Abstracts – Browse Results
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Bai, S, Li, M, Song, L and Kong, R (2021) Developing a Common Library of Prefabricated Structure Components through Graphic Media Mapping to Improve Design Efficiency. Journal of Construction Engineering and Management, 147(01).
Ernstsen, S N, Whyte, J, Thuesen, C and Maier, A (2021) How Innovation Champions Frame the Future: Three Visions for Digital Transformation of Construction. Journal of Construction Engineering and Management, 147(01).
Joubert, F, Steyn, E and Pretorius, L (2021) Using the HAZOP Method to Conduct a Risk Assessment on the Dismantling of Large Industrial Machines and Associated Structures: Case Study. Journal of Construction Engineering and Management, 147(01).
Kim, H and Ham, Y (2021) Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. Journal of Construction Engineering and Management, 147(01).
Korb, S and Sacks, R (2021) Agent-Based Simulation of General Contractor–Subcontractor Interactions in a Multiproject Environment. Journal of Construction Engineering and Management, 147(01).
Li, M, Baek, M and Ashuri, B (2021) Forecasting Ratio of Low Bid to Owner’s Estimate for Highway Construction. Journal of Construction Engineering and Management, 147(01).
Love, P E D, Matthews, J and Fang, W (2021) Envisioning Rework in Practice: Emergent Insights from a Longitudinal Study. Journal of Construction Engineering and Management, 147(01).
Ma, L, Guo, H and Fang, Y (2021) Analysis of Construction Workers’ Safety Behavior Based on Myers-Briggs Type Indicator Personality Test in a Bridge Construction Project. Journal of Construction Engineering and Management, 147(01).
Mohamad, M and Tran, D Q (2021) Risk-Based Prioritization Approach to Construction Inspections for Transportation Projects. Journal of Construction Engineering and Management, 147(01).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001962
- Abstract:
Throughout the execution of highway construction projects, inspections are essential for maintaining project quality and ensuring greater traffic safety. Transportation agencies, however, have decreased the frequency of inspections due to current shortages of staffing and funding resources; consequently increasing safety risks and functional failures and reducing performance life. This study proposes a risk-based inspection (RBI) framework for optimizing construction inspections based on criticality. A total of 108 core inspection activities were retrieved from quality assurance (QA) documents. Risk impact (RI) data were collected from experts and a probabilistic risk assessment model was developed. In addition, a fuzzy set (FS) and Bayesian belief network (BBN) were amalgamated into a fuzzy Bayesian belief network (FBBN) for modeling. The FS pertained to the linguistics of the collected data, which could not be represented precisely by probability distribution. The causal relationship among the model variables was converted into a quantitative probability distribution and inferred using the BBN. A case study from the Kansas Department of Transportation was conducted to verify and test the framework. Results of FBBN adoption indicated that the modular representation of uncertain knowledge increases the efficiency and functionality of QA inspection risk analysis. Moreover, the unification of FS and BN quantitatively measured the RI and modeled the relationship between risk factors and RI. The framework output showed that more than half of earthwork and bridge deck inspections are high RI, while hot-mix asphalt (HMA) and portland cement concrete pavement (PCCP) require the most high-RI inspections. This study contributes to the construction engineering and management body of knowledge by providing an RBI framework for optimizing construction inspection activities in highways. The findings of this study also provide guidelines for highway agencies to develop RBI strategies.
Moon, S, Lee, G, Chi, S and Oh, H (2021) Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing. Journal of Construction Engineering and Management, 147(01).
Shabani Ardakani, S and Nik-Bakht, M (2021) Functional Evaluation of Change Order and Invoice Management Processes under Different Procurement Strategies: Social Network Analysis Approach. Journal of Construction Engineering and Management, 147(01).
Tai, H, Chen, J, Cheng, J, Wei, H, Hsu, S and Liu, H (2021) Determining Worker Training Time for Precast Component Production in Construction: Empirical Study in Taiwan. Journal of Construction Engineering and Management, 147(01).
Tetik, M, Peltokorpi, A, Seppänen, O, Leväniemi, M and Holmström, J (2021) Kitting Logistics Solution for Improving On-Site Work Performance in Construction Projects. Journal of Construction Engineering and Management, 147(01).
Wu, H, Qian, Q K, Straub, A and Visscher, H (2021) Stakeholder Perceptions of Transaction Costs in Prefabricated Housing Projects in China. Journal of Construction Engineering and Management, 147(01).
Wu, J, Sadraddin, H L, Ren, R, Zhang, J and Shao, X (2021) Invariant Signatures of Architecture, Engineering, and Construction Objects to Support BIM Interoperability between Architectural Design and Structural Analysis. Journal of Construction Engineering and Management, 147(01).
Yu, X and Ergan, S (2021) Key Variables in Determining Energy Shaving Capacity of Buildings during Demand Response Events. Journal of Construction Engineering and Management, 147(01).
Yu, X, Mehmood, K, Paulsen, N, Ma, Z and Kwan, H K (2021) Why Safety Knowledge Cannot be Transferred Directly to Expected Safety Outcomes in Construction Workers: The Moderating Effect of Physiological Perceived Control and Mediating Effect of Safety Behavior. Journal of Construction Engineering and Management, 147(01).
Zhang, S, Li, J, Li, Y and Zhang, X (2021) Revenue Risk Allocation Mechanism in Public-Private Partnership Projects: Swing Option Approach. Journal of Construction Engineering and Management, 147(01).