2017
DOI: 10.3280/sur2016-111002
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A socio-spatial vulnerability assessment for disaster management: insights from the 2012 emilia earthquake (italy)

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Cited by 12 publications
(19 citation statements)
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“…Variables (see Table 2) were selected using a deductive approach, drawing on the results of previous research by the authors (Frigerio and De Amicis, 2016; Frigerio et al, 2016) and a large amount of literature in which different authors identified different variables with increasing or decreasing social vulnerability during each phase of the disaster cycle. An extensive literature review targeted empirical studies that focused on social vulnerability assessments and outcomes in the context of DRR—see, inter alia, Cutter (1996); Bolin and Stanford (1998); Morrow (1999); Cutter, Boruff, and Shirley (2003); Adger et al (2009); Oliveira Mendes (2009); Flanagan et al (2011); Pelling and Wisner (2012).…”
Section: Methodsmentioning
confidence: 99%
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“…Variables (see Table 2) were selected using a deductive approach, drawing on the results of previous research by the authors (Frigerio and De Amicis, 2016; Frigerio et al, 2016) and a large amount of literature in which different authors identified different variables with increasing or decreasing social vulnerability during each phase of the disaster cycle. An extensive literature review targeted empirical studies that focused on social vulnerability assessments and outcomes in the context of DRR—see, inter alia, Cutter (1996); Bolin and Stanford (1998); Morrow (1999); Cutter, Boruff, and Shirley (2003); Adger et al (2009); Oliveira Mendes (2009); Flanagan et al (2011); Pelling and Wisner (2012).…”
Section: Methodsmentioning
confidence: 99%
“…Some large‐scale studies of national vulnerability have been conducted. A similar approach to that of Cutter et al (2003) was employed in Italy to calculate a SVI (Frigerio and De Amicis, 2016; see also Frigerio et al, 2018). The work of Frigerio and De Amicis (2016) aimed to understand better the socioeconomic characteristics of the Italian population and how they affect ability to react to catastrophic natural events.…”
Section: Introductionmentioning
confidence: 99%
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