Construction Hazard Awareness and Construction Safety Knowledge Sharing Epistemology

Li, Rita Yi Man; Chau, Kwong Wing; Lu, Weisheng; Ho, Daniel Chi Wing; Shoaib, Muhammad; Li, Meng

doi:10.1680/icsic.64669.283

Cited by 14 publications

(11 citation statements)

References 20 publications

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“…Safety climate research has suggested that safety knowledge is a critical determinant of safety behavior or may act as a mediator between safety climate and safety performance [24]. Improving the safety knowledge of workers helps to reduce the risk of accidents [25].…”

Section: Safety Knowledgementioning

confidence: 99%

“…Le et al [27] proposed an online social virtual reality system framework, which allowed students to perform role-playing, dialogic learning, and social interactions for construction health and safety education. Li et al [25] presented Internet of things applications for knowledge exchange and safety awareness in construction. Although researchers have mentioned the importance of safety knowledge in safety performance, relatively little is known about the mechanism of safety knowledge transformation.…”

Section: Safety Knowledgementioning

confidence: 99%

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Exploring On-Site Safety Knowledge Transfer in the Construction Industry

Huang

Yang

2019

Sustainability

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A primary cause of occupational accidents is on-site workers not having proper or even adequate safety knowledge and awareness, leading to them failing to employ safety measures, equipment, or behavior to protect themselves. The complexity of construction projects and changes in organizational personnel complicate the safety knowledge transfer process. Therefore, to reduce occupational accidents in the construction industry, this study explored the on-site safety knowledge transfer process as well as its relationship with a safe working environment; it did this to understand the associations between various constructs in the process, which could be used as a reference for management personnel to promote on-site safety education and behaviors. This would allow safety knowledge to be learned and practiced by on-site workers, changing their unsafe behaviors and creating a safe on-site work environment. This study used structural equation modeling to empirically study the relationship between various constructs during safety knowledge transfer on a construction site. The results revealed that an excellent safety knowledge transfer environment can lead to favorable safety behavior as well as safety knowledge application and inspiration of on-site workers, which would affect their safety behaviors. More satisfactory safety behaviors of on-site workers could produce a safer working environment on the construction site. Moreover, although safety application and inspiration do not directly affect the safety of a work environment, they do so indirectly through safety behaviors.

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Section: Safety Knowledgementioning

confidence: 99%

Section: Safety Knowledgementioning

confidence: 99%

Exploring On-Site Safety Knowledge Transfer in the Construction Industry

Huang

Yang

2019

Sustainability

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“…Construction is a complex, information-intensive, highly interdependent process where success often depends on timely access to actionable information. The sharing of safety information is of huge significance in safety management processes and accident prevention efforts [ 22 ], however, there are numerous barriers impeding effective dissemination in practice. This section expounds on the technical and organizational challenges to safety information sharing, and then reviews works on knowledge engineering technologies such as linked data, ontologies, and knowledge graphs which can contribute to resolving the identified issues.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Le et al [ 31 ] developed a social network system for sharing construction health and safety knowledge. Li et al [ 22 ] investigated the use of web 2.0, IoT, and mobile applications in safety knowledge sharing. The study highlighted the lack of scholarly research on knowledge management and sharing in construction.…”

Section: Literature Reviewmentioning

confidence: 99%

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies

Pedro

Pham-Hang

Nguyen

et al. 2022

IJERPH

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Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances in data science and industry 4.0 present new unprecedented opportunities for the industry to leverage, share, and reuse safety information more efficiently. However, potential benefits of information sharing are missed due to accident data being inconsistently formatted, non-machine-readable, and inaccessible. Hence, learning opportunities and insights cannot be captured and disseminated to proactively prevent accidents. To address these issues, a novel information sharing system is proposed utilizing linked data, ontologies, and knowledge graph technologies. An ontological approach is developed to semantically model safety information and formalize knowledge pertaining to accident cases. A multi-algorithmic approach is developed for automatically processing and converting accident case data to a resource description framework (RDF), and the SPARQL protocol is deployed to enable query functionalities. Trials and test scenarios utilizing a dataset of 200 real accident cases confirm the effectiveness and efficiency of the system in improving information access, retrieval, and reusability. The proposed development facilitates a new “open” information sharing paradigm with major implications for industry 4.0 and data-driven applications in construction safety management.

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“…Inadequate safety knowledge in this case encompasses a scenario where an employee may have a low perception of the risks associated with their workplace activities or task. According to Li (2019), this may further be influenced by the employee's ability to make accurate and timely decision based on their cognitive ability which supports their tendency for spotting the hazards to prevent accident occurrence. Even when the management provide adequate safety device, some employees are naturally inclined than others to take risks.…”

Section: Lack Of Adequate Safety Knowledgementioning

confidence: 99%