Speaker
Description
Seismic risk encompasses the potential damage and losses resulting from earthquake events. Reliable risk assessment, apart from hazard assessment, requires precise and, as much as possible, accurate definitions of both the exposure and vulnerability models, as these components are interdependent and influence one another. This study focuses on developing an exposure model for the Aerodrom municipality in Skopje, partitioned into three subareas: Blocks A, B, and C. The model integrates data from three sources: Google Street View, the publicly accessible cadastral platform of North Macedonia, and field surveys conducted to fill data gaps not covered by the first two sources. These datasets serve as the foundation for constructing the exposure model and generating the input parameters required for seismic risk analysis. For each building asset, the model encompasses essential definitions, such as geographical coordinates and related taxonomy attributes. The developed exposure model is based on the GEM v2.0 taxonomy, which incorporates 13 attributes. Using the developed exposure model, selected vulnerability curves from the GEM database were applied to quantify the seismic response of different building typologies. The preliminary results highlight differences arising from the use of different vulnerability models and selected Ground Motion Models (GMMs). This study provides a comprehensive overview of potential damage in the pilot region, aiding in the further development of seismic risk input parameters. The results are displayed according to the various damage states identified in the assessment. Values are expressed as a percentage of the total number of buildings, providing insight into the potential impact on the building stock.
| DOI | https://doi.org/10.5592/CO/3CroCEE.2025.108 |
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| Type | Full paper - scientific |






