Cellular Automata and Multi-Agent Systems as Planning Support Tools
نویسنده
چکیده
'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 their fragilities before reviewing a 'new wave' of urban models. Additionally, it considers the challenges facing the use of new techniques in operational models.
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