Abstracts – Browse Results
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Aziz, A M A (2007) A survey of the payment mechanisms for transportation DBFO projects in British Columbia. Construction Management and Economics, 25(05), 529–43.
Cameron, I and Duff, R (2007) A critical review of safety initiatives using goal setting and feedback. Construction Management and Economics, 25(05), 495–508.
Che Ibrahim, C K I, Costello, S B and Wilkinson, S (2018) Making sense of team integration practice through the “lived experience” of alliance project teams. Engineering, Construction and Architectural Management, 25(05), 598–622.
Cooper, I (1997) The UK's changing research base for construction: the impact of recent government policy. Building Research & Information, 25(05), 292–300.
Courtney, R (1997) Building Research Establishment: past, present and future. Building Research & Information, 25(05), 285–91.
Davidson, C H (1997) The Building Centres: CIB's information allies. Building Research & Information, 25(05), 313–7.
El-Sayegh, S (2018) Resource levelling optimization model considering float loss impact. Engineering, Construction and Architectural Management, 25(05), 639–53.
Gann, D M (1997) Should governments fund construction research?. Building Research & Information, 25(05), 257–67.
Harty, C, Goodier, C I, Soetanto, R, Austin, S, Dainty, A R J and Price, A D F (2007) The futures of construction: a critical review of construction future studies. Construction Management and Economics, 25(05), 477–93.
Kose, S (1997) Building Research Institute in Japan: past, present and future. Building Research & Information, 25(05), 268–71.
Krima, N A, Wood, G, Aouad, G F and Hatush, Z (2007) Assessing the performance of Libyan supervising engineers. Construction Management and Economics, 25(05), 509–18.
Lansley, P R (1997) The impact of BRE's commercialization on the research community. Building Research & Information, 25(05), 301–12.
Leppavuori, E K M (1997) Commercial building research: threat or opportunity for customer satisfaction?. Building Research & Information, 25(05), 272–8.
Ling, F Y Y, Ning, Y, Chang, Y H and Zhang, Z (2018) Human resource management practices to improve project managers’ job satisfaction. Engineering, Construction and Architectural Management, 25(05), 654–69.
Mason, J R (2007) The views and experiences of specialist contractors on partnering in the UK. Construction Management and Economics, 25(05), 519–27.
Prakash, A and Phadtare, M (2018) Service quality for architects: scale development and validation. Engineering, Construction and Architectural Management, 25(05), 670–86.
Seaden, G (1997) The future of national construction research organizations. Building Research & Information, 25(05), 250–6.
Skitmore, M and Cheung, F K T (2007) Explorations in specifying construction price forecast loss functions. Construction Management and Economics, 25(05), 449–65.
- Type: Journal Article
- Keywords: Loss functions; construction; price; forecasts; forecasting; specification; estimate errors
- ISBN/ISSN: 0144-6193
- URL: http://www.informaworld.com/openurl?genre=article&issn=0144-6193&volume=25&issue=5&spage=449
- Abstract:
Typical measures of goodness of construction price forecasts are the mean and standard deviation, coefficient of variation and root mean square of the deviations between forecasted and actual values. This can only be valid, however, if the pain, or loss, incurred as a result of such deviations is directly proportional to the square of their value. Two approaches are used to test this. The first of these analyses 10 sets of data collected from around the world, while the second explores the use of a postal questionnaire survey to elicit construction industry client disutilities. The results of the first analysis mitigate against any general view that projects tend to be overestimated but do clearly suggest asymmetric under/overestimates for the measures used. The second analysis results in an approximated loss function although in ordinal terms only. This also suggests that the functional form varies between building types, with Commercial and Residential being the most asymmetric and Schools and Industrial being less asymmetric. The work to date indicates that, for construction price forecasting, the loss functions involved are asymmetric, with the degree of asymmetry increasing according to the level of commercial financial viability at stake.
Tran, D H and Long, L D (2018) Project scheduling with time, cost and risk trade-off using adaptive multiple objective differential evolution. Engineering, Construction and Architectural Management, 25(05), 623–38.
Tsai, H, Wang, L and Lin, L (2007) A study on improving the ranking procedure for determining the most advantageous tender. Construction Management and Economics, 25(05), 545–54.
Watts, G (1997) The National Centre for Construction in the UK. Building Research & Information, 25(05), 279–84.
Widén, K and Hansson, B (2007) Diffusion characteristics of private sector financed innovation in Sweden. Construction Management and Economics, 25(05), 467–75.