城市演化的多主体(multi-agent)模型研究

Researh on Urban Evolution Using Agent-Based Simulation

采用基于主体建模(Agent-basedModeling,ABM)的方法设计了一个城市演化的模拟模型,旨在探索城市中居民、企业等大量微观主体非线性互作互动而导致的宏观空间结构的演化过程.作者针对城市空间演化的几种典型模式,利用在Swarm环境下实现的多主体(multi-agent)城市模拟系统,通过微观层面的动态模拟进行分析和对比,并结合定性的认识对所模拟的城市演化模式进行了评价和讨论,为可持续的城市规划和管理提供理论支持.

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.