Please use this identifier to cite or link to this item: https://doi.org/10.1080/17517575.2021.1878283
Title: A personalized Human Factors Analysis and Classification System (HFACS) for construction safety managementbased on context-aware technology
Authors: Ning Tang
Hao Hu 
Feng Xu
Justin Yeoh 
David Chua 
Zhe Hu
Keywords: construction workers
context-aware technology
human factors analysis classification system (HFACS)
Human-related errors
personalised safety instruction management (PSIM)
Issue Date: 17-Feb-2021
Publisher: Taylor & Francis
Citation: Ning Tang, Hao Hu, Feng Xu, Justin Yeoh, David Chua, Zhe Hu (2021-02-17). A personalized Human Factors Analysis and Classification System (HFACS) for construction safety managementbased on context-aware technology. Enterprise Information Systems 16 (1) : 141-166. ScholarBank@NUS Repository. https://doi.org/10.1080/17517575.2021.1878283
Abstract: Human-related errors are the major causes of most accidents in construction industry, and Human Factors Analysis and Classification System (HFACS) is widely used to analyze and prevent these accidents. However, traditional HFACS models are usually conducted post-accident and neglect personalized accident causal factors that reflect the safety state of individuals more directly and varies in near real time. In this study, an improved HFACS model for personalized safety management is developed from literature research and expert experience and preliminary results show that the model is superior to traditional safety management by reflecting and analyzing the personalized safety state of workers.
Source Title: Enterprise Information Systems
URI: https://scholarbank.nus.edu.sg/handle/10635/215759
ISSN: 1751-7575
DOI: 10.1080/17517575.2021.1878283
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