Teng Meng, Zhang Fuli, Gong Zhi, Park Jong Hyuk
School of Computer Science and Engineering, Hunan University of Information Technology, Changsha 410151, China.
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Mar Pollut Bull. 2025 Aug;217:118060. doi: 10.1016/j.marpolbul.2025.118060. Epub 2025 Apr 30.
Coastal regions face significant challenges due to climate change, requiring effective adaptation strategies to protect ecosystems, infrastructure, and communities. Selecting appropriate strategies remains complex due to the need to balance ecological, economic, and social factors. This study introduces a novel AHP-based Multi-Criteria Decision-Making (MCDM) framework that systematically integrates empirical evidence and expert judgment to evaluate and prioritize coastal adaptation strategies. The framework incorporates inputs from 20 experts and evaluates alternatives across four key criteria: Environmental Impact (weight = 0.533), Cost-Effectiveness (0.255), Social Acceptance (0.149), and Long-Term Sustainability (0.063). Among the evaluated strategies, mangrove restoration received the highest priority score of 0.70, highlighting its superior performance across environmental, social, and sustainability dimensions. The proposed methodology offers a transparent and replicable approach to assess trade-offs, supporting informed and context-specific coastal adaptation planning aligned with sustainable development goals.
由于气候变化,沿海地区面临重大挑战,需要有效的适应策略来保护生态系统、基础设施和社区。由于需要平衡生态、经济和社会因素,选择合适的策略仍然很复杂。本研究引入了一种基于层次分析法的新型多标准决策(MCDM)框架,该框架系统地整合实证证据和专家判断,以评估沿海适应策略并确定其优先顺序。该框架纳入了20位专家的意见,并根据四个关键标准评估备选方案:环境影响(权重=0.533)、成本效益(0.255)、社会接受度(0.149)和长期可持续性(0.063)。在所评估的策略中,红树林恢复获得了最高优先级分数0.70,突出了其在环境、社会和可持续性方面的卓越表现。所提出的方法提供了一种透明且可复制的方法来评估权衡,支持与可持续发展目标相一致的明智且因地制宜的沿海适应规划。