Construction of an integrated social vulnerability index in urban areas prone to flash flooding

Show simple item record

dc.contributor.author Aroca-Jimenez, Estefanía
dc.contributor.author Bodoque, José María
dc.contributor.author Garcia, Juan Antonio
dc.contributor.author Díez Herrero, Andrés
dc.date.accessioned 2020-09-16T08:55:25Z
dc.date.available 2020-09-16T08:55:25Z
dc.date.issued 2017-09-15
dc.identifier.citation Natural Hazards and Earth System Sciences, vol.17, n.9, 1541–1557 es_ES
dc.identifier.issn 1684-9981
dc.identifier.uri http://hdl.handle.net/20.500.12468/313
dc.description.abstract Among the natural hazards, flash flooding is the leading cause of weather-related deaths. Flood risk management (FRM) in this context requires a comprehensive assessment of the social risk component. In this regard, integrated social vulnerability (ISV) can incorporate spatial distribution and contribution and the combined effect of exposure, sensitivity and resilience to total vulnerability, although these components are often disregarded. ISV is defined by the demographic and socio-economic characteristics that condition a population's capacity to cope with, resist and recover from risk and can be expressed as the integrated social vulnerability index (ISVI). This study describes a methodological approach towards constructing the ISVI in urban areas prone to flash flooding in Castilla y León (Castile and León, northern central Spain, 94 223 km2, 2 478 376 inhabitants). A hierarchical segmentation analysis (HSA) was performed prior to the principal components analysis (PCA), which helped to overcome the sample size limitation inherent in PCA. ISVI was obtained from weighting vulnerability factors based on the tolerance statistic. In addition, latent class cluster analysis (LCCA) was carried out to identify spatial patterns of vulnerability within the study area. Our results show that the ISVI has high spatial variability. Moreover, the source of vulnerability in each urban area cluster can be identified from LCCA. These findings make it possible to design tailor-made strategies for FRM, thereby increasing the efficiency of plans and policies and helping to reduce the cost of mitigation measures. es_ES
dc.description.sponsorship Departamento de Ingeniería Geológica y Minera, Universidad de Castilla-La Mancha, España es_ES
dc.description.sponsorship Departamento de Administración de Empresas, Universidad de Castilla-La Mancha, España es_ES
dc.description.sponsorship Instituto Geológico y Minero de España, España es_ES
dc.language.iso en es_ES
dc.publisher European Geosciences Union, Copernicus Publications es_ES
dc.relation CGL2013-42728-R es_ES
dc.rights Acceso abierto es_ES
dc.subject zona urbana es_ES
dc.subject riesgo natural es_ES
dc.subject aluvión es_ES
dc.subject control es_ES
dc.subject previsión es_ES
dc.subject Castilla La Mancha es_ES
dc.title Construction of an integrated social vulnerability index in urban areas prone to flash flooding es_ES
dc.type Postprint es_ES
dc.relation.publisherversion https://nhess.copernicus.org/articles/17/1541/2017/nhess-17-1541-2017.pdf es_ES
dc.description.funder Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica, Ministerio de Ciencia e Innovación, España es_ES
dc.identifier.doi https://doi.org/10.5194/nhess-17-1541-2017 es_ES


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account