Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis

Over the past decade, there has been a dramatic increase in the use of various technologies in the Architecture, Engineering, and Construction sector. Artificial intelligence has played a significant role throughout the different phases of the design and construction process. A growing body of liter...

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Bibliographic Details
Published in:Buildings (Basel) 2024-08, Vol.14 (8), p.2423
Main Authors: Kaushik, Amit Kant, Islam, Rubina, Elbahy, Salma, Arif, Mohammed
Format: Article
Language:English
Subjects:
Artificial intelligence
artificial neural network
Artificial neural networks
Authorship
bibliometric analysis
Bibliometrics
Building
Built environment
Citations
Civil engineering
Construction costs
Construction industry
Cost analysis
Data collection
Digital twins
energy efficiency
Energy management
Forecasts and trends
Knowledge
Literature reviews
Neural networks
Qualitative analysis
Qualitative research
Quantitative analysis
Robotics
scientometric analysis
Scientometrics
Software
Three dimensional printing
Trends
Urban environments
Citations: Items that this one cites
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Summary:Over the past decade, there has been a dramatic increase in the use of various technologies in the Architecture, Engineering, and Construction sector. Artificial intelligence has played a significant role throughout the different phases of the design and construction process. A growing body of literature recognizes the importance of artificial neural network applications in numerous areas of the construction industry and the built environment, presenting a need to explore the main research themes, attributes, benefits, and challenges. A three-step extensive research method was utilized by conducting a bibliometric search of English language articles and conducting quantitative and qualitative analyses. The bibliometric analysis aimed to identify the current research directions and gaps forming future research areas. The scientometric analysis of keywords revealed diverse areas within the construction industry linked to ANNs. The qualitative analysis of the selected literature revealed that energy management in buildings and construction cost predictions were the leading research topics in the study area. These findings recommend directions for further research in the field, for example, broadening the application ranges of ANNs in the current Construction 4.0 technologies, such as robotics, 3D printing, digital twins, and VR applications.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings14082423