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BIM/GIS 기반 도로 개략공사비 산정 프로토타입 연구

Roadway Preliminary Cost Estimation Prototype based on BIM and GIS

  • 박원영 (한국건설기술연구원 건설정책시스템연구본부) ;
  • 강태경 (한국건설기술연구원 건설정책시스템연구본부) ;
  • 이유섭 (한국건설기술연구원 건설정책시스템연구본부)
  • 투고 : 2013.07.26
  • 심사 : 2013.09.27
  • 발행 : 2013.11.30

초록

완성된 도면과 시방서를 기초로 산출한 상세한 물량 정보를 토대로 상세 공사비를 예측하는 업무에 비해 도면과 시방서가 완성되기 이전 단계에서 시설제원이나 개략적인 설계 정보 등을 기초로 개략공사비를 예측하는 업무는 공사비 예측 업무 담당자의 주관적인 판단에 의존하는 경향이 크고 객관성이 낮은 실정이다. 본 연구에서는 도로건설공사 초기단계에서의 사업비 예측 모델을 연구하고 이를 토대로 건설공사 개략공사비 예측 시스템을 개발하였다. 이 시스템은 BIM 및 GIS를 이용하여 사업 초기단계 개략적인 노선선정에 따른 개략공사비 추정에 있어 사례기반추론을 기반으로 사업비 예측의 정확성 향상과 업무 선진화에 기여할 것으로 기대된다. 또한 사용자가 인터넷을 통해 편리하게 접근할 수 있고 객관적이면서 일관성 있는 개략공사비 예측 결과를 제공받을 수 있으므로 업무 투명성 측면의 효과도 기대할 수 있을 것이다.

While a detailed cost estimation utilizes the comprehensive quantity information obtained from a complete drawing and specification, an approximate cost estimation heavily relies on the subjective decisions. This phenomenon is because the approximate estimation is usually conducted in early stage of the construction phase where the drawing and specification are not available. This study developed a roadway construction cost estimation system which enables users to estimate the approximated cost of the project in early stage. The system identifies the variation of the construction costs due to the road route change using a cased based reasoning(CBR) method. Overall the system is expected to improves the accuracy and effectiveness of the estimation process, because it would provide users with increased accessability and consistent results in early stage of the project which leaded to the increased work transparency.

키워드

참고문헌

  1. Allian A. (1992). Cost Studies of Building, Pearson Prentice Hall
  2. Allan, A. and Keith, H. (2007). Willis's Practice and Procedure for the Quantity Surveyor, Blackwell Publishing
  3. Choi, I. S., etc. (1999). "A Study on the Prediction Model of Construction Cost in High-Rise Office Building of SRC Type", Journal of the Architectural Institute of Korea Structure & Construction, 15(7), pp. 143-150
  4. Construction Industry Institute (1986). Constructability - a Primer CII, University of Texas at Austin
  5. Douglas, J. F., Peter, S. B. and Jonathan, D. F. (1999). Cost Planning of Buildings, Blackwell Science
  6. Ferry D. J. (1991), Cost Planning of Buildings, Oxford
  7. Kang, T. K., etc. (2011). Development of Construction Cost Estimating System for Public Construction Projects in Korea, MLTM
  8. Kang, T. K., Park, W. and Lee, Y. S. (2011). "Development of CBR-based road construction project cost estimation system." ISARC 2001, IAARC and KICEM, Seoul, Republic of Korea
  9. KDI (2004). Standard Guidelines for Feasibility Study in Roadway and Railway 4th Edition, Korea Development Institute
  10. Kim, K. H. (2004). "Construction cost prediction system based on artificial intelligence at the project planning stage", PhD thesis, Korea Univ., Seoul, Republic of Korea
  11. Kim, K. H. and Kang, K. I. (2003). "A Study on Model of Neural Networks Training by Genetic Algorithms for Predicting Cost Estimates of Apartment Projects at the Early Project Stage", Journal of the Architectural Institute of Korea Structure & Construction, 19(10), pp. 133-142
  12. Kim, K. H. and Kang, K. I. (2004-a). "A Study on Predicting Cost Estimation of Apartment Building Using Neural Network's Architecture Optimized by Genetic Algorithms", Journal of the Architectural Institute of Korea Structure & Construction, 20(2), pp. 81-88
  13. Kim, K. H. and Kang, K. I. (2004-b). "A Study on Predicting Construction Cost of Apartment Housing Projects Based on Case Based Reasoning Technique at the Early Project Stage", journal of the architectural institute of korea structure&construction, 20(5), pp. 83-92
  14. Kim, S. K. and Ku, I, W. (2000). "A Neural Network Cost Model for Office Buildings", Journal of the Architectural Institute of Korea Structure & Construction, 16(9), pp.59-67
  15. Kim, S. K., etc. (2000). "A Statistical Cost Model for Road Construction Project at the Planning Stage", Journal of the Korean Society of Civil Engineers, 20(2-D)
  16. Lee, Y. S. (2003). "Development of Construction Cost Model through the Analysis of Critical Work Items", Korean Journal of Construction Engineering and Management, 4(4), pp. 212-219
  17. Lee, Y. S., etc. (2012). Development of Construction Project Management Technology based on BIM/GIS Platform, KICT
  18. Lee, H. S., etc. (2012). "Conceptual Cost Estimating System Development for Public Apartment Projects", Korean journal of Construction Engineering and Management, 13(4), pp. 152-163 https://doi.org/10.6106/KJCEM.2012.13.4.152
  19. MLTM (2008). Best Practices for the National Roadway Construction, Ministry of Land, Transport & Maritime Affairs of Korean government
  20. MLTM (2011). Road Services Manual 2011, Ministry of Land, Transport & Maritime Affairs of Korean government
  21. Park, W. Y., Cha, J. H. and Kang, K, I. (2002). "A Neural Network Cost Model for Apartment Housing Projects in the Initial Stage", Journal of the Architectural Institute of Korea Structure & Construction, 18(7), pp. 155-162
  22. Rodney D. S., Richard M. J. (1995). Cost Estimator's Reference Manual, John Wiley&Sons

피인용 문헌

  1. Derivation of BIM/GIS Platform Application Scenarios and Definition of Specific Functions in Construction Planning and Design vol.15, pp.12, 2014, https://doi.org/10.5762/KAIS.2014.15.12.7340