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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).

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).

  • Type: Journal Article
  • Keywords: Unit price; Measurement contracts; Contract changes; Price adjustment; Estimated quantities; Quantity overrun; Contracting;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001393
  • Abstract:
    Unit-price contracts are awarded based on estimated quantities while payment to the contractor is based on actual quantities of work. In many cases, estimated and actual quantities never perfectly match each other for several reasons. This divergence has direct impact on the contractor’s profitability and poses additional risks to owners and contractors alike. This paper presents a price adjustment model for quantity variations in measurement contracts. The model adjusts unit rates for items based on the deviation from estimated quantities in order to allow the contractor to recover his indirect costs when quantities of work underrun. At the same time, it does not allow the contractor to obtain a windfall when quantities overrun. This balances the interests of both the contractor and the owner. The model is expected (1) to reduce submitted bid prices as contractors will not need to increase their submitted prices to account for risks caused by quantity fluctuations; (2) to reduce the motive for unbalanced pricing of line items to take advantage of perceived errors in estimated quantities; (3) to reduce the disputes arising around the interpretations of changed quantity clauses in contracts; and (4) to reduce the need for renegotiating unit prices when variations exceed the allowable range in the contract.

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).