The paper provides a conceptual framework for a multi-dimensional assessment of risk associated to natural disasters. The different components of risk (hazard, exposure, vulnerability and resilience) are seen in a combined natural and socio-economic perspective and are integrated into a Disaster Risk Assessment Tool (DRAT). The tool can be used to support disaster management strategies, as well as risk mitigation and adaptation strategies at very disaggregated geographical or administrative scales. In this paper, we illustrate the features of the DRAT and we apply the tool to 7556 Italian municipalities to map their multidimensional risk. DRAT can be particularly useful to identify hotspots that are characterized by high hazard, exposure and vulnerability and by low resilience. In order to identify hotspots, we perform a cluster analysis of the Italian municipalities in terms of their risk ranking based on DRAT. We also suggest how the tool may be exploited within the processes of disaster risk policy.
Marin, G., Modica, M., Paleari, S., Zoboli, R., Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool, <<SOCIO-ECONOMIC PLANNING SCIENCES>>, 2021; (N/A): 101032-N/A. [doi:10.1016/j.seps.2021.101032] [http://hdl.handle.net/10807/170739]
Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool
Zoboli, Roberto
2021
Abstract
The paper provides a conceptual framework for a multi-dimensional assessment of risk associated to natural disasters. The different components of risk (hazard, exposure, vulnerability and resilience) are seen in a combined natural and socio-economic perspective and are integrated into a Disaster Risk Assessment Tool (DRAT). The tool can be used to support disaster management strategies, as well as risk mitigation and adaptation strategies at very disaggregated geographical or administrative scales. In this paper, we illustrate the features of the DRAT and we apply the tool to 7556 Italian municipalities to map their multidimensional risk. DRAT can be particularly useful to identify hotspots that are characterized by high hazard, exposure and vulnerability and by low resilience. In order to identify hotspots, we perform a cluster analysis of the Italian municipalities in terms of their risk ranking based on DRAT. We also suggest how the tool may be exploited within the processes of disaster risk policy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.