国际BIM研究演进路径、热点及前沿可视化分析
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摘要
BIM因其强大的信息集成与共享功能,颠覆建筑业传统生产范式,有助于解决传统建筑业常面临行业结构割裂、信息流失、生产效率低等难题,已成为实践界与学术界极为关注的研究主题。为系统全面把握国际上BIM研究发展脉络,以Web of Science核心集合中2005—2017年发表的493篇文献为数据来源,科学运用SATI、CiteSpace等可视化软件综合分析文献数据。研究结果表明:BIM研究演进路径由BIM研究探索期、初步成长期、深入发展期3个阶段构成;BIM研究热点分为BIM技术基础与框架、BIM技术应用及相关技术支撑三大方向;BIM研究前沿包括相互协作能力、激光扫描、方案优化、项目绩效、4维cad等方面。研究成果以期为BIM的未来研究和发展提供有益参考,也为学科领域计量可视化分析带来借鉴价值。
BIM, given its powerful information integration and sharing function, subverts the traditional production paradigm of the construction industry, and helps to solve the problems faced by the traditional construction industry, including industrial structure separation, information loss and low production efficiency. BIM has become a research topic of great concern in the field of practice and academia. In order to systematically understand the context of BIM research in the world, based on 493 documents published in the Web of Science~(TM) core set from 2005 to 2017 as data sources, visual software such as SATI and CiteSpace was used to analyze the literature data. The research results show that:(1) the evolution path of BIM research is composed of three stages, namely, BIM research period, initial growth period and deep development period.(2) the hot-spots of BIM research are divided into three directions, such as the base and framework of BIM technology, the application of BIM technology and the related technical support, and(3) the research fronts of BIM include interoperability, laser scanning, optimization, performance and 4 D cad. The research results are intended to provide useful reference for future research and development of BIM, as well as offer guiding values for the visualization analysis in the field of this discipline.
BIM, given its powerful information integration and sharing function, subverts the traditional production paradigm of the construction industry, and helps to solve the problems faced by the traditional construction industry, including industrial structure separation, information loss and low production efficiency. BIM has become a research topic of great concern in the field of practice and academia. In order to systematically understand the context of BIM research in the world, based on 493 documents published in the Web of Science~(TM) core set from 2005 to 2017 as data sources, visual software such as SATI and CiteSpace was used to analyze the literature data. The research results show that:(1) the evolution path of BIM research is composed of three stages, namely, BIM research period, initial growth period and deep development period.(2) the hot-spots of BIM research are divided into three directions, such as the base and framework of BIM technology, the application of BIM technology and the related technical support, and(3) the research fronts of BIM include interoperability, laser scanning, optimization, performance and 4 D cad. The research results are intended to provide useful reference for future research and development of BIM, as well as offer guiding values for the visualization analysis in the field of this discipline.
引文
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[2] SONG J,ZHANG H,DONG W.A Review of Emerging Trends in Global PPP Research:Analysis and Visualization[J].Scientometrics,2016,107(3):1111-1147.
[3] 梁永霞,刘则渊,杨中楷,等.引文分析领域前沿与演化知识图谱[J].科学学研究,2009,27(4):516-522.LIANG Yongxia,LIU Zeyuan,YANG Zhongkai,et al.The Frontier and Evolution Knowledge Map of Citation Analysis Field[J].Scientific Research,2009,27(4):516-522.
[4] 刘启元,叶鹰.文献题录信息挖掘技术方法及其软件SATI的实现——以中外图书情报学为例[J].信息资源管理学报,2012(1):50-58.LIU Qiyuan,YE Ying.The Information Mining Technology Method of Literature Bibliography and Its Software SATI-Taking Chinese and Foreign Library and Information Science as an Example[J].Journal of Information Resources Management,2012(1):50-58.
[5] CHEN C.CiteSpace II:Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature[J].The American Society for Information Science and Technology,2006,57(3):359-377.
[6] 何晓萍,黄龙.大数据领域演进路径、研究热点与前沿的可视化分析[J].现代情报,2015,35(4):46-51.HE Xiaoping,HUANG Long.Visualization Analysis of Evolution Path,Research Hot-spots and Frontiers in Big Data Domain[J].Modern Information,2015,35(4):46-51.
[7] LEE G,SACKS R,EASTMAN C M.Specifying Parametric Building Object Behavior (BOB) for a Building Information Modeling System[J].Automation in Construction,2006,15(6):758-776.
[8] HOWARD R,BJORK B C.Building Information Modeling-Experts’ Views on Standardization and Industry Deployment[J].Advanced Engineering Informatics,2008,22(2):271-280.
[9] SUCCAR B.Building Information Modeling Framework:A Research and Delivery Foundation for Industry Stakeholders[J].Automation in Construction,2009,18(3):357-375.
[10] SACKS R,KOSKELA L,DAVE B A,et al.Interaction of Lean and Building Information Modeling in Construction[J].Construction Engineering & Management,2010,136(9):968-980.
[11] JUNG Y,JOO M.Building Information Modeling (BIM) Framework for Practical Implementation[J].Automation in Construction,2011,20(2):126-133.
[12] CEROVSEK T.A Review and Outlook for a‘Building Information Model’(BIM):A Multi-stand Point Framework for Technological Development[J].Advanced Engineering Informatics,2011,25(2):224-244.
[13] HARTMANN T,MEERVELD H V,VOSSEBELD N,et al.Aligning Building Information Model Tools and Construction Management Methods[J].Automation in Construction,2012,22(3):605-613.
[14] LOVE P E D,SIMPSON I,HILL A,et al.From Justification to Evaluation:Building Information Modeling for Asset Owners[J].Automation in Construction,2013,35(11):208-216.
[15] BRYDE D,BROQUETAS M,VOLM J M.The Project Benefits of Building Information Modeling (BIM)[J].International Journal of Project Management,2013,31(7):971-980.
[16] VOLK R,STENGEL J,SCHULTMANN F.Building Information Modeling(BIM) for Existing Buildings-literature Review and Future Needs[J].Automation in Construction,2014,43(38):109-127.
[17] CAO D,WANG G,LI H,et al.Practices and Effectiveness of Building Information Modeling in Construction Projects in China[J].Automation in Construction,2015,49:113-122.
[18] 陈仕吉.科学研究前沿探测方法综述[J].现代图书情报技术,2009(9):28-33.CHEN Shiji.Overview of Frontier Detection Methods in Scientific Research[J].Modern Library and Information Technology,2009(9):28-33.
[19] CHEN C.Searching for Intellectual Turning Points:Progressive Knowledge Domain Visualization[J].Proceedings of the National Academy of Sciences,2004,101(l):5303-5310.