Measurement of flood resilience of metro station based on combination weighting-cloud model

IF 4.2 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

International journal of disaster risk reduction Pub Date : 2024-11-01 DOI:10.1016/j.ijdrr.2024.104950

Rumeng Tian , Ying Zhang , Lei Peng , Yan Wang , Wei Wang , Yingying Gu

{"title":"Measurement of flood resilience of metro station based on combination weighting-cloud model","authors":"Rumeng Tian , Ying Zhang , Lei Peng , Yan Wang , Wei Wang , Yingying Gu","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":"114 ","pages":"Article 104950"},"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.

查看原文本刊更多论文

基于组合加权云模型的地铁站抗洪能力测量

为进一步提高地铁车站的防洪安全水平，本研究结合抗洪理论，采用组合加权云模型法对地铁车站抗洪能力进行评价。首先，界定了地铁车站抗洪能力的内涵。将物理-社会-信息三重空间理论与抵抗、响应、恢复和适应的抗灾性能过程相结合，确定影响因素并制定评价指标体系。其次，采用组合加权法获得指标权重，并结合障碍度模型和云模型建立了地铁站抗洪能力定量测量模型。最后，以郑州 8 个地铁站为例，进行了实证研究，验证了所提模型的科学性和合理性。结果表明(1）郑州地铁车站抗洪水平整体较好，其响应抗洪、恢复抗洪和适应抗洪能力相对优于抵抗抗洪能力，符合实际情况。(2）发现高峰小时客流、应急医疗能力、舆情引导能力、防洪工程改造、智能信息平台建设等指标是影响郑州地铁车站抗洪能力的关键障碍因素，需要引起重视。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

8.70

自引率

18.00%

发文量

688

审稿时长

79 days

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.