Land use performance evaluation based on attribute weight optimization algorithm and analysis of land use performance differentiation.
JIA Yujie1,2, DU Zhenhong2, ZHANG Feng2, LIU Renyi2
1.Zhejiang Provincial Key Lab of GIS, Zhejiang University, Hangzhou 310028, China 2.Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China
Abstract：In order to understand the status of land use performance and explore the different characteristics of interregional performance. This study took the data covered 31 provinces from 2011 to 2015 for analysis. Firstly, 18 indicators from three aspects of land use structure, economic and social benefits and ecological sustainability were selected to establish performance evaluation index system. Secondly, the attribute weight optimization algorithm which integrates subjective and objective weights was adopted to determine the index weight, and the improved TOPSIS model was used to measure the performance value. Moreover, the interregional and innerregional differences on the total performance difference were analyzed by Theil index decomposition between groups quantitatively. The results show that: The eastern difference made the largest contribution to the overall difference, followed by the western and central minimums; The north and east China contributed more to the overall differences, while the northeastern and northwestern regions contributed little; The Beijing-Tianjin-Hebei-Shandong region and Jiangsu-Zhejiang-Shanghai region contributed a lot to the overall difference, while Qinghai-Tibet region, Shanxi-Hebei region, Hunan-Hubei-Anhui-Jiangxi region and northeast region contributed less. On the whole, the higher performance, the higher contribution to the difference. The lower performance, the lower contribution to the difference. The pattern of differences among the groups had existed for a long time.
贾玉杰, 杜震洪, 张丰, 刘仁义. 基于属性权重优化算法的土地利用绩效评价及差异分解分析[J]. 浙江大学学报（理学版）, 2019, 46(5): 610-618.
JIA Yujie, DU Zhenhong, ZHANG Feng, LIU Renyi. Land use performance evaluation based on attribute weight optimization algorithm and analysis of land use performance differentiation.. Journal of ZheJIang University(Science Edition), 2019, 46(5): 610-618.
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2019, Vol. 46 
