Cluster-Based Protection Mechanisms for Coastal Traditional Villages: A Complex Network Analysis Approach with a Case Study of Rongcheng, Shandong Province (Part 1)
Author(s): |
Hanyang Wang
Yuetao Wang Zhen Ren Chengbin Wu Wenpeng Song |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 20 February 2025, n. 5, v. 15 |
Page(s): | 784 |
DOI: | 10.3390/buildings15050784 |
Abstract: |
Traditional villages are intricate socio-spatial systems shaped by multi-scalar interactions encompassing natural, cultural, and hierarchical dimensions. Despite their significant cultural and ecological value, conventional unit-based conservation methods often overlook systemic interdependencies within and between villages, leading to spatial fragmentation, inefficient resource utilization, and the erosion of distinct cultural identities. To address these limitations, this study proposes a cluster-based protection framework, integrating complex network theory with GIS-supported spatial network analysis. Focusing on Rongcheng’s coastal villages in Shandong Province, the research develops a multi-scale analytical model, incorporating macro-regional clusters, meso-level village group dynamics, and micro-unit cultural nodes. By leveraging clustering effects, the model enhances connectivity, cultural synergies, and network resilience. The findings offer a systematic and scalable conservation strategy, providing actionable insights to align heritage preservation with regional development and ecological sustainability, while ensuring broad applicability across diverse geographical and cultural contexts. |
Copyright: | © 2025 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10820701 - Published on:
11/03/2025 - Last updated on:
11/03/2025