SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities

Detalhes bibliográficos
Autor(a) principal: Jacinto, Rita
Data de Publicação: 2023
Outros Autores: Sebastião, Fernando, Reis, Eusébio, Ferrão, João
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/56289
Resumo: Decades of academic discussion on social resilience have led to the development of indicators, indexes, and different approaches to assessing it at national and local levels. The need to show real-world applications of such assessments is evident since resilience became a political and disaster risk reduction governance component. This article gives a full description of the methodology used to develop SoResilere, a new social resilience index applied to flood disaster-affected Portuguese municipalities. Study cases were selected according to historical databases, academic sources and governmental entities. Statistical methods for data dimension reduction, such as Factor Analysis (through Principal Component Analysis), were applied to the quantitative data and Optimal Scaling to the categorical data. SoResilere results were analyzed. Since SoResilere is a new tool, component weighting was applied to compare results with no weighting, although it did not affect the SoResilere status in 55.5% of the study cases. There is a tendency to look at the improvement of SoResilere results with component weighting due mainly to the quantitative subindex. There is no evidence of the benefits of component weighting, as no logical association or spatial pattern was found to support SoResilere status improvement in 22.22% of the study cases.
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spelling SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected MunicipalitiesSocial resilienceResilience indexFloodsMunicipalities resilience assessmentDecades of academic discussion on social resilience have led to the development of indicators, indexes, and different approaches to assessing it at national and local levels. The need to show real-world applications of such assessments is evident since resilience became a political and disaster risk reduction governance component. This article gives a full description of the methodology used to develop SoResilere, a new social resilience index applied to flood disaster-affected Portuguese municipalities. Study cases were selected according to historical databases, academic sources and governmental entities. Statistical methods for data dimension reduction, such as Factor Analysis (through Principal Component Analysis), were applied to the quantitative data and Optimal Scaling to the categorical data. SoResilere results were analyzed. Since SoResilere is a new tool, component weighting was applied to compare results with no weighting, although it did not affect the SoResilere status in 55.5% of the study cases. There is a tendency to look at the improvement of SoResilere results with component weighting due mainly to the quantitative subindex. There is no evidence of the benefits of component weighting, as no logical association or spatial pattern was found to support SoResilere status improvement in 22.22% of the study cases.MDPIRepositório da Universidade de LisboaJacinto, RitaSebastião, FernandoReis, EusébioFerrão, João2023-02-14T11:34:17Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/56289engJacinto, R., Sebastião, F., Reis, E. & Ferrão, J. (2023). SoResilere - A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities. Sustainability, 15 (4), 3309. https://doi.org/10.3390/su150433092071-105010.3390/su15043309info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:03:47Zoai:repositorio.ul.pt:10451/56289Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:06:50.847687Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
title SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
spellingShingle SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
Jacinto, Rita
Social resilience
Resilience index
Floods
Municipalities resilience assessment
title_short SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
title_full SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
title_fullStr SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
title_full_unstemmed SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
title_sort SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
author Jacinto, Rita
author_facet Jacinto, Rita
Sebastião, Fernando
Reis, Eusébio
Ferrão, João
author_role author
author2 Sebastião, Fernando
Reis, Eusébio
Ferrão, João
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Jacinto, Rita
Sebastião, Fernando
Reis, Eusébio
Ferrão, João
dc.subject.por.fl_str_mv Social resilience
Resilience index
Floods
Municipalities resilience assessment
topic Social resilience
Resilience index
Floods
Municipalities resilience assessment
description Decades of academic discussion on social resilience have led to the development of indicators, indexes, and different approaches to assessing it at national and local levels. The need to show real-world applications of such assessments is evident since resilience became a political and disaster risk reduction governance component. This article gives a full description of the methodology used to develop SoResilere, a new social resilience index applied to flood disaster-affected Portuguese municipalities. Study cases were selected according to historical databases, academic sources and governmental entities. Statistical methods for data dimension reduction, such as Factor Analysis (through Principal Component Analysis), were applied to the quantitative data and Optimal Scaling to the categorical data. SoResilere results were analyzed. Since SoResilere is a new tool, component weighting was applied to compare results with no weighting, although it did not affect the SoResilere status in 55.5% of the study cases. There is a tendency to look at the improvement of SoResilere results with component weighting due mainly to the quantitative subindex. There is no evidence of the benefits of component weighting, as no logical association or spatial pattern was found to support SoResilere status improvement in 22.22% of the study cases.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-14T11:34:17Z
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/56289
url http://hdl.handle.net/10451/56289
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Jacinto, R., Sebastião, F., Reis, E. & Ferrão, J. (2023). SoResilere - A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities. Sustainability, 15 (4), 3309. https://doi.org/10.3390/su15043309
2071-1050
10.3390/su15043309
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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