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Cellular automata as the basis of integrated dynamic regional modelling

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  • R White
  • G Engelen

Abstract

We present an integrated model of regional spatial dynamics consisting of a cellular automaton-based model of land use linked both to a geographic information system (GIS) and to standard nonspatial models of regional economics and demographics, as well as to a simple model of environmental change. The operation of the model is illustrated with an application to the island of St Lucia developed for the purpose of providing insights into the possible socioeconomic consequences for the island of global climate change. On the basis of results from this and other applications of the model, we conclude that cellular automata not only permit a detailed modelling and realistic prediction of land-use patterns, but they also provide a means of introducing the effects of spatially localized environmental factors, as represented in the GIS, into the operation of standard economic and demographic models, which are otherwise unconstrained.

Suggested Citation

  • R White & G Engelen, 1997. "Cellular automata as the basis of integrated dynamic regional modelling," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 24(2), pages 235-246, March.
  • Handle: RePEc:pio:envirb:v:24:y:1997:i:2:p:235-246
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    Cited by:

    1. Torrens, Paul M., 2001. "New Tools for Simulating Housing Choices," Berkeley Program on Housing and Urban Policy, Working Paper Series qt6qs0w2w1, Berkeley Program on Housing and Urban Policy.
    2. Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
    3. Hubacek, Klaus & van den Bergh, Jeroen C.J.M., 2006. "Changing concepts of 'land' in economic theory: From single to multi-disciplinary approaches," Ecological Economics, Elsevier, vol. 56(1), pages 5-27, January.
    4. Harutyun Shahumyan & Brendan Williams & Laura Petrov & Walter Foley, 2014. "Regional Development Scenario Evaluation through Land Use Modelling and Opportunity Mapping," Land, MDPI, Open Access Journal, vol. 3(3), pages 1-34, September.
    5. Chuanzhun Sun & Chao Sun & Zhenshan Yang & Jikang Zhang & Yu Deng, 2016. "Urban Land Development for Industrial and Commercial Use: A Case Study of Beijing," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-18, December.
    6. 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.
    7. repec:eee:ecomod:v:210:y:2008:i:1:p:71-84 is not listed on IDEAS
    8. repec:eee:ecomod:v:220:y:2009:i:24:p:3612-3620 is not listed on IDEAS

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