Exploring Empirical Rules for Construction Accident Prevention Based on Unsafe Behaviors

Han Hsiang Wang, Jieh Haur Chen, Achmad Muhyidin Arifai, Masoud Gheisari

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper is aimed at exploring rules for construction accident prevention based on unsafe behaviors. The literature review demonstrates a clear connection between construction accident prevention and unsafe behaviors, followed by a 2-year field investigation resulting in 2207 observations based on convenient sampling with 95% confidence and 5% limit of errors in the 50–50 category. There are 80.43% unsafe behaviors categorized into “Regulations for the Occupational Safety and Health Equipment and Measures”, where there are 66.37% of regulations and law VII violations, linking fall prevention with the most cases (94.48%) of Fall Protection and Structure Strengthening. The Apriori yields 13 association rules, where the top 3 rules show that 44.11% of the Passage and lighting category is linked to construction equipment inspections; 29.41% of the high-pressure gas category is linked to construction equipment inspections; 100% of the fire prevention category is linked to fire protection unsafe behavior. The findings clarify the association rules that can prevent workers from accidents in construction sites.

Original languageEnglish
Article number4058
JournalSustainability (Switzerland)
Volume14
Issue number7
DOIs
StatePublished - 1 Apr 2022

Keywords

  • association rules
  • construction safety
  • data mining
  • unsafe behavior

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