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Updated: Aug 7, 2025
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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
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Improving Safety Performance of Construction Workers through Learning from Incidents.
Albert P C Chan1,2, Junfeng Guan1, Tracy N Y Choi2
1Shenzhen Research Institute of the Hong Kong Polytechnic University, Shenzhen 518057, China.
Summary
Learning from incidents (LFI) improves worker safety performance. Key factors like information sharing and management commitment significantly enhance safety outcomes in construction.
Area of Science:
- Occupational Safety and Health
- Construction Management
- Risk Management
Background:
- Learning from incidents (LFI) is crucial for preventing event recurrence.
- The impact of LFI on worker safety performance is not well understood.
- Construction sites present unique safety challenges.
Purpose of the Study:
- To identify key Learning from Incidents (LFI) factors influencing worker safety performance.
- To analyze the relationship between LFI factors and safety outcomes in the construction industry.
- To develop a model for optimizing LFI implementation to improve safety.
Main Methods:
- A questionnaire survey was distributed to 210 construction workers in China.
- Factor analysis was employed to identify underlying LFI factors.
- Stepwise multiple linear regression and Bayesian Network (BN) modeling were used to analyze relationships.
Main Results:
- All identified LFI factors were found to be important for improving worker safety performance.
- Information sharing and utilization, along with management commitment, showed the most significant positive effects.
- The BN model identified the most effective strategies for enhancing safety performance.
Conclusions:
- LFI is a critical process for improving construction worker safety.
- Management commitment and effective information sharing are paramount for successful LFI.
- The study provides a framework for optimizing LFI practices in construction to reduce incidents.
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