Abstracts – Browse Results
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Abdul-Aziz, A-R and Wong, S S (2010) Exploring the internationalization of Malaysian contractors: the international entrepreneurship dimension. Construction Management and Economics, 28(01), 61.
Chow, L K and Ng, S T (2010) Delineating the performance standards of engineering consultants at design stage. Construction Management and Economics, 28(01), 11.
Hallowell, M (2010) Cost-effectiveness of construction safety programme elements. Construction Management and Economics, 28(01), 34.
Hatmoko, J U D and Scott, S (2010) Simulating the impact of supply chain management practice on the performance of medium-sized building projects. Construction Management and Economics, 28(01), 49.
Jacobsson, M and Linderoth, H C J (2010) The influence of contextual elements, actors’ frames of reference, and technology on the adoption and use of ICT in construction projects: a Swedish case study. Construction Management and Economics, 28(01), 23.
Jensen, D A (2010) A longitudinal study of a Type I differing conditions claim: investigating the contractor’s failure to meet the reasonable prudent standard. Construction Management and Economics, 28(01), 74.
Liu, L and Napier, Z (2010) The accuracy of risk-based cost estimation for water infrastructure projects: preliminary evidence from Australian projects. Construction Management and Economics, 28(01), 100.
- Type: Journal Article
- Keywords: cost estimating; forecasting; accuracy; risk-based estimating; fixed contingency approach
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190903431525
- Abstract:
Infrastructure projects are still being plagued by cost overruns, delays and revenue shortfalls despite decades of practice and research. Risk-based estimating (RBE) is growing in popularity and has the potential to overcome the two main cost overrun factors—optimistic bias and strategic misrepresentation. Yet, little is known about the accuracy of RBE and its performance drivers. A comparison of water projects using RBE with a sample of construction projects using the conventional estimating approach shows that the projects estimated using RBE have better estimation accuracy than those estimated using more conventional approaches. In addition, the projects using RBE appear more likely to be under-budget while the ones using the conventional approach appear more likely to be over-budget. Further, through interviews and observations of the RBE process, three main performance drivers for the RBE method were identified to include outside view/collective experience, attention focusing and probabilistic, bottom-up modelling.
Zhang, H and Li, H (2010) Multi-objective particle swarm optimization for construction time-cost tradeoff problems. Construction Management and Economics, 28(01), 88.