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Exploring the correlation between ride-hailing and multimodal transit ridership in toronto

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Abstract

Ride-hailing (RH) services have been growing rapidly and gaining popularity worldwide. However, many transit agencies are experiencing ridership stagnation or even decline. Understanding the correlation between RH trips and transit ridership has become an urgently important matter for transit agencies. This study aimed to explore the relationship between RH and public transit ridership and provide a starting point for future studies. This study benefitted from having access to detailed data on trip-level RH trips, transit supply and transit ridership in Toronto for three years (2016–2018). With this dataset, the study utilized random-effects panel data models and log–log regression models to estimate the correlation of RH pickup/drop-off counts with subway station and surface transit route (buses and streetcars) ridership within transit catchment areas, broken down into five different periods of a non-summer weekday. The results show that RH services generally have a positive association with subway station ridership while negatively correlating with surface transit route ridership. The positive relationship between RH and subway station ridership is the strongest during the mid-day and early evening. In contrast, the negative relationship between surface transit routes and RH ridership is the highest during peak commuting hours. Additionally, RH trip volume is more positively related to ridership at terminal/transfer subway stations in Toronto’s city centre while more negatively associated with routes with relatively poor services (e.g., low on-time performance, low vehicle running speed and low frequency) in the city centre where traffic congestion can be severe. According to the above findings, the degree of the relationship between RH and public transit demand tends to be mixed, varying by transit mode, time of day and transit level-of-service. The gained knowledge about RH and transit can provide insights for transit agencies to improve transit services, which are discussed in this paper.

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Acknowledgments

This study was partially funded by the City of Toronto through a research contract. The study was possible because RH companies shared RH trip records and the TTC provided the transit ridership and supply information. The authors are responsible for all the results, interpretations and conclusions.

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Authors and Affiliations

  1. Department of Civil and Mineral Engineering, University of Toronto, 35 St. George Street, Toronto, M5S 1A4, Canada

    Wenting Li, Amer Shalaby & Khandker Nurul Habib

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  1. Wenting Li
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  2. Amer Shalaby
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  3. Khandker Nurul Habib
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Contributions

The authors confirm contribution to the paper as follows: study conception and design: Amer Shalaby and Khandker Nurul Habib; data compilation: Wenting Li; analysis and interpretation of results: all authors; draft manuscript preparation: Wenting Li, Amer Shalaby and Khandker Nurul Habib. All authors reviewed the results and approved the final version of the manuscript.

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Correspondence to Amer Shalaby.

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Li, W., Shalaby, A. & Habib, K.N. Exploring the correlation between ride-hailing and multimodal transit ridership in toronto. Transportation 49, 765–789 (2022). https://doi.org/10.1007/s11116-021-10193-5

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