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安徽省建设用地时空结构变化及影响因素研究
引用本文:李瑶,李久林,童亮.安徽省建设用地时空结构变化及影响因素研究[J].资源开发与市场,2020(5):465-470.
作者姓名:李瑶  李久林  童亮
作者单位:安徽建筑大学建筑与规划学院;南京大学建筑与城市规划学院
基金项目:国家自然科学基金项目“‘古徽州’传统聚落空间网络特征、形成机制及对乡村规划的启示”(编号:51678001)。
摘    要:基于信息熵模型分析2012-2017年安徽省及16个地市建设用地结构,并借助灰色关联理论探究了影响信息熵的内外部因素。结果表明:(1)研究期内,信息熵与均衡度均略有下降,而优势度略有上升,建设用地结构趋向稳定;(2)2017年信息熵高值区有6个城市,中熵值区有7个,低熵值区有3个;(3)安徽省建设用地信息熵与居住用地具有强关联,与公共管理与公共服务用地、道路交通设施用地、公用设施用地关联度较低;(4)社会经济发展对建设用地信息熵影响较大,滁州与池州的受影响程度最为显著。

关 键 词:建设用地结构  灰色关联分析  影响因素  经济驱动力  安徽省

Study on Temporal and Spatial Structure Changes and Influencing Factors of Construction Land in Anhui Province
LI Yao,LI Jiu-lin,TONG Liang.Study on Temporal and Spatial Structure Changes and Influencing Factors of Construction Land in Anhui Province[J].Resource Development & Market,2020(5):465-470.
Authors:LI Yao  LI Jiu-lin  TONG Liang
Institution:(School of Architecture and Urban Planning,Anhui Jianzhu University,Hefei 230022,China;School of Architecture and Urban Planning,Nanjing University,Nanjing 210093,China)
Abstract:On the basis of the information entropy model,the construction land structure in Anhui Province from 2012 to 2017 was ana lyzed,and the grey correlation theory was used to examine the internal and external factors affecting information entropy.The results showed that:(1)During the study period,both information entropy and equilibrium degree decreased slightly,whereas,dominance degree increased slight ly and construction land structure tended to be stable.(2)In 2017,six cities had high information entropy values,seven cities had medium infor mation entropy values and three cities had low information entropy values.(3)The information entropy of construction land in Anhui Province had a strong correlation with residential land and had a weak correlation with administrative and public service lands,road,street and transportation lands and municipal utility lands.(4)Socio-economic development had a significant effect on the information entropy of construction land,par ticularly in Chuzhou City and Chizhou City.
Keywords:construction land structure  grey correlation analysis  influencing factor  economic driving force  Anhui Province
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