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.
Authors
- Issa El-Hussain (ORCID: https://orcid.org/0000-0003-2846-8214)
- Abdullah Ansari
- Badee Alshameri (ORCID: https://orcid.org/0000-0003-1792-0770)
- Ayed Eid Alluqmani (ORCID: https://orcid.org/0000-0002-6204-7803)
- Yewuhalashet Fissha (ORCID: https://orcid.org/0000-0002-8066-1065)
- Hajar Al-Qayoudhi
- Yousuf Al-Shijbi
- Shima Albalushi
Institutions
- National Institute of Technology, Asahikawa College (JP)
- Islamic University of Madinah (SA)
- Sultan Qaboos University (OM)
- National University of Sciences and Technology (PK)
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
- Field-Weighted Citation Impact
- 0.00