Modeling seismic risk and economic loss for urban sustainability: insights from a Gulf city

Abstract This study delivers the first comprehensive microzonation-based seismic risk assessment for the Al-Seeb region in Muscat, Oman. It integrates geotechnical, structural, environmental, and socio-economic vulnerability factors using a Geographical Information System (GIS) based multi-criteria framework. The Analytic Hierarchy Process (AHP) was employed to systematically weight and integrate these indicators, ensuring an objective evaluation of their relative influence on overall seismic vulnerability. Moving beyond traditional methods, it translates microzonation data into spatially distributed Average Annual Loss (AAL) zones and estimates economic impacts through Loss Exceedance Curves (LEC) and Probable Maximum Loss (PML). By coupling detailed hazard zonation with building typologies and infrastructure exposure, the study develops an asset-level risk profile, revealing sharp spatial variations in seismic risk driven by site conditions and construction quality. The results serve as a vital planning tool for civil authorities, aligning with Oman Vision 2040 and United Nations Sustainable Development Goal (UN SDG) 11. The approach offers a scalable model for rapidly urbanizing Gulf cities such as Doha, Riyadh, Dubai, and Kuwait, providing a data-informed foundation for enhancing infrastructure resilience and strengthening disaster risk management strategies.

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Publication Details

Journal
Modeling Earth Systems and Environment
Published
2026-03-03
DOI
https://doi.org/10.1007/s40808-026-02746-3
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Modeling seismic risk and economic loss for urban sustainability: insights from a Gulf city

Issa El-Hussain, Abdullah Ansari, Badee Alshameri, Ayed Eid Alluqmani et al.
Modeling Earth Systems and Environment
Infrastructure Resilience and Vulnerability Analysis
article

Modeling seismic risk and economic loss for urban sustainability: insights from a Gulf city

Issa El-Hussain, Abdullah Ansari, Badee Alshameri, Ayed Eid Alluqmani, Yewuhalashet Fissha, Hajar Al-Qayoudhi, Yousuf Al-Shijbi, Shima Albalushi
article en

Abstract

Abstract This study delivers the first comprehensive microzonation-based seismic risk assessment for the Al-Seeb region in Muscat, Oman. It integrates geotechnical, structural, environmental, and socio-economic vulnerability factors using a Geographical Information System (GIS) based multi-criteria framework. The Analytic Hierarchy Process (AHP) was employed to systematically weight and integrate these indicators, ensuring an objective evaluation of their relative influence on overall seismic vulnerability. Moving beyond traditional methods, it translates microzonation data into spatially distributed Average Annual Loss (AAL) zones and estimates economic impacts through Loss Exceedance Curves (LEC) and Probable Maximum Loss (PML). By coupling detailed hazard zonation with building typologies and infrastructure exposure, the study develops an asset-level risk profile, revealing sharp spatial variations in seismic risk driven by site conditions and construction quality. The results serve as a vital planning tool for civil authorities, aligning with Oman Vision 2040 and United Nations Sustainable Development Goal (UN SDG) 11. The approach offers a scalable model for rapidly urbanizing Gulf cities such as Doha, Riyadh, Dubai, and Kuwait, providing a data-informed foundation for enhancing infrastructure resilience and strengthening disaster risk management strategies.

Modeling Earth Systems and EnvironmentVol. 12(2)
National Institute of Technology, Asahikawa College (JP), Islamic University of Madinah (SA), Sultan Qaboos University (OM), National University of Sciences and Technology (PK)
Openalex Percentile: Top 37%
Infrastructure Resilience and Vulnerability Analysis
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