Cellular Automata and Multi-agent Systems as Planning Support Tools

Paul M. Torrens
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Paul M. Torrens: University College London

Chapter 12 in Planning Support Systems in Practice, 2003, pp 205-222 from Springer

Abstract: 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.

Keywords: Geographic Information System; Cellular Automaton; Cellular Automaton; Urban System; Discrete Choice Model (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/978-3-540-24795-1_12

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