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Bridge, A J and Tisdell, C (2006) The determinants of the vertical boundaries of the construction firm: response. Construction Management and Economics, 24(03), 23-36.

Chang, C-Y (2006) Comment - The determinants of the vertical boundaries of the construction firm: comment. Construction Management and Economics, 24(03), 229-32.

El-Diraby, T A and Gill, S M (2006) A taxonomy for construction terms in privatized-infrastructure finance: supporting semantic exchange of project risk information. Construction Management and Economics, 24(03), 271-85.

Leiringer, R (2006) Technological innovation in PPPs: incentives, opportunities and actions. Construction Management and Economics, 24(03), 301-8.

Ogunsemi, D R and Jagboro, G O (2006) Time-cost model for building projects in Nigeria. Construction Management and Economics, 24(03), 253-8.

Peansupap, V and Walker, D H T (2006) Innovation diffusion at the implementation stage of a construction project: a case study of information communication technology. Construction Management and Economics, 24(03), 321-32.

Phua, F T T (2006) Predicting construction firm performance: an empirical assessment of the differential impact between industry- and firm-specific factors. Construction Management and Economics, 24(03), 309-20.

Price, A D F and Chahal, K (2006) A strategic framework for change management. Construction Management and Economics, 24(03), 237-51.

Tam, V W Y, Tam, C M, Shen, L Y, Zeng, S X and Ho, C M (2006) Environmental performance assessment: perceptions of project managers on the relationship between operational and environmental performance indicators. Construction Management and Economics, 24(03), 287-99.

Yu, W-D (2006) PIREM: a new model for conceptual cost estimation. Construction Management and Economics, 24(03), 259–70.

  • Type: Journal Article
  • Keywords: Conceptual cost estimation; parametric estimation; project planning; nonlinear mapping
  • ISBN/ISSN: 0144-6193
  • URL: http://journalsonline.tandf.co.uk/link.asp?id=k3032t18113w2765
  • Abstract:
    A new conceptual construction cost estimating method, namely, Principal Item Ratios Estimating Method (PIREM), is presented. The proposed PIREM integrates several existing conceptual estimating methods (including parametric estimating, ratios estimating, and cost significant model) with advanced nonlinear mapping techniques, and adopts a scheme that separates unit prices with the quantities of a cost item. It allows estimators to estimate based on the prevailing unit prices in the marketplace, thus the fluctuation of prices can be reflected on a real-time basis. Two comprehensive case studies were conducted for verification of PIREM. The demonstration case studies show that PIREM is able to provide accurate and the most updated estimates when advanced mapping technologies are incorporated.