Sustainability Assessment and Spatial Optimization of Minority Characteristic Villages Based on the Minimum Cumulative Resistance Model: A Case Study of Qiandongnan, China
The sustainable development of minority characteristic villages (MCVs) is crucial to regional diversity, equality, and inclusion. However, it also faces multi-dimensional challenges, especially spatial imbalance. Taking Qiandongnan, China as a typical case, this study employed multiple methods to assess the sustainability of MCVs. First, this study constructed a comprehensive resistance surface integrating social, economic, and environmental dimensions based on the Minimum Cumulative Resistance (MCR) model and conducted a systematic assessment of the sustainability of MCVs in Qiandongnan. Second, this study evaluated the spatial distribution characteristics of MCV’s sustainability based on the kernel density analysis and the gravity model. Finally, this study proposed a targeted spatial optimization pathway. The results reveal there are significant spatial differences in MCVs; villages in the central, southern, and central-western Qiandongnan exhibit stronger sustainability, whereas the southwest and eastern regions are weak. Seven core villages and one key node were identified. Five sustainable development corridors were established to enhance spatial connectivity. This study provides novel insights for optimizing the spatial governance of MCVs for achieving regional sustainable development and enriches the knowledge body of global rural revitalization.
Authors
- Min Wang (ORCID: https://orcid.org/0000-0001-5834-4058)
- Qianxi Zhang (ORCID: https://orcid.org/0000-0001-6233-4303)
- Zhe Cheng (ORCID: https://orcid.org/0000-0002-3777-3934)
- An Huang (ORCID: https://orcid.org/0000-0002-3452-0974)
Institutions
- Xi'an University of Architecture and Technology (CN)
- Ningbo University of Technology (CN)
Publication Details
- Journal
- Land
- Published
- 2025-05-27
- DOI
- https://doi.org/10.3390/land14061154
- Citations
- 1
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Natural Science Foundation of China