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Carsharing use by college students: The case of Milan and Rome

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  • Rotaris, Lucia
  • Danielis, Romeo
  • Maltese, Ila

Abstract

The paper analyses carsharing (CS) use by college students in the Italian cities of Rome and Milan. We use an adapted stated preference approach to study CS preferences by collecting information on the individual mobility patterns and by distinguishing between commuting and non-commuting trips. We develop six hypothetical scenarios to explore how mobility decision would change when varying the characteristics of the current CS supply. We estimate a random parameter discrete choice model to evaluate CS preferences and simulated CS demand. The main finding is that college students use CS on an occasional basis and vary rarely their habitual transport choice. The students prefer the free-floating CS type over the station-based or roundtrip one. Lower fares and a higher CS supply of preferably electric cars would increase the number of CS student users from the current 2% to up to 10–15%. CS substitutes mainly the private car and, to a lesser extent, public transport.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:120:y:2019:i:c:p:239-251
    DOI: 10.1016/j.tra.2018.12.017
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    3. Isaac Kofi Mensah & Zhao Tianyu & Guohua Zeng & Luo Chuanyong, 2019. "Determinants of the Continued Intention of College Students in China to Use DiDi Mobile Car-Sharing Services," SAGE Open, , vol. 9(4), pages 21582440198, December.
    4. Silvestri, Alessandro & Foudi, Sébastien & Galarraga, Ibon & Ansuategi, Alberto, 2021. "The contribution of carsharing to low carbon mobility: Complementarity and substitution with other modes," Research in Transportation Economics, Elsevier, vol. 85(C).
    5. Ogata, Ryuto & Schmöcker, Jan-Dirk & Nakamura, Toshiyuki & Kuwahara, Masahiro, 2022. "On the potential of carsharing to attract regular trips of private car and public transport users in metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 386-404.
    6. Khalek, Sk Abu & Chakraborty, Anirban, 2022. "“I like to use but do not wish to own†: Exploring the role of de-ownership orientation in the adoption of access-based services," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    7. Wen, Xiao & Ranjbari, Andisheh & Qi, Fan & Clewlow, Regina R. & MacKenzie, Don, 2021. "Challenges in credibly estimating the travel demand effects of mobility services," Transport Policy, Elsevier, vol. 103(C), pages 224-235.
    8. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    9. 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.
    10. Aghaabbasi, Mahdi & Shekari, Zohreh Asadi & Shah, Muhammad Zaly & Olakunle, Oloruntobi & Armaghani, Danial Jahed & Moeinaddini, Mehdi, 2020. "Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 262-281.

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