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The determinants of commute mode usage frequency of post-secondary students in the Greater Toronto and Hamilton Area

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  • Hossain, Sanjana
  • Loa, Patrick
  • Ong, Felita
  • Habib, Khandker Nurul

Abstract

An important aspect of post-secondary student travel behaviour is their commute mode usage frequencies. How frequently students use different transportation modes for their daily travel directly characterizes their habits, routines, and predispositions, which can ultimately affect long-term social welfare of the region, congestion of the transportation network, and fuel consumption. Thus, obtaining an in-depth and unbiased understanding of the various factors influencing this travel behavior is key to the sustainable transportation development of a region. Existing studies on this topic are not comprehensive enough in terms of the types of commute modes analyzed and most of them relied on relatively small samples for their investigation. This paper attempts to address the gap by modelling the influence of personal and household socio-demographic attributes, the built environment, commute characteristics, and personal attitudes of the students on the monthly usage frequency of five different types of commute modes (auto, transit, ride-hailing, bicycle, and walk). It uses data from a large-scale student travel survey conducted among 10 post-secondary institutions in the Greater Toronto and Hamilton Area. The study makes use of a sophisticated modelling approach, consisting of a multiple indicators multiple causes model and a zero-inflated ordered probit model to analyze the factors affecting the decision to use and the usage frequency of the exhaustive set of commute modes. The findings emphasize the importance of commute distance, available resources (in terms of mobility tools, living situation, household vehicles, and income), and built environment attributes in the usage frequency of different commute modes. Marginal effects are used to inform actionable policy recommendations for both the institutions and the regional municipalities. The recommendations include offering discounted and promotional transit passes to encourage students to use public transit frequently, increasing the capacity of student housing and enhancing the sidewalk and bicycle infrastructure within 3–5 km of the campus locations, and increasing the transit accessibility of the institutions by establishing subway stops in proximity to the campuses. These recommendations, when implemented, will help to adequately meet the travel needs of the students while also improving their overall campus life experience.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:166:y:2022:i:c:p:164-185
    DOI: 10.1016/j.tra.2022.10.010
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    References listed on IDEAS

    as
    1. Nurul Habib, Khandker, 2018. "Modelling the choice and timing of acquiring a driver’s license: Revelations from a hazard model applied to the University students in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 374-386.
    2. Mohammad Hesam Hafezi & Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2018. "Daily activity and travel sequences of students, faculty and staff at a large Canadian university," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(5), pages 536-556, July.
    3. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, September.
    4. Francisco J. Bahamonde-Birke & Uwe Kunert & Heike Link & Juan de Dios Ortúzar, 2017. "About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models," Transportation, Springer, vol. 44(3), pages 475-493, May.
    5. Delmelle, Eric M. & Delmelle, Elizabeth Cahill, 2012. "Exploring spatio-temporal commuting patterns in a university environment," Transport Policy, Elsevier, vol. 21(C), pages 1-9.
    6. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan, 2016. "Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco," Transport Policy, Elsevier, vol. 45(C), pages 168-178.
    7. Kevin Manaugh & Geneviève Boisjoly & Ahmed El-Geneidy, 2017. "Overcoming barriers to cycling: understanding frequency of cycling in a University setting and the factors preventing commuters from cycling on a regular basis," Transportation, Springer, vol. 44(4), pages 871-884, July.
    8. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    9. Coutts, Steven & Aird, Bria & Mitra, Raktim & Siemiatycki, Matti, 2018. "Does commute influence post-secondary Students' social capital? A study of campus participation at four universities in Toronto, Canada," Journal of Transport Geography, Elsevier, vol. 70(C), pages 172-181.
    10. 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.
    11. 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.
    12. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    13. 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.
    14. 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.
    15. 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.
    16. Wang, Chih-Hao & Akar, Gulsah & Guldmann, Jean-Michel, 2015. "Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University," Journal of Transport Geography, Elsevier, vol. 42(C), pages 122-130.
    17. 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.
    18. 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.
    19. Xueming Chen, 2012. "Statistical and activity-based modeling of university student travel behavior," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 591-610, March.
    20. Aoun, Alisar & Abou-Zeid, Maya & Kaysi, Isam & Myntti, Cynthia, 2013. "Reducing parking demand and traffic congestion at the American University of Beirut," Transport Policy, Elsevier, vol. 25(C), pages 52-60.
    21. Loa, Patrick & Nurul Habib, Khandker, 2021. "Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 13-28.
    22. 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.
    23. Rana Tarabay & Maya Abou-Zeid, 2020. "Modeling the choice to switch from traditional modes to ridesourcing services for social/recreational trips in Lebanon," Transportation, Springer, vol. 47(4), pages 1733-1763, August.
    24. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2016. "Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area," Transportation, Springer, vol. 43(4), pages 601-621, July.
    25. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    26. 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.
    27. Habib, Khandker Nurul & Weiss, Adam & Hasnine, Sami, 2018. "On the heterogeneity and substitution patterns in mobility tool ownership choices of post-secondary students: The case of Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 650-665.
    28. Yuanyuan Zhang & Yuming Zhang, 2018. "Exploring the Relationship between Ridesharing and Public Transit Use in the United States," IJERPH, MDPI, vol. 15(8), pages 1-23, August.
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