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Cellular Automata and Multi-agent Systems as Planning Support Tools

In: Planning Support Systems in Practice

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  • Paul M. Torrens

    (University College London)

Abstract

Traditional’ urban simulation models have a number of weaknesses that limit their suitability as planning support tools. However, a new wave of models is currently under development in academic circles, and it is beginning to find application in practical contexts. Based around two simulation techniques that have origins in artificial life and artificial intelligence — cellular automata and multi-agent systems — it offers great potential for planning support tools, with the capacity to simulate individual households and units of the built environment in a truly dynamic, realistic and highly flexible manner. This chapter presents an overview of traditional land use and transport models as planning support tools and examines theirfragilities before reviewing a new wave of urban models. Additionally, it considers the challenges facing the use of new techniques in operational models.

Suggested Citation

  • Paul M. Torrens, 2003. "Cellular Automata and Multi-agent Systems as Planning Support Tools," Advances in Spatial Science, in: Stan Geertman & John Stillwell (ed.), Planning Support Systems in Practice, chapter 12, pages 205-222, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24795-1_12
    DOI: 10.1007/978-3-540-24795-1_12
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    Cited by:

    1. Jaekyung Lee & Galen Newman & Yunmi Park, 2018. "A Comparison of Vacancy Dynamics between Growing and Shrinking Cities Using the Land Transformation Model," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    2. 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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