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Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index
Open accessAbstract
Abstract. This paper presents a model of factors influencing levels of human losses from natural hazards at the global scale, for the period 1980–2000. This model was designed for the United Nations Development Programme as a building stone of the Disaster Risk Index (DRI), which aims at monitoring the evolution of risk. Assessing what countries are most at risk requires considering various types of hazards, such as droughts, floods, cyclones and earthquakes. Before assessing risk, these four hazards were modelled using GIS and overlaid with a model of population distribution in order to extract human exposure. Human vulnerability was measured by crossing exposure with selected socio-economic parameters. The model evaluates to what extent observed past losses are related to population exposure and vulnerability. Results reveal that human vulnerability is mostly linked with country development level and environmental quality. A classification of countries is provided, as well as recommendations on data improvement for future use of the model.
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Cited by
Determinants of Risk: Exposure and Vulnerability
Cardona, O.-D., van Aalst, M. K., Birkmann, J., Fordham, M., McGregor, G., Perez, R., Pulwarty, R. S., Schipper, E. L. F., Sinh, B. T., Décamps, H., et al. (2012) · Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation · doi:10.1017/cbo9781139177245.005 · Cited by 1,007
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Future drought risk in Africa: integrating vulnerability, climate change, and population growth
Ahmadalipour, A., Moradkhani, H., Castelletti, A., & Magliocca, N. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.01.278 · Cited by 318
A spatial evaluation of global wildfire-water risks to human and natural systems
Robinne, F.-N., Bladon, K. D., Miller, C., Parisien, M.-A., Mathieu, J., & Flannigan, M. D. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.08.112 · Cited by 122
Cerna-Turoff, I., Fang, Z., Meierkord, A., Wu, Z., Yanguela, J., Bangirana, C. A., & Meinck, F. (2021) · Trauma, Violence, & Abuse · doi:10.1177/1524838020985532 · Cited by 92
Metadata
- Authors
- Peduzzi, P., Dao, H., Herold, C., & Mouton, F.
- Venue
- Natural Hazards and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2009-07-17
- Volume
- 9
- Issue
- 4
- Pages
- 1149-1159
- ISSN
- 1561-8633 (ISSN-L)
- 1684-9981
- OpenAlex
- W2130679125
- Cited by
- 554
- References
- 0
- FWCI
- 41.25
- Type
- journal article
- Language
- en
- Open access
- gold
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- Peduzzi, P., Dao, H., Herold, C., & Mouton, F. (2009). Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Natural Hazards and Earth System Sciences. https://doi.org/10.5194/nhess-9-1149-2009
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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.
