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Chen, L, Manley, K, Lewis, J, Helfer, F and Widen, K (2018) Procurement and Governance Choices for Collaborative Infrastructure Projects. Journal of Construction Engineering and Management, 144(08).
Cho, C, Kim, K, Park, J and Cho, Y K (2018) Data-Driven Monitoring System for Preventing the Collapse of Scaffolding Structures. Journal of Construction Engineering and Management, 144(08).
Faghih, S A M and Kashani, H (2018) Forecasting Construction Material Prices Using Vector Error Correction Model. Journal of Construction Engineering and Management, 144(08).
Hosseini, M R, Maghrebi, M, Akbarnezhad, A, Martek, I and Arashpour, M (2018) Analysis of Citation Networks in Building Information Modeling Research. Journal of Construction Engineering and Management, 144(08).
Ji, W and AbouRizk, S M (2018) Data-Driven Simulation Model for Quality-Induced Rework Cost Estimation and Control Using Absorbing Markov Chains. Journal of Construction Engineering and Management, 144(08).
Ji, W, AbouRizk, S M, Zaïane, O R and Li, Y (2018) Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering. Journal of Construction Engineering and Management, 144(08).
Kim, K, Cho, Y and Kim, K (2018) BIM-Driven Automated Decision Support System for Safety Planning of Temporary Structures. Journal of Construction Engineering and Management, 144(08).
Lee, J (2018) Value Engineering for Defect Prevention on Building Façade. Journal of Construction Engineering and Management, 144(08).
Maemura, Y, Kim, E and Ozawa, K (2018) Root Causes of Recurring Contractual Conflicts in International Construction Projects: Five Case Studies from Vietnam. Journal of Construction Engineering and Management, 144(08).
Pomares, J C, González, A and Saura, P (2018) Simple and Resistant Construction Built with Concrete Voussoirs for Developing Countries. Journal of Construction Engineering and Management, 144(08).
Qian, Q and Zhang, L (2018) Impact of Regulatory Focus on Choice of Project-Governance Modes: Role of Tolerance of Opportunistic Behavior. Journal of Construction Engineering and Management, 144(08).
Siebelink, S, Voordijk, J T and Adriaanse, A (2018) Developing and Testing a Tool to Evaluate BIM Maturity: Sectoral Analysis in the Dutch Construction Industry. Journal of Construction Engineering and Management, 144(08).
Su, C T, Santoro, M C and Mendes, A B (2018) Constructive Heuristics for Project Scheduling Resource Availability Cost Problem with Tardiness. Journal of Construction Engineering and Management, 144(08).
Tabish, S Z S and Jha, K N (2018) Beyond the Iron Triangle in Public Construction Projects. Journal of Construction Engineering and Management, 144(08).
Techera, U, Hallowell, M, Littlejohn, R and Rajendran, S (2018) Measuring and Predicting Fatigue in Construction: Empirical Field Study. Journal of Construction Engineering and Management, 144(08).
Wang, X, Huang, X, Luo, Y, Pei, J and Xu, M (2018) Improving Workplace Hazard Identification Performance Using Data Mining. Journal of Construction Engineering and Management, 144(08).
- Type: Journal Article
- Keywords: Workplace hazard identification; Hazard prediction; Data mining; Equivalence class transformation algorithm; Change mining; Data visualization;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001505
- Abstract:
Hazard identification, as the first major step of risk management, is a crucial activity for reducing accidents and other related losses. However, recent research has revealed that a large proportion of workplace hazards remain unidentified, and the identification process is also time consuming. To improve workplace hazard identification performance, an associated hazard prediction method is proposed which consists of an equivalence class transformation (Eclat) algorithm, a change mining algorithm, data visualization, and other data mining techniques. Through the data mining of historical hazard information, the method can extract association rules and changes related to an identified hazard and then predict other associated hazard information, including types, probabilities, and change trends, to assist with hazard identification and management. The function of the method is twofold. Firstly, associated hazard information can be predicted to help superintendents enhance the pertinence of identification, and then the problem of incomplete hazard identification can be solved. Secondly, with the help of the data visualization technique, superintendents can intuitively understand the potential relationship between hazards and obtain more valuable information to identify and control hazards early, thus improving efficiency. Case studies of standardized management of Chinese enterprise workplaces are presented. The case studies show that up to 47.37% of the hazards can be predicted, and the efficiency is increased by an average of 31.53%.
Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. I: Background, Framework, and Initial Development. Journal of Construction Engineering and Management, 144(08).
Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. II: Consensus Building and Use Cases. Journal of Construction Engineering and Management, 144(08).
Zuluaga, C M, Albert, A and Arroyo, P (2018) Protecting Bridge Maintenance Workers from Falls: Evaluation and Selection of Compatible Fall Protection Supplementary Devices. Journal of Construction Engineering and Management, 144(08).