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Baker, S, Ponniah, D and Smith, S (1999) Risk response techniques employed currently for major projects. Construction Management and Economics, 17(02), 205-13.

Baldwin, A N, Austin, S A, Hassan, T M and Thorpe, A (1999) Modelling information flow during the conceptual and schematic stages of building design. Construction Management and Economics, 17(02), 155-67.

Chan, A P C (1999) Modelling building durations in Hong Kong. Construction Management and Economics, 17(02), 189-96.

Goh, B-H (1999) An evaluation of the accuracy of the multiple regression approach in forecasting sectoral construction demand in Singapore. Construction Management and Economics, 17(02), 231-41.

Green, S D (1999) The missing arguments of lean construction. Construction Management and Economics, 17(02), 133--7.

Gyi, D E, Gibb, A G F and Haslam, R A (1999) The quality of accident and health data in the construction industry: interviews with senior managers. Construction Management and Economics, 17(02), 197-204.

Li, H and Love, P E D (1999) Combining rule-based expert systems and artificial neural networks for mark-up estimation. Construction Management and Economics, 17(02), 169-76.

Loosemore, M (1999) Bargaining tactics in construction disputes. Construction Management and Economics, 17(02), 177-88.

Proverbs, D G, Holt, G D and Olomolaiye, P O (1999) European construction contractors: a productivity appraisal of in situ concrete operations. Construction Management and Economics, 17(02), 221-30.

Ray, R S, Hornibrook, J, Skitmore, M R and Zarkada-Fraser, A (1999) Ethics in tendering: a survey of Australian opinion and practice. Construction Management and Economics, 17(02), 139-53.

Sozen, Z and Kucuk, M A (1999) Secondary subcontracting in the Turkish construction industry. Construction Management and Economics, 17(02), 215-20.

Tan, W (1999) Construction cost and building height. Construction Management and Economics, 17(02), 129-32.

  • Type: Journal Article
  • Keywords: building height; construction cost; productivity
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/014461999371628
  • Abstract:

    A simple neo-classical production function model is used to determine the incremental cost of each floor as building height increases. This analytic method provides an alternative to earlier studies using computer simulation and more cumbersome attempts at measuring the cost variation directly. By modelling construction costs analytically, it is possible to identify and assess the impacts of particular variables more explicitly. There are two main findings. First, cost variation with building height is not only affected by technology; building design, demand and institutional factors also play important roles. Secondly, the model may be used to estimate construction cost variation with building height from readily avail able data. In this sense it is an improvement over previous methods using simulated or direct cost measurement.