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

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Computational Logistics (ICCL 2018)

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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.

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Notes

  1. 1.

    Source: www.car2go.com, accessed on January 6th 2018.

  2. 2.

    Assuming the usage of a widely available transportation card named rejsekort.

References

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  6. Kumar, P., Bierlaire, M.: Optimizing Locations for a Vehicle Sharing System (2012). https://infoscience.epfl.ch/record/195890

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  12. Nair, R., Miller-Hooks, E.: Fleet management for vehicle sharing operations. Transp. Sci. 45(4), 524–540 (2011)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  18. KĂ¼hne, 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: LĂ¼bbecke, 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_44

    Chapter  Google Scholar 

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  MathSciNet  Google Scholar 

  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)

    Article  MathSciNet  Google Scholar 

  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. Herrmann, S., Schulte, F., VoĂŸ, S.: Increasing acceptance of free-floating car sharing systems using smart relocation strategies: a survey based study of car2go Hamburg. In: GonzĂ¡lez-RamĂ­rez, R.G., Schulte, F., VoĂŸ, S., Ceroni DĂ­az, J.A. (eds.) ICCL 2014. LNCS, vol. 8760, pp. 151–162. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11421-7_10

    Chapter  Google Scholar 

  24. Schmöller, S., Weikl, S., MĂ¼ller, 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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. 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)

    Article  Google Scholar 

  29. CPH Post: Car2go shutting down in Copenhagen (2016). http://cphpost.dk/news/car2go-shutting-down-in-copenhagen.html

  30. The Local: Car2go drives out of Copenhagen after flop - The Local (2016). https://www.thelocal.dk/20160120/car2go-on-copenhagen-road-to-nowhere

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Correspondence to Giovanni Pantuso .

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A Attributes of the Origin-Destination Pairs Considered

A Attributes of the Origin-Destination Pairs Considered

See Table 3.

Table 3. Time-related attributes of car-sharing (CS), public transportation (PT), and bicycle (B) for the O-D pairs of interest in Copenhagen and Milan.

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Hansen, R.G., Pantuso, G. (2018). Pricing Car-Sharing Services in Multi-Modal Transportation Systems: An Analysis of the Cases of Copenhagen and Milan. In: Cerulli, R., Raiconi, A., VoĂŸ, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-00898-7_23

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