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Aljassmi, H, Han, S and Davis, S (2014) Project Pathogens Network: New Approach to Analyzing Construction-Defects-Generation Mechanisms. Journal of Construction Engineering and Management, 140(01).
- Type: Journal Article
- Keywords: Defects; Errors; Pathogens; Internet; Construction management; Defect; Error; Risk; Pathogens; Social network analysis; Quantitative methods;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000774
- Abstract:
Construction defects can exert significant impacts on project performance. These defects are typically traced back to their initiating root causes, formulated as infectious decisions, practices, or circumstances. The root causes often act as pathogens that propagate to spread numerous other risky conditions, thereby making projects prone to defects. Accordingly, it is essential to quantify the pathogenic capacity held by each root cause to determine the scope of potential risk associated with its existence. Although several studies have striven to identify project pathogens, research on determining the most pathogenic causes to develop further defect management efforts is lacking. To address this deficiency, the aim of this study was to develop a methodology that captures the complex mechanisms of defect generation and quantifies their pathogenic capacities in accordance to their position within the network of sequential events leading to defects. Specifically, the study uses a social network analysis (SNA) approach as a platform to formulate the interrelationships of defect causes, and review SNA metrics to develop a formal mathematical expression of pathogenicity, forming a new project pathogens network (PPN) methodology. Application to four residential projects in Dubai confirmed that PPN has great potential for revealing the pathogenic capacities held by the infectious conditions resulting in construction defects. This paper contributes to knowledge in the area of construction engineering and management by proposing a methodology that is deliberated to providing both mathematical and visualization analyses needed to address the complex mechanisms of defect generation, which thus enables project practitioners and academics to better understand the vulnerability of a construction-project system to pathogenic conditions.
Casanovas, M d M, Armengou, J and Ramos, G (2014) Occupational Risk Index for Assessment of Risk in Construction Work by Activity. Journal of Construction Engineering and Management, 140(01).
Chang, C (2014) Principal-Agent Model of Risk Allocation in Construction Contracts and Its Critique. Journal of Construction Engineering and Management, 140(01).
Choi, S, Kim, D Y, Han, S H and Kwak, Y H (2014) Conceptual Cost-Prediction Model for Public Road Planning via Rough Set Theory and Case-Based Reasoning. Journal of Construction Engineering and Management, 140(01).
González, P, González, V, Molenaar, K and Orozco, F (2014) Analysis of Causes of Delay and Time Performance in Construction Projects. Journal of Construction Engineering and Management, 140(01).
Laryea, S and Lubbock, A (2014) Tender Pricing Environment of Subcontractors in the United Kingdom. Journal of Construction Engineering and Management, 140(01).
Ling, F Y Y, Ke, Y, Kumaraswamy, M M and Wang, S (2014) Key Relational Contracting Practices Affecting Performance of Public Construction Projects in China. Journal of Construction Engineering and Management, 140(01).
Narbaev, T and De Marco, A (2014) Combination of Growth Model and Earned Schedule to Forecast Project Cost at Completion. Journal of Construction Engineering and Management, 140(01).
Ning, Y and Ling, F Y Y (2014) Boosting Public Construction Project Outcomes through Relational Transactions. Journal of Construction Engineering and Management, 140(01).
Panas, A and Pantouvakis, J P (2014) Simulation-Based and Statistical Analysis of the Learning Effect in Floating Caisson Construction Operations. Journal of Construction Engineering and Management, 140(01).
Rosenfeld, Y (2014) Root-Cause Analysis of Construction-Cost Overruns. Journal of Construction Engineering and Management, 140(01).
Sun, C, Mackley, A and Edara, P (2014) Programmatic Examination of Missouri Incentive/Disincentive Contracts for Mitigating Work Zone Traffic Impacts. Journal of Construction Engineering and Management, 140(01).
Syal, M, Duah, D, Samuel, S, Mazor, M, Mo, Y and Cyr, T (2014) Information Framework for Intelligent Decision Support System for Home Energy Retrofits. Journal of Construction Engineering and Management, 140(01).
Yang, I, Lin, Y and Lee, H (2014) Use of Support Vector Regression to Improve Computational Efficiency of Stochastic Time-Cost Trade-Off. Journal of Construction Engineering and Management, 140(01).
Zhang, S, Du, C, Sa, W, Wang, C and Wang, G (2014) Bayesian-Based Hybrid Simulation Approach to Project Completion Forecasting for Underground Construction. Journal of Construction Engineering and Management, 140(01).