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Cellular worlds: a framework for modeling micro - macro dynamics

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  • H Couclelis

Abstract

Cellular spaces have recently received a lot of attention in computer science and elsewhere as models capable of bridging the gap between disaggregate and aggregate description. Despite their obvious spatial interpretation, standard cell-space models are too constrained by their background conventions to be useful in realistic geographic applications. In this paper, a generalization of the cell-space principle is presented, based on discrete model theory, and then applied to a hypothetical but fairly complex problem of individual decision and large-scale urban change. The paper ends with a discussion of the wider import of this methodology, which has close links with, among other things, bifurcation theory, cognitive science modeling of individual decision and behavior, and other issues of actual or potential interest to geographers.

Suggested Citation

  • H Couclelis, 1985. "Cellular worlds: a framework for modeling micro - macro dynamics," Environment and Planning A, Pion Ltd, London, vol. 17(5), pages 585-596, May.
  • Handle: RePEc:pio:envira:v:17:y:1985:i:5:p:585-596
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    Cited by:

    1. repec:eee:ecomod:v:354:y:2017:i:c:p:1-10 is not listed on IDEAS
    2. Jeroen Bergh, 2007. "Evolutionary thinking in environmental economics," Journal of Evolutionary Economics, Springer, vol. 17(5), pages 521-549, October.
    3. repec:eee:ecomod:v:211:y:2008:i:1:p:169-181 is not listed on IDEAS
    4. Patterson, Zachary & Kryvobokov, Marko & Marchal, Fabrice & Bierlaire, Michel, 2010. "Disaggregate models with aggregate data: Two UrbanSim applications," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 5-37.
    5. Mahyar Amirgholy & Hojjat Rezaeestakhruie & Hossain Poorzahedy, 2015. "Multi-objective cordon price design to control long run adverse traffic effects in large urban areas," Netnomics, Springer, vol. 16(1), pages 1-52, August.
    6. Lizhong Hua & Lina Tang & Shenghui Cui & Kai Yin, 2014. "Simulating Urban Growth Using the SLEUTH Model in a Coastal Peri-Urban District in China," Sustainability, MDPI, Open Access Journal, vol. 6(6), pages 1-16, June.
    7. repec:gam:jsusta:v:8:y:2016:i:4:p:297:d:66431 is not listed on IDEAS
    8. Caroline Bayr & Miriam Steurer & Rose-Gerd Koboltschnig, 2013. "Scenario Planning for Cities using Cellular Automata Models: A Case Study," Graz Economics Papers 2013-06, University of Graz, Department of Economics.
    9. Federico Amato & Biagio Antonio Maimone & Federico Martellozzo & Gabriele Nolè & Beniamino Murgante, 2016. "The Effects of Urban Policies on the Development of Urban Areas," Sustainability, MDPI, Open Access Journal, vol. 8(4), pages 1-22, March.

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