Ebdfes: Post-earthquake building damage and fatality estimation system

Rapid estimation of building loss and fatalities is essential for post-earthquake response. The Post-Earthquake Building Damage and Fatality Estimation System (Ebdfes) was developed using Python to capture real-time earthquake events and automatically trigger assessments of building damage and fatalities. Specifically, Ebdfes considers building damage as a multidimensional correlated variable and employs sampling techniques to simulate potential earthquake impacts. By integrating Kriging interpolation and multithreading techniques, the system significantly enhances computational efficiency. Furthermore, Ebdfes provides visualization of estimation results, offering valuable support for decision-making in emergency management and capital allocation for catastrophe insurance companies. • Real-time capture of earthquake events and source parameters, triggering building loss and fatality estimation. • Uses Gaussian Copula and Monte Carlo sampling to simulate possible earthquake impacts. • Kriging interpolation and multithreading improve efficiency, enabling fast real-time estimations. • Validated with historical earthquakes, ensuring reliable loss and fatality estimations. • Provides visualized loss estimations, supporting emergency management and insurance decision-making.