A Comprehensive Analysis of Change Orders Based on Project Progress in Design-Build Highway Construction
Publication: Construction Research Congress 2024
ABSTRACT
Understanding the nature of change orders is crucial for optimal project performance. However, limited research exists on change orders in the design-build (DB) context and their impacts considering the timing of change order occurrence. This study aims to investigate change orders in the DB environment regarding their frequency, schedule impacts, cost impacts, and the primary reasons for their occurrence, considering project progress. A scaling technique, parametric statistical tests, and classification were conducted utilizing 275 change orders from 29 US highway projects. The main findings indicate that project progress significantly affects change order frequency, while no statistically significant mean differences were observed in schedule delays and cost overruns based on project progress. Furthermore, this study identified principal change order reasons, including high-frequency/high-risk or low-frequency/high-risk types, based on their frequency, cumulative, and average impacts. This research contributes to the knowledge of change order impacts on project performance in alternative project delivery.
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REFERENCES
Alleman, D., Antoine, A. L., Stanford, M. S., and Molenaar, K. R. (2020). “Project delivery methods’ change-order types and magnitudes experienced in highway construction.” J. Leg. Aff. Dispute. Resolut, Eng. Constr., 12(2), 04520006.
Al-Kofahi, Z. (2016). Dynamic Modeling Approach to Quantify Change Orders Impact on Labor Productivity.
Arditi, D., and Pattanakitchamroon, T. (2006). “Selecting a delay analysis method in resolving construction claims.” Int. J. Proj. Manage, 24(2), 145–155.
Coxe, S., West, S. G., and Aiken, L. S. (2009). “The analysis of count data: A gentle introduction to Poisson regression and its alternatives.” J. Pers. Assess., 91(2), 121–136.
Fahrmeir, L., Tutz, G., Hennevogl, W., and Salem, E. (1994). Multivariate statistical modelling based on generalized linear models (Vol. 425). New York: Springer-Verlag.
Fox, J. (2015). Applied regression analysis and generalized linear models. Sage Publications.
Ibbs, C. W., Wong, C. K., and Kwak, Y. H. (2001). “Project change management system.” J. Manage. Eng., 17(3), 159–165.
Ko, T., and Jeong, H. D. (2020). “Syntactic approach to extracting key elements of work modification cause in change-order documents”. In Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts. ASCE, Reston, VA, 134–142.
Okere, G. (2018). “Comparison of DB to DBB on highway projects in Washington State, USA.” J. Constr. Supply Chain Manag, 8, 73–86.
Park, J., and Kwak, Y. H. (2017). “Design-bid-build (DBB) vs. design-build (DB) in the US public transportation projects: The choice and consequences.” Int. J. Proj. Manage, 35(3), 280–295.
Serag, E., Oloufa, A., Malone, L., and Radwan, E. (2010). “Model for quantifying the impact of change orders on project cost for US roadwork construction.” J. Construct. Eng, M, 136(9), 1015–1027.
Shafaat, A., Marbouti, F., and Mahfouz, T. (2022). “Early warning system for highway construction projects using GA-SVM”. Int. J. Construct. Manage., 1–10.
Shrestha, P. P., and Maharjan, R. (2018). “Effects of change orders on cost growth, schedule growth, and construction intensity of large highway projects”. J. Leg. Aff. Dispute. Resolut, Eng. Constr., 10(3), 04518012.
Verma, J. P. (2012). Data analysis in management with SPSS software. Springer Science & Business Media.
Ziegel, E. R. (2002). An Introduction to Generalized Linear Models. Tayler & Francis.
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Published online: Mar 18, 2024
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