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Transport mode preferences of university students in post-COVID-19 pandemic

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  • Bagdatli, Muhammed Emin Cihangir
  • Ipek, Fatima

Abstract

The COVID-19 outbreak very quickly disrupted the order of human beings. While many sectors have been trying to cope with the ongoing COVID-19 process, they have also been trying to plan the new process for after the pandemic. Transport is one of the sectors most affected by the pandemic and it is necessary to produce the right political formulations for the post-pandemic period. For this reason, it is necessary to carefully examine the changing user demands in various segments of society due to COVID-19 and reveal effective post-pandemic transport policies. This study contributes to this requirement. Accordingly, this study investigated the transport mode preferences of university students in post-pandemic period in Istanbul, one of the important metropolises of the world, via the use of a survey. The reason for university students were focused on was that the mobility of university students is very high and in addition, they are more flexible than other age groups in using different transport modes. The main findings obtained from the study show that there will be a significant change in demand in transport modes after the pandemic. In particular, while a critical decrease may be observed in the travel demand for public buses, shared minibuses and LRT in public transport in post-pandemic period, a high increase in demand for private car use is highly probable. In addition, the research results indicate that COVID-19 can cause an increase in use of e-scooter/hoverboard and active travel modes. The results obtained through the statistical analysis and the discussions based on these results can make a significant contribution to the post-pandemic transport policies of cities with high university student populations and various transport modes, such as Istanbul.

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  • 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.
    • Handle: RePEc:eee:trapol:v:118:y:2022:i:c:p:20-32
    DOI: 10.1016/j.tranpol.2022.01.017
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    1. Grotenhuis, Jan-Willem & Wiegmans, Bart W. & Rietveld, Piet, 2007. "The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings," Transport Policy, Elsevier, vol. 14(1), pages 27-38, January.
    2. Harbering, Marie & Schlüter, Jan, 2020. "Determinants of transport mode choice in metropolitan areas the case of the metropolitan area of the Valley of Mexico," Journal of Transport Geography, Elsevier, vol. 87(C).
    3. Basu, Rounaq & Ferreira, Joseph, 2021. "Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19," Transport Policy, Elsevier, vol. 103(C), pages 197-210.
    4. Nakamura, Hiroki & Abe, Naoya, 2014. "Evaluation of the hybrid model of public bicycle-sharing operation and private bicycle parking management," Transport Policy, Elsevier, vol. 35(C), pages 31-41.
    5. Nash, Sean & Mitra, Raktim, 2019. "University students' transportation patterns, and the role of neighbourhood types and attitudes," Journal of Transport Geography, Elsevier, vol. 76(C), pages 200-211.
    6. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    7. Meng, Meng & Rau, Andreas & Mahardhika, Hita, 2018. "Public transport travel time perception: Effects of socioeconomic characteristics, trip characteristics and facility usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 24-37.
    8. Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
    9. 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).
    10. Zhang, Runsen & Zhang, Junyi, 2021. "Long-term pathways to deep decarbonization of the transport sector in the post-COVID world," Transport Policy, Elsevier, vol. 110(C), pages 28-36.
    11. Eisenmann, Christine & Nobis, Claudia & Kolarova, Viktoriya & Lenz, Barbara & Winkler, Christian, 2021. "Transport mode use during the COVID-19 lockdown period in Germany: The car became more important, public transport lost ground," Transport Policy, Elsevier, vol. 103(C), pages 60-67.
    12. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    13. Vandenbulcke, Grégory & Thomas, Isabelle & de Geus, Bas & Degraeuwe, Bart & Torfs, Rudi & Meeusen, Romain & Int Panis, Luc, 2009. "Mapping bicycle use and the risk of accidents for commuters who cycle to work in Belgium," Transport Policy, Elsevier, vol. 16(2), pages 77-87, March.
    14. Bagchi, M. & White, P.R., 2005. "The potential of public transport smart card data," Transport Policy, Elsevier, vol. 12(5), pages 464-474, September.
    15. 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.
    16. Rybarczyk, Greg & Gallagher, Laura, 2014. "Measuring the potential for bicycling and walking at a metropolitan commuter university," Journal of Transport Geography, Elsevier, vol. 39(C), pages 1-10.
    17. Chakrabarti, Sandip, 2017. "How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles," Transport Policy, Elsevier, vol. 54(C), pages 80-89.
    18. Simons, Dorien & Clarys, Peter & De Bourdeaudhuij, Ilse & de Geus, Bas & Vandelanotte, Corneel & Deforche, Benedicte, 2014. "Why do young adults choose different transport modes? A focus group study," Transport Policy, Elsevier, vol. 36(C), pages 151-159.
    19. 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.
    20. Busch-Geertsema, Annika & Lanzendorf, Martin & Klinner, Nora, 2021. "Making public transport irresistible? The introduction of a free public transport ticket for state employees and its effects on mode use," Transport Policy, Elsevier, vol. 106(C), pages 249-261.
    21. Nordfjærn, Trond & Egset, Kaja Solland & Mehdizadeh, Milad, 2019. "“Winter is coming”: Psychological and situational factors affecting transportation mode use among university students," Transport Policy, Elsevier, vol. 81(C), pages 45-53.
    22. Michael Grimsrud & Ahmed El-Geneidy, 2014. "Transit to eternal youth: lifecycle and generational trends in Greater Montreal public transport mode share," Transportation, Springer, vol. 41(1), pages 1-19, January.
    23. Echaniz, Eneko & Rodríguez, Andrés & Cordera, Rubén & Benavente, Juan & Alonso, Borja & Sañudo, Roberto, 2021. "Behavioural changes in transport and future repercussions of the COVID-19 outbreak in Spain," Transport Policy, Elsevier, vol. 111(C), pages 38-52.
    24. Awad-Núñez, Samir & Julio, Raky & Moya-Gómez, Borja & Gomez, Juan & Sastre González, Julián, 2021. "Acceptability of sustainable mobility policies under a post-COVID-19 scenario. Evidence from Spain," Transport Policy, Elsevier, vol. 106(C), pages 205-214.
    25. Parker, Madeleine E.G. & Li, Meiqing & Bouzaghrane, Mohamed Amine & Obeid, Hassan & Hayes, Drake & Frick, Karen Trapenberg & Rodríguez, Daniel A. & Sengupta, Raja & Walker, Joan & Chatman, Daniel G., 2021. "Public transit use in the United States in the era of COVID-19: Transit riders’ travel behavior in the COVID-19 impact and recovery period," Transport Policy, Elsevier, vol. 111(C), pages 53-62.
    26. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    27. Thombre, Anurag & Agarwal, Amit, 2021. "A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity," Transport Policy, Elsevier, vol. 110(C), pages 335-353.
    28. Jonas De Vos & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2013. "Travel and Subjective Well-Being: A Focus on Findings, Methods and Future Research Needs," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 421-442, July.
    29. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    30. 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.
    31. 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.
    32. Ralph Buehler & John Pucher, 2021. "COVID-19 Impacts on Cycling, 2019–2020," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 393-400, July.
    33. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    34. Liu, Yunxia & Hong, Zaisheng & Liu, Yong, 2016. "Do driving restriction policies effectively motivate commuters to use public transportation?," Energy Policy, Elsevier, vol. 90(C), pages 253-261.
    35. Chen, Xiaohong & Guo, Yingjie & Yang, Chao & Ding, Fangyi & Yuan, Quan, 2021. "Exploring essential travel during COVID-19 quarantine: Evidence from China," Transport Policy, Elsevier, vol. 111(C), pages 90-97.
    36. Zhou, Jiangping, 2012. "Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1013-1029.
    37. 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.
    38. 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.
    39. Dong, Hongming & Ma, Shoufeng & Jia, Ning & Tian, Junfang, 2021. "Understanding public transport satisfaction in post COVID-19 pandemic," Transport Policy, Elsevier, vol. 101(C), pages 81-88.
    40. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    41. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    42. 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.
    43. Zhou, Jiangping, 2014. "From better understandings to proactive actions: Housing location and commuting mode choices among university students," Transport Policy, Elsevier, vol. 33(C), pages 166-175.
    44. Vickerman, Roger, 2021. "Will Covid-19 put the public back in public transport? A UK perspective," Transport Policy, Elsevier, vol. 103(C), pages 95-102.
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