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Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems

Author

Listed:
  • Seign, René
  • Schüßler, Maximilian
  • Bogenberger, Klaus

Abstract

Free-floating carsharing systems with (and without) electric vehicles are emerging and there is limited knowledge where such concepts will succeed, regardless of their environmental benefits. Within this knowledge gap, the definition of the business/operating area is a key aspect. Inside this area a carsharing vehicle can be picked-up and dropped-off everywhere at any time. This research develops a model that helps to determine business areas a-priori by predicting inner-city booking hot-spots. The approach is based on modeling success factors as independent variables, namely population density, housing rent, city center distance, and hotel/restaurant density. With the help of these variables predictions for geographic zones in cities are made that prove to be helpful for designing operating areas for free-floating carsharing systems – a key challenge for providers' success when approaching new cities.

Suggested Citation

  • Seign, René & Schüßler, Maximilian & Bogenberger, Klaus, 2015. "Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems," Research in Transportation Economics, Elsevier, vol. 51(C), pages 104-114.
    • Handle: RePEc:eee:retrec:v:51:y:2015:i:c:p:104-114
    DOI: 10.1016/j.retrec.2015.10.012
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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.
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    3. Stillwater, Tai & Mokhtarian, Patricia L & Shaheen, Susan A, 2009. "Carsharing and the Built Environment: Geographic- Information System-Based Study of One U.S Operator," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6dw9d79z, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Guo, Peng & Chen, Zhihua & Yang, Yang & Miao, Rui, 2024. "A multistage simulation-optimization-integrated methodology framework for user-oriented electric vehicle carsharing reallocation under dynamic price subsidy," Energy, Elsevier, vol. 290(C).
    2. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).

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    More about this item

    Keywords

    Carsharing; Free-floating; Flexible; Operating area; Business area; Success factors;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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