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Carsharing and the Built Environment: A GIS-Based Study of One U.S. Operator

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  • Stillwater, Tai
  • Mokhtarian, Patricia L
  • Shaheen, Susan

Abstract

The use of carsharing vehicles over a period of 16 months in 2006-07 was compared to built environment and demographic factors in this GIS-based multivariate regression study of an urban U.S. carsharing operator. Carsharing is a relatively new transportation industry in which companies provide members with short-term vehicle access from distributed neighborhood locations. The number of registered carsharing members in North America has doubled every year or two to a current level of approximately 320,000. Researchers have long supposed that public transit access is a key factor driving demand for carsharing. The results of this study, however, find an ambiguous relationship between the activity at carsharing locations and public transit access. Light rail availability is found to have a significant and positive relationship to carsharing demand. Regional rai! l availability is found to be weakly and negatively associated with carsharing demand, although limitations in the available data make it impossible to ascribe the observed difference to user demand, random variation, or other factors specific to the industry.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsdav:qt2wj7q6cm
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    References listed on IDEAS

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    1. Prettenthaler, Franz E. & Steininger, Karl W., 1999. "From ownership to service use lifestyle: the potential of car sharing," Ecological Economics, Elsevier, vol. 28(3), pages 443-453, March.
    2. repec:cdl:uctcwp:qt4gx4m05b is not listed on IDEAS
    3. repec:cdl:itsrrp:qt8m2060r1 is not listed on IDEAS
    4. repec:cdl:itsdav:qt8m2060r1 is not listed on IDEAS
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    Citations

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    Cited by:

    1. 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.
    2. Efthymiou, Dimitrios & Antoniou, Constantinos, 2016. "Modeling the propensity to join carsharing using hybrid choice models and mixed survey data," Transport Policy, Elsevier, vol. 51(C), pages 143-149.
    3. Johannes Müller & Gonçalo Homem de Almeida Correia & Klaus Bogenberger, 2017. "An Explanatory Model Approach for the Spatial Distribution of Free-Floating Carsharing Bookings: A Case-Study of German Cities," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    4. 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.
    5. 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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