Researh on Urban Evolution Using Agent-Based Simulation
城市演化的多主体(multi-agent)模型研究

In this paper, an agent\|based urban model is setup for further understanding the urban spatial evolution. The model is coping with land\|use and land\|transformation processes that occur in a spatial/landscape setting, including the human\|behavioral component of the populations and individuals occupying these spatial settings. The determinants of an agent's behavior have a local character and there is no global constraint on the system's evolution. The general behavior of the regional spatial evolution is produced by the combination of actions of the households and enterprises. Therefore, it is a good alternative way of simulating the evolutional process of the regional spatial structure by modeling behaviors of these local active agents and their interactions. Socio\|economic behavior and individual choices are highly correlated with land use and land cover changes through time and space. Decision\|making about the optimal choices cannot be assumed to be a matter of rational\|behavior in a traditional economic setting, but, rather, a process where an agent (an individual) has to reach a decision from a pool of available choices that they are subject to limited information. The result shows this agent\|based urban model is able to perform this regeneration and to produce likely\|to\|occur projections of reality.