Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages
Building Information Modeling (BIM) has catalyzed transformative shifts across various industries, which has sparked broader research interests in the BIM lifecycle. However, studies that specify the stated requirements for different technologies and methodologies from the perspective of the BIM lif...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/11/2688 |
| _version_ | 1797459928649039872 |
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| author | Xi Kuai Yu Liu Mingyan Bi Qinyao Luo |
| author_facet | Xi Kuai Yu Liu Mingyan Bi Qinyao Luo |
| author_sort | Xi Kuai |
| collection | DOAJ |
| description | Building Information Modeling (BIM) has catalyzed transformative shifts across various industries, which has sparked broader research interests in the BIM lifecycle. However, studies that specify the stated requirements for different technologies and methodologies from the perspective of the BIM lifecycle and analyze research hotspots and future research trends at each stage are scarce. Employing scientometric theories and methods, this study conducts an in-depth comparative analysis of BIM lifecycle stages. The analysis encompasses several aspects like annual research output and knowledge flows, in the aim of unveiling disparities in the technological requirements, defining research boundaries, and illuminating lifecycle research trends. Findings indicate an ongoing surge in research across all BIM lifecycle stages with technologies like digital twins and artificial intelligence becoming prevailing trends. The cooperative design of BIM components, virtual-real world coordination, interactions among buildings, individuals, and environments, as well as the in-depth integration of BIM with the multifaceted fields of urban management have emerged as focal points in the planning, construction, management, and maintenance of BIM, respectively. Future BIM lifecycle research will necessitate interdisciplinary collaboration, emphasizing technological integration, common data environment (CDE) information sharing, open-source BIM/historic building information modeling (HBIM) system, and impactful exploration in areas like urban construction and historical preservation. |
| first_indexed | 2024-03-09T16:57:56Z |
| format | Article |
| id | doaj.art-b31941e50922487d831474f396ba7e99 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T16:57:56Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-b31941e50922487d831474f396ba7e992023-11-24T14:32:59ZengMDPI AGBuildings2075-53092023-10-011311268810.3390/buildings13112688Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle StagesXi Kuai0Yu Liu1Mingyan Bi2Qinyao Luo3Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, ChinaKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSFMAP Technology (Shenzhen) Ltd., Shenzhen 518000, ChinaKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaBuilding Information Modeling (BIM) has catalyzed transformative shifts across various industries, which has sparked broader research interests in the BIM lifecycle. However, studies that specify the stated requirements for different technologies and methodologies from the perspective of the BIM lifecycle and analyze research hotspots and future research trends at each stage are scarce. Employing scientometric theories and methods, this study conducts an in-depth comparative analysis of BIM lifecycle stages. The analysis encompasses several aspects like annual research output and knowledge flows, in the aim of unveiling disparities in the technological requirements, defining research boundaries, and illuminating lifecycle research trends. Findings indicate an ongoing surge in research across all BIM lifecycle stages with technologies like digital twins and artificial intelligence becoming prevailing trends. The cooperative design of BIM components, virtual-real world coordination, interactions among buildings, individuals, and environments, as well as the in-depth integration of BIM with the multifaceted fields of urban management have emerged as focal points in the planning, construction, management, and maintenance of BIM, respectively. Future BIM lifecycle research will necessitate interdisciplinary collaboration, emphasizing technological integration, common data environment (CDE) information sharing, open-source BIM/historic building information modeling (HBIM) system, and impactful exploration in areas like urban construction and historical preservation.https://www.mdpi.com/2075-5309/13/11/2688building information modelinglifecycledescriptive data-driven analysisnetwork-based analysis |
| spellingShingle | Xi Kuai Yu Liu Mingyan Bi Qinyao Luo Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages Buildings building information modeling lifecycle descriptive data-driven analysis network-based analysis |
| title | Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages |
| title_full | Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages |
| title_fullStr | Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages |
| title_full_unstemmed | Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages |
| title_short | Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages |
| title_sort | deciphering building information modeling evolution a comprehensive scientometric analysis across lifecycle stages |
| topic | building information modeling lifecycle descriptive data-driven analysis network-based analysis |
| url | https://www.mdpi.com/2075-5309/13/11/2688 |
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