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广西城市土地集约利用时空差异分析
引用本文:周丽青,杨如军,詹长根.广西城市土地集约利用时空差异分析[J].水土保持研究,2017,24(2):272-277.
作者姓名:周丽青  杨如军  詹长根
作者单位:1. 武汉大学 资源与环境科学学院, 武汉 430072;2. 广西国土资源信息中心, 南宁 530028
摘    要:城市土地集约利用是城市可持续发展的前提。首先,采用指标频率统计法和德尔菲法从土地投入强度、利用强度、利用效益及利用可持续性四个方面构建了城市土地集约利用评价指标体系;其次,采用主成分分析法对广西(2005—2014年)及其14个地级市(2014年)城市土地集约利用水平进行综合评价。结果表明:2005—2014年,广西城市土地集约利用水平呈现逐年递增趋势;2014年,广西14个市土地集约利用水平空间差异较大,表现为:桂北、桂南、桂中地区较高,桂东次之,桂西较低的特点,土地集约利用的空间差异与各市的区位条件、发展基础和经济发展水平有一定关系。

关 键 词:城市土地集约利用  时空差异  主成分分析  广西

Analysis of Spatial-Temporal Disparity of Urban Land Intensive Utilization in Guangxi Zhuang Autonomouse Region
ZHOU Liqing,YANG Rujun,ZHAN Changgen.Analysis of Spatial-Temporal Disparity of Urban Land Intensive Utilization in Guangxi Zhuang Autonomouse Region[J].Research of Soil and Water Conservation,2017,24(2):272-277.
Authors:ZHOU Liqing  YANG Rujun  ZHAN Changgen
Institution:1. School of Resource and Environment Sciences, Wuhan University, Wuhan 430072, China;2. Guangxi Land and Resources Information Center, Nanning 530028, China
Abstract:Intensive utilization of urban land is a prerequisite for the sustainable development of the city. Firstly, an evaluation index system was constructed from the aspects of land investment intensity, land use degree, land use benefit and land use sustainability by adopting the frequency statistics and Delphi; secondly, intensive urban land utilization degree in Guangxi Zhuang Autonomouse Region from 2005 to 2014 and that of its 14 cities in 2014 were synthetically evaluated by using the principal component analysis. The results show that the intensive urban land utilization of Guangxi Zhuang Autonomouse Region presented a rising trend from 2005 to 2014; the spatial differences of the intensive land utilization degree of 14 cities in Guangxi Zhuang Autonomouse Region were obvious in 2014, Guibei,Guinan and Guizhong were higher, Guidong was the second and Guixi was the lowest, and there was a certain relationship between the spatial differences of intensive land utilization and regional conditions, development foundation and economic growth of 14 cities.
Keywords:urban land intensive utilization  spatial-temporal disparity  principal component analysis  Guangxi Zhuang Autonomouse Region
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