This paper seeks to identify those areas that proved socially vulnerable to the earthquake that struck central Italy on 24 August 2016. The study involved four key steps. First, six relevant social vulnerability indicators were selected, based on previous conclusions in the literature. Second, the indicators were mapped using the inverse distance weighted interpolation method. Third, social vulnerability was assessed according to a spatial combination of the indicators. Fourth, in order to build a heterogeneity map, another approach was employed to represent the spatial variability of social vulnerability and to provide additional information on the synergistic contributions of the indicators. The results indicate that age and accessibility indicators affect the entire region under review, with highly vulnerable zones being close to small historical centres. These findings will be useful to governments, policymakers, and stakeholders with regard to implementing vulnerability mitigation strategies in Italian territories that are highly susceptible to earthquake hazards

Frigerio, I., Zanini, F., Mattavelli, M., De Amicis, M. (2019). Understanding the interacting factors that influence social vulnerability: a case study of the 2016 central Italy earthquake. DISASTERS, 43(4), 867-890 [10.1111/disa.12403].

Understanding the interacting factors that influence social vulnerability: a case study of the 2016 central Italy earthquake

Frigerio I.
Primo
;
Mattavelli M.
Penultimo
;
De Amicis M.
Ultimo
2019

Abstract

This paper seeks to identify those areas that proved socially vulnerable to the earthquake that struck central Italy on 24 August 2016. The study involved four key steps. First, six relevant social vulnerability indicators were selected, based on previous conclusions in the literature. Second, the indicators were mapped using the inverse distance weighted interpolation method. Third, social vulnerability was assessed according to a spatial combination of the indicators. Fourth, in order to build a heterogeneity map, another approach was employed to represent the spatial variability of social vulnerability and to provide additional information on the synergistic contributions of the indicators. The results indicate that age and accessibility indicators affect the entire region under review, with highly vulnerable zones being close to small historical centres. These findings will be useful to governments, policymakers, and stakeholders with regard to implementing vulnerability mitigation strategies in Italian territories that are highly susceptible to earthquake hazards
Articolo in rivista - Articolo scientifico
Italy; disaster; earthquake; indicators; risk assessment; social vulnerability
English
20-ago-2019
2019
43
4
867
890
reserved
Frigerio, I., Zanini, F., Mattavelli, M., De Amicis, M. (2019). Understanding the interacting factors that influence social vulnerability: a case study of the 2016 central Italy earthquake. DISASTERS, 43(4), 867-890 [10.1111/disa.12403].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/240843
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