Mining safety hazard management collaboration features from large construction projects

ZHANG Dongcheng; QIANG Maoshan; JIANG Hanchen; HUANG Yujie

doi:10.16511/j.cnki.qhdxxb.2021.22.045

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (2) : 208-214. DOI: 10.16511/j.cnki.qhdxxb.2021.22.045

SPECIAL SECTION:CONSTRUCTION MANAGEMENT

Mining safety hazard management collaboration features from large construction projects

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Abstract

Safety hazard management of large construction projects is essential to ensuring construction safety. This study used text mining of safety hazard management information for more than three years collected from a large construction project's information system with automatic word segmentation, part-of-speech tagging and term frequency (TF)-inverse document frequency (IDF) analyses to extract and classify hazard features. This methodology analyzes the safety hazard features to identify the safety hazard conditions on site in real time. The hazard features are further analyzed by different hazard types and different roles of the organizations. This study also investigates the impact of the hazard features on the management efficiency. This paper provides an effective on site safety hazard management method which can help managers focus on the key needs and improve construction efficiency.

Key words

large construction projects / safety hazards / management collaboration / feature mining

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ZHANG Dongcheng, QIANG Maoshan, JIANG Hanchen, HUANG Yujie. Mining safety hazard management collaboration features from large construction projects[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 208-214 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.045

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