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Pricing Car-Sharing Services in Multi-Modal Transportation Systems: An Analysis of the Cases of Copenhagen and Milan

  • Rebecca Grüner Hansen
  • Giovanni PantusoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11184)

Abstract

In this article we study the problem of pricing car-sharing services in multi-modal urban transportation systems. The pricing problem takes into account the competition of alternative mobility services such as public transportation and bicycles and incorporates customer preferences by means of utility functions. The problem is formulated as a linear demand-based discrete optimization problem. A case study based on the cities of Copenhagen and Milan suggests that cycling habits and the efficiency of public transportation services have a significant effect on the viability of car-sharing services.

Supplementary material

References

  1. 1.
    George, D.K., Xia, C.H.: Fleet-sizing and service availability for a vehicle rental system via closed queueing networks. Eur. J. Oper. Res. 211(1), 198–207 (2011)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Cepolina, E.M., Farina, A.: A new shared vehicle system for urban areas. Transp. Res. Part C Emerg. Technol. 21(1), 230–243 (2012)CrossRefGoogle Scholar
  3. 3.
    Correia, G.H.D.A., 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)CrossRefGoogle Scholar
  4. 4.
    Kaspi, M., Raviv, T., Tzur, M.: Parking reservation policies in one-way vehicle sharing systems. Transp. Res. Part B Methodol. 62, 35–50 (2014)CrossRefGoogle Scholar
  5. 5.
    de Almeida Correia, G.H., Antunes, A.P.: Optimization approach to depot location and trip selection in one-way carsharing systems. Transp. Res. Part E Logist. Transp. Rev. 48(1), 233–247 (2012)CrossRefGoogle Scholar
  6. 6.
    Kumar, P., Bierlaire, M.: Optimizing Locations for a Vehicle Sharing System (2012). https://infoscience.epfl.ch/record/195890
  7. 7.
    Boyaci, 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)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Li, X., Ma, J., Cui, J., Ghiasi, A., Zhou, F.: Design framework of large-scale one-way electric vehicle sharing systems: a continuum approximation model. Transp. Res. Part B Methodol. 88, 21–45 (2016)CrossRefGoogle Scholar
  9. 9.
    Kek, A., Cheu, R., Chor, M.: Relocation simulation model for multiple-station shared-use vehicle systems. Transp. Res. Rec. J. Transp. Res. Board 1986, 81–88 (2006)CrossRefGoogle Scholar
  10. 10.
    Fan, W., Machemehl, R., Lownes, N.: Carsharing: dynamic decision-making problem for vehicle allocation. Transp. Res. Rec. J. Transp. Res. Board 2063, 97–104 (2008)CrossRefGoogle Scholar
  11. 11.
    Kek, A.G., Cheu, R.L., Meng, Q., Fung, C.H.: A decision support system for vehicle relocation operations in carsharing systems. Transp. Res. Part E Logist. Transp. Rev. 45(1), 149–158 (2009)CrossRefGoogle Scholar
  12. 12.
    Nair, R., Miller-Hooks, E.: Fleet management for vehicle sharing operations. Transp. Sci. 45(4), 524–540 (2011)CrossRefGoogle Scholar
  13. 13.
    Weikl, S., Bogenberger, K.: Relocation strategies and algorithms for free-floating car sharing systems. IEEE Intell. Transp. Syst. Mag. 5(4), 100–111 (2013)CrossRefGoogle Scholar
  14. 14.
    Jorge, D., Correia, G.H.A., Barnhart, C.: Comparing optimal relocation operations with simulated relocation policies in one-way carsharing systems. IEEE Trans. Intell. Transp. Syst. 15(4), 1667–1675 (2014)CrossRefGoogle Scholar
  15. 15.
    Nourinejad, M., Zhu, S., Bahrami, S., Roorda, M.J.: Vehicle relocation and staff rebalancing in one-way carsharing systems. Transp. Res. Part E Logist. Transp. Rev. 81, 98–113 (2015)CrossRefGoogle Scholar
  16. 16.
    Bruglieri, M., Pezzella, F., Pisacane, O.: Heuristic algorithms for the operator-based relocation problem in one-way electric carsharing systems. Discret. Optim. 23, 56–80 (2017)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Santos, G., Correia, G.: A MIP model to optimize real time maintenance and relocation operations in one-way carsharing systems. Transp. Res. Procedia 10, 384–392 (2015)CrossRefGoogle Scholar
  18. 18.
    Kühne, K.S., Rickenberg, T.A., Breitner, M.H.: An optimization model and a decision support system to optimize car sharing stations with electric vehicles. In: Lübbecke, M., Koster, A., Letmathe, P., Madlener, R., Peis, B., Walther, G. (eds.) Operations Research Proceedings 2014, pp. 313–320. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-28697-6_44CrossRefGoogle Scholar
  19. 19.
    Benati, S., Hansen, P.: The maximum capture problem with random utilities: problem formulation and algorithms. Eur. J. Oper. Res. 143(3), 518–530 (2002)MathSciNetCrossRefGoogle Scholar
  20. 20.
    Zhang, Y., Berman, O., Verter, V.: The impact of client choice on preventive healthcare facility network design. OR Spectr. 34(2), 349–370 (2012)MathSciNetCrossRefGoogle Scholar
  21. 21.
    Sharif Azadeh, S., Marcotte, P., Savard, G.: A non-parametric approach to demand forecasting in revenue management. Comput. Oper. Res. 63, 23–31 (2015)MathSciNetCrossRefGoogle Scholar
  22. 22.
    Bierlaire, M., Azadeh, S.S.: Demand-based discrete optimization. Technical report, Transport and Mobility Laboratory School of Architecture, Civil and Environmental Engineering Ecole Polytechnique Fédérale de Lausanne, Lausanne (2016)Google Scholar
  23. 23.
    Herrmann, S., Schulte, F., Voß, S.: Increasing acceptance of free-floating car sharing systems using smart relocation strategies: a survey based study of car2go Hamburg. In: González-Ramírez, R.G., Schulte, F., Voß, S., Ceroni Díaz, J.A. (eds.) ICCL 2014. LNCS, vol. 8760, pp. 151–162. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-11421-7_10CrossRefGoogle Scholar
  24. 24.
    Schmöller, S., Weikl, S., Müller, J., Bogenberger, K.: Empirical analysis of free-floating carsharing usage: the Munich and Berlin case. Transp. Res. Part C Emerg. Technol. 56, 34–51 (2015)CrossRefGoogle Scholar
  25. 25.
    Manzi, G., Saibene, G.: Are they telling the truth? Revealing hidden traits of satisfaction with a public bike-sharing service. Int. J. Sustain. Transp. 12(4), 253–270 (2018)CrossRefGoogle Scholar
  26. 26.
    Cycling Embassy of Denmark: Facts About Cycling in Denmark - Cycling Embassy of Denmark (2014). http://www.cycling-embassy.dk/facts-about-cycling-in-denmark/statistics/
  27. 27.
    The Guardian: Cash for cycling: polluted Milan might pay commuters to bike to work—Cities—The Guardian (2016). https://www.theguardian.com/cities/2016/feb/29/cash-cycling-polluted-milan-italy-pay-commuters-bike-to-work
  28. 28.
    Modesti, P., Sciomachen, A.: A utility measure for finding multiobjective shortest paths in urban multimodal transportation networks. Eur. J. Oper. Res. 111(3), 495–508 (1998)CrossRefGoogle Scholar
  29. 29.
    CPH Post: Car2go shutting down in Copenhagen (2016). http://cphpost.dk/news/car2go-shutting-down-in-copenhagen.html
  30. 30.
    The Local: Car2go drives out of Copenhagen after flop - The Local (2016). https://www.thelocal.dk/20160120/car2go-on-copenhagen-road-to-nowhere

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Mathematical SciencesUniversity of CopenhagenCopenhagenDenmark

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