IDEAS home Printed from https://ideas.repec.org/p/sit/wpaper/15_1.html
   My bibliography  Save this paper

The potential demand for carsharing from 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 from university students. The methodology is based on two surveys: a paper-and-pencil questionnaire and a detailed computer-assisted 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 the students enrolled at the University of Trieste. The main finding is that, under the prevailing conditions, 32% of the sample students would benefit in terms of generalised cost from the use of carsharing if private car was unavailable. The model is also used to perform scenario analysis.

Suggested Citation

  • Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2015. "The potential demand for carsharing from university students: an Italian case study," Working Papers 15_1, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    • Handle: RePEc:sit:wpaper:15_1
    as

    Download full text from publisher

    File URL: http://sietitalia.org/wpsiet/Danielis%20et%20al%20-%20carsharing.pdf
    File Function: First version,
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Stasko, Timon H. & Buck, Andrew B. & Oliver Gao, H., 2013. "Carsharing in a university setting: Impacts on vehicle ownership, parking demand, and mobility in Ithaca, NY," Transport Policy, Elsevier, vol. 30(C), pages 262-268.
    3. Catalano, Mario & Lo Casto, Barbara & Migliore, Marco, 2008. "Car sharing demand estimation and urban transport demand modelling using stated preference techniques," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 40, pages 33-50.
    4. Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2014. "Understanding The Demand For Carsharing: Lessons From Italian Case Studies," Articles, International Journal of Transport Economics, vol. 41(3).
    5. Romeo Danielis, Lucia Rotaris, Eva Valeri, 2012. "Carsharing for tourists," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 103-119.
    6. Michael Duncan, 2011. "The cost saving potential of carsharing in a US context," Transportation, Springer, vol. 38(2), pages 363-382, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Romeo Danielis & Lucia Rotaris & Andrea Rusich & Eva Valeri, 2015. "The potential demand for carsharing from university students: an Italian case study," Working Papers 1501, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    2. Zhou, Fan & Zheng, Zuduo & Whitehead, Jake & Washington, Simon & Perrons, Robert K. & Page, Lionel, 2020. "Preference heterogeneity in mode choice for car-sharing and shared automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 633-650.
    3. 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).
    4. Ivana Semanjski & Sidharta Gautama, 2016. "Forecasting the State of Health of Electric Vehicle Batteries to Evaluate the Viability of Car Sharing Practices," Energies, MDPI, vol. 9(12), pages 1-17, December.
    5. Vanduy Tran & Shengchuan Zhao & El Bachir Diop & Weiya Song, 2019. "Travelers’ Acceptance of Electric Carsharing Systems in Developing Countries: The Case of China," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
    6. 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.
    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. 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).
    9. Mark Peterson & Travis Simkins, 2019. "Consumers' processing of mindful commercial car sharing," Business Strategy and the Environment, Wiley Blackwell, vol. 28(3), pages 457-465, March.
    10. Qi Te & Chen Lianghua, 2020. "Carsharing: mitigation strategy for transport-related carbon footprint," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 791-818, May.
    11. Rotaris, Lucia & Danielis, Romeo, 2018. "The role for carsharing in medium to small-sized towns and in less-densely populated rural areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 49-62.
    12. Qi Te & Chen Lianghua, 0. "Carsharing: mitigation strategy for transport-related carbon footprint," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 791-818.
    13. Rüdiger Hahn & Felix Ostertag & Adrian Lehr & Marion Büttgen & Sabine Benoit, 2020. "“I like it, but I don't use it”: Impact of carsharing business models on usage intentions in the sharing economy," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1404-1418, March.
    14. Ruhrort, Lisa, 2020. "Reassessing the Role of Shared Mobility Services in a Transport Transition: Can They Contribute the Rise of an Alternative Socio-Technical Regime of Mobility?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(19), pages 1-1.
    15. Kirstin Lindloff & Nadine Pieper & Nils C. Bandelow & David M. Woisetschläger, 2014. "Drivers of carsharing diffusion in Germany: an actor-centred approach," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 14(3/4), pages 217-245.
    16. Meng, Zhiyi & Li, Eldon Y. & Qiu, Rui, 2020. "Environmental sustainability with free-floating carsharing services: An on-demand refueling recommendation system for Car2go in Seattle," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    17. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    18. Fernando ALMEIDA & Pedro SILVA & Joao LEITE, 2017. "Proposal Of A Carsharing System To Improve Urban Mobility," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(3), pages 32-44, April.
    19. Schaefers, Tobias & Leban, Marina & Vogt, Florian, 2022. "On-demand features: Consumer reactions to tangibility and pricing structure," Journal of Business Research, Elsevier, vol. 139(C), pages 751-761.
    20. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sit:wpaper:15_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Edoardo Marcucci (email available below). General contact details of provider: https://edirc.repec.org/data/siettea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.