Forecasting of building construction cost variation using BCCI and it's application

건축공사비지수를 이용한 건설물가 변동분석 및 공사비 실적자료 활용방안 연구

  • 조훈희 (한국건설기술연구원 건설관리연구그룹) ;
  • 강경인 (고려대학교 건축공학과) ;
  • 김창덕 (광운대학교 건축공학과) ;
  • 조문영 (한국건설기술연구원 건설경영정보센터)
  • Published : 2002.11.01

Abstract

This research developed construction cost forecasting model using Building Construction Cost Index, time series analysis and Artificial Neural Networks. By this model, we could calculate the forecasted values of construction cost precisely and efficiently. And we also could find out that the standard deviation of forecasted values is 0.375 and it is a very exact result, so the standard deviation is just 0.33 percent of 112.28, the average of Building Construction Cost Index. And it show more exact forecasting result in comparison with Time Series Analysis.

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