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Modelling users’ behaviour of a carsharing program: Application of a joint hazard and zero inflated dynamic ordered probability model

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  • Habib, Khandker M. Nurul
  • Morency, Catherine
  • Islam, Mohammed Tazul
  • Grasset, Vincent

Abstract

This paper presents an econometric model for the behaviour of carsharing users. The econometric model is developed to jointly forecast membership duration, the decision to become an active member in a particular month, and the frequency of monthly usage of active members. The model is estimated using the membership directory and monthly transaction data of a carsharing program, ‘Communauto Inc.’, based in Montréal, Canada. The model shows a high degree of fit to the observed dataset and provides many behavioural details of carsharing users. The results are instructive to carsharing planners in devising efficient policies.

Suggested Citation

  • Habib, Khandker M. Nurul & Morency, Catherine & Islam, Mohammed Tazul & Grasset, Vincent, 2012. "Modelling users’ behaviour of a carsharing program: Application of a joint hazard and zero inflated dynamic ordered probability model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 241-254.
  • Handle: RePEc:eee:transa:v:46:y:2012:i:2:p:241-254 DOI: 10.1016/j.tra.2011.09.019
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    References listed on IDEAS

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    1. Steininger, Karl & Vogl, Caroline & Zettl, Ralph, 1996. "Car-sharing organizations : The size of the market segment and revealed change in mobility behavior," Transport Policy, Elsevier, vol. 3(4), pages 177-185, October.
    2. Iliescu, Dan C. & Garrow, Laurie A. & Parker, Roger A., 2008. "A hazard model of US airline passengers' refund and exchange behavior," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 229-242, March.
    3. Shaheen, Susan A., 1999. "Dynamics in Behavioral Adaptation to a Transportation Innovation: A Case Study of Carlink-A Smart Carsharing System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9w53q5xq, Institute of Transportation Studies, UC Berkeley.
    4. Stillwater, Tai & Mokhtarian, Patricia L & Shaheen, Susan, 2008. "Carsharing and the Built Environment: A GIS-Based Study of One U.S. Operator," Institute of Transportation Studies, Working Paper Series qt2wj7q6cm, Institute of Transportation Studies, UC Davis.
    5. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
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    Cited by:

    1. repec:eee:transa:v:103:y:2017:i:c:p:362-376 is not listed on IDEAS
    2. Nourinejad, Mehdi & Roorda, Matthew J., 2014. "A dynamic carsharing decision support system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 36-50.
    3. Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
    4. Junhee Kang & Keeyeon Hwang & Sungjin Park, 2016. "Finding Factors that Influence Carsharing Usage: Case Study in Seoul," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-12, July.
    5. Wagner, Sebastian & Brandt, Tobias & Neumann, Dirk, 2016. "In free float: Developing Business Analytics support for carsharing providers," Omega, Elsevier, vol. 59(PA), pages 4-14.
    6. Schaefers, Tobias, 2013. "Exploring carsharing usage motives: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 69-77.
    7. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    8. de Luca, Stefano & Di Pace, Roberta, 2015. "Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 59-76.

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