erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v6i3.6585ArticleAnalysis of Influencing Factors of Construction Cost Based on Building Information Modelhttps://artdesignp.com/journal/erd/6/3/10.26689/erd.v6i3.6585LiXiufang,JiaXiaorui,HuangMingqiang2024632024-03-29Construction cost is a complex and multi-level system, influenced by many factors. By combining the risk influence factor analysis method with actual cost management, a knowledge graph model of the influencing parameters of construction project cost based on the Building Information Model (BIM) is established. The model includes two types of internal influence factors and external influence factors, focusing on analyzing and establishing the logical relationship between different influencing factors. The aim is to fully explore the influencing factors of construction costs and their cross-influencing relations under different stages and execution subjects, thus helping to realize effective control over the influencing factors of construction costs.

Zhang H, Gu M, 2018, Research and Application of Intelligent BIM Model Checking Tools. Journal of Information Technology in Civil Engineering and Architecture, 10(2): 1–6.

Mu L, Wang J, Li J, et al, 2019, Research on Fire Intelligent Drawing Review based on BIM and Knowledge Graph. Fire Science and Technology, 2019, 38(12): 1765-1768.

Su W, Wang C, 2023, Research on Key Technologies of Highway Model and Cost Correlation Based on BIM. Highway, 68(2): 189–194.

Miao ZN, 2023, Research on Cost Control Method of Electric Power Engineering Based on BIM Technology. Enterprise Reform and Management, 2023(21): 135–137.

Ke Y, Li W, Hu HB, 2023, Application of BIM Technology in Cost Management of Water Transport Engineering Design Phase. Construction Economy, 44(S2): 332–335.

Xu J, 2010, Conceptual Framework and Representation of Geographic Knowledge Map. Journal of Geo-Information Science, 12(4): 496–502.

Zhou C, 2021, Geoscience Knowledge Graph in the Big Data Era. Scientia Sinica (Terrae), 51(7): 1070–1079.

Liang W, 2021, Application of Knowledge Map Technology in Joint Operation of Water Conservancy Projects in Beijiang River Basin. Heilongjiang Water Science and Technology, 49(12): 187–190.

Qian Q, Shen Y, Liu Z, 2023, Modeling and Evaluation of Cost Risk in the Whole Process of Power Transmission and Transformation Project Based on Grey Theory. Microcomputer Applications, 39(11): 111–113.

Zhou M, Zhao S, Zhu J, 2016, Cost Risk Evaluation of Power Transmission and Transformation Project Based on Support Vector Machine. Journal of Wuhan University of Technology (Information & Management Engineering): 38(2), 187–191.

Lin H, Hu N, He Q, et al, 2024, Construction of a Multi-Modal Knowledge Graph for Railway Equipment Operation and Maintenance Based on Building Information Model Data-Driven Approach. Journal of Tongji University (Natural Science): 52(2), 166–173.

Xie Y, Wang L, Dong C, et al, 2021, Research on the Construction Method of Earthquake Disaster Prevention Knowledge Graph. Science of Surveying and Mapping, 46(10): 219–226.

Liu Y, Wu LT, Liang X, et al., 2020, Research on the Application of Knowledge Graph in BIM Model Review. The Sixth National BIM Academic Conference, 2020: 122–126.

Su P, Huang J, 2023, The Application of BIM Technology in the Field of Engineering Cost Based on Knowledge Graph. Journal of Guangdong University of Technology, 40(2): 103–110 + 119.

Wu Q, Wang W, Hu C, 2023, A Visualization Analysis into the Full Life Cycle Researches of Buildings in China based on Knowledge Graph. Housing Science, 43(4): 50–55.