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A behavioral choice model of the use of car-sharing and ride-sourcing services

Author

Listed:
  • Felipe F. Dias

    (The University of Texas at Austin)

  • Patrícia S. Lavieri

    (The University of Texas at Austin)

  • Venu M. Garikapati

    (National Renewable Energy Laboratory)

  • Sebastian Astroza

    (The University of Texas at Austin)

  • Ram M. Pendyala

    (Arizona State University)

  • Chandra R. Bhat

    (The University of Texas at Austin
    The Hong Kong Polytechnic University)

Abstract

There are a number of disruptive mobility services that are increasingly finding their way into the marketplace. Two key examples of such services are car-sharing services and ride-sourcing services. In an effort to better understand the influence of various exogenous socio-economic and demographic variables on the frequency of use of ride-sourcing and car-sharing services, this paper presents a bivariate ordered probit model estimated on a survey data set derived from the 2014–2015 Puget Sound Regional Travel Study. Model estimation results show that users of these services tend to be young, well-educated, higher-income, working individuals residing in higher-density areas. There are significant interaction effects reflecting the influence of children and the built environment on disruptive mobility service usage. The model developed in this paper provides key insights into factors affecting market penetration of these services, and can be integrated in larger travel forecasting model systems to better predict the adoption and use of mobility-on-demand services.

Suggested Citation

  • Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:6:d:10.1007_s11116-017-9797-8
    DOI: 10.1007/s11116-017-9797-8
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    References listed on IDEAS

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    1. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    2. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.
    3. Coll, Marie-Hélène & Vandersmissen, Marie-Hélène & Thériault, Marius, 2014. "Modeling spatio-temporal diffusion of carsharing membership in Québec City," Journal of Transport Geography, Elsevier, vol. 38(C), pages 22-37.
    4. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    5. 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.
    6. Richard H. M. Emmerink & Peter Nijkamp & Piet Rietveld & Jos N. Van Ommeren & Richard H. M. Emmerink & Peter Nijkamp & Piet Rietveld & Jos N. Van Ommeren, 2004. "Variable Message Signs and Radio Traffic Information: An Integrated Empirical Analysis of Drivers’ Route Choice Behaviour," Chapters, in: Location, Travel and Information Technology, chapter 16, pages 343-361, Edward Elgar Publishing.
    7. Clewlow, Regina R., 2016. "Carsharing and sustainable travel behavior: Results from the San Francisco Bay Area," Transport Policy, Elsevier, vol. 51(C), pages 158-164.
    8. Martin, Elliot W & Shaheen, Susan A, 2011. "Greenhouse Gas Emission Impacts of Carsharing in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6wr90040, Institute of Transportation Studies, UC Berkeley.
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