aspg-22-4355-1791483529 20261008181849 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of BIM and Engineering Science IJBES 2571-1075 2026 12 2 Esam El-Mekawy School of Science, Engineering and Environment, University of Salford, UK Construction safety management increasingly depends on the ability to connect static building information models with dynamic evidence from site operations. This paper proposes a BIM-integrated semantic risk intelligence model that translates accident narratives into work-zone risk indicators and uses them to infer safety severity. The model links textual incident evidence with BIM-relevant descriptors, including construction phase, spatial zone, temporary protection status, energy isolation, and proximity to safety constraints. A formal risk-scoring layer is combined with supervised severity learning to provide interpretable decision support for safety planning and 4D coordination. The study contributes a reproducible methodology for converting unstructured safety reports into BIM-actionable risk representations, supporting early hazard prioritisation, design-for-safety review, and site control planning. The findings indicate that semantic evidence becomes more useful when it is explicitly fused with BIM phase and spatial context, rather than being treated as disconnected textual data. 2026 32 38 4355 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJBES.120205 https://www.americaspg.com/journal/22/article/4355 https://www.americaspg.com/storage/articles/manuscripts/01KT6NTADXE0HAYM0HKWQKCV33.pdf