Willis, I. and Gibin, M. and Barros, Joana and Webber, R. (2014) Applying neighbourhood classification systems to natural hazards: a case study of Mt Vesuvius. Natural Hazards 70 (1), pp. 1-22. ISSN 0921-030X.
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Willis Gibin Barros Webber 2014 Natural Hazards.pdf - Author's Accepted Manuscript Download (5MB) | Preview |
Abstract
The dynamic forces of urbanisation that characterised much of the 20th Century and still dominate population growth in developing countries have led to the increasing risk of natural hazards in cities around the world (Chester 2000, Pelling 2003). None of these physical dangers is more tangible than the threat volcanoes pose to the large populations living in close proximity. Vesuvius, a recognised decade volcano following the UN’s International Decade for Natural Disaster Reduction (IDNDR) has an estimated 550,000 people that live in areas susceptible to Pyroclastic Density Currents (PDC) (Barberi 2008) and a further 4 million at risk from ash fallout around the sprawling suburbs of Naples. Though quiescent since 1944, the prospect of a large eruption of Vesuvius presents a greater geophysical threat to the Campania region of Italy than perhaps ever before. With the Neopolitan region at risk from such an event, this paper proposes a new methodology for creating a Social Vulnerability Index (SoVi) using geodemographic classification systems. In this study, Experian’s MOSAIC Italy database is combined with geophysical risk boundaries to assess the overall vulnerability of the population around Vesuvius.
Metadata
| Item Type: | Article |
|---|---|
| Additional Information: | The final publication is available at Springer via http://dx.doi.org/10.1007/s11069-010-9648-9 |
| Keyword(s) / Subject(s): | Social vulnerability, Volcanoes, Geodemographics, Vesuvius, Neighbourhood classification |
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Social Sciences |
| Depositing User: | Joana Barros |
| Date Deposited: | 22 Dec 2015 17:38 |
| Last Modified: | 02 Aug 2023 17:20 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/13842 |
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