IoT-based application for construction site safety monitoring

William Wong Shiu Chung, Salman Tariq, Saeed Reza Mohandes, Tarek Zayed

Research output: Journal article publicationJournal articleAcademic researchpeer-review

44 Citations (Scopus)


Hong Kong construction safety has witnessed substantial improvement in the last three decades, however, accidents still occur frequently as more than 4,000 accidents are reported in the year 2017. Against this background, this research, firstly, aims to investigate the effectiveness of safety training for construction personnel in Hong Kong. A questionnaire is designed to explore the efficacy and weaknesses of mandatory basic safety training. The results indicate the inadequate knowledge of the concept of personal protective equipment as the main weakness of the workers. Secondly, to overcome the training weakness, an Internet-of-Things (IoT) based innovative safety model is designed to provide real-time monitoring of construction site personnel and environment. The proposed model not only identifies real-time personnel safety problems, i.e., near misses, to reduce the accident rates but also stores the digital data to improve future training and system itself. The proposed model in this research provides a cost-effective solution for optimal construction safety to the stakeholders. A cost comparison analysis suggests that the IoT system can provide 1) 78% cost-savings with respect to the traditional manual system and 2) 65% cost-savings with respect to the traditional sensor system.

Original languageEnglish
JournalInternational Journal of Construction Management
Publication statusAccepted/In press - 2020


  • Construction safety
  • Hong Kong
  • internet of things
  • IoT
  • safety management system
  • safety training
  • site accidents

ASJC Scopus subject areas

  • Building and Construction
  • Strategy and Management
  • Management of Technology and Innovation


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