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The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics

Author

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  • R White
  • G Engelen
  • I Uljee

Abstract

A cellular automaton is specified to give a spatially detailed represenation of the evolution of urban land-use patterns. Cell states represent land uses, and transition rules express the likelihood of a change from one state to another as a function both of existing land use in the 113-cell neighbourhood of the cell and of the inherent suitability of the cell for each possible use. The model is used to simulate the land-use pattern of Cincinnati, Ohio. The simulation results are realistic and sensitivity analysis shows that the predictions of the model are relatively accurate and reproducible, thus suggesting that cellular automata - based models may be useful in a planning context.

Suggested Citation

  • R White & G Engelen & I Uljee, 1997. "The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 24(3), pages 323-343, May.
    • Handle: RePEc:pio:envirb:v:24:y:1997:i:3:p:323-343
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    Citations

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    Cited by:

    1. Barry Boots & Ferko Csillag, 2006. "Categorical maps, comparisons, and confidence," Journal of Geographical Systems, Springer, vol. 8(2), pages 109-118, July.
    2. Holger Cammerer & Annegret Thieken & Peter Verburg, 2013. "Spatio-temporal dynamics in the flood exposure due to land use changes in the Alpine Lech Valley in Tyrol (Austria)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1243-1270, September.
    3. Eda Ustaoglu & Brendan Williams & Laura Petrov, 2017. "Scenario Analysis of Alternative Land Development Patterns for the Leipzig-Halle Region: Implications for Transport-Land-Use Sustainability," Urban Planning, Cogitatio Press, vol. 2(1), pages 108-129.
    4. Apostolos Lagarias, 2013. "Dynamics of Urban Sprawl: Applying a CA-based Model to Explore Future Development Scenarios in Thessaloniki," ERSA conference papers ersa13p304, European Regional Science Association.
    5. repec:eee:ecomod:v:211:y:2008:i:1:p:169-181 is not listed on IDEAS
    6. repec:gam:jeners:v:10:y:2017:i:11:p:1826-:d:118429 is not listed on IDEAS
    7. Liu, Dongya & Zheng, Xinqi & Zhang, Chunxiao & Wang, Hongbin, 2017. "A new temporal–spatial dynamics method of simulating land-use change," Ecological Modelling, Elsevier, vol. 350(C), pages 1-10.
    8. Heli Lu & Guifang Liu, 2015. "Opportunity Costs of Carbon Emissions Stemming from Changes in Land Use," Sustainability, MDPI, Open Access Journal, vol. 7(4), pages 1-18, March.
    9. repec:eee:ecomod:v:220:y:2009:i:18:p:2302-2309 is not listed on IDEAS
    10. Eric de Noronha Vaz & Peter Nijkamp & Marco Painho & Mario Gaetano, 2011. "A Multi-Scenario Forecast of Urban Change: A Study on Urban Growth in the Algarve," Tinbergen Institute Discussion Papers 11-142/3, Tinbergen Institute.
    11. repec:gam:jsusta:v:10:y:2017:i:1:p:61-:d:124697 is not listed on IDEAS
    12. 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.
    13. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    14. Yan Liu & Yongjiu Feng & Robert Gilmore Pontius, 2014. "Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling," Land, MDPI, Open Access Journal, vol. 3(3), pages 1-20, July.
    15. 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.
    16. repec:gam:jsusta:v:9:y:2017:i:5:p:796-:d:98172 is not listed on IDEAS
    17. Dagmar Haase, 2005. "Derivation of robust predictor variables for modelling urban shrinkage and its effects at different scales," ERSA conference papers ersa05p322, European Regional Science Association.

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