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Review Article : A comparison of flood and earthquake vulnerability assessment indicators

De Ruiter, Marleen C.; Ward, Philip J.; Daniell, James E. 1,2; Aerts, Jeroen C. J. H.
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)
2 Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruher Institut für Technologie (KIT)


In a cross-disciplinary study, we carried out an extensive literature review to increase understanding of vulnerability indicators used in the disciplines of earthquake- and flood vulnerability assessments. We provide insights into potential improvements in both fields by identifying and comparing quantitative vulnerability indicators grouped into physical and social categories. Next, a selection of index- and curve-based vulnerability models that use these indicators are described, comparing several characteristics such as temporal and spatial aspects. Earthquake vulnerability methods traditionally have a strong focus on object-based physical attributes used in vulnerability curve-based models, while flood vulnerability studies focus more on indicators applied to aggregated land-use classes in curve-based models. In assessing the differences and similarities between indicators used in earthquake and flood vulnerability models, we only include models that separately assess either of the two hazard types. Flood vulnerability studies could be improved using approaches from earthquake studies, such as developing object-based physical vulnerability curve assessments and incorporating time-of-the-day-based building occupation patterns. ... mehr

Volltext §
DOI: 10.5445/IR/1000072952
DOI: 10.5194/nhess-17-1231-2017
Zitationen: 37
Web of Science
Zitationen: 26
Zitationen: 37
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Disaster Management and Risk Reduction Technology (CEDIM)
Geophysikalisches Institut (GPI)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1561-8633, 1684-9981
KITopen-ID: 1000072952
Erschienen in Natural hazards and earth system sciences
Verlag European Geosciences Union (EGU)
Band 17
Heft 7
Seiten 1231-1251
Nachgewiesen in Scopus
Web of Science
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