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At Risk
Abstract
The term 'natural disaster' is often used to refer to natural events such as earthquakes, hurricanes or floods. However, the phrase 'natural disaster' suggests an uncritical acceptance of a deeply engrained ideological and cultural myth. At Risk questions this myth and argues that extreme natural events are not disasters until a vulnerable group of people is exposed. The updated new edition confronts a further ten years of ever more expensive and deadly disasters and discusses disaster not as an aberration, but as a signal failure of mainstream 'development'. Two analytical models are provided as tools for understanding vulnerability. One links remote and distant 'root causes' to 'unsafe conditions' in a 'progression of vulnerability'. The other uses the concepts of 'access' and 'livelihood' to understand why some households are more vulnerable than others. Examining key natural events and incorporating strategies to create a safer world, this revised edition is an important resource for those involved in the fields of environment and development studies.
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Citations
Cited by
Big Data in Natural Disaster Management: A Review
Yu, M., Yang, C., & Li, Y. (2018) · Geosciences · doi:10.3390/geosciences8050165 · Cited by 447
Flood exposure and social vulnerability in the United States
Tate, E., Rahman, M. A., Emrich, C. T., & Sampson, C. C. (2021) · Natural Hazards · doi:10.1007/s11069-020-04470-2 · Cited by 447
Morelli, S., Pazzi, V., Nardini, O., & Bonati, S. (2022) · Sustainability · doi:10.3390/su14159148 · Cited by 35
Schwind, J. S., Norman, S. A., Brown, R., Frances, R. H., Koss, E., Karmacharya, D., & Santangelo, S. L. (2019) · Community Mental Health Journal · doi:10.1007/s10597-019-00404-w · Cited by 33
Kazemi, N., Badri, S. A., Adinehvand, E., & Rostami, K. (2022) · SN Social Sciences · doi:10.1007/s43545-022-00567-6 · Cited by 3
Metadata
- Authors
- Blaikie, P., Cannon, T., Davis, I., & Wisner, B.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2014-01-21
- OpenAlex
- W4214550319
- Cited by
- 618
- References
- 0
- FWCI
- 13.82
- Type
- book
- Language
- en
- Open access
- closed
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Data sources
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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.