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Anson, M and Siu, M F (2020) Augmented Balance Point Diagrams for Matching Site and Concrete-Supply Resources. Journal of Construction Engineering and Management, 146(04).

Franco-Duran, D M and de la Garza, J M (2020) Performance of Resource-Constrained Scheduling Heuristics. Journal of Construction Engineering and Management, 146(04).

Idowu, O S and Lam, K C (2020) Conceptual Quantities Estimation Using Bootstrapped Support Vector Regression Models. Journal of Construction Engineering and Management, 146(04).

Javanmardi, A, Abbasian-Hosseini, S A, Liu, M and Hsiang, S M (2020) Improving Effectiveness of Constraints Removal in Construction Planning Meetings: Information-Theoretic Approach. Journal of Construction Engineering and Management, 146(04).

Joseph Garcia, A and Mollaoglu, S (2020) Individuals’ Capacities to Apply Transferred Knowledge in AEC Project Teams. Journal of Construction Engineering and Management, 146(04).

Karakhan, A A, Gambatese, J and Simmons, D R (2020) Development of Assessment Tool for Workforce Sustainability. Journal of Construction Engineering and Management, 146(04).

Lingard, H and Oswald, D (2020) Safety at the Front Line: Social Negotiation of Work and Safety at the Principal Contractor–Subcontractor Interface. Journal of Construction Engineering and Management, 146(04).

Liu, Q, Xu, N, Jiang, H, Wang, S, Wang, W and Wang, J (2020) Psychological Driving Mechanism of Safety Citizenship Behaviors of Construction Workers: Application of the Theory of Planned Behavior and Norm Activation Model. Journal of Construction Engineering and Management, 146(04).

Lowe, B D, Albers, J, Hayden, M, Lampl, M, Naber, S and Wurzelbacher, S (2020) Review of Construction Employer Case Studies of Safety and Health Equipment Interventions. Journal of Construction Engineering and Management, 146(04).

Lu, W, Guo, W and Zhu, Q (2020) Effect of Justice on Contractor’s Relational Behavior: Moderating Role of Owner’s Asset Specificity. Journal of Construction Engineering and Management, 146(04).

Nnaji, C, Gambatese, J, Karakhan, A and Osei-Kyei, R (2020) Development and Application of Safety Technology Adoption Decision-Making Tool. Journal of Construction Engineering and Management, 146(04).

Phang, T C H, Chen, C and Tiong, R L K (2020) New Model for Identifying Critical Success Factors Influencing BIM Adoption from Precast Concrete Manufacturers’ View. Journal of Construction Engineering and Management, 146(04).

Rezvani, A, Ashkanasy, N and Khosravi, P (2020) Key Attitudes: Unlocking the Relationships between Emotional Intelligence and Performance in Construction Projects. Journal of Construction Engineering and Management, 146(04).

Salas, R, Hallowell, M, Balaji, R and Bhandari, S (2020) Safety Risk Tolerance in the Construction Industry: Cross-Cultural Analysis. Journal of Construction Engineering and Management, 146(04).

Serugga, J, Kagioglou, M and Tzortzopoulos, P (2020) Value Generation in Front-End Design of Social Housing with QFD and Multiattribute Utility Theory. Journal of Construction Engineering and Management, 146(04).

Shang, L and Abdel Aziz, A M (2020) Stackelberg Game Theory-Based Optimization Model for Design of Payment Mechanism in Performance-Based PPPs. Journal of Construction Engineering and Management, 146(04).

Zhang, J, Xiang, P, Zhang, R, Chen, D and Ren, Y (2020) Mediating Effect of Risk Propensity between Personality Traits and Unsafe Behavioral Intention of Construction Workers. Journal of Construction Engineering and Management, 146(04).

Zhong, B, Li, H, Luo, H, Zhou, J, Fang, W and Xing, X (2020) Ontology-Based Semantic Modeling of Knowledge in Construction: Classification and Identification of Hazards Implied in Images. Journal of Construction Engineering and Management, 146(04).

  • Type: Journal Article
  • Keywords: Safety; Hazards identification; Ontology; Image retrieval; Image;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001767
  • Abstract:
    Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the information into a machine processable format for safety management is a challenging task. To address this problem, in this paper, combining the HowNet and specific taxonomies from the relevant construction specifications, a semantic modeling approach is developed for the proactive construction hazard identification from images. A semantic scoring system is then introduced for quantifying the similarities between images, via comparing their annotations with the construction hazard specification. Furthermore, an image processing framework is developed to semantically annotate site images and further automatically classify the images into the categories. In this way, the potential hazards implied in the images can be identified automatically. Examples are developed to demonstrate the feasibility of the approach. The outcomes of this study have offered an alternative method to enhance site safety management on site.