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Comprehensive Factor Analysis and Risk Quantification Study of Fall from Height Accidents
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Abstract: Falls from height (FFH) remain one of the leading causes of fatal and severe injuries in the construction, industrial, and oil & gas sectors worldwide. Despite regulatory advancements and safety interventions, these incidents continue to pose significant challenges to occupational safety professionals. This study aims to conduct a comprehensive factor analysis and risk quantification of fall-from-height accidents to understand their root causes, contributing conditions, and effective preventive strategies.
The study employs a mixed-method approach combining incident data review, Job Hazard Analysis (JHA), behavioural safety audits, and structured interviews with safety professionals. The Factor Analysis of Incident Data (FAID) is used to identify critical causal elements categorized into human, organizational, environmental, and technical domains. Key findings indicate that over 70% of FFH incidents are linked to a combination of unsafe practices, inadequate supervision, and poor planning during work-at-height activities.
A quantitative risk matrix is developed to assign risk scores based on the frequency and severity of each contributing factor. High-risk activities, such as scaffolding erection, roof work, and temporary platform use, were assessed using Bow-Tie analysis and Failure Modes and Effects Analysis (FMEA) to identify escalation factors and opportunities for risk reduction.
Furthermore, the study integrates Human Factors Engineering (HFE) and Safety Culture Assessments to understand the behavioural patterns associated with non-compliance. The findings suggest that targeted training, competent supervision, and a robust Permit-To-Work (PTW) system significantly reduce FFH risks.
This research offers valuable insights for safety professionals and decision-makers aiming to implement evidence-based controls. It emphasizes the importance of integrating predictive analytics, risk quantification, and human-centric design into fall prevention programs to move beyond compliance and foster a resilient safety culture.
Keywords: Fall From Height, Global Statistics on Fall-Related Injuries and Fatalities, Significance of Risk Quantification for Future Prevention, Contributing Factors to Fall from Height Accidents, Regulatory and Technological Interventions.
The study employs a mixed-method approach combining incident data review, Job Hazard Analysis (JHA), behavioural safety audits, and structured interviews with safety professionals. The Factor Analysis of Incident Data (FAID) is used to identify critical causal elements categorized into human, organizational, environmental, and technical domains. Key findings indicate that over 70% of FFH incidents are linked to a combination of unsafe practices, inadequate supervision, and poor planning during work-at-height activities.
A quantitative risk matrix is developed to assign risk scores based on the frequency and severity of each contributing factor. High-risk activities, such as scaffolding erection, roof work, and temporary platform use, were assessed using Bow-Tie analysis and Failure Modes and Effects Analysis (FMEA) to identify escalation factors and opportunities for risk reduction.
Furthermore, the study integrates Human Factors Engineering (HFE) and Safety Culture Assessments to understand the behavioural patterns associated with non-compliance. The findings suggest that targeted training, competent supervision, and a robust Permit-To-Work (PTW) system significantly reduce FFH risks.
This research offers valuable insights for safety professionals and decision-makers aiming to implement evidence-based controls. It emphasizes the importance of integrating predictive analytics, risk quantification, and human-centric design into fall prevention programs to move beyond compliance and foster a resilient safety culture.
Keywords: Fall From Height, Global Statistics on Fall-Related Injuries and Fatalities, Significance of Risk Quantification for Future Prevention, Contributing Factors to Fall from Height Accidents, Regulatory and Technological Interventions.
How to Cite:
[1] Jayachandran C. V, Dr. N. Dilip Raja, ME, Ph.D., “Comprehensive Factor Analysis and Risk Quantification Study of Fall from Height Accidents,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13528
This work is licensed under a Creative Commons Attribution 4.0 International License.