A Performance‐Based Earthquake Fatality Modeling Framework Using Collapse Volume Ratios
Year: 2026
Type: article
Abstract: Conventional earthquake fatality models represent building collapse as a binary state, an assumption that overlooks severe failure modes and systematically underestimates fatalities. This study advances the collapse volume ratio—a continuous metric quantifying the reduction of survivable space during collapse—into a probabilistic framework that directly links structural failure to fatality risk. Although previously introduced and quantified in limited studies, we extend its role from an observational measure to an analytical component of performance-based earthquake engineering modeling. The framework is designed for versatility, allowing implementation with different levels of data availability, including site-specific collapse observations, collapse fragility functions, or complete-damage fragility functions. Its applicability is demonstrated by leveraging post-earthquake data from reinforced concrete moment frame buildings affected by the 2023 Kahramanmaraş earthquakes and through case studies of mid-1970s non-ductile and post-1997 ductile concrete space-frame archetypes in California. Results show that conventional approaches, constrained by binary collapse assumptions, may underpredict fatalities by up to fortyfold at high shaking intensities. In contrast, the proposed framework reproduces observed fatality rates, estimating that under Maximum Considered Earthquake shaking, non-ductile buildings may experience fatality rates of 65%, compared to 11% for ductile buildings. These findings provide quantitative evidence of the life-safety benefits of modern seismic design and highlight the urgent need for retrofit policies addressing older, non-ductile construction.
Source: Earthquake Spectra
DOI: 10.1002/esp4.70057
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,400
Awards: Collaborative Research: Enhancing Earthquake Casualty Predictions: A Novel Modeling Framework Informed by Epidemiology and Local Human-Building Dynamics, Collaborative Research: Enhancing Earthquake Casualty Predictions: A Novel Modeling Framework Informed by Epidemiology and Local Human-Building Dynamics
OpenAlex ID: W4414799743
