ARCOM

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Chan, M (2011) Fatigue: the most critical accident risk in oil and gas construction. Construction Management and Economics, 29(04), 341–53.

Elazouni, A and Salem, O A (2011) Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29(04), 355–70.

Guan, K, Feng, K and Zeng, S X (2001) Urban housing development reform and in China. Building Research & Information, 29(04), 286–92.

Hallowell, M, Esmaeili, B and Chinowsky, P (2011) Safety risk interactions among highway construction work tasks. Construction Management and Economics, 29(04), 417–29.

Hiete, M, Kühlen, A and Schultmann, F (2011) Analysing the interdependencies between the criteria of sustainable building rating systems. Construction Management and Economics, 29(04), 323–8.

Hongliang, Z, Xiangzhen, H and Ying, W (2001) China's construction regulatory systems. Building Research & Information, 29(04), 265–9.

Hu, K, Rahmandad, H, Smith‐Jackson, T and Winchester, W (2011) Factors influencing the risk of falls in the construction industry: a review of the evidence. Construction Management and Economics, 29(04), 397–416.

Issa, M H, Attalla, M, Rankin, J H and Christian, A J (2011) Energy consumption in conventional, energy‐retrofitted and green LEED Toronto schools. Construction Management and Economics, 29(04), 383–95.

Ling, F Y-Y and Boo, J H S (2001) Improving the accuracy estimates of building of approximate projects. Building Research & Information, 29(04), 311–8.

Type: Journal Article
Keywords: approximate estimating; cost planning; pre-bid forecasting; procurement; quantity surveyors; Singapore
ISBN/ISSN: 0961-3218
URL: http://journalsonline.tandf.co.uk/link.asp?id=jbgvue2pbxbepgrw
Abstract:
This paper investigates the level of estimating accuracy in Singapore between 1992 and 1998. It compares the actual estimating accuracy against practitioners' expectations, and past studies. Forty-two sets of project data were obtained from six Singapore based quantity surveying firms. The estimating accuracy was found to be 1.09. This level of accuracy is below the expectation of 41 quantity surveyors (QS) who were surveyed. There is therefore a need to increase estimating accuracy further. Results also showed that there is no significant difference in estimating accuracy between this study and a previous study by Gunner and Skitmore (1999a). The implication of this finding is that longitudinally, there is no improvement in estimating accuracy over time. Moreover, for future studies on estimating accuracy, researchers can rely on cost data sets that are relatively dated, and from one source. Thirteen possible methods to improve estimating accuracy were tested in the fieldwork. It was found that the more important methods relate to having good quality and sufficient quantity of design information to prepare estimates.

Luo, J, Gale, A and He, X (2001) Investing in the Chinese industry via joint ventures construction. Building Research & Information, 29(04), 277–85.

Rousseau, D and Chen, Y (2001) Sustainability options for China's residential building sector. Building Research & Information, 29(04), 293–301.

Schade, J, Olofsson, T and Schreyer, M (2011) Decision‐making in a model‐based design process. Construction Management and Economics, 29(04), 371–82.

Sha, K and Lin, S (2001) Reforming China's state-owned enterprises construction. Building Research & Information, 29(04), 270–6.

Shirong, L (2001) China's construction education in higher transition. Building Research & Information, 29(04), 302–11.