ZONING AND POTENTIAL CALCULATION FOR RURAL SETTLEMENTS CONSOLIDATION IN QINBA MOUNTAINOUS AREA BASED ON SPATIAL CHARACTERISTICS
SUN Jian-wei1,2, LUO Jing1,2, KONG Xue-song3, CUI Jia-xing1,2, TIAN Ye1,2
1. Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China;
2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;
3. College of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Abstract：Chinese rural settlements lacking of unified planning have gone through pronounced expansion contrary to rural population decline which resulted in the problems of land fragmentation, hollow village and led to pressure for stepped-up farmland protection efforts. Since there is still insufficient research on rural settlements consolidation zoning and potential calculation, based on spatial characteristics of rural settlements of mountainous region in middle and western China with complex hydrogeologic conditions, Zhuxi County located in the hinterland of Qinling-Bashan mountainous area and in the western part of Hubei province is taken as a case study. The spatial characteristics of rural settlements in Zhuxi County are measured to realize reasonable land consolidation zoning based on a series of GIS spatial analysis including terrain niche index, buffering analysis, accessibility, landscape, Voronoi index and spatial differentiation index. The results indicated that the spatial differentiation index of Zhuxi County rural settlements is located between 0.0433-0.8038, based on which, the county can be divided into priority consolidation region, key consolidation region, optimizing regulatory region and urban development region.
孙建伟, 罗静, 孔雪松, 崔家兴, 田野. 基于空间特征的秦巴山区农村居民点整理分区与潜力测算[J]. 人文地理, 2017, 32(2): 80-87,94.
SUN Jian-wei, LUO Jing, KONG Xue-song, CUI Jia-xing, TIAN Ye. ZONING AND POTENTIAL CALCULATION FOR RURAL SETTLEMENTS CONSOLIDATION IN QINBA MOUNTAINOUS AREA BASED ON SPATIAL CHARACTERISTICS. HUMAN GEOGRAPHY, 2017, 32(2): 80-87,94.
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