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Selfish routing in public services

  • Knight, Vincent A.
  • Harper, Paul R.
Registered author(s):

    It is well observed that individual behaviour can have an effect on the efficiency of queueing systems. The impact of this behaviour on the economic efficiency of public services is considered in this paper where we present results concerning the congestion related implications of decisions made by individuals when choosing between facilities. The work presented has important managerial implications at a public policy level when considering the effect of allowing individuals to choose between providers. We show that in general the introduction of choice in an already inefficient system will not have a negative effect. Introducing choice in a system that copes with demand will have a negative effect.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221713003019
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 230 (2013)
    Issue (Month): 1 ()
    Pages: 122-132

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    Handle: RePEc:eee:ejores:v:230:y:2013:i:1:p:122-132
    DOI: 10.1016/j.ejor.2013.04.003
    Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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    1. Knudsen, Niels Chr, 1972. "Individual and Social Optimization in a Multiserver Queue with a General Cost-Benefit Structure," Econometrica, Econometric Society, vol. 40(3), pages 515-28, May.
    2. Boudali, Olga & Economou, Antonis, 2012. "Optimal and equilibrium balking strategies in the single server Markovian queue with catastrophes," European Journal of Operational Research, Elsevier, vol. 218(3), pages 708-715.
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    5. Byung-Wook Wie, 1995. "A differential game approach to the dynamic mixed behavior traffic network equilibrium problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 117-136, May.
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    7. Skinner Brian, 2010. "The Price of Anarchy in Basketball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(1), pages 1-18, January.
    8. Patriksson, Michael, 1993. "A unified description of iterative algorithms for traffic equilibria," European Journal of Operational Research, Elsevier, vol. 71(2), pages 154-176, December.
    9. Han, Deren & Lo, Hong K. & Sun, Jie & Yang, Hai, 2008. "The toll effect on price of anarchy when costs are nonlinear and asymmetric," European Journal of Operational Research, Elsevier, vol. 186(1), pages 300-316, April.
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    11. Colin E. Bell & Shaler Stidham, Jr., 1983. "Individual versus Social Optimization in the Allocation of Customers to Alternative Servers," Management Science, INFORMS, vol. 29(7), pages 831-839, July.
    12. Uri Yechiali, 1972. "Customers' Optimal Joining Rules for the GI/M/s Queue," Management Science, INFORMS, vol. 18(7), pages 434-443, March.
    13. Naor, P, 1969. "The Regulation of Queue Size by Levying Tolls," Econometrica, Econometric Society, vol. 37(1), pages 15-24, January.
    14. Guo, Pengfei & Hassin, Refael, 2012. "Strategic behavior and social optimization in Markovian vacation queues: The case of heterogeneous customers," European Journal of Operational Research, Elsevier, vol. 222(2), pages 278-286.
    15. Valentina Zigante, 2011. "Subjective Well-being as a Measure of Welfare and Equity: The Case of Choice Policies in Health Care," CESifo Economic Studies, CESifo, vol. 57(4), pages 715-739, December.
    16. Correa, José R. & Schulz, Andreas S. & Stier-Moses, Nicolás E., 2008. "A geometric approach to the price of anarchy in nonatomic congestion games," Games and Economic Behavior, Elsevier, vol. 64(2), pages 457-469, November.
    17. Nisan,Noam & Roughgarden,Tim & Tardos,Eva & Vazirani,Vijay V. (ed.), 2007. "Algorithmic Game Theory," Cambridge Books, Cambridge University Press, number 9780521872829, Junio.
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