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Ballesteros-Pérez, P, Sanz-Ablanedo, E, Soetanto, R, González-Cruz, M C, Larsen, G D and Cerezo-Narváez, A (2020) Duration and Cost Variability of Construction Activities: An Empirical Study. Journal of Construction Engineering and Management, 146(01).

  • Type: Journal Article
  • Keywords: Scheduling; Activity variability; Merge event bias; Network topology; Project delays;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001739
  • Abstract:
    The unique nature of construction projects can mean that construction activities often suffer from duration and cost variability. Because this variability is unplanned, it can present a problem when attempting to complete a project on time and on budget. Various factors causing this variability have been identified in the literature, but they predominantly refer to the nature and/or context of the whole project rather than specific activities. In this paper, the order of magnitude of and correlation between activity duration and cost variability is analyzed in 101 construction projects with over 5,000 activities. To do this, the first four moments (mean, standard deviation, skewness, and kurtosis) of actual versus planned duration and cost (log) ratios are analyzed by project, phase of execution, and activity type. Results suggest that, contrary to common wisdom, construction activities do not end late on average. Instead, the large variability in the activity duration is the major factor causing significant project delays and cost overruns. The values of average activity duration and cost variability gathered in this study will also serve as a reference for construction managers to improve future construction planning and project simulation studies with more realistic data.

Davila Delgado, J M, Oyedele, L, Bilal, M, Ajayi, A, Akanbi, L and Akinade, O (2020) Big Data Analytics System for Costing Power Transmission Projects. Journal of Construction Engineering and Management, 146(01).

Deng, H, Hong, H, Luo, D, Deng, Y and Su, C (2020) Automatic Indoor Construction Process Monitoring for Tiles Based on BIM and Computer Vision. Journal of Construction Engineering and Management, 146(01).

El-adaway, I H, Ali, G G, Abotaleb, I S and Barber, H M (2020) Studying the Relationship between Stock Prices of Publicly Traded US Construction Companies and Gross Domestic Product: Preliminary Step toward Construction–Economy Nexus. Journal of Construction Engineering and Management, 146(01).

Elmousalami, H H (2020) Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review. Journal of Construction Engineering and Management, 146(01).

Gondia, A, Siam, A, El-Dakhakhni, W and Nassar, A H (2020) Machine Learning Algorithms for Construction Projects Delay Risk Prediction. Journal of Construction Engineering and Management, 146(01).

Halabya, A and El-Rayes, K (2020) Optimizing the Planning of Pedestrian Facilities Upgrade Projects to Maximize Accessibility for People with Disabilities. Journal of Construction Engineering and Management, 146(01).

He, C, McCabe, B, Jia, G and Sun, J (2020) Effects of Safety Climate and Safety Behavior on Safety Outcomes between Supervisors and Construction Workers. Journal of Construction Engineering and Management, 146(01).

Li, Y, Cao, L, Han, Y and Wei, J (2020) Development of a Conceptual Benchmarking Framework for Healthcare Facilities Management: Case Study of Shanghai Municipal Hospitals. Journal of Construction Engineering and Management, 146(01).

Maqsoom, A, Wazir, S J, Choudhry, R M, Thaheem, M J and Zahoor, H (2020) Influence of Perceived Fairness on Contractors’ Potential to Dispute: Moderating Effect of Engineering Ethics. Journal of Construction Engineering and Management, 146(01).

Newaz, M T, Davis, P, Jefferies, M and Pillay, M (2020) Examining the Psychological Contract as Mediator between the Safety Behavior of Supervisors and Workers on Construction Sites. Journal of Construction Engineering and Management, 146(01).

Pereira, E, Ali, M, Wu, L and Abourizk, S (2020) Distributed Simulation–Based Analytics Approach for Enhancing Safety Management Systems in Industrial Construction. Journal of Construction Engineering and Management, 146(01).

Signor, R, Love, P E D, Belarmino, A T N and Alfred Olatunji, O (2020) Detection of Collusive Tenders in Infrastructure Projects: Learning from Operation Car Wash. Journal of Construction Engineering and Management, 146(01).

Tawalare, A, Laishram, B and Thottathil, F (2020) Relational Partnership in Public Construction Organizations: Front-Line Employee Perspective. Journal of Construction Engineering and Management, 146(01).

Yuan, H and Yang, Y (2020) BIM Adoption under Government Subsidy: Technology Diffusion Perspective. Journal of Construction Engineering and Management, 146(01).