Quantifying Extreme Weather Risks and Optimizing Insurance Strategies Based on the CEV-EWM Model
Year: 2025
Type: article
Abstract: 极端天气事件的频繁发生增加了财产保险的不确定性。为应对这一问题，本文提出了三个模型：模型I为风险与保险保护模型，通过三个子系统(灾难性、暴露度、脆弱性)和八个指标量化风险，并利用熵权法和K-Means聚类分析优化保险定价。模型II为社区发展决策模型，分析房地产开发商和社区的成本与收益，为决策提供支持。模型III为社区保护模型，使用层次分析法(AHP)评估社区地标建筑的保护措施，并通过GE矩阵进行结果可视化。Extreme weather events have increased uncertainties in property insurance. This paper proposes three models: Model I quantifies risks using eight indicators across three subsystems (catastrophic, exposure, and vulnerability) and optimizes insurance pricing with the entropy weight method and K-means clustering. Model II analyzes costs and benefits for real estate developers and communities to support decision-making. Model III assesses community landmark protection using AHP and visualizes results with the GE matrix.
Source: Statistics and Applications
Author: 诺 许
Institution: Hangzhou Normal University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411910145