Agent-Based Modeling and Simulation for Two-Dimensional Spatial Competition

  • Masashi MiuraEmail author
  • Hidetoshi Shiroishi
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 96)


We examine a feasibility study on agent-based modeling and simulation for spatial competition originating from Hotelling model. Hotelling model is a theory that explains the consequence of the spatial competition between two shops. This model is employed to explain little product differentiation and agglomeration of retail shops. Conventionally, the researches for spatial competition has employed the analytical approaches in the game situations. On the contrary, our research intends to introduce the agent-based approach. With the agent-based approach, we can deal with discrete and non-uniform consumer distributions which are closer to the actual situation. This paper introduces our agent-based model as extension of two-dimensional Hotelling model and the agent simulator which we’ve developed as a prototype.


  1. 1.
    Brown, S.: Retail location theory: the legacy of harold hotelling. J. Retail. 65(4), 450–470 (1989)Google Scholar
  2. 2.
    Numan, W., Willekens, M.: An empirical test of spatial competition in the audit market. J. Account. Econ. 53(1-2), 450–465 (2012)CrossRefGoogle Scholar
  3. 3.
    Thomadsen, R.: Product positioning and competition: the role of location in the fast food industry. Mark. Sci. 26(6), 792–804 (2007)CrossRefGoogle Scholar
  4. 4.
    Hotelling, H.: Stability in competition. Econ. J. 39(153), 41–57 (1929)CrossRefGoogle Scholar
  5. 5.
    Anderson, S.P., Neven, D.J.: Cournot competition yields spatial agglomeration. Int. Econ. Rev. 32(4), 793–808 (1991)CrossRefGoogle Scholar
  6. 6.
    Yasuda, Y.: Instability in the Hotelling’s non-price spatial competition model. Theor. Econ. Lett. 3(3), 7–10 (2013)CrossRefGoogle Scholar
  7. 7.
    d’Aspremont, C., Gabszewicz, J.J., Thisse, J.-F.: On Hotelling’s stability in competition. Econometrica 47(5), 1145–1150 (1979)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. United States Am. 99(3), 7280–7287 (2002)CrossRefGoogle Scholar
  9. 9.
    Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)CrossRefGoogle Scholar
  10. 10.
    Tabuchi, T.: Two-stage two-dimensional spatial competition between two firms. Reg. Sci. Urban Econ. 24(2), 207–227 (1994)CrossRefGoogle Scholar
  11. 11.
    Aumann, R.J.: Backward induction and common knowledge of rationality. Games Econ. Behav. 8(1), 6–19 (1995)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Yamakage S.: Modeling and Expanding Artificial Societies: Introduction to Multi-Agent Simulation with artisoc. Kozo Keikaku Engineering Inc. (2009)Google Scholar
  13. 13.
    Miura, M.: Accessed 28 Feb 2018
  14. 14.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Innovation Center for Engineering EducationTottori UniversityTottoriJapan
  2. 2.Faculty of Regional SciencesTottori UniversityTottoriJapan

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