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The rise and fall of transit ridership across Canada: Understanding the determinants

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  • Diab, Ehab
  • Kasraian, Dena
  • Miller, Eric J.
  • Shalaby, Amer

Abstract

Recently, there have been growing concerns about the negative impacts of rising automobile use and road congestion on personal mobility, safety, air quality and climate change. To address these issues, special attention has been given to improving and expanding transit services in order to attract new riders and retain existing ones. Despite these efforts, transit ridership across Canada has been levelling-off and, in many cases, declining over the past few years. The goal of this study is to provide an empirical investigation of variables that affect variations in transit ridership among transit systems and over time. To achieve this goal, the study used a comprehensive longitudinal dataset of different factors collected from 103 transit agencies in Canada between 2002 and 2016. Two-stage least square (2SLS) models were developed for the purpose of the study. The results suggest that transit ridership (in terms of number of linked trips) in Canada is associated with several factors that differ according to transit agency size. These factors include built environment and socioeconomic aspects in addition to transit supply attributes. Additionally, ride-sharing systems (i.e., Uber service) have a mixed impact on ridership that varies according to the size of transit system. The presence of Uber within large transit agencies service areas is shown to have a small positive impact on ridership, while it is negatively associated with ridership for small transit agencies. This paper provides policy makers and planners with useful policy-relevant information related to the association between different factors and transit ridership.

Suggested Citation

  • Diab, Ehab & Kasraian, Dena & Miller, Eric J. & Shalaby, Amer, 2020. "The rise and fall of transit ridership across Canada: Understanding the determinants," Transport Policy, Elsevier, vol. 96(C), pages 101-112.
    • Handle: RePEc:eee:trapol:v:96:y:2020:i:c:p:101-112
    DOI: 10.1016/j.tranpol.2020.07.002
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    5. Xin, Mengwei & Shalaby, Amer & Feng, Shumin & Zhao, Hu, 2021. "Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method," Transport Policy, Elsevier, vol. 111(C), pages 1-16.
    6. Matthew Palm & Jeff Allen & Yixue Zhang & Ignacio Tiznado-Aitken & Brice Batomen & Steven Farber & Michael Widener, 2024. "Facing the future of transit ridership: shifting attitudes towards public transit and auto ownership among transit riders during COVID-19," Transportation, Springer, vol. 51(2), pages 645-671, April.
    7. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Brands, Ties & van Oort, Niels & Teller, David, 2021. "Multi-city exploration of built environment and transit mode use: Comparison of Melbourne, Amsterdam and Boston," Journal of Transport Geography, Elsevier, vol. 95(C).
    8. Chakrabarti, Sandip, 2022. "Passively wait for gridlock, or proactively invest in service? Strategies to promote car-to-transit switches among aspirational urbanites in rapidly developing contexts," Transport Policy, Elsevier, vol. 115(C), pages 251-261.
    9. Yaiza Montero-Lamas & Alfonso Orro & Margarita Novales & Francisco-Alberto Varela-García, 2022. "Analysis of the Relationship between the Characteristics of the Areas of Influence of Bus Stops and the Decrease in Ridership during COVID-19 Lockdowns," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    10. Pereira, Rafael H. M. & Herszenhut, Daniel & Saraiva, Marcus & Farber, Steven, 2023. "Ride-hailing and transit accessibility considering the trade-off between time and money," OSF Preprints pesjk, Center for Open Science.
    11. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).

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