资源利用与管理

基于RAGA-AHP的工业行业土地集约利用评价——以江苏省为例

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  • 1. 南京大学 a.政府管理学院, b.国土资源与旅游学系, 南京 210093;
    2. 江苏省土地勘测规划院, 南京 210024;
    3. 江苏省无锡市国土局, 江苏 无锡 214000
赵小风(1978- ),男,湖北荆门人,讲师,博士,研究方向为土地经济与政策。E-mail: zhao-xf@126.com

收稿日期: 2010-12-26

  修回日期: 2011-04-11

  网络出版日期: 2011-08-20

基金资助

国家自然科学基金项目(40971104,40801063);国家社会科学基金重大项目(10ZD&030);海洋公益性行业科研专项经费项目(201105004);农业部公益性行业科研专项经费项目(200903001-1-4);国土资源部公益性行业科研专项经费项目(200811033)。

Evaluation of Industrial Trades Land Intensive Use with RAGA-AHP: A Case Study of Jiangsu Province

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  • 1. a. School of Government, b. China Department of Land Resources and Tourism Sciences, Nanjing University, Nanjing 210093, China;
    2. Jiangsu Land Surveying and Planning, Nanjing 210024, China;
    3. Land Resource Bureau, Wuxi 214000, China

Received date: 2010-12-26

  Revised date: 2011-04-11

  Online published: 2011-08-20

摘要

作为建设用地的重要组成部分,工业用地的节约集约利用直接影响到建设用地特别是城市土地利用和管理的效果。基于行业视角的工业行业土地集约利用评价能分析工业行业土地集约利用现状,揭示不同工业行业土地集约利用的差异,为制定工业行业土地集约利用控制标准提供参考。论文通过构建包含用地结构、用地强度、用地投入和用地产出在内的4个子目标、11个指标的工业行业土地集约利用评价指标体系,采用RAGA-AHP方法实现了江苏省工业行业土地集约利用评价。研究结果表明,实码加速遗传算法与层次分析法的集成,能获得高精度的权数并能保证全局收敛性;江苏省工业行业总体的土地集约利用水平较低。通信设备、计算机及其他电子设备制造业的集约度最高,为76.74;饮料制造业的土地集约度最低,仅13.42。不同行业的土地集约利用水平存在差异,且归属于同一类别的不同行业之间的土地集约利用水平差异不大,归属于不同类别的行业之间的土地集约利用水平差异显著。

本文引用格式

赵小风, 黄贤金, 李衡, 严长清, 张兴榆 . 基于RAGA-AHP的工业行业土地集约利用评价——以江苏省为例[J]. 自然资源学报, 2011 , 26(8) : 1269 -1277 . DOI: 10.11849/zrzyxb.2011.08.001

Abstract

As an important part of construction land, industrial trades land intensive use has effect on the management of urban land. Evaluation of land intensive use from industrial trades was made for explaining the current state and differences between various industrial trades land intensive use, which can provide some references for establishing the control standard of industrial trades land intensive use. Some typical enterprises were measured with the questionnaire for industrial land intensive use in Jiangsu Province. We got 1020 validated from 1047 questionnaires with answering rate of 97.42%, and got some industrial enterprise information about land use behavior, input-output, personnel composing and resource consumption by questionnaire survey. We established the index system which includes land use structure, land use intensity, land use input and land use output with four sub-goals and 11 indexes, in order to evaluate the industrial trades land intensive use. An analytic hierarchy process (AHP) evaluation method based on real coding based accelerating genetic algorithm (RAGA) is integrated. The results indicate that high weight precision and global convergence can be acquired with RAGA-AHP. The industrial trades land intensive use is low as a whole in Jiangsu Province. As for various industrial trades land, the intensity of communication and electron manufacture is 76.74, the highest of all trades, while the intensity of beverage manufacture is 13.42. In the 29 industrial trades, only three trades of land use intensity, which are electronic and telecommunications equipment, rubber products and leather products are more than 60. The difference of land use intensity between industrial trades which attached to the same kinds of industry is little, while that attached to the different kinds of industry is remarkable. The land use intensity from high to low is electron industry, chemical industry, mechanical industry, metallurgy industry, weaving industry, medical industry, agricultural products rough processing. Because the differences of industry specialty, production features between the same or similar trade are not significant. Accordingly, there are similar land use structure and land use intensity. So the characteristics of industry specialty, production features between different industries are the most important reason for their diversity of land intensive use.

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