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Modelling the effect of different pricing schemes on free-floating carsharing travel demand: a test case for Zurich, Switzerland

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  • Francesco Ciari
  • Milos Balac
  • Michael Balmer

Abstract

Fundamental changes are continuing in the carsharing industry and the rapid diffusion of free-floating carsharing is one of them. The increased size of the operators and the more frequent occurrence of direct competition among them will likely make carsharing pricing a more important issue. The problem of how carsharing demand varies with different pricing strategies is the subject of this paper. An urban-scale and activity-based state-of-the-art multi-agent modelling framework was employed to evaluate alternative pricing strategies. Based on this analysis, findings suggest that pricing strategies may induce structural changes in the spatial and journey-purpose profiles of carsharing usage, and, in addition, impact aggregate demand levels and how they are distributed diurnally. The metropolitan area of Zurich, Switzerland was used as case study. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Francesco Ciari & Milos Balac & Michael Balmer, 2015. "Modelling the effect of different pricing schemes on free-floating carsharing travel demand: a test case for Zurich, Switzerland," Transportation, Springer, vol. 42(3), pages 413-433, May.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:3:p:413-433
    DOI: 10.1007/s11116-015-9608-z
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    References listed on IDEAS

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    Cited by:

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    5. Cantelmo, Guido & Amini, Roja Ezzati & Monteiro, Mayara Moraes & Frenkel, Amnon & Lerner, Ofer & Tavory, Sharon Shoshany & Galtzur, Ayelet & Kamargianni, Maria & Shiftan, Yoram & Behrischi, Christiane, 2022. "Aligning users’ and stakeholders’ needs: How incentives can reshape the carsharing market," Transport Policy, Elsevier, vol. 126(C), pages 306-326.
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    7. Zhang, J. & Meng, M. & Wang, David, Z.W., 2019. "A dynamic pricing scheme with negative prices in dockless bike sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 201-224.
    8. 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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    10. Jingjing Jia & Shujie Ma & Yixi Xue & Deyang Kong, 2020. "Life-Cycle Break-Even Analysis of Electric Carsharing: A Comparative Study in China," Sustainability, MDPI, vol. 12(16), pages 1-29, August.
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    12. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    13. Li, Qing & Liao, Feixiong, 2020. "Incorporating vehicle self-relocations and traveler activity chains in a bi-level model of optimal deployment of shared autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 151-175.
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