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低碳视角下的重庆市土地集约利用评价研究
引用本文:李欣欣,张安明.低碳视角下的重庆市土地集约利用评价研究[J].水土保持研究,2014,21(4):268-273.
作者姓名:李欣欣  张安明
作者单位:西南大学 地理科学学院, 重庆 400715
摘    要:低碳经济和土地集约利用相结合是目前土地集约利用研究中鲜有涉及的领域,从低碳视角对重庆市土地集约利用进行评价,运用AHP方法构建低碳土地集约利用评价指标体系,利用模糊综合评价方法建立针对重庆市低碳视角的土地集约利用评价模型,并针对评价结果进行障碍度分析,为重庆市编制低碳城市发展规划,合理利用城市土地提供参考。研究结果表明:(1)重庆市土地利用正在向集约化低碳化方向发展,2005—2011年土地投入强度和土地产出水平发挥着主要作用;(2)影响重庆市土地低碳集约利用的因子主要是土地低碳水平、土地可持续性和土地利用程度。评价结果反映了低碳视角下的重庆市土地集约利用现状,分析了重庆市土地低碳集约利用的影响因素,为今后土地的低碳集约利用提供决策支持。

关 键 词:低碳经济  土地集约利用  模糊综合评价  重庆市

Research on Evaluation of Intensive Land Use in Chongqing City from the Perspective of Low-Carbon
LI Xin-xin,ZHANG An-ming.Research on Evaluation of Intensive Land Use in Chongqing City from the Perspective of Low-Carbon[J].Research of Soil and Water Conservation,2014,21(4):268-273.
Authors:LI Xin-xin  ZHANG An-ming
Institution:School of Geographical Sciences, Southwest University, Chongqing 400715, China
Abstract:The combination of low-carbon economy and intensive land-use utilization was rarely studied in the intensive land-use field. This paper attempts to evaluate the intensive land-use in Chongqing from low-carbon view, build a low-carbon intensive land-use evaluation index system with the AHP method, and establish an intensive land-use evaluation model which focuses on low-carbon view of Chongqing City by the fuzzy synthetic evaluation method, analyze obstacle degree on the evaluation results, and provide a reference for low-carbon intensive land-use evaluation research. And the evaluation results show that: (1) the land-use in Chongqing City is moving towards intensification and low-carbonization, and land investment intensity and land output level play a major role from 2005 to 2011; (2) the main factors affecting low-carbon intensive land-use in Chongqing City are land low-carbon level, land sustainability and land use degree. These evaluation results reflect the intensive land-use situation in perspective of low-carbon in Chongqing City, analyze the influencing factors of low-carbon intensive land-use in Chongqing City, and provide decision support for low-carbon intensive land-use in the future.
Keywords:low-carbon economy  intensive land-use  fuzzy comprehensive evaluation  Chongqing City
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