IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v57y2016i2d10.1007_s00168-016-0770-9.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-016-0770-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00168-016-0770-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olszewski, Robert & Pałka, Piotr & Wendland, Agnieszka & Majdzińska, Karolina, 2021. "Application of cooperative game theory in a spatial context: An example of the application of the community-led local development instrument for the decision support system of biogas plants constructi," Land Use Policy, Elsevier, vol. 108(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Janusch, Nicholas, 2016. "A note on the distortionary effects of revenue-neutral tolls in a bottleneck congestion game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 95-103.
    2. Wuping Xin & David Levinson, 2015. "Stochastic Congestion and Pricing Model with Endogenous Departure Time Selection and Heterogeneous Travelers," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 37-52, March.
    3. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    4. Hugo E. Silva & Robin Lindsey & André de Palma & Vincent A. C. van den Berg, 2017. "On the Existence and Uniqueness of Equilibrium in the Bottleneck Model with Atomic Users," Transportation Science, INFORMS, vol. 51(3), pages 863-881, August.
    5. Otsubo, Hironori & Rapoport, Amnon, 2008. "Vickrey's model of traffic congestion discretized," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 873-889, December.
    6. Xiao, Feng & Shen, Wei & Michael Zhang, H., 2012. "The morning commute under flat toll and tactical waiting," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1346-1359.
    7. 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.
    8. Shanjiang Zhu & David Levinson & Lei Zhang, 2007. "An Agent-based Route Choice Model," Working Papers 000089, University of Minnesota: Nexus Research Group.
    9. Yaron Hollander & Joseph Prashker, 2006. "The applicability of non-cooperative game theory in transport analysis," Transportation, Springer, vol. 33(5), pages 481-496, September.
    10. Martin Shubik, 1984. "The Cooperative Form, the Value and the Allocation of Joint Costs and Benefits," Cowles Foundation Discussion Papers 706, Cowles Foundation for Research in Economics, Yale University.
    11. Karla Hoff & Mayuresh Kshetramade & Ernst Fehr, 2011. "Caste and Punishment: the Legacy of Caste Culture in Norm Enforcement," Economic Journal, Royal Economic Society, vol. 121(556), pages 449-475, November.
    12. Aurora García‐Gallego & Nikolaos Georgantzís, 2009. "Market Effects of Changes in Consumers' Social Responsibility," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(1), pages 235-262, March.
    13. Dritan Osmani & Richard S.J. Tol, 2008. "Evolution in time of Farsightedly Stable Coalitions: An Application of FUND," Working Papers FNU-162, Research unit Sustainability and Global Change, Hamburg University, revised May 2008.
    14. Paula Corcho & José Ferreira, 2003. "Generalized externality games," Theory and Decision, Springer, vol. 54(2), pages 163-184, March.
    15. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    16. Evans, Alecia & Sesmero, Juan, 2022. "Cooperation in Social Dilemmas with Correlated Noisy Payoffs: Theory and Experimental Evidence," 2021 Annual Meeting, August 1-3, Austin, Texas 322804, Agricultural and Applied Economics Association.
    17. Gonzalo Olcina & Vicente Calabuig, 2015. "Coordinated Punishment and the Evolution of Cooperation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(2), pages 147-173, April.
    18. Alparslan-Gok, S.Z. & Brânzei, R. & Tijs, S.H., 2008. "Cooperative Interval Games Arising from Airport Situations with Interval Data," Other publications TiSEM 5ded50b5-2a11-4d25-8511-b, Tilburg University, School of Economics and Management.
    19. Erin L. Krupka & Roberto A. Weber, 2013. "Identifying Social Norms Using Coordination Games: Why Does Dictator Game Sharing Vary?," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 495-524, June.
    20. Anne-Sarah Chiambretto & Hubert Stahn, 2017. "Voluntary Management of Fisheries under an Uncertain Background Legislative Threat," Working Papers halshs-01500543, HAL.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:anresc:v:57:y:2016:i:2:d:10.1007_s00168-016-0770-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.