IDEAS home Printed from https://ideas.repec.org/a/cvr/ijisrt/202602ijisrt26feb010.html

The Construction Safety Threat Assessment and Reporting (C-STAR) Framework: A Severity-Based Risk Scoring Model Using OSHA Severe Injury Reports

Author

Listed:
  • Christopher J. Rabe

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.

Suggested Citation

  • Christopher J. Rabe, 2026. "The Construction Safety Threat Assessment and Reporting (C-STAR) Framework: A Severity-Based Risk Scoring Model Using OSHA Severe Injury Reports," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(02), pages 273-280, February.
  • Handle: RePEc:cvr:ijisrt:2026:02:ijisrt26feb010
    DOI: 10.38124/ijisrt/26feb010
    as

    Download full text from publisher

    File URL: https://www.ijisrt.com/the-construction-safety-threat-assessment-and-reporting-cstar-framework-a-severitybased-risk-scoring-model-using-osha-severe-injury-reports-
    Download Restriction: no

    File URL: https://libkey.io/10.38124/ijisrt/26feb010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvr:ijisrt:2026:02:ijisrt26feb010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rahul Goyel (email available below). General contact details of provider: https://www.ijisrt.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.