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Safety Through Science.
Predictive Analytics / HECA
The goal is to identify the business factors, work characteristics, and crew demographics that best predict serious injury and fatality (SIF) incidents.
What the HECA?
Peer-reviewed publications
Hallowell, M. R., Bhandari, S., & Alruqi, W. (2020). Methods of safety prediction: Analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate. Construction Management and Economics, 38(4), 308-321. [ACCESS HERE]
Oguz Erkal, E. D., Hallowell, M. R., & Bhandari, S. (2021). Practical assessment of potential predictors of serious injuries and fatalities in construction. Journal of Construction Engineering and Management, 147(10), 04021129. [ACCESS HERE]
Erkal, E. D. O., & Hallowell, M. (2023). Moving Beyond TRIR: Measuring & Monitoring Safety Performance With High-Energy Control Assessments. Professional Safety, 68(05), 26-35. [ACCESS HERE]
Erkal, E. D. O., Hallowell, M. R., & Bhandari, S. (2023). Formal evaluation of construction safety performance metrics and a case for a balanced approach. Journal of safety research. [ACCESS HERE]
Hallowell, M.R. and Oguz Erkal, E.D. (2024) Severity-Based Lagging Indicator: An Alternative Measure of Safety Performance, Professional Safety, 69(04) 20-27 [ACCESS HERE]
Oguz Erkal, E. D., Hallowell, M. R., Ghriss, A. and Bhandari, S. (2024). Predicting Serious Injury and Fatality Exposure Using Machine Learning in Construction Projects. Journal of Construction Engineering and Management, 150(3), 04023169 [ACCESS HERE]
Hallowell, M., Oguz Erkal, E.D., Sherratt, F., Court, M., MacLean, B. and Davis, M. (2024) Safety Performance Measurement in Environmental, Social & Governance Frameworks, Professional Safety, July Edition. [ACCESS HERE]
