Application Verification of Rapid Earthquake Disaster Assessment Based on the Similarity Method
Abstract
Obtaining disaster information promptly post-earthquake provides a powerful scientific basis for deployment of emergency response operation. This study used recorded earthquake data from China to evaluate the usability of minimum-distance similarity models for rapid earthquake impact assessment and extends the approach's application to the assessment of multi-dimensional disaster indicators. Results demonstrate that different similarity models and case quantities yield optimal results for different earthquake impact assessments: Manhattan distance II (3–4 cases) for casualties, standardized Euclidean distance (1–3 or 5–8 cases) for direct economic losses, and Euclidean distance (8–10 cases) for stricken areas.
Fields of Study & Subjects
Seismology and Earthquake Studies
Research studies in Vietnam
Safety and Risk Management
Publication details
- Journal / source
- Journal of Earthquake Engineering
- Volume
- 30
- Issue
- 7
- Pages
- 1509–1528
- Publication date
- 5 January 2026
- Language
- EN