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Design and Implementation of Quantity Calculation Method Based on BIM Data

Author

Listed:
  • Binjin Chen

    (China Construction Eighth Engineering Division Corp, Shanghai 200122, China)

  • Shaohua Jiang

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Ligang Qi

    (China Construction Eighth Engineering Division Corp, Shanghai 200122, China)

  • Yawu Su

    (China Construction Eighth Engineering Division Corp, Shanghai 200122, China)

  • Yufeng Mao

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Meng Wang

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

  • Hee Sung Cha

    (Department of Architectural Engineering, Ajou University, Suwon 06499, Korea)

Abstract

Manual quantity takeoff using two-dimensional (2D) drawings and personal knowledge is error-prone and time-consuming. Theoretically, quantity can be automatically calculated from building information model more quickly and reliably by extracting geometric data and semantic attributes of building elements. Specific construction classification systems embedded in mainstream modeling software for building information modeling (BIM) make it difficult for countries adopting different systems to calculate quantity directly. This paper proposes a BIM-based quantity takeoff code mapping (BQTCM) method to solve the above issue, and develops a quantity takeoff code mapping plug-in (QTCMP) on a BIM modeling software based on the proposed BQTCM method to obtain an accurate bill of quantities directly and efficiently. Moreover, by conducting a statistical analysis and examining a case study, this paper verifies the accuracy and efficiency of quantity takeoff attained from the proposed BQTCM method and QTCMP.

Suggested Citation

  • Binjin Chen & Shaohua Jiang & Ligang Qi & Yawu Su & Yufeng Mao & Meng Wang & Hee Sung Cha, 2022. "Design and Implementation of Quantity Calculation Method Based on BIM Data," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7797-:d:848589
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    References listed on IDEAS

    as
    1. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
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    1. Giuseppe Piras & Francesco Muzi, 2024. "Energy Transition: Semi-Automatic BIM Tool Approach for Elevating Sustainability in the Maputo Natural History Museum," Energies, MDPI, vol. 17(4), pages 1-22, February.
    2. Ying Li & Yani Lai & Yanliu Lin, 2024. "The Role of Diversified Geo-Information Technologies in Urban Governance: A Literature Review," Land, MDPI, vol. 13(9), pages 1-27, September.

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