Risk Assessment of Compound Dynamic Disaster Based on AHP-EWM

Zhang, Runjie; Tian, Da; Wang, Hongwei; Kang, Xinyue; Wang, Gang; Xu, Lianman

doi:10.3390/app131810137

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…The entropy weighting method was used to assign the entropy value and entropy weight of each secondary index of the Yangtze River Economic Belt separately. The entropy weighting method is an objective assignment method, and the weights obtained are more accurate than the subjective assignment method [ 37 ]. The specific calculation is as follows:…”

Section: Methodsmentioning

confidence: 99%

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Wang,

Zhou,

Wang

et al. 2023

PLoS ONE

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The Yangtze River Economic Belt, as a globally important economic growth pole and population concentration area, has always received attention to its ecological and environmental issues. Currently, there is little research on the synergy among the ecological environment risk prevention and control mechanisms in this region. Strengthening research in this area has important scientific value for improving the effectiveness of ecological risk prevention and control and the sustainable development of the Yangtze River Economic Belt. Based on the data from 11 provinces and cities in the Yangtze River Economic Belt from 2017 to 2021, this study establishes an indicator system with benefit incentive mechanisms, risk regulatory mechanisms, and risk governance mechanisms as frameworks. By employing a composite system synergy model, this study utilizes the entropy weight method to assign weights to each indicator and calculates the orderliness and synergy of the three mechanisms separately. The results show that: (1) There are differences in the orderliness of mechanisms among the regions. The downstream area has the highest orderliness of the three mechanisms, with the middle stream area higher than the upstream area in terms of incentive mechanisms and risk governance mechanisms. (2) The orderliness of each mechanism has slight fluctuations but shows an overall upward trend, with the orderliness of regulatory mechanisms significantly higher than that of incentive mechanisms and governance mechanisms. (3) In terms of synergy, the three major mechanisms show a stable upward trend in synergy but with a relatively low degree of synergy. Based on these findings, future efforts should focus on optimizing mechanism construction and information sharing, improving incentive mechanisms, strengthening risk regulatory mechanisms, and consolidating the effectiveness of risk governance mechanisms.

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Section: Methodsmentioning

confidence: 99%

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Wang,

Zhou,

Wang

et al. 2023

PLoS ONE

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“…In this paper, through the construction of the risk model and the assessment of the NIMBY phenomenon, and for the high-risk factors to take relevant measures, so that the risk level is reduced to a safe range, the final project can be successfully implemented. The specific steps are as follows [50][51][52][53][54]:…”

Section: Fuzzy Analytic Hierarchy Process (Fahp) Based On the Radar C...mentioning

confidence: 99%

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Wu,

Wang,

Bai

et al. 2024

Applied Sciences

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The risk level of the NIMBY (Not In My Back Yard) phenomenon is crucial for the safety and economy of transmission and transformation projects which is rarely studied, especially for site selection and the construction of transmission lines and substations. In order to effectively evaluate the risk level to solve the dilemma caused by the NIMBY phenomenon, an evaluation method for quantifying the level of the NIMBY phenomenon is proposed. In this paper, thirty-one evaluation criteria and a risk model are put forward according to relevant laws and regulations that should be followed in the transmission and transformation project in China, then the scores corresponding to these criteria are obtained by a questionnaire survey. The radar chart method and minimum area method are applied to determine the weights of the element and unit layers. Furthermore, the overall risk level is evaluated by the fuzzy comprehensive evaluation method. In addition, a transmission and transformation project in Xi’an City, China, is used as an example to verify the correction of the risk model and its evaluation method. The results show that the weaknesses in the transmission and transformation project are analyzed, and suggestions for decreasing the risk level are put forward to minimize losses due to the NIMBY phenomenon.

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“…Entropy Weight Method (EWM) is used to is used to calculate the weights between primary indicators and secondary indicators [9] , as well as between secondary and tertiary indicators.…”

Section: Weight Calculation (Ahp-ewm)mentioning

confidence: 99%

Evaluation Of Property Insurance Risk Caused by Disasters Based on Analytic Hierarchy Process and Entropy Weight Method

2024

HSET

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In recent years, the frequent occurrence of natural disasters and extreme weather events has become a crisis for insurance companies, as the choice of underwriting policies can greatly impact their interests. In order to comprehensively assess the risks underwritten in a specific region, this paper establishes a model for evaluating the insurance risks of natural disaster property. Firstly, it analyzes the premium amount based on the relationship between demand and price. Then, by employing multiple indicators, it evaluates the severity of disasters in a region using Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). Furthermore, it utilizes the Grey Prediction Theory to forecast the frequency of disasters and assess the compensation in that region. Finally, the underwriting risks are analyzed by combining premiums and compensation. Japan and Chile are taken as examples in this study, both exhibiting high underwritten risks, with Chile surpassing Japan. Because Japan has more Emergency Relief Funds, a higher level of disaster prevention education and a significantly larger population than Chile, resulting in smaller losses from disasters and higher insurance payouts.

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Risk Assessment of Compound Dynamic Disaster Based on AHP-EWM

Cited by 5 publications

References 47 publications

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Study of the collaborative prevention and control mechanisms of ecological and environmental risks in China’s Yangtze River Economic Belt

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

Evaluation Of Property Insurance Risk Caused by Disasters Based on Analytic Hierarchy Process and Entropy Weight Method

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