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Arabi, S, Eshtehardian, E and Shafiei, I (2022) Using Bayesian Networks for Selecting Risk-Response Strategies in Construction Projects. Journal of Construction Engineering and Management, 148(08).

Chang, T, Chi, S and Im, S (2022) Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data. Journal of Construction Engineering and Management, 148(08).

Dias Barkokebas, R, Al-Hussein, M and Li, X (2022) VR–MOCAP-Enabled Ergonomic Risk Assessment of Workstation Prototypes in Offsite Construction. Journal of Construction Engineering and Management, 148(08).

Ezzeddine, A, Shehab, L, Lucko, G and Hamzeh, F (2022) Forecasting Construction Project Performance with Momentum Using Singularity Functions in LPS. Journal of Construction Engineering and Management, 148(08).

Feng, K, Wang, S, Lu, W, Liu, C and Wang, Y (2022) Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. Journal of Construction Engineering and Management, 148(08).

Gomes Araújo, L and Lucko, G (2022) Best Practices for Case Studies in Construction Engineering and Management Research. Journal of Construction Engineering and Management, 148(08).

Heaton, R, Martin, H, Chadee, A, Milling, A, Dunne, S and Borthwick, F (2022) The Construction Materials Conundrum: Practical Solutions to Address Integrated Supply Chain Complexities. Journal of Construction Engineering and Management, 148(08).

Islam, M S, Mohandes, S R, Mahdiyar, A, Fallahpour, A and Olanipekun, A O (2022) A Coupled Genetic Programming Monte Carlo Simulation–Based Model for Cost Overrun Prediction of Thermal Power Plant Projects. Journal of Construction Engineering and Management, 148(08).

Koo, H J and O’Connor, J T (2022) A Strategy for Building Design Quality Improvement through BIM Capability Analysis. Journal of Construction Engineering and Management, 148(08).

Le, C, Jeong, H D, Damnjanovic, I and Bukkapatnam, S (2022) Pareto Principle in Scoping-Phase Cost Estimating: A Multiobjective Optimization Approach for Selecting and Applying Optimal Major Work Items. Journal of Construction Engineering and Management, 148(08).

Lee, C, Chong, H, Tanko, B L and Klufallah, M (2022) Effect between Trust in Communication Technology and Interorganizational Trust in BIM-Enabled Projects. Journal of Construction Engineering and Management, 148(08).

Lee, G H, Kim, J I, Koo, C and Kim, T W (2022) Automated Generation of Precast Concrete Slab Stacks for Transportation in Offsite Construction Projects. Journal of Construction Engineering and Management, 148(08).

Liu, Y, Yao, F, Ji, Y, Tong, W, Liu, G, Li, H X and Hu, X (2022) Quality Control for Offsite Construction: Review and Future Directions. Journal of Construction Engineering and Management, 148(08).

Mmereki, D and Brouwer, D (2022) Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review. Journal of Construction Engineering and Management, 148(08).

Simmons, D R, Polmear, M, Bae, H and McCall, C (2022) Applying a New Lens: Using Photo Elicitation in Construction Engineering Management Research. Journal of Construction Engineering and Management, 148(08).

Son, J, O’Brien, W J and Thomas, S R (2022) Recommended Practices for Effective Management of Academia–Industry Collaborative Research Teams in Construction Management. Journal of Construction Engineering and Management, 148(08).

Wang, Y, Thangasamy, V K, Tiong, R L K and Zhang, L (2022) Improved Workflow for Precast Element Design Based on BIM and Lean Construction. Journal of Construction Engineering and Management, 148(08).

Xia, P, Xu, F, Zhou, T and Du, J (2022) Benchmarking Human versus Robot Performance in Emergency Structural Inspection. Journal of Construction Engineering and Management, 148(08).

Zarghami, S A (2022) Prioritizing Construction Activities: Addressing the Flaws of Schedule-Based Indexes. Journal of Construction Engineering and Management, 148(08).

  • Type: Journal Article
  • Keywords: Activity importance index; Construction projects; Eigenvector centrality; Project network; Topological analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002328
  • Abstract:
    Research on prioritizing construction activities that are critical to the timely completion of projects rests on a range of indexes that attempt to identify the critical path and capture uncertainty in the duration of project activities. However, these indexes have been shown to have major flaws. These flaws can be classified broadly into two categories: (1) incomplete representation of an activity’s importance; and (2) problems in the mathematical representation of an activity’s importance. This paper developed a new index that addresses the shortcomings of the available schedule-based indexes. The proposed index was applied to a real-life construction project to evaluate the significance of its activities. The results confirmed the substantive influence of the structural organization of the project network on the relative importance of project activities. The key contribution of this research is to offer a richer approach to measuring the importance of construction activities by paying simultaneous attention to uncertainty in completion time, the total float, and the topological characteristics of project activities.