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Adami, V S, Verschoore, J R and Antunes Junior, J A V (2019) Effect of Relational Characteristics on Management of Wind Farm Interorganizational Construction Projects. Journal of Construction Engineering and Management, 145(03).

Alruqi, W M and Hallowell, M R (2019) Critical Success Factors for Construction Safety: Review and Meta-Analysis of Safety Leading Indicators. Journal of Construction Engineering and Management, 145(03).

Chegu Badrinath, A and Hsieh, S (2019) Empirical Approach to Identify Operational Critical Success Factors for BIM Projects. Journal of Construction Engineering and Management, 145(03).

Kim, T and Chi, S (2019) Accident Case Retrieval and Analyses: Using Natural Language Processing in the Construction Industry. Journal of Construction Engineering and Management, 145(03).

Laurent, J and Leicht, R M (2019) Practices for Designing Cross-Functional Teams for Integrated Project Delivery. Journal of Construction Engineering and Management, 145(03).

Lindhard, S M, Hamzeh, F, Gonzalez, V A, Wandahl, S and Ussing, L F (2019) Impact of Activity Sequencing on Reducing Variability. Journal of Construction Engineering and Management, 145(03).

Monzer, N, Fayek, A R, Lourenzutti, R and Siraj, N B (2019) Aggregation-Based Framework for Construction Risk Assessment with Heterogeneous Groups of Experts. Journal of Construction Engineering and Management, 145(03).

  • Type: Journal Article
  • Keywords: Construction; Risk management; Fuzzy sets; Decision making; Heterogeneity;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001614
  • Abstract:
    Construction companies continuously seek to improve risk analysis techniques to determine the contingency of projects. Construction risk assessment relies on a group decision-making (GDM) process, in which a heterogeneous group of experts provides their opinions to determine the probabilities and impacts of project risks. In this paper, risk probabilities and impacts are expressed as linguistic terms, which are then represented by fuzzy sets to account for the uncertainty in these assessments. Current GDM processes help experts to obtain collective agreement through the use of a consensus-reaching process, which has several limitations, such as being a time-consuming procedure. The main contributions of this paper are to introduce a list of criteria and a set of metrics to evaluate risk-assessment expertise. Additionally, this paper discusses the development of a method for weighting the importance of experts’ opinions according to their expertise levels. This research will also serve to improve GDM processes in construction risk assessment by introducing a structured framework that combines assessments from a heterogeneous group of experts through aggregation.

Nguyen, L H (2019) Relationships between Critical Factors Related to Team Behaviors and Client Satisfaction in Construction Project Organizations. Journal of Construction Engineering and Management, 145(03).

Su, Z, Wei, H, Zou, X and Qi, J (2019) Zero-One Formulation for a Partial Resource-Constrained Project Scheduling Problem with Generalized Precedence Relations. Journal of Construction Engineering and Management, 145(03).

Wang, Q, Guo, Z, Mintah, K, Li, Q, Mei, T and Li, P (2019) Cell-Based Transport Path Obstruction Detection Approach for 4D BIM Construction Planning. Journal of Construction Engineering and Management, 145(03).

Zhang, H, Yan, X, Li, H, Jin, R and Fu, H (2019) Real-Time Alarming, Monitoring, and Locating for Non-Hard-Hat Use in Construction. Journal of Construction Engineering and Management, 145(03).