Abstract
Carsharing has become a viable mode of transport which not only contributes to improving the environment and traffic congestion, but is often also cheaper for its users. It is a challenging task for carsharing providers to design an effective system which meets user demand while at the same time limiting expenses. This paper introduces an integer programming formulation and a simulated annealing metaheuristic to optimize the location of vehicles for round-trip systems with a heterogeneous fleet. An extensive computational study is carried out to understand the impact of fleet heterogeneity, request generality and the number of possible vehicle locations on the algorithms’ performance. Problem instances derived from a case study are shown to be edge cases in terms of fleet heterogeneity and request generality, for which the proposed integer programming formulation performs exceptionally well. Finally, solutions of the case study are analyzed to demonstrate the effect of spatial flexibility on the system’s costs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
A third, less common type of carsharing is peer-to-peer carsharing in which users rent out their private vehicle to other users.
- 2.
The generated instances can be downloaded at https://people.cs.kuleuven.be/~pieter.smet/carsharing.
References
Balac, M., Ciari, F.: Enhancement of the carsharing fleet utilization. In: 15th Swiss Transport Research Conference, Ascona, Switzerland (2015)
Boyacı, B., Zografos, K.G., Geroliminis, N.: An optimization framework for the development of efficient one-way car-sharing systems. Eur. J. Oper. Res. 240(3), 718–733 (2015)
Brandstätter, G., et al.: Overview of optimization problems in electric car-sharing system design and management. In: Dawid, H., Doerner, K.F., Feichtinger, G., Kort, P.M., Seidl, A. (eds.) Dynamic Perspectives on Managerial Decision Making. DMEEF, vol. 22, pp. 441–471. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39120-5_24
Brandstätter, G., Kahr, M., Leitner, M.: Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand. Transp. Res. Part B Methodol. 104, 17–35 (2017)
Çalık, H., Fortz, B.: A benders decomposition method for locating stations in a one-way electric car sharing system under demand uncertainty. Transp. Res. Part B Methodol. 125, 121–150 (2019)
Cepolina, E.M., Farina, A.: A new shared vehicle system for urban areas. Transp. Res. Part C Emerg. Technol. 21(1), 230–243 (2012)
Ciari, F., Weis, C., Balac, M.: Evaluating the influence of carsharing stations’ location on potential membership: a Swiss case study. EURO J. Transp. Logist. 5(3), 345–369 (2016)
Correia, G., Jorge, D.R., Antunes, D.M.: The added value of accounting for users’ flexibility and information on the potential of a station-based one-way car-sharing system: an application in Lisbon, Portugal. J. Intell. Transp. Syst. 18(3), 299–308 (2014)
Illgen, S., Höck, M.: Literature review of the vehicle relocation problem in one-way car sharing networks. Transp. Res. Part B Methodol. 120, 193–204 (2019)
Jorge, D., Correia, G., Barnhart, C.: Testing the validity of the MIP approach for locating carsharing stations in one-way systems. Procedia Soc. Behav. Sci. 54, 138–148 (2012)
Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)
Krishnamoorthy, M., Ernst, A., Baatar, D.: Algorithms for large scale shift minimisation personnel task scheduling problems. Eur. J. Oper. Res. 219, 34–48 (2012)
Kroon, L.G., Salomon, M., Van Wassenhove, L.N.: Exact and approximation algorithms for the tactical fixed interval scheduling problem. Oper. Res. 45(4), 624–638 (1997)
Kumar, P., Bierlaire, M.: Optimizing locations for a vehicle sharing system. In: Proceedings of the Swiss Transport Research Conference, pp. 1–30 (2012)
Laporte, G., Meunier, F., Wolfler Calvo, R.: Shared mobility systems: an updated survey. Ann. Oper. Res. 271(1), 105–126 (2018). https://doi.org/10.1007/s10479-018-3076-8
López-Ibánez, M., Dubois-Lacoste, J., Cáceres, L.P., Birattari, M., Stützle, T.: The irace package: iterated racing for automatic algorithm configuration. Oper. Res. Perspect. 3, 43–58 (2016)
Niraj Ramesh, D., Krishnamoorthy, M., Ernst, A.T.: Efficient models, formulations and algorithms for some variants of fixed interval scheduling problems. In: Sarker, R., Abbass, H.A., Dunstall, S., Kilby, P., Davis, R., Young, L. (eds.) Data and Decision Sciences in Action. LNMIE, pp. 43–69. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-55914-8_4
Shaheen, S., Cohen, A.: Carsharing and personal vehicle services: worldwide market developments and emerging trends. Int. J. Sustain. Transp. 7(1), 5–34 (2013)
Shaheen, S., Cohen, A., Jaffee, M.: Innovative mobility: Carsharing outlook. UC Berkeley: Transportation Sustainability Research Center (2018). https://doi.org/10.7922/G2CC0XVW
Smet, P., Wauters, T., Mihaylov, M., Vanden Berghe, G.: The shift minimisation personnel task scheduling problem: a new hybrid approach and computational insights. Omega 46, 64–73 (2014)
Sprei, F., Habibi, S., Englund, C., Pettersson, S., Voronov, A., Wedlin, J.: Free-floating car-sharing electrification and mode displacement: travel time and usage patterns from 12 cities in Europe and the United States. Transp. Res. Part D Transp. Environ. 71, 127–140 (2019)
Ströhle, P., Flath, C.M., Gärttner, J.: Leveraging customer flexibility for car-sharing fleet optimization. Transp. Sci. 53(1), 42–61 (2019)
Acknowledgements
This research was supported by the Strategic Basic Research project ‘Data-driven logistics’ (S007318N), funded by the Research Foundation Flanders (FWO). Editorial consultation provided by Luke Connolly (KU Leuven).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Smet, P., Thanos, E., Mosquera, F., Wickert, T.I. (2021). Algorithms for the Design of Round-Trip Carsharing Systems with a Heterogeneous Fleet. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-87672-2_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87671-5
Online ISBN: 978-3-030-87672-2
eBook Packages: Computer ScienceComputer Science (R0)