Restructuring Practice
Rui SU, Cheng WANG, Ning TANG, Qing PENG, Yuqin LONG
Spatial network of village and town communities is a spatial organization form that relies on the town and takes the village and town communities as nodes and connections between nodes as edges. Exploring its structural characteristics and optimization strategies is of great significance for guiding the sound flow of factors and improving network operation efficiency. By selecting 19 village and town communities in Fenghuang Town of Shapingba District, Chongqing Municipality as network nodes, this study applied the modified gravitational intensity model to explore the connections between these nodes. Using GIS tools, social network analysis method, and correlation analysis method, this study examined the general characteristics, node characteristics, and characteristics of difference of the spatial network structure of the village and town communities, and established the network optimization strategies. The results show that the spatial network of the village and town communities is in a low level, unbalanced stage of development, which possess characters of both general looseness and local agglomeration, the small world characteristic, and the association difference between cohesive subgroups is significant. The spatial network of the village and town communities exhibited a 3-level node structure that takes the town community as the core, community 5, 7, 4, 10, and 14 as secondary cores, and contains the other communities, among which the structural hole advantage of the core nodes needs further enhancing. Various social attributes of community residents cause different effects to the network structure. On these bases, this study constructed a "one axis, one core, eighteen nodes, one network, and fifty-seven links" spatial network pattern by improving functions of the nodes, building the node hierarchy, and strengthening economic relations among nodes, and therefore providing a demonstration for current and future rural community construction.