Spatial Reconstruction of Traditional Villages towards Synergistic Development in the Fuchun River Basin Based on the Gravity Model

• Published in: Land (Basel) 2023-05, Vol.12 (5), p.1037
• Main Authors: Wang, Jing, Zhang, Yaping, Yang, Guofu, Wang, Yinyi, Cheng, Xiaomeng, Xu, Bin
• Format: Article
• Language: English
• Subjects: Basins (Geology); Cooperation; Cultural heritage; Economic aspects; Economic research; Environmental aspects; GDP; Graph theory; Gravity; Gross Domestic Product; Network analysis; Planning; planning policy; Qualitative research; Regeneration; Research methodology; River basins; Rivers; Rural areas; Rural development; rural landscape; social network analysis; Social networks; Social organization; spatial network structure; Subgroups; Sustainable development; Towns; Villages; Watersheds
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land12051037

With the continuous promotion of the rural revitalisation strategy, the planning and organisation of individual villages can hardly adapt to the current development needs of rural areas, causing synergistic development among villages to become a critical goal in promoting the sustainable development of rural areas. Reconstructing the development space of traditional village clusters can reduce their development gaps and promote coordinated development. Understanding the connections between traditional village units can support adaptive reconstructions of village spatial network structures and offer scientific and reasonable development planning strategies. Based on geographical and economic data publicly released in 2022, this study takes the traditional villages of the Fuchun River Basin in China as an example and uses village development quality and the shortest traffic time crawled in real time by Python to construct a spatial connection model of traditional villages in the Fuchun River Basin. The study also uses social network analysis to analyse the characteristics of the spatial network structure. The results show that (1) the intensity of spatial connections in these traditional villages is severely polarised and imbalanced. (2) The spatial network structure is in the development stage; few villages act as intermediaries, and the networks have poor connectivity and integrity. (3) The connection density within cohesive subgroups varies considerably. No complete transmission path exists among the subgroups, and the path of collaborative development is imperfect. These findings can optimise and reconstruct the selected spatial network of traditional villages to integrate and upgrade their development. The framework system also holds reference significance for other similar rural traditional villages.