Multi-Factor Coupled Assessment of Seismic Disaster Risk for Buildings: A Case Study of Ankang City

This study presents a multi-factor coupled assessment of seismic disaster risk for approximately 635,000 individual building units in Ankang City, Shaanxi Province, China, utilizing a high-resolution dataset. The assessment methodology innovatively integrates the three core components of risk: seismic vulnerability V of load-bearing structures, site-specific seismic hazards R, and potential consequences C of damage, to formulate the Seismic Resilience Index ISR = C·R·V. Crucially, the approach advances established risk assessment frameworks by enhancing the spatial resolution of the site influence coefficient R using a high-resolution national site classification map and detailed local geological data. The results reveal that the areas with the lowest ISR values (indicating the lowest resilience and thus the highest risk) are predominantly concentrated in older residential districts of counties such as Ningshan, Hanyin, and Ziyang, where unreinforced masonry structures built prior to 1989 are widespread. The model assessment results align with expected structural performance characteristics, and the study concludes by offering quantified, priority-based recommendations for targeted structural intervention and seismic retrofitting in the identified highest-risk regions and building typologies.

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Publication Details

Journal
Buildings
Published
2025-12-14
DOI
https://doi.org/10.3390/buildings15244515
Primary Topic
Seismic Performance and Analysis
Type
article
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article

Multi-Factor Coupled Assessment of Seismic Disaster Risk for Buildings: A Case Study of Ankang City

Qinhu Tian, Dan Shao, Weichao Zhang, Rui Duan et al.
Buildings
Seismic Performance and Analysis
article

Multi-Factor Coupled Assessment of Seismic Disaster Risk for Buildings: A Case Study of Ankang City

Qinhu Tian, Dan Shao, Weichao Zhang, Rui Duan, Hao Ren
article en

Abstract

This study presents a multi-factor coupled assessment of seismic disaster risk for approximately 635,000 individual building units in Ankang City, Shaanxi Province, China, utilizing a high-resolution dataset. The assessment methodology innovatively integrates the three core components of risk: seismic vulnerability V of load-bearing structures, site-specific seismic hazards R, and potential consequences C of damage, to formulate the Seismic Resilience Index ISR = C·R·V. Crucially, the approach advances established risk assessment frameworks by enhancing the spatial resolution of the site influence coefficient R using a high-resolution national site classification map and detailed local geological data. The results reveal that the areas with the lowest ISR values (indicating the lowest resilience and thus the highest risk) are predominantly concentrated in older residential districts of counties such as Ningshan, Hanyin, and Ziyang, where unreinforced masonry structures built prior to 1989 are widespread. The model assessment results align with expected structural performance characteristics, and the study concludes by offering quantified, priority-based recommendations for targeted structural intervention and seismic retrofitting in the identified highest-risk regions and building typologies.

BuildingsVol. 15(24)
Heilongjiang Earthquake Agency (CN)
Openalex Percentile: Top 59%
Seismic Performance and Analysis
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Multi-Factor Coupled Assessment of Seismic Disaster Risk for Buildings: A Case Study of Ankang City — Qinhu Tian, Dan Shao, et al. · Buildings (2025) | TGRS Research Map | TGRS