PSI - Issue 78

Lorenzo Principi et al. / Procedia Structural Integrity 78 (2026) 1681–1688

1688

5. Conclusions This study developed an ANN model to predict the CER for existing bridges at a regional scale. The model relies on generally available input data, mainly from census and archives, avoiding the need for inspections. Building upon a previously developed framework, the approach was extended specifically for seismic risk prediction. The optimal ANN achieved an F1-score of 71%, showing good performance across all risk classes. Additionally, a GIS-based tool was developed to visualize model results and assist with regional planning and emergency response. The tool revealed clear spatial patterns and high-risk hotspots. Overall, the proposed framework proves effective and scalable, with potential to be extended to other hazards such as floods and landslides, already considered in the IG AGS. "Guideline for landslide susceptibility, hazard and risk zoning for land use planning.”. 2007. Australian Geomechanics 42.1: 13 - 36. Alogdianakis, F.; Dimitriou, L.; Charmpis, D. 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