Estefanía Aroca-Jiménez , Susan L. Cutter , José María Bodoque , Juan Antonio García
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For instance, the resilience index and the exposure component of the vulnerability correlate significantly (r = 0.40). Spatial regressions show a local R<sup>2</sup> value of 0.74 between the resilience index and vulnerability dimensions. Some elements of vulnerability are also significantly correlated to certain variables related to flash flood risk. These are mostly the exposure component (r = 0.59 for the population at risk) and the institutional dimension (r = −0.48 for the total flood indemnities provided by the insurance company). With a local R<sup>2</sup> of 0.85, the vulnerability and resilience indices show significant spatial regression with the critical infrastructure at risk. These results highlight the need for improved assessments of resilience and vulnerability especially adapted for local contexts. This emphasizes the need of a multidimensional approach combining theoretical frameworks with practical applications to guide future research initiatives and inform policymakers.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105540"},"PeriodicalIF":4.2000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing understanding of vulnerability and resilience to flash floods through comparative analysis of multidimensional indices\",\"authors\":\"Estefanía Aroca-Jiménez , Susan L. Cutter , José María Bodoque , Juan Antonio García\",\"doi\":\"10.1016/j.ijdrr.2025.105540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examines the relationship between vulnerability and resilience concerning flash flood risk in Castilla y León, Spain. It compares vulnerability and resilience indices and examines their relationships with variables related to flash flood risk. It also discusses improving assessments through a multidimensional approach, which includes social, economic, ecosystemic, physical, institutional, and cultural dimensions. Our approach uses statistical and spatial techniques, including Spearman correlations, bivariate choropleth maps, and regression models. Results show that vulnerability and resilience are related but distinct concepts. The correlation between their indices is weak (r = 0.06), but there are significant correlations between specific elements. For instance, the resilience index and the exposure component of the vulnerability correlate significantly (r = 0.40). Spatial regressions show a local R<sup>2</sup> value of 0.74 between the resilience index and vulnerability dimensions. Some elements of vulnerability are also significantly correlated to certain variables related to flash flood risk. These are mostly the exposure component (r = 0.59 for the population at risk) and the institutional dimension (r = −0.48 for the total flood indemnities provided by the insurance company). With a local R<sup>2</sup> of 0.85, the vulnerability and resilience indices show significant spatial regression with the critical infrastructure at risk. These results highlight the need for improved assessments of resilience and vulnerability especially adapted for local contexts. This emphasizes the need of a multidimensional approach combining theoretical frameworks with practical applications to guide future research initiatives and inform policymakers.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"125 \",\"pages\":\"Article 105540\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-05-01\",\"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/S2212420925003644\",\"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/S2212420925003644","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}
Enhancing understanding of vulnerability and resilience to flash floods through comparative analysis of multidimensional indices
This study examines the relationship between vulnerability and resilience concerning flash flood risk in Castilla y León, Spain. It compares vulnerability and resilience indices and examines their relationships with variables related to flash flood risk. It also discusses improving assessments through a multidimensional approach, which includes social, economic, ecosystemic, physical, institutional, and cultural dimensions. Our approach uses statistical and spatial techniques, including Spearman correlations, bivariate choropleth maps, and regression models. Results show that vulnerability and resilience are related but distinct concepts. The correlation between their indices is weak (r = 0.06), but there are significant correlations between specific elements. For instance, the resilience index and the exposure component of the vulnerability correlate significantly (r = 0.40). Spatial regressions show a local R2 value of 0.74 between the resilience index and vulnerability dimensions. Some elements of vulnerability are also significantly correlated to certain variables related to flash flood risk. These are mostly the exposure component (r = 0.59 for the population at risk) and the institutional dimension (r = −0.48 for the total flood indemnities provided by the insurance company). With a local R2 of 0.85, the vulnerability and resilience indices show significant spatial regression with the critical infrastructure at risk. These results highlight the need for improved assessments of resilience and vulnerability especially adapted for local contexts. This emphasizes the need of a multidimensional approach combining theoretical frameworks with practical applications to guide future research initiatives and inform policymakers.
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.