地理学报

地理学报 ›› 2011, Vol. 66 ›› Issue (7): 972-984.doi: 10.11821/xb201107010

• 土地利用 • 上一篇    下一篇

多智能体区域土地利用优化配置模型及其应用

张鸿辉1,2,3, 曾永年1,2, 谭荣4, 刘慧敏1,2   

  1. 1. 中南大学地球科学与信息物理学院, 长沙 410083;
    2. 中南大学空间信息技术与可持续发展研究中心, 长沙 410083;
    3. 长沙市规划信息服务中心, 长沙 410013;
    4. 浙江大学公共管理学院, 杭州 310028
  • 收稿日期:2010-07-12 修回日期:2010-07-12 出版日期:2011-07-20 发布日期:2011-07-20
  • 通讯作者: 曾永年, 教授, E-mail: ynzeng@mail.csu.edu.cn
  • 作者简介:张鸿辉(1980-), 男, 博士生, 湖南长沙人, 主要从事遥感与地理信息系统应用研究。E-mail: zhhgis@163.com
  • 基金资助:

    国家自然科学基金项目(40771198); 湖南省自然科学基金项目(08JJ6023)

A Model for Regional Land Use Optimization Allocation Based on Multi-agent System and Its Application

ZHANG Honghui1,2,3, ZENG Yongnian1,2, TAN Rong4, LIU Huimin1,2   

  1. 1. School of Geoscience and Geomatics;
    2. Center for Geomatics and Sustainable Development Research, Central South University, Changsha 410083, China;
    3. Changsha planning information service center, Changsha 410013, China;
    4. School of Public Administration, Zhejiang University, Hangzhou 310028, China
  • Received:2010-07-12 Revised:2010-07-12 Online:2011-07-20 Published:2011-07-20
  • Supported by:

    National Natural Science Foundation of China, No.40771198; Natural Science Foundation of Hunan, No.08JJ6023

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摘要： 土地利用优化配置对促进区域可持续土地利用具有重要意义,然而现有的土地利用优化配置模型引导可持续土地利用的能力有待提高。本文从整体考量区域土地利用优化配置数量、空间、时间三维特征的角度,定义了区域土地利用优化配置多智能体系统及其决策行为规则,构建了基于多智能体系统的区域土地利用优化配置RLUOA (Regional Land Use OptimizationAllocation) 模型,并以中部地区典型城市——长沙市为例开展了实证应用研究。研究结果表明：该模型能够将规划时间段内多目标约束的区域土地利用规模的数量结构合理配置到不同的空间单元,实现土地利用数量结构、空间布局、效益的协同优化,构建整体上经济可行、社会可接受、生态环境友好的土地利用格局,并明显提高区域整体土地利用经济、生态和社会效益,从而能够为促进区域土地资源可持续利用和制定土地利用总体规划提供参考借鉴。

关键词: 区域土地利用配置, 数量优化, 空间优化, 效益优化, 多智能体系统, 可持续发展, 微粒群优化

Abstract: Land use optimization allocation is one of the important aspects of sustainable regional land use. However, the current prevalent land use optimization allocation model, which is used for directing a sustainable land use system, needs to be improved, because the current models ignore the collaborative optimization of land uses in terms of quantitative structure, spatial pattern, and benefit. The objective of this paper is to establish a new model to solve the shortcomings, i.e., the RLUOA (Regional Land Use Optimization Allocation) model, which aims to achieve regional sustainable land use. The model is established through a multi-agent system, which defines respectively the decision making rules of the related agents including the central government of the region, the branches of the government that implements the downstream orders, and the land users practically using the land. The RLUOA model was applied to the simulation of land use optimization allocation in Changsha, a typical city located in central China. The simulation result shows that the model can reasonably allocate the land into different spatial units under the constraint of multi-objective, and achieve the collaborative optimization of land use in terms of quantitative structure, spatial pattern, and benefit. The resulted optimal land allocation meets the requirements of building economically feasible, socially acceptable, and environment-friendly land use pattern, and improves obviously the overall economic, ecological and social benefits of the land use in the region. Consequently, the model can provide auxiliary support and scientific references for the decision making associated with sustainable regional land use and for the general land use planning design.

Key words: land use allocation, quantitative optimization, spatial optimization, beneficial optimization, multi-agent system, sustainable development, Particle Swarm Optimization