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Spatiotemporal Pattern of Social Vulnerability in Italy

International Journal of Disaster Risk Science 2018年第2期9卷 249-262页

作者： ivan frigerio Fabio Carnelli Marta Cabinio Mattia De Amicis Earth and Environmental Sciences Department University of Milano-Bicocca Sociology and Social Research Department University of Milano-Bicocca

Evaluation of social vulnerability(SV) against natural hazards remains a big challenge for disaster risk reduction. Spatiotemporal analysis of SV is important for successful implementation of prevision and prevention measures for risk mitigation. This study examined the spatiotemporal pattern of SV in Italy, and also analyzed socioeconomic factors that may influence how the Italian population reacts to catastrophic natural events. We identified 16 indicators that quantify SV and collected data for the census years 1991, 2001, and 2011. We created a social vulnerability index(SVI) for each year by using principal component analysis outputs and an additive *** spatial data analysis, including global and local autocorrelations, was used to understand the spatial patterns of social vulnerability across the country. Specifically, univariate local Moran's index was performed for the SVI of each of the three most recent census years in order to detect changes in spatial clustering during the whole study period. The original contribution of this Italy case study was to use a bivariate spatial correlation to describe the spatiotemporal correlation between the threes annual SV indices. The temporal analysis shows that the percentage of municipalities with medium social vulnerability in Italy increased from 1991 to 2011 and those with very high social vulnerability decreased. Spatial analysis provided evidence of clusters that maintained significant high values of social vulnerability throughout the studyperiods. The SVI of many areas in the center and the south of the peninsula remained stable, and the people living there have continued to be potentially vulnerable to natural hazards.

关键词： Bivariate Moran’s index Cluster analysis Italy Natural hazards Social vulnerability

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A Proposal for a Geospatial Database to Support Emergency Management

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Journal of Geographic Information System 2013年第4期5卷 396-403页

作者： ivan frigerio Stefano Roverato Mattia De Amicis Department of Earth and Environmental Sciences University of Milano Bicocca Milan Italy

The basic procedure of the Italian Civil Protection Department aims at reducing disaster losses by giving prominence to a proactive strategy, focusing on prevision and prevention of hazard events rather than postdisater activities. Italian law commits municipalities to produce Emergency Plans that include risk scenarios as well as all data required for emergency management, such as structures, infrastructures and human resources. However the law in the matter of Civil Protection does not supply information about how to produce and archive necessary data for emergency planning and management. For this reason, we propose a standard methodology to create a geodatabase using GIS software, to collect all data that could be used by municipalities to create Emergency Plans. The resulting geodatabase provides a tool for hazard mitigation planning, allowing not only the identification of areas at risk, but also the structures, infrastructures and resources needed to overcome a crisis, thus improving all strategies of risk reduction and the resilience of the system [1].

关键词： Emergency Management Geospatial Database Civil Protection Emergency Planning

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