{"title":"Measurement of flood resilience of metro station based on combination weighting-cloud model","authors":"","doi":"10.1016/j.ijdrr.2024.104950","DOIUrl":null,"url":null,"abstract":"<div><div>To further improve the flood safety level of metro stations, this research combined resilience theory and used combination weighting-cloud model method to evaluate metro station flood resilience. Firstly, the connotation of metro station flood resilience was defined. Physical-social-information trio spaces theory was combined with the resilience performance process of resistance, response, recovery and adaptation to determine influencing factors and develop evaluation index system. Secondly, combination weighting method was used to obtain index weight and quantitative model of metro station flood resilience measurement was developed by combining obstacle degree and cloud models. Finally, taking 8 metro stations in Zhengzhou as examples, an empirical research was performed to verify the scientificity and rationality of the proposed model. The results showed that: (1) The flood resilience levels of Zhengzhou metro stations were good as a whole and their response resilience, recovery resilience and adaptation resilience were relatively better than their resistance resilience, which complied with actual situations. (2) Peak hour passenger flow, emergency medical ability, public opinion guidance ability, flood engineering transformation, intelligent information platform construction and other indicators were found to be the key obstacle factors of the flood resilience of Zhengzhou metro stations, which needed to be paid attention to.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":null,"pages":null},"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/S221242092400712X","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}
引用次数: 0
Abstract
To further improve the flood safety level of metro stations, this research combined resilience theory and used combination weighting-cloud model method to evaluate metro station flood resilience. Firstly, the connotation of metro station flood resilience was defined. Physical-social-information trio spaces theory was combined with the resilience performance process of resistance, response, recovery and adaptation to determine influencing factors and develop evaluation index system. Secondly, combination weighting method was used to obtain index weight and quantitative model of metro station flood resilience measurement was developed by combining obstacle degree and cloud models. Finally, taking 8 metro stations in Zhengzhou as examples, an empirical research was performed to verify the scientificity and rationality of the proposed model. The results showed that: (1) The flood resilience levels of Zhengzhou metro stations were good as a whole and their response resilience, recovery resilience and adaptation resilience were relatively better than their resistance resilience, which complied with actual situations. (2) Peak hour passenger flow, emergency medical ability, public opinion guidance ability, flood engineering transformation, intelligent information platform construction and other indicators were found to be the key obstacle factors of the flood resilience of Zhengzhou metro stations, which needed to be paid attention to.
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.