research, when making relevant policies, more attention should be paid to the groups of women, undergraduate students and single children that are more likely to use private cars.

Suggested Citation

  • Maljaee, Seyedeh Sara & Khadem Sameni, Melody, 2022. "Investigating factors affecting university students' use of subway before and after COVID-19 outbreak: A case study in Tehran," Journal of Transport Geography, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:jotrge:v:105:y:2022:i:c:s0966692322001843
    DOI: 10.1016/j.jtrangeo.2022.103461
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692322001843
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2022.103461?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Simons, Dorien & De Bourdeaudhuij, Ilse & Clarys, Peter & de Geus, Bas & Vandelanotte, Corneel & Van Cauwenberg, Jelle & Deforche, Benedicte, 2017. "Choice of transport mode in emerging adulthood: Differences between secondary school students, studying young adults and working young adults and relations with gender, SES and living environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 172-184.
    2. Xu, Yangfei & Zhang, Qinghua & Zheng, Siqi, 2015. "The rising demand for subway after private driving restriction: Evidence from Beijing's housing market," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 28-37.
    3. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    4. Luan, Siliang & Yang, Qingfang & Jiang, Zhongtai & Wang, Wei, 2021. "Exploring the impact of COVID-19 on individual's travel mode choice in China," Transport Policy, Elsevier, vol. 106(C), pages 271-280.
    5. Khadem Sameni, Melody & Barzegar Tilenoie, Amine & Dini, Niloofar, 2021. "Will modal shift occur from subway to other modes of transportation in the post-corona world in developing countries?," Transport Policy, Elsevier, vol. 111(C), pages 82-89.
    6. Guo, Yuanyuan & He, Sylvia Y., 2021. "The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 377-396.
    7. Dai, Jingchen & Liu, Zhiyong & Li, Ruimin, 2021. "Improving the subway attraction for the post-COVID-19 era: The role of fare-free public transport policy," Transport Policy, Elsevier, vol. 103(C), pages 21-30.
    8. Mohammadzadeh, Mohsen, 2020. "Exploring tertiary students' travel mode choices in Auckland: Insights and policy implications," Journal of Transport Geography, Elsevier, vol. 87(C).
    9. Yuanyuan Guo & Linchuan Yang & Wenke Huang & Yi Guo, 2020. "Traffic Safety Perception, Attitude, and Feeder Mode Choice of Metro Commute: Evidence from Shenzhen," IJERPH, MDPI, vol. 17(24), pages 1-20, December.
    10. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
    11. Ming Li & Guohua Song & Ying Cheng & Lei Yu, 2015. "Identification of Prior Factors Influencing the Mode Choice of Short Distance Travel," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-9, February.
    12. Gan, Zuoxian & Yang, Min & Zeng, Qingcheng & Timmermans, Harry J.P., 2021. "Associations between built environment, perceived walkability/bikeability and metro transfer patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 171-187.
    13. Barff, Richard & MacKay, David & Olshavsky, Richard W, 1982. "A Selective Review of Travel-Mode Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 370-380, March.
    14. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    15. Abdullah, Muhammad & Ali, Nazam & Hussain, Syed Arif & Aslam, Atif Bilal & Javid, Muhammad Ashraf, 2021. "Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan," Transport Policy, Elsevier, vol. 108(C), pages 21-33.
    16. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    17. Laura McCarthy & Alexa Delbosc & Graham Currie & Andrew Molloy, 2017. "Factors influencing travel mode choice among families with young children (aged 0–4): a review of the literature," Transport Reviews, Taylor & Francis Journals, vol. 37(6), pages 767-781, November.
    18. Moshiri, Saeed, 2020. "Consumer responses to gasoline price and non-price policies," Energy Policy, Elsevier, vol. 137(C).
    19. Line, Tilly & Chatterjee, Kiron & Lyons, Glenn, 2010. "The travel behaviour intentions of young people in the context of climate change," Journal of Transport Geography, Elsevier, vol. 18(2), pages 238-246.
    20. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    21. Christin Hoffmann & Charles Abraham & Mathew P. White & Susan Ball & Stephen M. Skippon, 2017. "What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 631-652, September.
    22. Prawira Belgiawan & Jan-Dirk Schmöcker & Maya Abou-Zeid & Joan Walker & Tzu-Chang Lee & Dick Ettema & Satoshi Fujii, 2014. "Car ownership motivations among undergraduate students in China, Indonesia, Japan, Lebanon, Netherlands, Taiwan, and USA," Transportation, Springer, vol. 41(6), pages 1227-1244, November.
    23. David A. Hensher & John M. Rose & Waiyan Leong & Alejandro Tirachini & Zheng Li, 2013. "Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 92-106, January.
    24. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    25. Limanond, Thirayoot & Butsingkorn, Tanissara & Chermkhunthod, Chutima, 2011. "Travel behavior of university students who live on campus: A case study of a rural university in Asia," Transport Policy, Elsevier, vol. 18(1), pages 163-171, January.
    26. Kaniz Fatima & Sara Moridpour & Chris De Gruyter & Tayebeh Saghapour, 2020. "Elderly Sustainable Mobility: Scientific Paper Review," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    27. Shannon, Tya & Giles-Corti, Billie & Pikora, Terri & Bulsara, Max & Shilton, Trevor & Bull, Fiona, 2006. "Active commuting in a university setting: Assessing commuting habits and potential for modal change," Transport Policy, Elsevier, vol. 13(3), pages 240-253, May.
    28. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bagdatli, Muhammed Emin Cihangir & Ipek, Fatima, 2022. "Transport mode preferences of university students in post-COVID-19 pandemic," Transport Policy, Elsevier, vol. 118(C), pages 20-32.
    2. Jiangping Zhou & Yin Wang & Jiangyue Wu, 2018. "Mode Choice of Commuter Students in a College Town: An Exploratory Study from the United States," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    3. Sottile, Eleonora & Tuveri, Giovanni & Piras, Francesco & Meloni, Italo, 2022. "Modelling commuting tours versus non-commuting tours for university students. A panel data analysis from different contexts," Transport Policy, Elsevier, vol. 118(C), pages 56-67.
    4. Zhou, Yuyang & Wang, Peiyu & Zheng, Shuyan & Zhao, Minhe & Lam, William H.K. & Chen, Anthony & Sze, N.N. & Chen, Yanyan, 2024. "Modeling dynamic travel mode choices using cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    5. Khaled Assi & Uneb Gazder & Ibrahim Al-Sghan & Imran Reza & Abdullah Almubarak, 2020. "A Nested Ensemble Approach with ANNs to Investigate the Effect of Socioeconomic Attributes on Active Commuting of University Students," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
    6. Eccarius, Timo & Leung, Abraham & Shen, Chung-Wei & Burke, Matthew & Lu, Chung-Cheng, 2021. "Prospects for shared electric velomobility: Profiling potential adopters at a multi-campus university," Journal of Transport Geography, Elsevier, vol. 96(C).
    7. Hasnine, Md Sami & Lin, TianYang & Weiss, Adam & Habib, Khandker Nurul, 2018. "Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto," Journal of Transport Geography, Elsevier, vol. 70(C), pages 161-171.
    8. Aghaabbasi, Mahdi & Shekari, Zohreh Asadi & Shah, Muhammad Zaly & Olakunle, Oloruntobi & Armaghani, Danial Jahed & Moeinaddini, Mehdi, 2020. "Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 262-281.
    9. Hidalgo-González, Cristina & Rodríguez-Fernández, M Pilar & Pérez-Neira, David, 2022. "Energy consumption in university commuting: Barriers, policies and reduction scenarios in León (Spain)," Transport Policy, Elsevier, vol. 116(C), pages 48-57.
    10. Cadima, Catarina & Silva, Cecília & Pinho, Paulo, 2020. "Changing student mobility behaviour under financial crisis: Lessons from a case study in the Oporto University," Journal of Transport Geography, Elsevier, vol. 87(C).
    11. Zhao, Chunli & Xue, Mengtian & Hamidi, Zahra, 2024. "Potential of demand responsive transport for young people in Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    12. Mohammadzadeh, Mohsen, 2020. "Exploring tertiary students' travel mode choices in Auckland: Insights and policy implications," Journal of Transport Geography, Elsevier, vol. 87(C).
    13. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    14. Minh Hieu Nguyen & Dorina Pojani, 2023. "Why are Hanoi students giving up on bus ridership?," Transportation, Springer, vol. 50(3), pages 811-835, June.
    15. Zhan, Guangjun & Yan, Xuedong & Zhu, Shanjiang & Wang, Yun, 2016. "Using hierarchical tree-based regression model to examine university student travel frequency and mode choice patterns in China," Transport Policy, Elsevier, vol. 45(C), pages 55-65.
    16. Mattia Cattaneo & Paolo Malighetti & Stefano Paleari & Renato Redondi, 2015. "Evolution of long distance students? mobility: the role of transport infrastructures in Italy," ERSA conference papers ersa15p1231, European Regional Science Association.
    17. Marco De Angelis & Luca Mantecchini & Luca Pietrantoni, 2021. "A Cluster Analysis of University Commuters: Attitudes, Personal Norms and Constraints, and Travel Satisfaction," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    18. Hossain, Sanjana & Loa, Patrick & Ong, Felita & Habib, Khandker Nurul, 2022. "The determinants of commute mode usage frequency of post-secondary students in the Greater Toronto and Hamilton Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 164-185.
    19. Aleksandra Romanowska & Romanika Okraszewska & Kazimierz Jamroz, 2019. "A Study of Transport Behaviour of Academic Communities," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    20. Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:105:y:2022:i:c:s0966692322001843. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.