A Localized Probabilistic Risk Framework Integrating Seismic Damage-Induced Fire Degradation for Dense Informal Historic Districts Under Earthquake and Post-Earthquake Fire

Earthquake and post-earthquake fire cascading hazards impose disproportionate risks on dense informal historic districts across South Asia. Conventional multi-hazard evaluation methodologies fail to accommodate non-engineered mixed-use constructions and ultra-compact unplanned urban morphologies prevalent in regional megacities, owing to two inherent limitations: decoupled quantification of seismic deterioration and structural fire performance, and fire spread parameters calibrated for regular Western urban grids rather than narrow, congested historic streetscapes. This work develops a localized probabilistic risk framework integrating seismic damage-induced fire degradation, and advances two dedicated methodological improvements to address the identified research voids. Seismic damage-dependent fire resistance reduction coefficients are embedded within cellular automaton iterations to dynamically modulate effective burnout durations of seismically compromised buildings; urban morphological correction factors are further incorporated to refine inter-building fire propagation probabilities tailored to compact informal settlements. Field inventories, nonlinear pushover finite element analysis, morphology-modified fire simulation and large-sample Monte Carlo stochastic sampling are integrated to execute full-process quantitative risk assessment, with model calibration and validation conducted against field survey data and the 2019 Chawkbazar chemical fire archive in Dhaka. The empirically validated framework (note: the validation primarily applies to the fire spread submodel; the coupled seismic–fire mechanism is supported by numerical simulation rather than empirical observation) delivers transferable quantitative benchmarks for multi-hazard governance of analogous South Asian historic agglomerations, and provides actionable technical evidence to inform targeted urban renewal schemes and the formulation of earthquake-fire coupled design specifications within Bangladesh’s national building regulatory codes.

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Publication Details

Journal
Buildings
Published
2026-09-29
DOI
https://doi.org/10.3390/buildings16193882
Primary Topic
Fire dynamics and safety research
Type
article
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article

A Localized Probabilistic Risk Framework Integrating Seismic Damage-Induced Fire Degradation for Dense Informal Historic Districts Under Earthquake and Post-Earthquake Fire

Xinghua Chen, Md Nazrul Islam
Buildings
Fire dynamics and safety research
article

A Localized Probabilistic Risk Framework Integrating Seismic Damage-Induced Fire Degradation for Dense Informal Historic Districts Under Earthquake and Post-Earthquake Fire

Xinghua Chen, Md Nazrul Islam
article en

Abstract

Earthquake and post-earthquake fire cascading hazards impose disproportionate risks on dense informal historic districts across South Asia. Conventional multi-hazard evaluation methodologies fail to accommodate non-engineered mixed-use constructions and ultra-compact unplanned urban morphologies prevalent in regional megacities, owing to two inherent limitations: decoupled quantification of seismic deterioration and structural fire performance, and fire spread parameters calibrated for regular Western urban grids rather than narrow, congested historic streetscapes. This work develops a localized probabilistic risk framework integrating seismic damage-induced fire degradation, and advances two dedicated methodological improvements to address the identified research voids. Seismic damage-dependent fire resistance reduction coefficients are embedded within cellular automaton iterations to dynamically modulate effective burnout durations of seismically compromised buildings; urban morphological correction factors are further incorporated to refine inter-building fire propagation probabilities tailored to compact informal settlements. Field inventories, nonlinear pushover finite element analysis, morphology-modified fire simulation and large-sample Monte Carlo stochastic sampling are integrated to execute full-process quantitative risk assessment, with model calibration and validation conducted against field survey data and the 2019 Chawkbazar chemical fire archive in Dhaka. The empirically validated framework (note: the validation primarily applies to the fire spread submodel; the coupled seismic–fire mechanism is supported by numerical simulation rather than empirical observation) delivers transferable quantitative benchmarks for multi-hazard governance of analogous South Asian historic agglomerations, and provides actionable technical evidence to inform targeted urban renewal schemes and the formulation of earthquake-fire coupled design specifications within Bangladesh’s national building regulatory codes.

BuildingsVol. 16(19)
China Three Gorges University (CN), Hubei Key Laboratory of Disaster Prevention and Mitigation (CN)
Sustainable cities and communities
Openalex Percentile: Top 12%
Fire dynamics and safety research
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