地理学报 ›› 2006, Vol. 61 ›› Issue (10): 1101-1112.doi: 10.11821/xb200610010

• 土地利用 • 上一篇    下一篇

基于多智能体的土地利用模拟与规划模型

刘小平,黎夏,艾彬,陶海燕,伍少坤,刘涛   

  1. 中山大学地理科学与规划学院,广州 510275
  • 收稿日期:2006-04-10 修回日期:2006-06-22 出版日期:2006-10-25 发布日期:2006-10-25
  • 通讯作者: 黎夏, 男, 特聘教授, 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:刘小平 (1978-), 男, 博士生, 主要从事遥感和地理信息系统研究,已发表论文10余篇。E-mail: yiernanh@163.com
  • 基金资助:

    国家杰出青年基金项目 (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)

Multi-agent Systems for Simulating and Planning Land Use Development

LIU Xiaoping, LI Xia, AI Bin, TAO Haiyan, WU Shaokun, LIU Tao   

  1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2006-04-10 Revised:2006-06-22 Online:2006-10-25 Published:2006-10-25
  • Supported by:

    The National Science Fund for Distinguished Young Scholars, 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

摘要:

利用多智能体和元胞自动机对城市土地资源的可持续利用进行了规划。根据环境经济学资源分配原理和可持续发展理论,提出结合多智能体及元胞自动机的微观规划模型,在时间和空间上合理分配及规划城市土地资源的利用,以避免浪费不可再生的土地资源。该模型由相互作用的多智能体层、元胞自动机层和环境因素层组成,可方便地探索不同土地利用政策下城市土地利用发展情景,能够为城市规划提供有用的决策依据。以广州市海珠区为实验区,在可持续发展为前提的规划下,模拟了1995-2010年的城市扩展的动态变化,并讨论了在不同规划情景下城市土地资源的利用效率及合理性。

关键词: 多智能体, 元胞自动机, 可持续发展, 城市规划, 土地资源, 广州

Abstract:

This paper proposes a new method to simulate development plans based on the integration of multi-agent systems (MAS) and cellular automata (CA). The proposed model consists of three related components, i.e., multi-agent systems, cellular automata (CA) and GIS. The mechanism to achieve spatial and temporal efficiency in using land resources is implemented according to the theories of environmental economics and sustainable development. This scheme is helpful for promoting sustainable use of land resources in fast growing regions. The proposed model is applied to the simulation of land use dynamics in the Haizhu district of Guangzhou in 1995-2010. The model is able to simulate various planning scenarios and provide a spatial exploratory tool for planning purposes.

Key words: multi-agent systems, cellular automata, sustainable development, urban planning, land resource, Guangzhou