Abstract: The use of Multi-agent Systems/Simulations (MAS) can help to represent humanenvironment interactions in dealing with complex land-use problems by examining how different entities influence the process of land development. In this paper, we simulate the urban growth of the Greater Toronto Area (GTA) from 1985 to 2005 using MAS. After analyzing the driving force in this area, three different types of agents are defined: residents, developers and government, in terms of their diverse characteristics in real society. Considering different even opposite demands of residents in residential development, we divide residents into two parts: new residents and existing residents. In the beginning of running this expansion model, we allocate the agents with a spatio-temporal criterion to obtain a better simulation. The preliminary result shows that multi-agent model has some advantages in simulating urban sprawl phenomenon.
Posted on: Sat, 10 Jan 2015 21:06:51 +0000
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