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Abubakar, M E, Hasan, A and Jha, K N (2022) Delays and Financial Implications of COVID-19 for Contractors in Irrigation Projects. Journal of Construction Engineering and Management, 148(09).

Adibfar, A and Costin, A M (2022) Creation of a Mock-up Bridge Digital Twin by Fusing Intelligent Transportation Systems (ITS) Data into Bridge Information Model (BrIM). Journal of Construction Engineering and Management, 148(09).

Alqahtani, F K, Alkhaldi, M, Alsaqer, T, Abotaleb, I S, Mohamed, A G and Dirar, S (2022) A Comparative Assessment of Advanced Construction Systems Incorporating Green Concrete. Journal of Construction Engineering and Management, 148(09).

Besaiso, H and Fenn, P (2022) How International Construction Arbitrators Make Their Decisions: Status of Commercial Norms and International Construction Law. Journal of Construction Engineering and Management, 148(09).

Cadenazzi, T, Keles, B, Rahman, M K and Nanni, A (2022) Life-Cycle Cost and Life-Cycle Assessment of a Monumental Fiber-Reinforced Polymer Reinforced Concrete Structure. Journal of Construction Engineering and Management, 148(09).

Cao, Q, Zou, X and Zhang, L (2022) Multiobjective Robust Optimization Model for Generating Stable and Makespan-Protective Repetitive Schedules. Journal of Construction Engineering and Management, 148(09).

Dayan, V, Chileshe, N and Hassanli, R (2022) A Scoping Review of Information-Modeling Development in Bridge Management Systems. Journal of Construction Engineering and Management, 148(09).

Franz, B, Leicht, R, El Asmar, M and Molenaar, K (2022) Methodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research. Journal of Construction Engineering and Management, 148(09).

García de Soto, B, Turk, Å, Maciel, A, Mantha, B, Georgescu, A and Sonkor, M S (2022) Understanding the Significance of Cybersecurity in the Construction Industry: Survey Findings. Journal of Construction Engineering and Management, 148(09).

Guo, D, Song, Z, Xu, T, Zhang, Y and Ding, L (2022) Coupling Analysis of Tunnel Construction Risk in Complex Geology and Construction Factors. Journal of Construction Engineering and Management, 148(09).

Hasan, A and Kamardeen, I (2022) Occupational Health and Safety Barriers for Gender Diversity in the Australian Construction Industry. Journal of Construction Engineering and Management, 148(09).

Kamma, R C and Jha, K N (2022) Quantifying Building Construction and Demolition Waste Using Permit Data. Journal of Construction Engineering and Management, 148(09).

Lasni, A and Boton, C (2022) Implementing Construction Planning and Control Software: A Specialized Contractor Perspective. Journal of Construction Engineering and Management, 148(09).

Lee, G and Lee, S (2022) Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses. Journal of Construction Engineering and Management, 148(09).

Liu, D, Hu, C, Guo, S and Yu, J (2022) . Journal of Construction Engineering and Management, 148(09).

Liu, J, Liu, J and Bu, Z (2022) Effects of Different Face-Saving Concerns on the Escalation of Commitment between State-Owned and Private Investors in PPP Projects. Journal of Construction Engineering and Management, 148(09).

Liu, M, Zhu, Y, Wei, J, Le, Y and Zhang, X (2022) Impact of Institutional Pressures on External Program Manager Involvement: Evidence from Large Projects in China. Journal of Construction Engineering and Management, 148(09).

Luo, L, Wu, X, Hong, J and Wu, G (2022) Fuzzy Cognitive Map-Enabled Approach for Investigating the Relationship between Influencing Factors and Prefabricated Building Cost Considering Dynamic Interactions. Journal of Construction Engineering and Management, 148(09).

Meng, Q and Zhu, S (2022) Construction Activity Classification Based on Vibration Monitoring Data: A Supervised Deep-Learning Approach with Time Series RandAugment. Journal of Construction Engineering and Management, 148(09).

Naji, K K, Gunduz, M and Naser, A F (2022) The Effect of Change-Order Management Factors on Construction Project Success: A Structural Equation Modeling Approach. Journal of Construction Engineering and Management, 148(09).

Okudan, O and Çevikbaş, M (2022) Alternative Dispute Resolution Selection Framework to Settle Disputes in Public–Private Partnership Projects. Journal of Construction Engineering and Management, 148(09).

Pan, M, Yang, Y, Zheng, Z and Pan, W (2022) Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(09).

Qiao, J, Wang, C, Guan, S and Shuran, L (2022) Construction-Accident Narrative Classification Using Shallow and Deep Learning. Journal of Construction Engineering and Management, 148(09).

  • Type: Journal Article
  • Keywords: Data mining; Natural language processing; Machine learning; Text mining; Autocoding;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002354
  • Abstract:
    It is crucial to extract knowledge from past accidents to prevent future ones. To this end, narrative classification is required in text mining. This autocoding process can be seen as a multiclass classification problem with an imbalanced data set. We evaluated the performance of several state-of-the-art machine learning methods, including 10 shallow learning methods (Rocchio, k-nearest neighbors, linear regression, naive Bayes, decision tree, random forest, gradient boosting, bootstrap aggregating, support vector machine (SVM), and shallow neural network), and five deep learning methods [deep neural network, convolutional neural network (CNN), recurrent neural network with long short-term memory, and a gated recurrent unit, and recurrent CNN]. The input data set contained 4,770 construction accident reports from the Occupational Safety and Health Administration (OSHA). After the narratives were relabeled based on the Occupational Injury and Illness Classification System (OIICS), the accuracy of all shallow classifiers was significantly improved compared with that reported in previous studies. SVM and CNN achieved the highest accuracy of 0.91 and 0.90 among the shallow and deep learning methods, respectively. Misclassifications occur because training data sets lack rich diversity for minority classes, some cases belong to multiple classes, and some divisions have the same key feature words. In the future, when a new data set is available, we can use learned patterns to classify them with high accuracy in practice.

Tang, L, Chen, C, Li, H and Mak, D Y Y (2022) Developing a BIM GIS–Integrated Method for Urban Underground Piping Management in China: A Case Study. Journal of Construction Engineering and Management, 148(09).

Tavallaei, R, Mashayekhi, A, Harrison, N, Talebian, M and Moser, R (2022) BIM Adoption: A Case of Institutional Pressures and Top Management Support. Journal of Construction Engineering and Management, 148(09).

Tayebi Jebeli, M, Asadollahfardi, G and Abbasi Khalil, A (2022) Novel Application of Micro-Nanobubble Water for Recycling Waste Foundry Sand: Toward Green Concrete. Journal of Construction Engineering and Management, 148(09).

ter Huurne, R, Scholtenhuis, L O and Dorée, A (2022) Change Triggers in Early Innovation Stages: How Technology Pilots Enable Routine Reflection. Journal of Construction Engineering and Management, 148(09).

Tian, D, Liu, H, Chen, S, Li, M and Liu, C (2022) Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge. Journal of Construction Engineering and Management, 148(09).

Xu, Z, Liang, Y, Xu, Y, Fang, Z and Stilla, U (2022) Geometric Modeling and Surface-Quality Inspection of Prefabricated Concrete Components Using Sliced Point Clouds. Journal of Construction Engineering and Management, 148(09).

Yu, W, Wang, K and Wu, H (2022) Empirical Comparison of Learning Effectiveness of Immersive Virtual Reality–Based Safety Training for Novice and Experienced Construction Workers. Journal of Construction Engineering and Management, 148(09).

Zhang, J, Zhou, Q, Li, F and Zhang, S (2022) Case Study of Field Application of Prefabricated Anchoring Frame Beam Structure in Slope Supporting Projects. Journal of Construction Engineering and Management, 148(09).

Zhang, S, Bogus, S M, Lippitt, C D, Kamat, V and Lee, S (2022) Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective. Journal of Construction Engineering and Management, 148(09).

Zhang, W, Yuan, G, Xue, R, Han, Y and Taylor, J E (2022) Mitigating Common Method Bias in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(09).