Authors : Christopher J. Rabe

Volume/Issue : Volume 11 - 2026, Issue 2 - February

Google Scholar : https://tinyurl.com/bd6pysan

Scribd : https://tinyurl.com/9jarcszy

DOI : https://doi.org/10.38124/ijisrt/26feb010

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Background: OSHA’s Severe Injury Reporting (SIR) program captures high-severity construction outcomes such as in-patient hospitalization and amputation. However, prevention prioritization commonly relies on incident counts that do not simultaneously represent injury severity, persistence of hazard mechanisms, and access-context conditions related to enforcement and training resources.  Methods: This paper presents the Construction Safety Threat Assessment and Reporting (C-STAR) framework—an interpretable severity-based scoring model that converts each SIR record into an incident-level Severe Incident Safety Score (SISS) by summing three factors: OSHA Regulatory Compliance context (ORC), Hazard Incident Severity (HIS), and Hazard Recurrence Probability (HRP). Incident scores are further aggregated to compute a regional-level Regional Safety Risk Score (RSRS) for comparative profiling.  Results: C-STAR defines transparent subfactor rules and fixed score ranges, producing interpretable outputs suitable for ranking, tiering, and sensitivity testing by varying scoring assumptions using secondary data only.  Conclusions: C-STAR provides a replicable decision-support approach for translating severe injury surveillance into structured risk scoring for prioritization and planning. GIS-based visualization is an optional downstream application of these GIS-ready outputs rather than a required component of the framework.

Keywords : C-STAR; Severe Injury Reports; Construction Safety; Risk Scoring; Focus Four; Recurrence; ORC; HIS; HRP; SISS; RSRS.

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