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Profit optimization in one-way free float car sharing services: a user based relocation strategy relying on price differentiation and Urban Area Values

Author

Listed:
  • Alessandro Avenali

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Yuri Maria Chianese

    (Applied Research to Technologies srl, Rome, Italy)

  • Graziano Ciucciarelli

    (Applied Research to Technologies srl, Rome, Italy)

  • Giorgio Grani

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Laura Palagi

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

Abstract

In the last years car-sharing has been growing as a valid alternative in urban mobility.Since its beginning the focus has been posed on relocation costs and stations positioning. On the counter part its well known that price discrimination can improve significantly companies' revenues. Our idea is to apply price discrimination to a particular case of car sharing by adapting tools from classical Revenue Management (e.g. airline models). We firstly propose a pricing strategy for car-sharing, and we propose a mixed-integer linear program to evaluate the best strategy. Furthermore we propose alternative MILP formulations corresponding to different relocation strategies. Finally we performs numerical simulation based on real data to support our approach.

Suggested Citation

  • Alessandro Avenali & Yuri Maria Chianese & Graziano Ciucciarelli & Giorgio Grani & Laura Palagi, 2019. "Profit optimization in one-way free float car sharing services: a user based relocation strategy relying on price differentiation and Urban Area Values," DIAG Technical Reports 2019-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  • Handle: RePEc:aeg:report:2019-04
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    References listed on IDEAS

    as
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    Keywords

    car sharing ; Revenue management ; dynamic pricing;
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