{"title":"评估和选择地震脆性曲线的方法:通过专家调查和模糊分析进行校准","authors":"Maribel Jiménez-Martínez , Laura Navas-Sánchez , Beatriz González-Rodrigo , Orlando Hernández-Rubio","doi":"10.1016/j.ijdrr.2024.104930","DOIUrl":null,"url":null,"abstract":"<div><div>Fragility curves (FCs) are extended decision-making tools for estimating the structural performance of systems exposed to seismic hazards. However, selecting an inappropriate FC can significantly affect the accuracy of loss and damage calculations in seismic risk assessments.</div><div>This article enhances the “Select.FC” method, a recently proposed novel approach that allows the selection of FCs with a higher degree of reliability. This method utilizes a multidimensional index incorporating a comprehensive set of variables about various aspects of FCs. A calibration and validation process is conducted on the variable scores of this multidimensional index based on a worldwide survey of experts. The implementation of the fuzzy analytic hierarchy process (FAHP) method further enhances the objectivity and dependability of the scores calculated from the experts' responses.</div><div>The proposed approach not only allows for the evaluation of FCs but also provides a practical tool for researchers. This evaluation of FCs is crucial, as it enhances the accuracy and reliability of seismic vulnerability and risk assessments.</div><div>The results obtained from the expert survey and the FAHP reveal several discrepancies between the calibrated new scores assigned to specific variables and those proposed in the original methodology. However, in the aggregate, these discrepancies disappear. Therefore, the “Select.FC” method and its proposed classification of FCs into six categories based on the score obtained in the final multidimensional index seem quite robust regarding important changes in the weights of some of the variables.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104930"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A methodology to assess and select seismic fragility curves: Calibration from expert survey and fuzzy analysis\",\"authors\":\"Maribel Jiménez-Martínez , Laura Navas-Sánchez , Beatriz González-Rodrigo , Orlando Hernández-Rubio\",\"doi\":\"10.1016/j.ijdrr.2024.104930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Fragility curves (FCs) are extended decision-making tools for estimating the structural performance of systems exposed to seismic hazards. However, selecting an inappropriate FC can significantly affect the accuracy of loss and damage calculations in seismic risk assessments.</div><div>This article enhances the “Select.FC” method, a recently proposed novel approach that allows the selection of FCs with a higher degree of reliability. This method utilizes a multidimensional index incorporating a comprehensive set of variables about various aspects of FCs. A calibration and validation process is conducted on the variable scores of this multidimensional index based on a worldwide survey of experts. The implementation of the fuzzy analytic hierarchy process (FAHP) method further enhances the objectivity and dependability of the scores calculated from the experts' responses.</div><div>The proposed approach not only allows for the evaluation of FCs but also provides a practical tool for researchers. This evaluation of FCs is crucial, as it enhances the accuracy and reliability of seismic vulnerability and risk assessments.</div><div>The results obtained from the expert survey and the FAHP reveal several discrepancies between the calibrated new scores assigned to specific variables and those proposed in the original methodology. However, in the aggregate, these discrepancies disappear. Therefore, the “Select.FC” method and its proposed classification of FCs into six categories based on the score obtained in the final multidimensional index seem quite robust regarding important changes in the weights of some of the variables.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"114 \",\"pages\":\"Article 104930\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of disaster risk reduction\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212420924006927\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420924006927","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
A methodology to assess and select seismic fragility curves: Calibration from expert survey and fuzzy analysis
Fragility curves (FCs) are extended decision-making tools for estimating the structural performance of systems exposed to seismic hazards. However, selecting an inappropriate FC can significantly affect the accuracy of loss and damage calculations in seismic risk assessments.
This article enhances the “Select.FC” method, a recently proposed novel approach that allows the selection of FCs with a higher degree of reliability. This method utilizes a multidimensional index incorporating a comprehensive set of variables about various aspects of FCs. A calibration and validation process is conducted on the variable scores of this multidimensional index based on a worldwide survey of experts. The implementation of the fuzzy analytic hierarchy process (FAHP) method further enhances the objectivity and dependability of the scores calculated from the experts' responses.
The proposed approach not only allows for the evaluation of FCs but also provides a practical tool for researchers. This evaluation of FCs is crucial, as it enhances the accuracy and reliability of seismic vulnerability and risk assessments.
The results obtained from the expert survey and the FAHP reveal several discrepancies between the calibrated new scores assigned to specific variables and those proposed in the original methodology. However, in the aggregate, these discrepancies disappear. Therefore, the “Select.FC” method and its proposed classification of FCs into six categories based on the score obtained in the final multidimensional index seem quite robust regarding important changes in the weights of some of the variables.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.