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[1]SONG Chengshun,XIONG Zheng,LIU Yiguang.Study on Obstacle Indicators of Urban Intensive Land Use Benefits—A Case Study of Xianning City[J].Research of Soil and Water Conservation,2016,23(02):327-332.

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Study on Obstacle Indicators of Urban Intensive Land Use Benefits—A Case Study of Xianning City

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 02 Page number: 327-332 Column: Public date: 2016-04-28

Title:: Study on Obstacle Indicators of Urban Intensive Land Use Benefits—A Case Study of Xianning City

Author(s):: SONG Chengshun¹, XIONG Zheng¹, LIU Yiguang²; 1. School of Resources and Environment Science & Engineering, Hubei University of Science and Technology, Xianning, Hubei 437100, China;
2. Wuhan Land Trading Center, Wuhan 430010, China

Keywords:: urban land; intensive use benefits; obstacle degree; entropy-TOPSIS method; Xianning City

CLC:: F301.24

DOI:: -

Abstract:: Improving the efficiency of the urban intensive land utilization is the inevitable requirement of the construction of ‘two type society’. Xianning City was taken as a case study in this paper. We established evaluation index system for land use benefits from the aspects of social development, economic level, ecological response and environmental quality, and analyzed urban intensive land use benefits and its obstacle indicators by using the entropy-TOPSIS method and the obstacle degree model. The results showed that: (1) from 1999—2010, the urban intensive land utilization benefits increased steadily in waves with an average annual of 10.38%, growth was faster in the late. Urban intensive land utilization benefits experienced the low benefit phase (1999—2001), moderate benefit phase (2002—2007), and high benefit phase (2008—2010), moderate benefit stage was the main phase; (2) economic level and ecological response have the bigger influence on the urban intensive land utilization benefits. Before 2010, the per capita GDP was the biggest obstacle factor, while the amount of emissions per unit area was the biggest obstacle factor in 2010.

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