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The Potential Demand for Carsharing by University Students: An Italian Case Study

Author

Listed:
  • Romeo Danielis
  • Lucia Rotaris
  • Andrea Rusich
  • Eva Valeri

Abstract

The paper presents a methodology to estimate the potential demand for carsharing by university students. The methodology is based on three surveys: a paper-and-pencil questionnaire; a detailed computer-assisted personal interview, and a contingent valuation interview. The data collected are used to operationalize a model that estimates the generalized cost under alternative scenarios, with and without carsharing. A Monte Carlo simulation procedure is used to estimate the probability that a person would use carsharing. The methodology has been tested with students enrolled at the University of Trieste. The main finding is that, under the prevailing conditions, a quite large number of the sample students (32%) would benefit in terms of generalised cost from the use of carsharing if a private car were unavailable. The model is also used to perform scenario analysis.

Suggested Citation

  • Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2016. "The Potential Demand for Carsharing by University Students: An Italian Case Study," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2016(1), pages 77-99.
    • Handle: RePEc:fan:scresc:v:html10.3280/scre2016-001004
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    Citations

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    Cited by:

    1. Shichao Sun & Yuanqian Liu & Yukun Yao & Zhengyu Duan & Xiaokun Wang, 2021. "The Determinants to Promote College Students’ Use of Car-Sharing: An Empirical Study at Dalian Maritime University, China," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    2. Leiming Li & Yu Zhang, 2023. "An extended theory of planned behavior to explain the intention to use carsharing: a multi-group analysis of different sociodemographic characteristics," Transportation, Springer, vol. 50(1), pages 143-181, February.
    3. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).
    4. Rotaris, Lucia & Danielis, Romeo & Maltese, Ila, 2019. "Carsharing use by college students: The case of Milan and Rome," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 239-251.

    More about this item

    Keywords

    Carsharing; stima di domanda; Monte Carlo simulation.;
    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
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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