基于多智能体的地理空间分异现象模拟 ———以城市居住空间演变为例
收稿日期: 2006-06-20
修回日期: 2006-12-20
网络出版日期: 2007-06-25
基金资助
国家自然科学杰出青年基金项目(40525002); 国家自然科学基金项目(40471105); “985 工程”GIS 与遥感 的地学应用科技创新平台项目(105203200400006)
Method Explor ation of Geogr aphical Spatial Differ entiation Based on Multi-agent: A Case Study of Urban Residential Simulations
Received date: 2006-06-20
Revised date: 2006-12-20
Online published: 2007-06-25
Supported by
National Outstanding Youth Foundation of NSFC, No.40525002; National Natural Science Foundation of China, No.40471105; “985 Project” of GIS and Remote Sensing for Geosciences from the Ministry of Education of China, No.105203200400006
许多地理现象都存在一定的空间分异规律。研究地理空间分异现象的形成与发展有重要的理论意义。基于“从上至下”的方程式方法很难对这些现象的形成过程进行解析。采用“自下而上”的多智能体系统, 对复杂地理现象的分异过程进行了重现。采用java-swarm 仿真技术, 以城市居住空间分异现象为例, 模拟出城市系统从无序走向有序的过程, 为发展和验证城市理论提供了一种重要的分析手段。基于多智能体的居住空间分异模型展现了居民智能体聚集现象的产生过程及对房屋价值的影响, 比较了居民不同收入差异情况下对居住空间分异的影响。模拟结果表明居住空间分异现象是一个历史的必然; 收入差异扩大使中低收入阶层在居住的空间区位选择上处于被动地位。
陶海燕, 黎夏, 陈晓翔, 刘小平 . 基于多智能体的地理空间分异现象模拟 ———以城市居住空间演变为例[J]. 地理学报, 2007 , 62(6) : 579 -588 . DOI: 10.11821/xb200706003
Many geographical phenomena have some spatial differentiation rules. So it is of theoretical significance to research the formation and development of the geographical spatial differentiation. But a top-down approach has difficulty in analyzing evolvement of these geographical phenomena. This paper represents the bottom-up approach based on multi-agent system and reproduces the differentiation of complex geographic phenomena. With technologies of java-swarm simulation, this paper simulates urban system from chaos to order and provides the analysis approach to develop and verify the urban theories. In order to implement a segregate urban spatial structure at macro level emerging from simple rules established at micro level, the model based on multi-agent is constructed as follows: simulated inhabitants wander through the universe to find the optimal place of residence according to constraints as their incomes and perception of the environment. And the model consists of four related components, i.e., environment controller, the city's housing infrastructure, inhabitant agents and rules controller. Negative exponential function (E = e-ax) isintroduced to represent income distribution, where a is defined as a factor of income gap,changing of x can represent the dynamics of the income of agent. The housing infrastructure of the model is a M×M square lattice cells, which symbolize houses. The migration decision of agent depends on the residential pressure. It is suggested that the probability of leaving its current location increases monotonically with an increase in the residential pressure. And the residential pressure of an agent is estimated by its economic tension and environment pressure. On the Swarm platform, Java language is used to realize the model. The spatial differentiation model exhibits the progress of residents' aggregating and the influence of houses' values. Under the different factors of income gap, the influences of spatial differential are compared. Results of simulation show that spatial differentiation is an inevitable result. And widening of income gap makes poorer passivity in choosing house location.
Key words： multi-agent; geographical spatial differentiation; swarm; urban system
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