Review of Methods and Software Tools for Disaster Risk Assessment
Date issued
September 2025
Subject
Risk Management;
Artificial Intelligence;
Climate Change;
Hurricane;
Earthquake;
Disaster Risk Management;
Flood Damage;
Infrastructure Development;
Resilience;
Disaster;
Computer Software;
Machine Learning;
Deep Learning;
Open Source
JEL code
N56 - Latin America • Caribbean;
D81 - Criteria for Decision-Making under Risk and Uncertainty;
O18 - Urban, Rural, Regional, and Transportation Analysis • Housing • Infrastructure;
Q54 - Climate • Natural Disasters and Their Management • Global Warming
Category
Technical Notes
This document presents a technical review of tools and methodologies for disaster risk assessment, with an emphasis on multi-hazard platforms. It analyzes mathematical models, artificial intelligencebased approaches, and methodologies that integrate social vulnerability and governance. Platforms such as CAPRA, CLIMADA, IN-CORE, HAZUS, InaSAFE, RiskScape, and OASIS are compared based on criteria including accessibility, scientific validation, flexibility, developer community, and compatibility with global data.
Among the evaluated tools, CLIMADA stands out for its ability to incorporate climate change scenarios and analyze adaptation measures through a modular, open-science approach. The review highlights the importance of integrating social and governance factors for a more comprehensive risk assessment, aimed at strengthening resilience and guiding strategic investments. The analysis provides a technical foundation for selecting robust and applicable platforms across diverse contexts in Latin America and the Caribbean.
Among the evaluated tools, CLIMADA stands out for its ability to incorporate climate change scenarios and analyze adaptation measures through a modular, open-science approach. The review highlights the importance of integrating social and governance factors for a more comprehensive risk assessment, aimed at strengthening resilience and guiding strategic investments. The analysis provides a technical foundation for selecting robust and applicable platforms across diverse contexts in Latin America and the Caribbean.
NO