Please use this identifier to cite or link to this item: https://doi.org/10.1080/17517575.2021.1878283
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dc.titleA personalized Human Factors Analysis and Classification System (HFACS) for construction safety managementbased on context-aware technology
dc.contributor.authorNing Tang
dc.contributor.authorHao Hu
dc.contributor.authorFeng Xu
dc.contributor.authorJustin Yeoh
dc.contributor.authorDavid Chua
dc.contributor.authorZhe Hu
dc.date.accessioned2022-02-21T09:17:46Z
dc.date.available2022-02-21T09:17:46Z
dc.date.issued2021-02-17
dc.identifier.citationNing 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
dc.identifier.issn1751-7575
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/215759
dc.description.abstractHuman-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.
dc.publisherTaylor & Francis
dc.sourceTaylor & Francis
dc.subjectconstruction workers
dc.subjectcontext-aware technology
dc.subjecthuman factors analysis classification system (HFACS)
dc.subjectHuman-related errors
dc.subjectpersonalised safety instruction management (PSIM)
dc.typeReview
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1080/17517575.2021.1878283
dc.description.sourcetitleEnterprise Information Systems
dc.description.volume16
dc.description.issue1
dc.description.page141-166
dc.published.statePublished
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