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Alani, A M, Petersen, A K, Chapman, K G and Khosrowshahi, F (2004) A proposed quantitative model for building repair and maintenance -theory, model development and application. Journal of Construction Research, 5(02), 193–210.

Blyth, K, Lewis, J and Kaka, A (2004) Predicting project and activity duration for buildings in the UK. Journal of Construction Research, 5(02), 329–47.

  • Type: Journal Article
  • Keywords: Construction duration; forecasting; multiple regression; planning; programme of work
  • ISBN/ISSN: 1609 9451
  • URL: http://www.worldscinet.com/jcr/05/0502/S1609945104000097.html
  • Abstract:
    This paper reports on the development of a computer model that will predict both overall project and activity duration, based on a number of pre-determined project characteristics. Fifty-six programmes of work were obtained. The data from the programmes of work of fifty of these buildings, encompassing a total of 11 different project types, were analysed, and used to develop the proposed model. Multiple linear regression analysis of the data showed that the duration and time lags of between 20 (for a single storey building) and 39 (for a seven-storey building) standardised activity groups, can be predicted using combinations of the twenty one most influential project variables. The regression equations produced were tested on all of the activity groups for six new projects to determine their accuracy. The absolute percentage error in predicting overall duration varied between 0.38% and 6.68%. The mean absolute error in predicting the duration of activity groups varied between 1.38% and 22%. The accuracy in predicting overall duration was comparable with limited information available from previous studies, but the high level of detail in the programme generated means that the model is more flexible and capable of a broader range of applications than previous models.

Collins, A and Baccarini, D (2004) Project success -a survey. Journal of Construction Research, 5(02), 211–31.

Han, S H and Diekmann, J (2004) Judgment-based cross-impact method for predicting cost variance for highly uncertain projects. Journal of Construction Research, 5(02), 171–92.

Haupt, T C and Smallwood, J (2004) HIV and AIDS in SA construction: attitudes and perceptions of workers. Journal of Construction Research, 5(02), 311–27.

Moore, J E, Kuprenas, J, Lee, J-J, Gordon, P, Richardson, H and Pan, Q (2004) Cost analysis methodology for advanced treatment of stormwater: the Los Angeles case. Journal of Construction Research, 5(02), 149–70.

Ofori, G, Dulaimi, M F and Ling, F Y Y (2004) Improving performance of construction industry in Singapore: motivators, enablers and lessons for developing countries. Journal of Construction Research, 5(02), 267–89.

Sebastian, R (2004) Critical appraisal of design management in architecture. Journal of Construction Research, 5(02), 255–66.

Soetanto, R and Proverbs, D G (2004) Intelligent models for predicting levels of client satisfaction. Journal of Construction Research, 5(02), 233–53.

Wood, B and Kenley, R (2004) The effectiveness of the bills of quantities in Australia. Journal of Construction Research, 5(02), 291–309.