Catastrophe risk models for evaluating disaster risk reduction investments in developing countries.

Area of Science:

• Environmental Science
• Economics
• Risk Management

Background:

• Natural disasters incur significant human and economic losses globally.
• Effective disaster risk reduction (DRR) is critical, particularly for low- and middle-income countries facing disproportionate impacts.
• Current global economic conditions necessitate efficient allocation of disaster relief funds.

Purpose of the Study:

• To present a methodology for estimating the economic benefits of DRR measures using advanced probabilistic catastrophe models.
• To assess the cost-effectiveness of selected DRR interventions in developing countries.

Main Methods:

• Utilized advanced probabilistic catastrophe models to quantify risks.
• Applied models to estimate hurricane risk for residential structures in St. Lucia.
• Applied models to estimate earthquake risk for residential structures in Istanbul, Turkey.
• Estimated costs and economic benefits of DRR measures considering hazard, exposure, and vulnerability.

Main Results:

• Developed and applied novel catastrophe models for risk assessment.
• Quantified the economic benefits of specific DRR measures in case studies.
• Provided data for cost-benefit analyses of DRR in vulnerable regions.

Conclusions:

• Catastrophe model-based cost-benefit analyses offer a robust framework for evaluating DRR measures.
• Highlights the advantages and challenges of implementing such analyses in developing countries.
• Emphasizes the importance of data-driven approaches for optimizing disaster risk reduction investments.