Even though the correct assessment of risks is a key aspect of the risk management analysis, we argue that limited effort has been devoted in the assessment of full measures of economic exposure at very low scale. For this reason, we aim at providing a complete and detailed map of the exposure of economic activities to natural disasters in the Italian context. We use Input-Output model and spatial autocorrelation (Moran's I) to provide information about several socio-economic variables, such as population density, employment density, firms’ turnover and capital stock, that can be seen as direct and indirect socio-economic exposure to natural disasters. These measures can be easily incorporated into risk assessment models to provide a clear picture of the disaster risk for Italian local areas.
Mapping the exposure to natural disaster losses for Italian municipalities
MARIN, GIOVANNI;
2016
Abstract
Even though the correct assessment of risks is a key aspect of the risk management analysis, we argue that limited effort has been devoted in the assessment of full measures of economic exposure at very low scale. For this reason, we aim at providing a complete and detailed map of the exposure of economic activities to natural disasters in the Italian context. We use Input-Output model and spatial autocorrelation (Moran's I) to provide information about several socio-economic variables, such as population density, employment density, firms’ turnover and capital stock, that can be seen as direct and indirect socio-economic exposure to natural disasters. These measures can be easily incorporated into risk assessment models to provide a clear picture of the disaster risk for Italian local areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
