A Novel Approach to Measuring Spatiotemporal Changes in Social Vulnerability at the Local Level in Portugal

作     者：Pedro Pinto Santos JoséLuís Zêzere Susana Pereira Jorge Rocha Alexandre Oliveira Tavares Pedro Pinto Santos;José Luís Zêzere;Susana Pereira;Jorge Rocha;Alexandre Oliveira Tavares

作者机构：Centre for Geographical StudiesInstitute of Geography and Spatial PlanningTERRAUniversity of Lisbon(CEG-IGOT-ULisboa)1600-276 LisboaLAPortugal Centre for Social StudiesEarth Science DepartmentScience and Technology FacultyUniversity of Coimbra(CES/DCT-FCT-UCoimbra)3000-995 CoimbraPortugal 

出 版 物：《International Journal of Disaster Risk Science》 (国际灾害风险科学学报（英文版）)

年 卷 期：2022年第13卷第6期

页      面：842-861页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 

基　　金：funded by FCT (Funda??o para a Ciência e Tecnologia/Portuguese Foundation for Science and Technology),through the projects “Be Safe Slide-Landslide early warning soft technology prototype to improve community resilience and adaptation to environmental change”(PTDC/GES-AMB/30052/2017) “MIT-RSC-Multi-risk interactions towards resilient and sustainable cities”(MIT-EXPL/CS/0018/2019) Jorge Rocha was financed through FCT,within the framework of the project “TRIAD-Health risk and social vulnerability to arboviral diseases in mainland Portugal”(PTDC/GES-OUT/30210/2017) partially developed within the framework of the RISKCOAST project (Ref:SOE3/P4/E0868) funded by the Interreg SUDOE Program (3rd Call for proposals) Pedro Pinto Santos was fi nanced by FCT,within the framework of the contract CEEIND/00268/2017 by the Research Unit UID/GEO/00295/2020 

主　　题：AMPI normalization Portugal Social vulnerability Spatiotemporal changes 

摘      要：Social vulnerability,as one of the risk components,partially explains the magnitude of the impacts observed after a *** this study,a spatiotemporally comparable assessment of social vulnerability and its drivers was conducted in Portugal,at the civil parish level,for three census *** first challenging step consisted of the selection of meaningful and consistent variables over *** were normalized using the Adjusted Mazziotta-Pareto Index(AMPI)to obtain comparable adimensional-normalized values.A joint principal component analysis(PCA)was applied,resulting in a robust set of variables,interpretable from the point of view of their self-grouping around vulnerability drivers.A separate PCA for each census was also conducted,which proved to be useful in analyzing changes in the composition and type of drivers,although only the joint PCA allows the monitoring of spatiotemporal changes in social vulnerability scores and drivers from 1991 to 2011.A general improvement in social vulnerability was observed for *** two main drivers are the economic condition(PC1),and aging and depopulation(PC2).The remaining drivers highlighted are uprooting and internal mobility,and daily *** data proved their value in the territorial,social,and demographic characterization of the country,to support medium-and long-term disaster risk reduction measures.