Property insurance against debris-flow disasters based on risk assessment and the principal–agent theory |
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| Authors: | Mingtao Ding Fangqiang Wei Kaiheng Hu |
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| Institution: | (1) School of Environment and Resources, Southwest University of Science and Technology, Mianyang, 621010, China;(2) Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China |
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| Abstract: | Dongchuan City is highly threatened by debris-flow disasters originating from Shengou gully, a typical debris-flow gully along
Xiaojiang River in Yunnan Province (Kang et al. 2004). Shengou gully is studied, and a hazard assessment with numerical simulation is developed using ArcGIS 9.2 software. Debris-flow
numerical simulation is an important method for predicting debris-flow inundation regions, zoning debris-flow risks, and helping
in the design of debris-flow control works. Meanwhile, vulnerability measurement is essential for hazard and risk research.
Based on the self-organized map neural network method, we combine the six vulnerability indicators to create an integrated
debris-flow vulnerability map that depicts the vulnerability levels of Dongchuan City in Shengou Basin. Based on the risk
assessment (including hazard assessment and vulnerability assessment), we adopt the principal–agent theory and use the risk
degree of debris flows as an important index to build the insurance model and analyze the insurance premium of debris-flow
disasters in Dongchuan City. This paper discusses the model and mechanism of property insurance in debris-flow risk regions
and aims to provide technical support for insurance companies to participate in disaster prevention and reduction. |
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