• 区域发展 •

### 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

1. 中山大学地理科学与规划学院, 广州510275
• 收稿日期:2006-06-20 修回日期:2006-12-20 出版日期:2007-06-25 发布日期:2007-06-25
• 通讯作者: 黎夏(1962-), 男, 特聘教授, 博导, 从事遥感和地理信息系统研究, 已发表GIS 和遥感论文120 余篇。 E-mail: lixia@mail.sysu.edu.cn
• 作者简介:陶海燕(1966-), 女, 讲师, 在读博士, 主要研究方向: 地理信息系统。E-mail: taohy@mail.sysu.edu.cn
• 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

TAO Haiyan, LI Xia, CHEN Xiaoxiang, LIU Xiaoping

1. School of Geographical Sciences and Planning, Sun Yat-sen University, Guangzhou 510275, China
• Received:2006-06-20 Revised:2006-12-20 Online:2007-06-25 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

Abstract:

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.