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Abediniangerabi, B, Shahandashti, S M, Ahmadi, N and Ashuri, B (2017) Empirical Investigation of Temporal Association between Architecture Billings Index and Construction Spending Using Time-Series Methods. Journal of Construction Engineering and Management, 143(10).

Barbachyn, S M, Devine, R D, Thrall, A P and Kurama, Y C (2017) Economic Evaluation of High-Strength Materials in Stocky Reinforced Concrete Shear Walls. Journal of Construction Engineering and Management, 143(10).

D’Onofrio, R M (2017) CPM Scheduling: A 60-Year History. Journal of Construction Engineering and Management, 143(10).

Gurmu, A T and Aibinu, A A (2017) Construction Equipment Management Practices for Improving Labor Productivity in Multistory Building Construction Projects. Journal of Construction Engineering and Management, 143(10).

Hanna, A S and Iskandar, K A (2017) Quantifying and Modeling the Cumulative Impact of Change Orders. Journal of Construction Engineering and Management, 143(10).

  • Type: Journal Article
  • Keywords: Quantitative methods; Statistical analysis; Multiple linear regression; Change orders; Productivity; Electrical construction industry; Mechanical construction industry;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001385
  • Abstract:
    The modern construction industry in the United States generated 5% of the country’s gross domestic product (GDP) in 2016. In an industry this large, it is inevitable that changes will detrimentally effect projects. Yet, existing studies on the impact of change orders suffer from insufficient sample size, lack of rigor in validation, or both. This study uses extensive data from 68 electrical and mechanical construction projects affected by changes to develop a rigorous statistical regression model that predicts the cumulative impact of changes. The input variables of the model developed in this paper include the percent of change orders initiated by the owner, productivity tracking, turnover, percent of time spent by the project manager on the project, and overmanning. This paper uses a process that differs from previous studies in that it supplements linear regression with multiple-variable selection criteria, statistical checks for multicollinearity, and a consideration of the existence of outlying or influential data points. In order to verify the continued applicability of the developed model, rigorous validation testing was performed using multiple cross-validation metrics. Finally, new project data have been collected and used to test the model to confirm its merit for continued use by industry practitioners and researchers.

Hasanzadeh, S, Esmaeili, B and Dodd, M D (2017) Impact of Construction Workers’ Hazard Identification Skills on Their Visual Attention. Journal of Construction Engineering and Management, 143(10).

Hyari, K H, Shatarat, N and Khalafallah, A (2017) Handling Risks of Quantity Variations in Unit-Price Contracts. Journal of Construction Engineering and Management, 143(10).

Kamardeen, I and Sunindijo, R Y (2017) Personal Characteristics Moderate Work Stress in Construction Professionals. Journal of Construction Engineering and Management, 143(10).

Mani, N, Kisi, K P, Rojas, E M and Foster, E T (2017) Estimating Construction Labor Productivity Frontier: Pilot Study. Journal of Construction Engineering and Management, 143(10).

Park, J, Cai, H, Dunston, P S and Ghasemkhani, H (2017) Database-Supported and Web-Based Visualization for Daily 4D BIM. Journal of Construction Engineering and Management, 143(10).

Sunindijo, R Y and Kamardeen, I (2017) Work Stress Is a Threat to Gender Diversity in the Construction Industry. Journal of Construction Engineering and Management, 143(10).

Tuchman, J L (2017) Why Journalism Matters. Journal of Construction Engineering and Management, 143(10).

Umer, W, Li, H, Szeto, G P Y and Wong, A Y L (2017) Low-Cost Ergonomic Intervention for Mitigating Physical and Subjective Discomfort during Manual Rebar Tying. Journal of Construction Engineering and Management, 143(10).

Zhang, Y, Minchin, R E and Agdas, D (2017) Forecasting Completed Cost of Highway Construction Projects Using LASSO Regularized Regression. Journal of Construction Engineering and Management, 143(10).