Comparison of Flood Resilience Between Low-Carbon and Traditional Communities: A Case Study of Kunming, China
Under China’s dual carbon strategy, low-carbon city construction is expected to help reduce urban flood risks. However, the flood resilience of low-carbon communities remains unclear, limiting effective disaster prevention. This study examines traditional and newly built low-carbon communities in Kunming, establishing indices for community flood resilience and low-carbon development according to current national and local standards. Flood resilience (UFR) and low-carbon development level (ULC) were measured using the critic–entropy weight and TOPSIS methods, and a coupling coordination analysis model was used to analyze their correlation and coordination. The results are as follows: (1) The two communities exhibit marked spatial heterogeneity in both UFR and ULC. On average, the UFR in traditional communities is 21.53% higher than in low-carbon communities, while the ULCs are 4.33% higher in low-carbon communities compared to traditional ones. (2) UFR and ULC showed a high coupling level in both communities (over 98%), indicating a strong correlation. (3) The Moran’s I index of 0.664 for coupling coordination indicates notable spatial dependence. These results suggest that, initially, low-carbon communities in Kunming may not exhibit stronger flood resilience, but low-carbon development can significantly improve flood resilience over time. This paper also provides recommendations for enhancing flood resilience in urban low-carbon communities.
Authors
- Yifei Liu
- Zhiqiang Xie (ORCID: https://orcid.org/0000-0002-0714-5312)
- Wei Cheng (ORCID: https://orcid.org/0000-0002-1475-4079)
- Sidong Zhao (ORCID: https://orcid.org/0000-0002-6352-6945)
- Yang Li (ORCID: https://orcid.org/0000-0002-6287-5094)
- Zheng Zhang (ORCID: https://orcid.org/0000-0002-2292-0030)
- Zhiyong Yuan
- Junxiao Wang (ORCID: https://orcid.org/0000-0003-2638-0630)
- Dan Zhou (ORCID: https://orcid.org/0000-0001-8678-8270)
- Ping Wen (ORCID: https://orcid.org/0000-0002-2102-7427)
- Ling Zhu
- Shihan Bai
- Q. Yang (ORCID: https://orcid.org/0009-0001-6644-7601)
Institutions
- Kunming University (CN)
- Yunnan University (CN)
- Yunnan Water Conservancy and Hydropower Survey and Design Institute (CN)
- Nanjing Surveying and Mapping Research Institute (China) (CN)
- Beijing Drainage Group (China) (CN)
Publication Details
- Journal
- Land
- Published
- 2025-06-28
- DOI
- https://doi.org/10.3390/land14071368
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Yunnan University