SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134621654319104 |