One-Way Car-Sharing Profit Maximization by Means of User-Based Vehicle Relocation

One-way car-sharing systems, which allow customers to return vehicles to the stations where they were picked up, offer greater flexibility compared to conventional car-sharing services. Nevertheless, to guarantee this flexibility, such systems have to face difficult problems of vehicle relocation in order to be ready to satisfy as many trip reservations as possible. This paper proposes a user-based relocation methodology in which the users may accept to leave the car in a different location in exchange for fare discounts. To this aim, a two-stage optimization problem is formulated for optimizing the alternative destinations proposed to users and for maximizing the profit of car-sharing operators. The extensive analysis of results shows that, with the proposed user-based relocation strategy and without the operator-based relocation, the number of rejected reservations can be significantly reduced, even with a relatively small number of vehicles and, at the same time, the operator’s profit can be increased.

[1]  Randy B Machemehl,et al.  Carsharing: Dynamic Decision-Making Problem for Vehicle Allocation , 2008 .

[2]  António Pais Antunes,et al.  Optimization Approach to Depot Location and Trip Selection in One-Way Carsharing Systems , 2012 .

[3]  Lei Xue,et al.  User-Based Vehicle Relocation Techniques for Multiple-Station Shared-Use Vehicle Systems , 2004 .

[4]  Nikolas Geroliminis,et al.  An optimization framework for the development of efficient one-way car-sharing systems , 2015, Eur. J. Oper. Res..

[5]  Marco Pavone,et al.  A queueing network approach to the analysis and control of mobility-on-demand systems , 2014, 2015 American Control Conference (ACC).

[6]  Susan Shaheen,et al.  One-way carsharing’s evolution and operator perspectives from the Americas , 2015 .

[7]  G. Correia,et al.  Trip pricing of one-way station-based carsharing networks with zone and time of day price variations , 2015 .

[8]  Nicola Sacco,et al.  One-Way Carsharing , 2012 .

[9]  Matthew Barth,et al.  Simulation model performance analysis of a multiple station shared vehicle system , 1999 .

[10]  Toyohide Watanabe,et al.  Dynamic Location Management for On-Demand Car Sharing System , 2005, KES.

[11]  Qiang Meng,et al.  A decision support system for vehicle relocation operations in carsharing systems , 2009 .

[12]  Elise Miller-Hooks,et al.  Fleet Management for Vehicle Sharing Operations , 2011, Transp. Sci..

[13]  Gonçalo Homem de Almeida Correia,et al.  Carsharing systems demand estimation and defined operations: a literature review , 2013, European Journal of Transport and Infrastructure Research.

[14]  Sami Mahari,et al.  Discrete events model for dual mode transport system simulation and evaluation , 2011 .

[15]  Anjali Awasthi,et al.  Evaluation of carsharing network's growth strategies through discrete event simulation , 2012, Expert Syst. Appl..

[16]  Susan Shaheen,et al.  U.S. Shared-Use Vehicle Survey Findings on Carsharing and Station Car Growth: Obstacles and Opportunities , 2003 .

[17]  Simone Weikl,et al.  Relocation Strategies and Algorithms for Free-Floating Car Sharing Systems , 2012, IEEE Intelligent Transportation Systems Magazine.

[18]  Ruey Long Cheu,et al.  Relocation Simulation Model for Multiple-Station Shared-Use Vehicle Systems: , 2006 .

[19]  Walter Ukovich,et al.  A Decision Support System for User-Based Vehicle Relocation in Car Sharing Systems , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[20]  Patrick Briest,et al.  The car sharing problem , 2011, SPAA '11.

[21]  Alessandro Farina,et al.  A new shared vehicle system for urban areas , 2012 .

[22]  Stefan Voß,et al.  Increasing Acceptance of Free-Floating Car Sharing Systems Using Smart Relocation Strategies: A Survey Based Study of car2go Hamburg , 2014, ICCL.

[23]  Susan Shaheen,et al.  Growth in Worldwide Carsharing , 2007 .

[24]  Matthew Barth,et al.  User Behavior Evaluation of an Intelligent Shared Electric Vehicle System , 2001 .