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Abdel Aziz, A M (2021) The Practice of Roadway Safety Management in Public–Private Partnerships. Journal of Construction Engineering and Management, 147(12).

Amoah, A, Berbegal-Mirabent, J and Marimon, F (2021) Making the Management of a Project Successful: Case of Construction Projects in Developing Countries. Journal of Construction Engineering and Management, 147(12).

Erfani, A, Cui, Q and Cavanaugh, I (2021) An Empirical Analysis of Risk Similarity among Major Transportation Projects Using Natural Language Processing. Journal of Construction Engineering and Management, 147(12).

Kong, F, Guo, J and Lv, X (2021) Project Resource Input Optimization Problem with Combined Time Constraints Based on Node Network Diagram and Constraint Programming. Journal of Construction Engineering and Management, 147(12).

Löwstedt, M, Fasth, J and Styhre, A (2021) Leadership under Construction: A Qualitative Exploration of Leadership Processes in Construction Companies in Sweden. Journal of Construction Engineering and Management, 147(12).

Li, Y, Pan, X, Han, Y and Taylor, J E (2021) Sustainable Healthcare Facilities: A Scoping Review. Journal of Construction Engineering and Management, 147(12).

Liu, Y, Wang, X and Wang, D (2021) How Leaders and Coworkers Affect Construction Workers’ Safety Behavior: An Integrative Perspective. Journal of Construction Engineering and Management, 147(12).

Munaro, M R, Freitas, M d C D, Tavares, S F and Bragança, L (2021) Circular Business Models: Current State and Framework to Achieve Sustainable Buildings. Journal of Construction Engineering and Management, 147(12).

Namian, M, Taherpour, F, Ghiasvand, E and Turkan, Y (2021) Insidious Safety Threat of Fatigue: Investigating Construction Workers’ Risk of Accident Due to Fatigue. Journal of Construction Engineering and Management, 147(12).

Pellegrino, R (2021) Effects of Public Supports for Mitigating Revenue Risk in Public–Private Partnership Projects: Model to Choose Among Support Alternatives. Journal of Construction Engineering and Management, 147(12).

Piao, Y, Xu, W, Wang, T and Chen, J (2021) Dynamic Fall Risk Assessment Framework for Construction Workers Based on Dynamic Bayesian Network and Computer Vision. Journal of Construction Engineering and Management, 147(12).

Qiao, S, Wang, Q, Guo, Z and Guo, J (2021) Collaborative Innovation Activities and BIM Application on Innovation Capability in Construction Supply Chain: Mediating Role of Explicit and Tacit Knowledge Sharing. Journal of Construction Engineering and Management, 147(12).

Sonkor, M S and García de Soto, B (2021) Operational Technology on Construction Sites: A Review from the Cybersecurity Perspective. Journal of Construction Engineering and Management, 147(12).

Turksezer, Z I, Iacovino, C, Giordano, P F and Limongelli, M P (2021) Development and Implementation of Indicators to Assess Bridge Inspection Practices. Journal of Construction Engineering and Management, 147(12).

Yan, Z, Liang, J, Bai, Y, Cao, L and Zhao, G (2021) Response of Asphalt Pavement Structure Layer and Particle Movement Velocity Based on Particle Flow Theory. Journal of Construction Engineering and Management, 147(12).

Zhang, W, Xue, N, Zhang, J and Zhang, X (2021) Identification of Critical Causal Factors and Paths of Tower-Crane Accidents in China through System Thinking and Complex Networks. Journal of Construction Engineering and Management, 147(12).

  • Type: Journal Article
  • Keywords: Construction; Tower crane; Accident cause; System thinking; Complex network;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002186
  • Abstract:
    Tower-crane accidents occur frequently with serious consequences, including deaths, serious injuries, and economic losses. To identify the critical causes and paths of tower-crane accidents, the network analysis method is utilized. First, according to the relevant laws, regulations, and standards regarding tower-crane safety, a system of tower-crane accident causes is decomposed into 6 subsystems and 34 causal factors through system thinking. Then a sample of 194 tower-crane accident reports is used as empirical data. Accident causes are considered the nodes, and correlations among the causes are considered edges, through which a network model of tower-crane accident causes is established. The statistical indicators of the network model, such as the degree, strength, and shortest path, are calculated, after which seven critical factors and three critical paths of tower-crane accident causation are identified. Finally, a major tower-crane collapse accident in the city of Yueyang is adopted to conduct a case study and verify the practicality of the established systematic model and the reasonability of the analysis results.

Zhang, X, Otto, F and Oeser, M (2021) Modeling Pavement Surface Deflections under Accelerated Pavement Testing Using the PCA Method. Journal of Construction Engineering and Management, 147(12).