The Construction Safety Threat Assessment and Reporting (C-STAR) Framework: A Severity-Based Risk Scoring Model Using OSHA Severe Injury Reports
Christopher J. Rabe ()
International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 02, 273-280
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. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.ijisrt.com/the-construction-safety-thr ... vere-injury-reports- (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:02:ijisrt26feb010
DOI: 10.38124/ijisrt/26feb010
Access Statistics for this article
More articles in International Journal of Innovative Science and Research Technology (IJISRT) from IJISRT Publication
Bibliographic data for series maintained by Rahul Goyel ().