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She’s got a ticket to ride: gender and public transit passes

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  • Colin Vance
  • Matthias Peistrup

Abstract

Drawing on a household survey spanning 1997–2007 from Germany, this analysis investigates the decision to purchase a weekly or monthly transit pass against the backdrop of two questions: (1) Does gender play a role in determining the probability that an individual owns a pass? (2) If so, how is this role mitigated or exacerbated by other socioeconomic attributes of the individual and the household in which they reside? These questions are pursued through a combination of descriptive analyses and econometric methods, the latter of which relies on variants of the probit- and heteroskedastic probit model to control for the effects of unobserved heterogeneity that could otherwise induce biased estimates. The model uncovers several determinants of transit pass patronage over which policy makers have direct leverage, including fuel prices, the siting of transit stops, and the density of transit service. Moreover, while women are found to have a higher probability of owning a transit pass than men, the model identifies few variables whose impact differs according to gender, with the two exceptions being the number of children in the household and the distance to work. This absence of differential effects implies that policy measures to increase ridership are likely to have a roughly uniform impact among women and men. Copyright Springer Science+Business Media, LLC. 2012

Suggested Citation

  • Colin Vance & Matthias Peistrup, 2012. "She’s got a ticket to ride: gender and public transit passes," Transportation, Springer, vol. 39(6), pages 1105-1119, November.
    • Handle: RePEc:kap:transp:v:39:y:2012:i:6:p:1105-1119
    DOI: 10.1007/s11116-011-9381-6
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    References listed on IDEAS

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    1. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    2. Rosenbloom, Sandra & Burns, Elizabeth, 1994. "Why Working Women Drive Alone: Implications for Travel Reduction Programs," University of California Transportation Center, Working Papers qt4x17v3f1, University of California Transportation Center.
    3. Frondel, Manuel & Vance, Colin, 2010. "Driving for fun? Comparing the effect of fuel prices on weekday and weekend fuel consumption," Energy Economics, Elsevier, vol. 32(1), pages 102-109, January.
    4. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
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    Cited by:

    1. Khandker Nurul Habib & Sami Hasnine, 2019. "An econometric investigation of the influence of transit passes on transit users’ behavior in Toronto," Public Transport, Springer, vol. 11(1), pages 111-133, June.
    2. Voss, Achim, 2015. "Collective public-transport tickets and anticipated majority choice: A model of student tickets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 263-276.
    3. Hasselwander, Marc & Bigotte, Joao F. & Antunes, Antonio P. & Sigua, Ricardo G., 2022. "Towards sustainable transport in developing countries: Preliminary findings on the demand for mobility-as-a-service (MaaS) in Metro Manila," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 501-518.
    4. 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.
    5. Maciejewska, Monika & Marquet, Oriol & Miralles-Guasch, Carme, 2019. "Changes in gendered mobility patterns in the context of the Great Recession (2007–2012)," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.

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