Accidents of Electrical and Mechanical Works for Public Sector Projects in Hong Kong

Int J Environ Res Public Health. 2018 Mar 10;15(3):485. doi: 10.3390/ijerph15030485.

Abstract

A study on electrical and mechanical (E&M) works-related accidents for public sector projects provided the opportunity to gain a better understanding of the causes of accidents by analyzing the circumstances of all E&M works accidents. The research aims to examine accidents of E&M works which happened in public sector projects. A total of 421 E&M works-related accidents in the "Public Works Programme Construction Site Safety and Environmental Statistics" (PCSES) system were extracted for analysis. Two-step cluster analysis was conducted to classify the E&M accidents into different groups. The results identified three E&M accidents groups: (1) electricians with over 15 years of experience were prone to 'fall of person from height'; (2) electricians with zero to five years of experience were prone to 'slip, trip or fall on same level'; (3) air-conditioning workers with zero to five years of experience were prone to multiple types of accidents. Practical measures were recommended for each specific cluster group to avoid recurrence of similar accidents. The accident analysis would be vital for industry practitioners to enhance the safety performance of public sector projects. This study contributes to filling the knowledge gap of how and why E&M accidents occur and promulgating preventive measures for E&M accidents which have been under researched.

Keywords: cluster analysis; electrical and mechanical; public sector projects; safety.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Occupational / prevention & control
  • Accidents, Occupational / statistics & numerical data*
  • Adult
  • Cluster Analysis
  • Construction Industry / statistics & numerical data*
  • Electricity
  • Facility Design and Construction
  • Female
  • Hong Kong
  • Humans
  • Industry
  • Male
  • Middle Aged
  • Public Sector / statistics & numerical data*
  • Safety Management
  • Young Adult