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Ahmed, S and Arocho, I (2022) Implementing a Choosing-by-Advantages Decision-Making Method to Evaluate the Critical Success Factors of Mass-Timber Building Materials in the US. Journal of Construction Engineering and Management, 148(10).

Chen, H, Zhu, Y and Luo, X (2022) TableGraph: An Image Segmentation–Based Table Knowledge Interpretation Model for Civil and Construction Inspection Documentation. Journal of Construction Engineering and Management, 148(10).

da Silva, T F L, de Carvalho, M M and Vieira, D R (2022) BIM Critical-Success Factors in the Design Phase and Risk Management: Exploring Knowledge and Maturity Mediating Effect. Journal of Construction Engineering and Management, 148(10).

Gan, V J L (2022) BIM-Based Building Geometric Modeling and Automatic Generative Design for Sustainable Offsite Construction. Journal of Construction Engineering and Management, 148(10).

Hassandokht Mashhadi, A, Handy, R, Farhadmanesh, M, Rashidi, A, Honda, T, Sleeth, D K and Henry, T (2022) Feasibility Study of Using Nebulizer-Retrofitted UAVs at Construction Projects: The Case Study of Residential Jobsites in Utah. Journal of Construction Engineering and Management, 148(10).

Kamardeen, I and Hasan, A (2022) Occupational Health and Safety Implications of an Aging Workforce in the Australian Construction Industry. Journal of Construction Engineering and Management, 148(10).

Kurwi, S, Demian, P, Hassan, T M and Blay, K B (2022) A Process Model for Collaboration at the Design Stage of Rail Project Delivery. Journal of Construction Engineering and Management, 148(10).

Li, N, Du, J, González, V A and Chen, J (2022) Methodology for Extended Reality–Enabled Experimental Research in Construction Engineering and Management. Journal of Construction Engineering and Management, 148(10).

Lin, S and Cheung, S O (2022) Intention to Settle as an Indispensable Element of Negotiated Construction Dispute Settlement. Journal of Construction Engineering and Management, 148(10).

Lingard, H, Zhang, R P, LaBond, C, Clarke, J and Doan, T (2022) Situated Learning: How Interactions with Supervisors Shape Construction Apprentices’ Safety Learning and Practice. Journal of Construction Engineering and Management, 148(10).

Mantha, B R K and Garcia de Soto, B (2022) Investigating the Fiducial Marker Network Characteristics for Autonomous Mobile Indoor Robot Navigation Using ROS and Gazebo. Journal of Construction Engineering and Management, 148(10).

Naji, K K, Gunduz, M and Hamaidi, M F (2022) Major Factors Affecting Construction Waste Management in Infrastructure Projects Using Structural Equation Model. Journal of Construction Engineering and Management, 148(10).

Paquin, J, Morin, P, Lambert, A and Koplyay, T (2022) Assessing Project Contingency Reserves with the Expected Cost Overrun Risk Measure. Journal of Construction Engineering and Management, 148(10).

Retamal, F, Salazar, L A and Alarcón, L F (2022) Online Monitoring and Implementation of Commitment Management Performance and Its Impact on Project Planning in Four Construction Projects. Journal of Construction Engineering and Management, 148(10).

Tian, D, Li, M, Han, S and Shen, Y (2022) A Novel and Intelligent Safety-Hazard Classification Method with Syntactic and Semantic Features for Large-Scale Construction Projects. Journal of Construction Engineering and Management, 148(10).

  • Type: Journal Article
  • Keywords: Large-scale project; Construction safety hazard; Text classification; Graph structure; Bidirectional Encoder Representations from Transformers (BERT); Graph convolutional network (GCN); Bidirectional long short-term memory (BiLSTM);
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002382
  • Abstract:
    To improve the efficiency of safety management, it is important to classify massive and complex construction site safety hazard texts in large-scale projects. High-precision safety hazard text classification is a lengthy and challenging process. Most existing safety hazard text classification methods capture semantic information using machine learning or deep learning, ignoring the syntactic dependency between words. However, syntactic dependency contains rich structural information that is useful to alleviate information loss and enrich text features. To address these issues, this study proposes a graph structure–based hybrid deep learning method to achieve the automatic classification of large-scale project safety hazard texts. The method uses syntactic dependency and Bidirectional Encoder Representation from Transformers to express the syntactic structure and semantic information of text, and a graph structure fusing the syntactic structure and semantic information is constructed to quantify text information. Further, an encoding-decoding mechanism is built using a graph convolutional neural network and bidirectional long short-term memory to address graph structure data and classify safety hazard texts. Our proposed method is used to classify hydraulic engineering construction safety hazard texts, and the classification accuracy reaches 86.56%. Meanwhile, the experimental results demonstrate that our model achieves superior performance compared to existing methods. This proves the ability of our model to capture and analyze text information and verifies the reliability and effectiveness of this method in large-scale project safety hazard management.

Wang, B, Geng, L, Dang, P and Zhang, L (2022) Developing a Framework for Dynamic Organizational Resilience Analysis in Prefabricated Construction Projects: A Project Life Cycle Perspective. Journal of Construction Engineering and Management, 148(10).

Wu, H, Zhang, P, Li, H, Zhong, B, Fung, I W H and Lee, Y Y R (2022) Blockchain Technology in the Construction Industry: Current Status, Challenges, and Future Directions. Journal of Construction Engineering and Management, 148(10).

Xue, H, Sun, T and Zheng, J (2022) Organizational Elements and Collaborative Organizational Citizenship Behavior in Off-Site Construction Projects: Configurational Approach. Journal of Construction Engineering and Management, 148(10).

Zhu, Q, Zhou, T, Xia, P and Du, J (2022) Robot Planning for Active Collision Avoidance in Modular Construction: Pipe Skids Example. Journal of Construction Engineering and Management, 148(10).