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[1]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(02):272-277.

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Analysis of Spatial-Temporal Disparity of Urban Land Intensive Utilization in Guangxi Zhuang Autonomouse Region

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 02 Page number: 272-277 Column: Public date: 2017-04-28

Title:: Analysis of Spatial-Temporal Disparity of Urban Land Intensive Utilization in Guangxi Zhuang Autonomouse Region

Author(s):: ZHOU Liqing¹, YANG Rujun², ZHAN Changgen¹; 1. School of Resource and Environment Sciences, Wuhan University, Wuhan 430072, China;
2. Guangxi Land and Resources Information Center, Nanning 530028, China

Keywords:: urban land intensive utilization; spatial-temporal disparity; principal component analysis; Guangxi Zhuang Autonomouse Region

CLC:: F293.2

DOI:: -

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.

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