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SIMPOP: A Multiagent System for the Study of Urbanism

Author

Listed:
  • L Sanders
  • D Pumain
  • H Mathian
  • F Guérin-Pace

    (Institut National d'Etudes Démographiques, 27 rue du Commandeur, 75014 Paris, France)

  • S Bura

    (Laboratoire Formes et Intelligence Artificielle, Université de Paris VI, 4 place Jussieu, 75005 Paris, France)

Abstract

SIMPOP is a knowledge-based simulation system for the description of the evolution of settlement patterns over long time periods. Rules and parameters are introduced into a multiagent systems formalism where each settlement is considered as a separate entity interacting with the others and transforming itself. The rules may allow for the simulation of the ‘urban transition’ from a set of homogeneous, agriculture-oriented, and scattered villages into a complex system of functionally diverse, competing, and hierarchised urban settlements. In this paper we show how several modifications of rules and parameters alter further the spatial and hierarchical structure of the simulated urban system.

Suggested Citation

  • L Sanders & D Pumain & H Mathian & F Guérin-Pace & S Bura, 1997. "SIMPOP: A Multiagent System for the Study of Urbanism," Environment and Planning B, , vol. 24(2), pages 287-305, April.
    • Handle: RePEc:sae:envirb:v:24:y:1997:i:2:p:287-305
    DOI: 10.1068/b240287
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    References listed on IDEAS

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    1. T J Fik & G F Mulligan, 1990. "Spatial Flows and Competing Central Places: Towards a General Theory of Hierarchical Interaction," Environment and Planning A, , vol. 22(4), pages 527-549, April.
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    Cited by:

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    2. Cong Cao & Suzana Dragićević & Songnian Li, 2019. "Short-Term Forecasting of Land Use Change Using Recurrent Neural Network Models," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    3. Chen, Assaf, 2017. "Spatially explicit modelling of agricultural dynamics in semi-arid environments," Ecological Modelling, Elsevier, vol. 363(C), pages 31-47.

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