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Öz, Ö (2001) Sources of competitive advantage of Turkish construction companies in international markets. Construction Management and Economics, 19(02), 135-44.

Han, S S and Ofori, G (2001) Construction industry in China's regional economy, 1990-1998. Construction Management and Economics, 19(02), 189-205.

Lam, K C, Hu, T, Ng, S T, Skitmore, M R and Cheung, S O (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics, 19(02), 175-88.

Lingard, H and Holmes, N (2001) Understandings of occupational health and safety risk control in small business construction firms: barriers to implementing technological controls. Construction Management and Economics, 19(02), 217-26.

Ng, S T, Mak, M M Y, Skitmore, M R, Lam, K C and Varnam, M (2001) The predictive ability of Bromilow's time-cost model. Construction Management and Economics, 19(02), 165-73.

  • Type: Journal Article
  • Keywords: bromilow model; cost; duration; linear regression; productivity; speed; time; time-cost;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190150505090
  • Abstract:

    Bromilow’s log-log time-cost (BTC) model is tested and refitted with a new set of data for Australian construction projects completed between 1991 and 1998. It is shown that, as anticipated by earlier research, different parameter estimates are needed for different project types, with smaller industrial projects taking less time to complete than the smaller educational and residential projects. This results in the development of two separate models, one for industrial projects and one for non-industrial projects. No changes in parameter estimates are needed for projects with different client sectors, contractor selection methods and contractual arrangements. Alternatives to the log-log model failed to produce any improved fit. Finally, the results are compared with previous work to indicate the extent of changes in time-cost relationships in Australian construction projects over the last 40 years. This indicates a clear improvement in construction speed over the period. Furthermore, the ’public’ sector group in particular has exhibited a greater variation (up to 132%) over the years.

Ofori, G and Lean, C S (2001) Factors influencing development of construction enterprises in Singapore. Construction Management and Economics, 19(02), 145-54.

Raftery, J, Csete, J and Hui, S K-F (2001) Are risk attitudes robust? Qualitative evidence before and after a business cycle inflection. Construction Management and Economics, 19(02), 155-64.

Sözen, Z and Kayahan, O (2001) Correlates of the length of the relationship between main and specialist trade contractors in the construction industry. Construction Management and Economics, 19(02), 131-3.

Sawhney, A and Mund, A (2001) IntelliCranes: an integrated crane type and model selection system. Construction Management and Economics, 19(02), 227-37.

Tam, C M, Tong, T K L, Cheung, S O and Chan, A P C (2001) Genetic algorithm model in optimizing the use of labour. Construction Management and Economics, 19(02), 207-15.