Social vulnerability assessment in Madeira Island

Detalhes bibliográficos
Autor(a) principal: Gomes, Ricardo Fernando Carneiro
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/40908
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and Science
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spelling Social vulnerability assessment in Madeira IslandSocial VulnerabilitySocial Vulnerability IndexSocial Vulnerability to Natural and Technological Hazards IndexIndex sensitivityData aggregationGeographical Information SystemsDissertation presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and ScienceSocial Vulnerability is an area of growing interest among researchers and decision makers. As disaster losses mount, it emerged the understanding that disasters are not just a product of Hazards characteristics and Exposure, but also a Social construct that creates differentiate levels of ability to cope with, resist to and recover from extreme events. The assessment of a multidimensional and intangible phenomenon like Social Vulnerability is extremely complex and over the years a number of indexes have emerged as an attempt to reduce the phenomenon to a simple metric, temporal and spatially comparable. Social Vulnerability Index (SOVI) is a particularly robust and widely used index. A recent version of this algorithm, the Social Vulnerability to Natural and Technological Hazards Index (SOVI_NTH) addressed the caveat of having in the same SOVI Components variables regarding the socioeconomic attributes that make people vulnerable and the support structures and facilities that help them to resist and recover. Both indexes were implemented using the Hazards-of-Place model, that combines Social Vulnerability and Hazards Susceptibility to pinpoint areas where both have high scores. In this research we compared the results and the statistical performance of both indexes to determine their consistency. Additionally, we analysed the sensitivity to data aggregation in order to determine whether it is possible to use very small spatial statistical units to highlight asymmetries and niches of particularly high Social Vulnerability.Cabral, Pedro da Costa BritoRUNGomes, Ricardo Fernando Carneiro2018-07-05T16:03:22Z2018-06-202018-06-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/40908TID:201949296enginfo: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:RCAAP2024-03-11T04:22:10Zoai:run.unl.pt:10362/40908Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:31:17.941049Repositório 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 Social vulnerability assessment in Madeira Island
title Social vulnerability assessment in Madeira Island
spellingShingle Social vulnerability assessment in Madeira Island
Gomes, Ricardo Fernando Carneiro
Social Vulnerability
Social Vulnerability Index
Social Vulnerability to Natural and Technological Hazards Index
Index sensitivity
Data aggregation
Geographical Information Systems
title_short Social vulnerability assessment in Madeira Island
title_full Social vulnerability assessment in Madeira Island
title_fullStr Social vulnerability assessment in Madeira Island
title_full_unstemmed Social vulnerability assessment in Madeira Island
title_sort Social vulnerability assessment in Madeira Island
author Gomes, Ricardo Fernando Carneiro
author_facet Gomes, Ricardo Fernando Carneiro
author_role author
dc.contributor.none.fl_str_mv Cabral, Pedro da Costa Brito
RUN
dc.contributor.author.fl_str_mv Gomes, Ricardo Fernando Carneiro
dc.subject.por.fl_str_mv Social Vulnerability
Social Vulnerability Index
Social Vulnerability to Natural and Technological Hazards Index
Index sensitivity
Data aggregation
Geographical Information Systems
topic Social Vulnerability
Social Vulnerability Index
Social Vulnerability to Natural and Technological Hazards Index
Index sensitivity
Data aggregation
Geographical Information Systems
description Dissertation presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and Science
publishDate 2018
dc.date.none.fl_str_mv 2018-07-05T16:03:22Z
2018-06-20
2018-06-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/40908
TID:201949296
url http://hdl.handle.net/10362/40908
identifier_str_mv TID:201949296
dc.language.iso.fl_str_mv eng
language eng
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.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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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
repository.mail.fl_str_mv
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