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Agapiou, A, Clausen, L E, Flanagan, R, Norman, G and Notman, D (1998) The role of logistics in the materials flow control process: experiences from abroad. Construction Management and Economics, 16(02), 131-7.
Akintoye, A, Bowen, P A and Hardcastle, C (1998) Macro-economic leading indicators of construction contract prices. Construction Management and Economics, 16(02), 159-75.
Alkass, S, Mazerolle, M and Harris, F C (1998) Note - Rigour in research and peer-review: a reply. Construction Management and Economics, 16(02), 139-40.
Burchett, J F and Tummala, V M R (1998) An application of the risk management process (RMP) in capital investment decisions for an EHV transmission line construction project. Construction Management and Economics, 16(02), 235-44.
Liu, A M-M and Walker, A (1998) Evaluation of project outcomes. Construction Management and Economics, 16(02), 209-19.
Love, P E D, Skitmore, M R and Earl, G (1998) Selecting a suitable procurement method for a building project. Construction Management and Economics, 16(02), 221-33.
Ofori, G (1998) Sustainable construction: comment. Construction Management and Economics, 16(02), 141-5.
Shammas-Toma, M, Seymour, D E and Clark, L (1998) Obstacles to implementing total quality management in the UK construction industry. Construction Management and Economics, 16(02), 177-92.
Wang, C-H and Mei, Y-H (1998) Model for forecasting construction cost indices in Taiwan. Construction Management and Economics, 16(02), 147-57.
- Type: Journal Article
- Keywords: cost index; forecasting; modelling; Taiwa
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/014461998372457
- Abstract:
A new approach to the forecasting of construction cost indices in Taiwan is presented. Construction cost indices have always been used to assess the variations in construction labour and material costs. These indices have been traditionally based on historical statistical information in Taiwan. However, the indices fall short in forecasting the future cost trends in the construction industry. By investigating the characteristic data that make up the construction costindices, the major determining factors were identified as (1) ’the number of difference’, (2) the required periods of preceding construction cost indices, (3) the weight associated with each preceding construction cost index, (4) the mean value of the series of construction cost indices that have been converted into a stationary series, and (5) the estimation of the errors between the predicted values of construction cost indices and the observed values of construction cost indices. An analytical model has been established to forecast the present and future construction cost indices based on these factors, and its feasibility tested by using the observed data of the construction cost indices obtained from the Executive Yuan of the Republic of China. The results suggest that this model is reasonably adequate in forecasting the trend values of construction cost indices in Taiwan.
Winch, G, Usmani, A and Edkins, A (1998) Towards total project quality: a gap analysis approach. Construction Management and Economics, 16(02), 193-207.