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Semantic Network Analysis Using Construction Accident Cases to Understand Workers' Unsafe Acts.

Suhyun Kang1, Sunyoung Cho1, Sungmin Yun2

  • 1School of Architecture, Yeungnam University, Gyeongsan-si 38541, Korea.

International Journal of Environmental Research and Public Health
|December 10, 2021
PubMed
Summary

Worker errors cause construction accidents. This study used semantic network analysis on 60,000 cases to identify human factors, finding perceptual and skill-based errors are major causes of unsafe acts.

Keywords:
HFACSconstruction accident caseconstruction workershuman errorsemantic network analysisunsafe acts

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Area of Science:

  • Occupational Safety and Health
  • Human Factors Engineering
  • Construction Management

Background:

  • Unsafe worker acts are primary drivers of accidents in the construction industry.
  • Prior research on human error in construction accidents is limited by small sample sizes.
  • A comprehensive analysis of a large dataset is needed to understand human error's role in construction safety.

Purpose of the Study:

  • To develop a semantic network analysis (SNA) model for analyzing human error factors in construction accidents.
  • To identify and classify major human error factors contributing to unsafe acts using a modified HFACS framework.
  • To analyze correlations between human error factors and their impact on construction safety.

Main Methods:

  • Utilized a large dataset of approximately 60,000 construction accident cases.
  • Applied a modified Human Factor Analysis and Classification System (HFACS) to categorize accident causes.
  • Conducted Semantic Network Analysis (SNA) to map relationships between human error factors.

Main Results:

  • Identified unintended acts, specifically perceptual errors (PERs) and skill-based errors (SBEs), as predominant causes of construction accidents.
  • Revealed significant correlations between various human error factors leading to unsafe acts.
  • Visualized the complex network of factors contributing to accidents, enhancing intuitive understanding.

Conclusions:

  • Perceptual and skill-based errors are critical targets for safety interventions in the construction industry.
  • SNA provides a powerful tool for understanding the multifaceted nature of human error in occupational safety.
  • The findings offer actionable insights for developing targeted safety training and protocols to reduce construction accidents.