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Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto

Author

Listed:
  • Young, Mischa
  • Allen, Jeff

    (University of Toronto)

  • Farber, Steven

Abstract

Policymakers in cities worldwide are trying to determine how ride-hailing services affect the ridership of traditional forms of public transportation. The level of convenience and comfort that these services provide is bound to take riders away from transit, but by operating in areas, or at times, when transit is less frequent, they may also be filling a gap left vacant by transit operations. These contradictory effects reveal why we should not merely categorize all ride-hailing services as a substitute or supplement to transit, and demonstrate the need to examine ride-hailing trips individually. Using data from the 2016 Transportation Tomorrow Survey in Toronto, we investigate the differences in travel-times between observed ride-hailing trips and their fastest transit alternatives. Ordinary least squares and ordered logistic regressions are used to uncover the characteristics that influence travel-time differences. We find that ride-hailing trips contained within the City of Toronto, pursued during peak hours, or for shopping purposes, are more likely to have transit alternatives of similar duration. Also, we find differences in travel-time often to be caused by transfers and lengthy walk- and wait-times for transit. Our results further indicate that 31% of ride-hailing trips in our sample have transit alternatives of similar duration (≤ 15 minute difference). These are particularly damaging for transit agencies as they compete directly with services that fall within reasonable expectations of transit service levels. We also find that 27% of ride-hailing trips would take at least 30 minutes longer by transit, evidence for significant gap-filling opportunity of ride-hailing services. In light of these findings, we discuss recommendations for ride-hailing taxation structures.

Suggested Citation

  • Young, Mischa & Allen, Jeff & Farber, Steven, 2019. "Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto," OSF Preprints hvbma, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:hvbma
    DOI: 10.31219/osf.io/hvbma
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    References listed on IDEAS

    as
    1. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    2. Jos� I. Castillo-Manzano & Lourdes Lopez-Valpuesta, 2014. "Can LCCs' economic efficiency create negative externalities for air transport? An analysis of passenger waiting time," Applied Economics Letters, Taylor & Francis Journals, vol. 21(13), pages 878-881, September.
    3. Young, Mischa & Farber, Steven, 2019. "The Who, Why, and When of Uber and other Ride-hailing Trips: An Examination of a Large Sample Household Travel Survey," OSF Preprints x7ryj, Center for Open Science.
    4. Raul Silveira Neto & Gisleia Duarte & Antonio Páez, 2015. "Gender and commuting time in São Paulo Metropolitan Region," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 298-313, February.
    5. Lawrence Frank & Mark Bradley & Sarah Kavage & James Chapman & T. Lawton, 2008. "Urban form, travel time, and cost relationships with tour complexity and mode choice," Transportation, Springer, vol. 35(1), pages 37-54, January.
    6. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    7. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
    8. Young, Mischa & Farber, Steven, 2019. "Ride-hailing platforms are shaping the future of mobility, but for whom?," OSF Preprints pz7fk, Center for Open Science.
    9. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
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    Cited by:

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    2. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).

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