• DocumentCode
    1090216
  • Title

    Human effects in early stage construction contract price forecasting

  • Author

    Skitmore, R.M. ; Stradling, S.G. ; Tuohy, A.P.

  • Author_Institution
    Dept. of Surveying, Salford Univ., UK
  • Volume
    41
  • Issue
    1
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    40
  • Abstract
    This paper describes a postal survey of UK quantity surveyors to relate human factors, such as experience and personality, to conceptual estimating expertise. Composite variables were derived by factor analysis and examined against estimates of average national prices for several types of building. It is shown that expertise is very much of a project specific nature and does not extend in a simplistic way to projects outside the defined domain and that estimators must exercise of great caution when undertaking work even slightly outside their regular activities. Different building types demand different emphasis and special attention is drawn to the complexity of the project, the degree of services content, and particular sub-market conditions. The easiest projects to estimate appear to be industrial (factories) and residential (houses) with offices being the hardest, probably due to the wider variety of design and quality options in the latter. Knowledge and care are identified as the most crucial attributes of good estimators
  • Keywords
    construction industry; contracts; costing; economics; human factors; personnel; project engineering; surveying; UK; building; care; conceptual estimating expertise; construction contracts; design; experience; factor analysis; human effects; human factors; knowledge; management; personality; personnel; postal survey; price forecasting; projects; quality; quantity surveyors; services; value estimation; Contracts; Costs; Human factors; Mean square error methods; Procurement; Production facilities;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.286323
  • Filename
    286323