TY - JOUR
T1 - IoT-based application for construction site safety monitoring
AU - Chung, William Wong Shiu
AU - Tariq, Salman
AU - Mohandes, Saeed Reza
AU - Zayed, Tarek
N1 - Funding Information:
This is to acknowledge that the project leading to the publication of this paper is fully funded by the Chinese National Engineering Research Centre for Steel Construction (CNERC), Hong Kong Branch, at the Hong Kong Polytechnic University. The authors would like to express the appreciation to the volunteers for their participation in the questionnaire survey and verbal conversations. The authors would also like to thanks the three anonymous reviewers for their constructive comments.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Construction safety
KW - Hong Kong
KW - internet of things
KW - IoT
KW - safety management system
KW - safety training
KW - site accidents
UR - http://www.scopus.com/inward/record.url?scp=85096114389&partnerID=8YFLogxK
U2 - 10.1080/15623599.2020.1847405
DO - 10.1080/15623599.2020.1847405
M3 - Journal article
AN - SCOPUS:85096114389
SN - 1562-3599
JO - International Journal of Construction Management
JF - International Journal of Construction Management
ER -