Mining safety hazard management collaboration features from large construction projects

doi:10.16511/j.cnki.qhdxxb.2021.22.045

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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.

Keywords large construction projects safety hazards management collaboration feature mining

Issue Date: 22 January 2022

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	ZHANG Dongcheng
	QIANG Maoshan
	JIANG Hanchen
	HUANG Yujie

Cite this article:

ZHANG Dongcheng,QIANG Maoshan,JIANG Hanchen, et al. Mining safety hazard management collaboration features from large construction projects[J]. Journal of Tsinghua University(Science and Technology), 2022, 62(2): 208-214.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2021.22.045 OR http://jst.tsinghuajournals.com/EN/Y2022/V62/I2/208

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