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Cited by 441

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Disaster mitigation: the concept of vulnerability revisited

Weichselgartner, Juergen·2001·Disaster Prevention and Management: An International Journal

Abstract

Literature on natural risks typically examines either biophysical process characteristics or human pre‐ or post‐disaster activities. This paper takes a somewhat different track; first, it argues that also natural disasters are socially constructed and, therefore, second, it resets the framework in which disaster management has to be placed. While most researchers usually focus on risk assessment it is suggested that the concept of vulnerability can provide a vehicle to explore a contextual approach to the reduction of losses due to natural hazards. In a brief overview the conceptualization of vulnerability is presented. Since precise measurement of uncertainties and exact prediction of damages is hardly feasible, a conceptual approach in vulnerability assessment is proposed. Qualities that determine potential damage are identified and characteristics described. It is suggested that, even without assessing risk exactly, vulnerability reduction decreases damages and losses.

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Crossref · 10.1108/09653560110388609

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Metadata

Authors
Weichselgartner, J.
Venue
Disaster Prevention and Management: An International Journal
Publisher
Emerald
Published
2001-05-01
Volume
10
Issue
2
Pages
85-95
ISSN
0965-3562 (ISSN-L)
OpenAlex
W1998206337
Cited by
441
References
15
FWCI
9.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Disaster mitigation: the concept of vulnerability revisited. https://app.cochat.ai/papers/10.1108/09653560110388609
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Weichselgartner, J. (2001). Disaster mitigation: the concept of vulnerability revisited. Disaster Prevention and Management: An International Journal. https://doi.org/10.1108/09653560110388609

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.