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A spatial agent-based model of a congestion game: evolutionary game theory in space

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  • Sutee Anantsuksomsri

    (Chulalongkorn University
    Waseda University)

  • Nij Tontisirin

    (Thammasat University)

Abstract

This paper develops a theoretical framework to analyze traffic congestion from a micro-behavioral foundation perspective. It extends the evolution of an n-person prisoner’s dilemma within actual geographical space, integrating an agent-based model with GIS, in conflicting spatial interactions that ultimately lead to the decline of cooperation. The spatial agent-based model captures the response strategies of autonomous individuals in a landscape that contextualizes both the natural and the built environment. The result suggests that the loss of context preservation could lead to the extinction of cooperation, the opposite of the earlier findings. This theoretical framework thus serves as a basis for the analysis of collective strategic decisions about the use of a common resource from a game theoretical perspective.

Suggested Citation

  • Sutee Anantsuksomsri & Nij Tontisirin, 2016. "A spatial agent-based model of a congestion game: evolutionary game theory in space," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 371-391, November.
    • Handle: RePEc:spr:anresc:v:57:y:2016:i:2:d:10.1007_s00168-016-0770-9
    DOI: 10.1007/s00168-016-0770-9
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    References listed on IDEAS

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    1. Richard Tay, 2002. "The Prisoner's Dilemma and Vehicle Safety Some Policy Implications," Journal of Transport Economics and Policy, University of Bath, vol. 36(3), pages 491-495, September.
    2. Xi Zou & David Levinson, 2006. "A Multi-Agent Congestion and Pricing Model," Working Papers 200605, University of Minnesota: Nexus Research Group.
    3. Hildebrand, Marvin D. & Prentice, Barry E. & Lipnowski, Irwin, 1990. "Enforcement of Highway Weight Regulations: A Game Theoretic Model," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 30(2).
    4. Michael D. Cohen & Rick L. Riolo & Robert Axelrod, 1999. "The Emergence of Social Organization in the Prisoner's Dilemma: How Context-Preservation and Other Factors Promote Cooperation," Working Papers 99-01-002, Santa Fe Institute.
    5. Dissanayake, Dilum & Morikawa, Takayuki, 2010. "Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region," Journal of Transport Geography, Elsevier, vol. 18(3), pages 402-410.
    6. S.C. Littlechild & G.F. Thompson, 1977. "Aircraft Landing Fees: A Game Theory Approach," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 186-204, Spring.
    7. Conrad Power, 2009. "A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-8.
    8. Levinson, David, 2005. "Micro-foundations of congestion and pricing: A game theory perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 691-704.
    9. Elinor Ostrom, 2000. "Collective Action and the Evolution of Social Norms," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 137-158, Summer.
    10. Mansury, Yuri & Gulyas, Laszlo, 2007. "The emergence of Zipf's Law in a system of cities: An agent-based simulation approach," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2438-2460, July.
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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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