Affiliation:
1. School of Architecture and Urban Planning, Jilin Jianzhu University, Changchun 130118, China
2. The Jilin Province Ecological Wisdom Urban Innovation and Development Strategy Research Center, Changchun 130118, China
3. Architectural and Urban-Rural Design Energy Conservation Research Center (Sub-Laboratory of Ministry of Education MOE Key Laboratory of Building Comprehensive Energy Conservation in Cold Region), Changchun 130118, China
4. Fuzhou Planning and Design Research Institute Group Co., Ltd., Fuzhou 363899, China
Abstract
Traditional villages have reached milestones in developing a living culture, politics, economy, and society, among other aspects, while acting as important carriers of agricultural culture formed by long-term interactions between humans and nature. Unfortunately, traditional villages could disappear with the advent of urbanization. Therefore, this study enhances the accuracy of traditional village classification protection work by examining traditional villages in the Jinjiang River Basin in Quanzhou, China. A spatial pattern is extracted for the socio-ecological systems (SES) prototype of traditional villages, and an SES classification protection system is constructed based on a prototype analysis. Given the evaluation results, a K-means cluster analysis is applied to establish the SES sustainability levels for six types of traditional villages. After adjusting the types according to the principles of sustainability, equilibrium, and individual cases, six SES system types are identified: SES decay and shrinkage (Type 1), SES fusion and development (Type 2), SES ecological decline (Type 3), SES social decline (Type 4), SES ecological conservation (Type 5), and SES extensive development (Type 6). This system provides a quantitative analysis method to classify and protect concentrated and contiguous traditional villages. It also helps facilitate a better understanding of local rural society, economy, and culture, especially a deeper understanding of the interactions between humans and the rural environment.
Funder
Humanities and Social Science Fund of the Ministry of Education [Wisdom mining and spatial gene map construction for regional landscape construction of traditional villages in northern China]
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