International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.925-931
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  • 2024
  • /
  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Assessing Multiple Hazard Recognition Abilities of Construction Equipment Operators in Dark Environments Using Virtual Reality

  • Sangkil Song (Department of Architectural Engineering, Yonsei University) ;
  • Juwon Hong (Department of Architectural Engineering, Yonsei University) ;
  • Jinwoo Choi (Department of Architectural Engineering, Yonsei University) ;
  • Minjin Kong (Department of Architectural Engineering, Yonsei University) ;
  • Jongbaek An (Department of Architectural Engineering, Yonsei University) ;
  • Jaewon Jeoung (Department of Architectural Engineering, Yonsei University) ;
  • Taehoon Hong (Department of Architectural Engineering, Yonsei University)
  • Published : 2024.07.29
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Abstract

Struck-by accidents on construction sites are one of the major accidents that need to be prevented. Poor visual environments (especially, dark environments) and multiple hazards appearing simultaneously can lead to struck-by accidents due to failure of hazard recognition by construction equipment operators. Therefore, this study aimed to assess multiple hazard recognition abilities of construction equipment operators in dark environments. To this end, virtual reality-based experiments were designed and conducted to collect data on three metrics for multiple hazard recognition abilities: (i) initial recognition time (IRT); (ii) average recognition time per hazard (ART); (iii) the number of false alarms (NoFA). The effect of the number of hazards on multiple hazard recognition abilities in dark environments was analyzed using two statistical methods: (i) Friedman test; (ii) Spearman correlation analysis. The number of hazards has a significant effect on multiple hazard recognition abilities. The data groups for IRT and ART, categorized by the number of hazards, had statistically significant differences. In addition, the number of hazards have negative correlations with IRT and ART. Especially, multiple hazard recognition abilities were lowest when the number of hazards was extremely low (i.e., the number of hazards was 1). Based on these results, construction companies will be able to plan worker allocations that prevent struck-by accidents by increasing multiple hazard recognition abilities in dark environments on construction sites.

Keywords

Acknowledgement

The support of the National Research Foundation of Korea (NRF) grand funded by the Korea government (MSIT; Ministry of Science and ICT) (NRF-2018R1A5A1025137) is gratefully acknowledged.

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