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Atkinson, A R and Westall, R (2010) The relationship between integrated design and construction and safety on construction projects. Construction Management and Economics, 28(09), 17.

Balatbat, M C A, Lin, C-y and Carmichael, D G (2010) Comparative performance of publicly listed construction companies: Australian evidence. Construction Management and Economics, 28(09), 32.

Bowen, P, Cattell, K, Edwards, P J and Marks, J (2010) Perceptions of HIV/AIDS policies and treatment programmes by Western Cape construction firms. Construction Management and Economics, 28(09), 1006.

Chiang, Y-H and Cheng, E W L (2010) Construction loans and industry development: the case of Hong Kong. Construction Management and Economics, 28(09), 69.

Eriksson, P E (2010) Partnering: what is it, when should it be used, and how should it be implemented?. Construction Management and Economics, 28(09), 17.

Huang, Y-l and Lin, W (2010) Does debt structure matter? Estimating contractor default barrier by the down-and-out call option approach. Construction Management and Economics, 28(09), 58.

Jones, T, Shan, Y and Goodrum, P M (2010) An investigation of corporate approaches to sustainability in the US engineering and construction industry. Construction Management and Economics, 28(09), 83.

Lehtonen, J L and Kiiras, J M (2010) Cost modelling in underpinning projects. Construction Management and Economics, 28(09), 95.

  • Type: Journal Article
  • Keywords: cost modelling; refurbishment; underpinning
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2010.487537
  • Abstract:
    Large refurbishment projects are characterized by highly varied costs from one project to another. In Finnish underpinning, only retrospective analysis of costs has been available for the owner’s decision process. In order to develop tools for pre-tender cost estimating and for comparison of different design solutions and evaluation of tenders of the underpinning project, two different cost models have been developed for research. In both models developed, the minimum data required is the pile length. In the more detailed model, the assessment is based on the design solution, including known pile types and the load transfer classification. Both models are easy to use, and the percentage of explained variance is fairly good in the more detailed model.

Li, Y and Liu, C (2010) Malmquist indices of total factor productivity changes in the Australian construction industry. Construction Management and Economics, 28(09), 45.