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

Bibliographic Data

ID15514547
AuthorsFrancis K W Wong (Hong Kong Polytechnic University), Francis Wong (0000-0002-5275-0415, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China), Albert P C Chan (0000-0002-4853-6440, Hong Kong Polytechnic University), Albert Chan (0000-0002-4972-5569, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China), K W Wong (0000-0002-5657-3989, Hong Kong Polytechnic University), Andy Wong (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China), Carol K H Hon (0000-0003-3915-5416, Queensland University of Technology), Tracy N Y Choi (0000-0001-8008-3296, Hong Kong Polytechnic University, corresponding author), Tracy Choi (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China)
Year2018
Volume15
Issue3
Pages485-485
Publication date2018-03-10
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15030485
PMID29534429
OpenAlexW2789770691
LanguageEN
References cited51

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

Business · Cluster (spacecraft · Environmental health · Forensic engineering · Injury prevention · Occupational accident · Occupational safety and health · Operations management · Poison control · Political science · Public sector · Public work · Transport engineering · Computer Science · Engineering · Human Factors and Ergonomics · Medicine · Occupational Health and Safety Research · Public Administration · Quality and Safety in Healthcare · Risk and Safety Analysis

  • Latent Class Cluster Analysis

    Open Access•Jeroen K Vermunt, Jay Magidson•Applied Latent Class Analysis•2002

Highly citedNo

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