Mapping the field of Building Information Modeling(BIM) based on bibliometric analysis

AbstractThe construction industry is multidisciplinary in nature and various operations are executed at the same time. One of the major resources for executing construction operations is the human workforce. Management of this workforce with effective safety provisions is a prime factor for reducing accidents on construction sites. Nowadays, technologies such as Building Information Modeling (BIM) offer the potential to manage safety on-site with their automatic safety checking capability. BIM is a model-based smart nD platform that offers tools for architecture, engineering, and construction proficients to plan, design, and manage construction activities more efficiently. Despite its growing use globally, BIM has not been adopted sufficiently in the Indian construction industry. This paper presents a bibliometric analysis of the adoption of BIM in the global construction and the Indian construction industry. It also reviews the adoption of BIM for safety in the global and Indian construction industry. The bibliometric analysis is carried out in two phases, at first it reviews the adoption of BIM globally, and limits the findings to cover BIM adoption in the Indian construction industry. Secondly, it reviews the adoption of BIM for safety in global construction and limits the findings to cover BIM adoption for safety in India. Various complementary tools such as VOSviewer, iMapbuilder have been used for data analysis. The research highlights the need for BIM in India particularly for safety on construction sites.

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Modelado de Información de Construcción desde un análisis bibliométrico

Competitive Risaralda, generating research alliances for development ◽

10.22517/9789587224955.1.7 ◽

2021 ◽

Author(s):

Cristian Camilo Osorio Gómez ◽

Fabián Andrés Foronda Ocampo ◽

Cristhian Camilo Amariles López ◽

Juan Esteban González García

Keyword(s):

United States ◽

Bibliometric Analysis ◽

Building Information Modeling ◽

Scientific Research ◽

The United States ◽

Information Modeling ◽

Construction Technology ◽

Journal Articles ◽

Building Information ◽

Research Show

Bibliometry is responsible for applying mathematical and statistical methods to scientific research; this discipline is responsible for measuring scientific studies by applying quantitative variables to articles or texts produced by a scientific nature. A bibliometric analysis was carried out where the term "BIM" was consulted, which is the acronym for Building Information Modeling. The search was carried out in the scientific research portal Web of Science, obtaining 684 journal articles related to civil engineering and construction technology. Additionally, the bibliometric analysis software (Bibliometrix) was implemented with which analysis of co-occurrence, cocitation, and co-authorship was carried out, which allowed the study carried out to be better visualized in graphic form. The results of the research show growth in Building Information Modeling research in recent years, noting that the countries with the highest contributions are China, the United States, and the United...

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Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature

Advances in Civil Engineering ◽

10.1155/2019/5290690 ◽

2019 ◽

Vol 2019 ◽

pp. 1-19 ◽

Cited By ~ 2

Author(s):

Tatjana Vilutiene ◽

Diana Kalibatiene ◽

M. Reza Hosseini ◽

Eugenio Pellicer ◽

Edmundas Kazimieras Zavadskas

Keyword(s):

Bibliometric Analysis ◽

Structural Engineering ◽

Building Information Modeling ◽

Research Work ◽

Assembly Sequence Planning ◽

Information Modeling ◽

Future Research ◽

Sudden Increase ◽

Building Information ◽

Aec Industry

Building information modeling (BIM) is transforming the way of work across the architecture, engineering, and construction (AEC) industry, where BIM offers vast opportunities for improving performance. BIM is therefore an area of great interest across the AEC industry in general and for the structural engineering field in particular. This paper is aimed at providing a broad picture of published papers that relate BIM with structural engineering. This overview will enhance understanding of the state of the research work on this subject, drawing upon bibliometric analysis of 369 papers. Findings provide an updated picture of how now-available studies that link BIM developments and applications in structural engineering are distributed chronologically, across journals, authors, countries, and institutions. Detailed analyses of citation networks present the cooccurrence map of keywords, citation patterns of journals and articles, the most cited journals, and the top 15 most cited articles on BIM in the area of structural engineering. Discussions demonstrate that research on BIM applications for structural engineering has been constantly growing with a sudden increase after 2014. This study reveals that research attempts on this area have been dominated by exploring generic issues of BIM like information management; however, technical issues of structural engineering, to be resolved through BIM capabilities, have remained overlooked. Moreover, the research work in this area is found to be conducted largely in isolation, comprising disjointed and fragmented research studies. Gaps and important areas for future research include modeling of structural components, automation of the assembly sequence, planning and optimization of off-site construction, and dynamic structural health monitoring.

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A Bibliometric Analysis on Heritage Building Information Modeling (HBIM) Tools

ATA Planlama ve Tasarım Dergisi ◽

10.54864/ataplanlamavetasarim.1028166 ◽

2021 ◽

Vol 5 (2) ◽

pp. 61-80

Author(s):

Nur Tayyibe COŞGUN ◽

Hasan Fevzi ÇÜGEN ◽

Semra ARSLAN SELÇUK

Keyword(s):

Bibliometric Analysis ◽

Building Information Modeling ◽

Information Modeling ◽

Building Information ◽

Heritage Building

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A bibliometric review of advances in building information modeling (BIM) research

Journal of Engineering Design and Technology ◽

10.1108/jedt-01-2021-0013 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ayotunde Babalola ◽

Shamsudeen Musa ◽

Mariam Temisola Akinlolu ◽

Theo C. Haupt

Keyword(s):

Text Mining ◽

Bibliometric Analysis ◽

Information Exchange ◽

Laser Scanning ◽

Building Information Modeling ◽

Research Trends ◽

Information Modeling ◽

Historical Building ◽

Content Type ◽

Building Information

Purpose This paper aims to provide a bibliometric analysis of advances in building information modeling (BIM) research globally. It provides a recent state-of-the-art assessment on trends as it relates to the architecture, engineering and construction (AEC) industry. Being a vastly emerging research area, there is a need for the appraisal of research trends. Design/methodology/approach A comprehensive bibliometric analysis was conducted using a dual step filtering system on an initial volume of 2347 documents in the first stage between 2010 and 2020, and of 311 publications in the final stage of the analyses which emphasized more on 2015–2020 from the WoS database. Frequency analyses on the sources, affiliations, authors and country/ region of publication were assessed in the first stage of the analyses. Co-authorship and evidence of author collaboration were also examined. The second stage included a co-occurrence keyword network analysis. Further, text mining/mapping of the abstract of the documents was performed. Findings Emerging trends in the field of BIM research include but are not limited to historical building information modeling (h-BIM) applications, the use of blockchain technology, digital twin, Construction Operations Building information exchange (COBiE), Industry Foundation Classes (IFC), dynamo-bim, energy plus software and BIM laser scanning innovations. The possibility of these innovations solving some current BIM challenges were also discussed. Originality/value The study provides an insight into the BIM research trends globally while identifying existing challenges. The study uses text mining of unstructured abstracts, which has not been reported in BIM research.

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