Agel Vidian Krama, Irwan Meilano, Deni Suwardhi, Riantini Virtriana, Fiza Wira Atmaja, Rio Raharja, Nurul Qamilah, Shafarina Wahyu Trisyanti
This study presents a Building Information Modeling (BIM)-based approach for earthquake risk assessment that integrates the Global Earthquake Model (GEM) structural taxonomy to evaluate potential building damage and associated economic losses. The analysis focuses on four reinforced-concrete building complexes (a total of four buildings) at Institut Teknologi Bandung (ITB), West Java, which are located near the active Lembang Fault. Three-dimensional building exposure models were developed using BIM to represent key structural parameters, including building height, material composition, construction type, and floor configuration. These exposure models were combined with seismic hazard data characterized by peak ground acceleration (PGA) corresponding to a Mw 7.0 scenario earthquake to estimate damage probabilities using GEM-recommended fragility curves for comparable reinforced-concrete building typologies and associated vulnerability functions. The results indicate that approximately 30–40% (mean ≈ 35%) of the assessed buildings are expected to experience moderate damage under the selected earthquake scenario, with average direct economic losses ranging from USD 31,000 to USD 45,000 per building, reflecting uncertainties in fragility and vulnerability modeling. Overall, the proposed approach demonstrates the capability of BIM to enhance multi-dimensional exposure representation and to improve the accuracy of post-disaster economic loss estimation within the context of a limited campus-scale case study, thereby supporting resilience planning and risk informed decision making at the institutional level. Copyright © Int. J. of GEOMATE All rights reserved, including making copies, unless permission is obtained from the copyright proprietors.
Doctoral Program in Geodesy and Geomatics Engineering, Institut Teknologi Bandung, Bandung, Indonesia; Department of Geomatics Engineering, Institut Teknologi Sumatera, Bandar Lampung, Indonesia; Department of Geodesy and Geomatics Engineering, Institut Teknologi Bandung, Bandung, Indonesia; Research Center for Geoinformatics, National Research and Innovation Agency, Indonesia; Department of Industry Research, Division of IndonesiaRe Institute, PT Reasuransi Indonesia Utama, Jakarta, Indonesia