摘要
精明增长理念对于解决我国城市化快速发展中面临的一系列问题具有重要的现实意义。土地利用结构优化配置是实现精明增长的核心内容之一。为此,本文尝试对精明增长指导下区域土地利用结构优化配置进行研究,旨在从土地利用角度在理论和实践上进一步充实、完善乃至深化精明增长的一些研究理论与定量分析方法。本研究首先明确了精明增长指导下区域土地利用结构优化配置的内涵,构建了土地利用精明增长度测度体系;接着,构建了灰色多目标动态规划模型对区域土地利用结构进行优化,经运算求解可以得出几种备选优化方案;在此基础上,采用灰色关联度分析及主成分投影相结合的方法进行方案择优,以最终确定土地利用结构优化方案。并以江苏宜兴为例,对精明增长指导下区域土地利用结构优化配置进行了有益尝试。
Smart growth concepts are useful for addressing problems related to China＇s rapid urbanization. One important component of implementing smart growth is the optimization of land use. This paper analyzes regional land use structure based on principles of smart growth, and identifies ways to accelerate the optimal use of land resources. First, this study defines optimal regional land use structure and proposes a system for evaluating land use in terms of smart growth. We built a model using gray multi- objective and dynamic programming to optimize regional land use structure, which identifies several options for optimization programs. We then used a combination of gray correlation analysis and principal components projection to select a final plan for land use optimization. Yixing in Jiangsu Province is used as a case study to demonstrate the optimal regional land use structure. The results show the usefulness of our model and analysis for addressing regional land use based on principles of smart growth. Policymakers can select an appropriate plan and control land use structure in time and space, and the use of gray correlation analysis and principal components projection to compare programs ensures that the plan is scientific and rational. Yixing＇ s land use structure optimization program for 2010 is compared with the existing plan from 2004. The final plan incorporates considerations of smart growth, food security, demand for residential and industrial land, and transportation needs, as well as a balance between water conservation and regional economic development.
出处
《资源科学》
CSSCI
CSCD
北大核心
2008年第6期912-918,共7页
Resources Science
关键词
精明增长
土地利用结构
优化配置
区域
宜兴
Smart growth
Land use structure
Optimization
Regional planning
Yixing
