Public Transport

, Volume 11, Issue 1, pp 111–133 | Cite as

An econometric investigation of the influence of transit passes on transit users’ behavior in Toronto

  • Khandker Nurul HabibEmail author
  • Sami Hasnine
Original Paper


The paper presents the results of an empirical investigation of the influence of transit pass ownership on daily transit service usage behavior under a flat fare system. The transit system of the City of Toronto is investigated to evaluate the factors that influence the choice of owning a transit pass and at the same time whether or not a pass ownership influences different transit ridership behavior. Data from a household travel survey are used to estimate a joint econometric model of the choice of owning a transit pass as a function of benefits/utility drawn from daily transit usage (trip rate and distance travel) along with different socio-economic and land-use variables. Results clearly show that a transit pass has a profound and segmenting influence on ridership behavior in terms of the daily frequency of transit trips and the total distance travel by transit. Non-pass owners seem to draw higher utility from daily transit usage than the pass owners. Pass owners seem to have utility of owning a pass over and above the utility drawn from the daily use of the transit service. A transit pass is often considered as a mobility tool, but this investigation clearly shows an empirical evidence of it. The results suggest that it works for small-size families, people with work/student status, high income and places where compact development makes transit service competitive to other modes of transportation. Empirical results show the influence of different variables can be exploited to cater to various policies that may encourage higher pass ownership rate and thereby reduce demand for private automobiles.


Transit ridership Travel distance Transit pass ownership Count variable model Ordered generalized extreme value (OGEV) model Joint OGEV-continuous model 



This research was funded by an NSERC Discovery Grant. The authors acknowledge the help of Metrolinx for providing a portion of level-of-service attributes. Data Management Group allowed access to the TTS data for this research. Work with Herman Hui on the preliminary data analysis and GIS mapping is also gratefully acknowledged. However, the authors are solely responsible for all comments and interpretations within this paper.


  1. Aptech 2016. GAUSS.
  2. Badoe DA, Yendeti MK (2007) Impact of transit-pass ownership on daily number of trips made by urban public transit. J Urban Plan Dev 133(4):242–249CrossRefGoogle Scholar
  3. Bhat CR (1998) Analysis of travel mode and departure time choice for urban shopping trips. Transp Res Part B 32(6):361–371CrossRefGoogle Scholar
  4. Data Management Group (DMG) (2011) Transportation tomorrow survey. Accessed Jul 2016
  5. Farber A, Bartholomew K, Li X, Paez A, Habib KMN (2014) Social equity in distance based transit fares using a model of travel behavior. Transp Res Part A Policy Pract 67:297–303CrossRefGoogle Scholar
  6. Habib KMN (2012) Modelling commuting mode choice jointly with work start time and work duration. Transp Res Part A 46:33–47Google Scholar
  7. Habib KMN, Han X, Lin WH (2013) Joint modelling of propensity and distance for walk trip generation. Transportmetr Part A 10(5):420–436Google Scholar
  8. Lee L-F (1983) Generalized econometric models with selectivity. Econometrica 51(2):507–512CrossRefGoogle Scholar
  9. Paleti R (2016) Generalized extreme value models for count data: application to worker telecommuting frequency choices. Transp Res Part B 83:104–120CrossRefGoogle Scholar
  10. Small K (1987) A discrete choice model for ordered alternatives. Econometrica 55(2):409–424CrossRefGoogle Scholar
  11. Tsai FM, Chien S, Spasovic L (2008) Optimizing distance-based fares and headway of an intercity transportation system with elastic demand and trip length differentiation. Transp Res Rec 2089:101–109CrossRefGoogle Scholar
  12. Vance C, Peistrup M (2012) She’s got a ticket to ride: gender and public transit passes. Transportation 39(6):1105–1119CrossRefGoogle Scholar
  13. WalkScore (2014) New ranking of best US Cities for public transit. Best Canadian Cities for Public Transit. Accessed Jul 2016

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of TorontoTorontoCanada

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