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Michel-Kerjan, E., Hochrainer-Stigler, S., Kunreuther, H., Linnerooth-Bayer, J., Mechler, R. 
ORCID: https://orcid.org/0000-0003-2239-1578, Muir-Wood, R., Ranger, N., Vaziri, P., & Young, M.
(2013).
Catastrophe risk models for evaluating disaster risk reduction investments in developing countries.
Risk Analysis 33 (6) 984-999. 10.1111/j.1539-6924.2012.01928.x.
Abstract
Major natural disasters in recent years have had high human and economic costs, and triggered record high post-disaster relief from governments and international donors. Given the current economic situation worldwide, selecting the most effective disaster risk reduction (DRR) measures is critical. This is especially the case for low- and middle-income countries, which have suffered disproportionally more economic and human losses from disasters. This article discusses a methodology that makes use of advanced probabilistic catastrophe models to estimate benefits of DRR measures. We apply such newly developed models to generate estimates for hurricane risk on residential structures on the island of St. Lucia, and earthquake risk on residential structures in Istanbul, Turkey, as two illustrative case studies. The costs and economic benefits for selected risk reduction measures are estimated taking account of hazard, exposure, and vulnerability. We conclude by emphasizing the advantages and challenges of catastrophe model-based cot-benefit analyses for DRR in developing countries.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Catastrophe modeling; Cost-benefit analysis; Disaster risk reduction |
| Research Programs: | Risk, Policy and Vulnerability (RPV) Risk & Resilience (RISK) |
| Bibliographic Reference: | Risk Analysis; 33(6):984-999 (June 2013) (Published online 12 December 2012) |
| Depositing User: | IIASA Import |
| Date Deposited: | 15 Jan 2016 08:48 |
| Last Modified: | 27 Aug 2021 17:23 |
| URI: | https://pure.iiasa.ac.at/10413 |
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