TY - GEN
T1 - Artificial Intelligence (AI) in Sustainable Construction Management
T2 - 15th Built Environment Conference, 2021
AU - Tjebane, Motheo Meta
AU - Musonda, Innocent
AU - Okoro, Chioma
AU - Onososen, Adetayo
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The possibilities and potentials of Artificial Intelligence (AI) in enhancing the effectiveness of sustainable construction management is gaining momentum in research. While this area is in need of further studies, it is imperative to identify the trends, research clusters, emerging thematic areas and future directions of AI in sustainable construction management. Using scientometric analysis, this study examines AI in sustainable construction management research published primarily in the Scopus database from 2011 to 2021. A critical study was used to define the research trends in AI sustainable construction management research, while a scientometric analysis critically visualised the research status quo. From analysis China, the United States of America and the United Kingdom are the top contributing countries. The top co-occurring keyword is “Artificial Intelligence”. Four research themes were identified with the combination of cluster analysis and critical review: “GA Decision Support System (GA-DSS)”, “High-Performance Building Design and Decision-Making”, “Intelligent Concrete Prediction” and “Geographic Information Model.” This analysis examines current research and identifies emerging trends in this field.
AB - The possibilities and potentials of Artificial Intelligence (AI) in enhancing the effectiveness of sustainable construction management is gaining momentum in research. While this area is in need of further studies, it is imperative to identify the trends, research clusters, emerging thematic areas and future directions of AI in sustainable construction management. Using scientometric analysis, this study examines AI in sustainable construction management research published primarily in the Scopus database from 2011 to 2021. A critical study was used to define the research trends in AI sustainable construction management research, while a scientometric analysis critically visualised the research status quo. From analysis China, the United States of America and the United Kingdom are the top contributing countries. The top co-occurring keyword is “Artificial Intelligence”. Four research themes were identified with the combination of cluster analysis and critical review: “GA Decision Support System (GA-DSS)”, “High-Performance Building Design and Decision-Making”, “Intelligent Concrete Prediction” and “Geographic Information Model.” This analysis examines current research and identifies emerging trends in this field.
KW - Artificial intelligence
KW - Construction management
KW - Sustainable scientometric
KW - VOSviewer
UR - http://www.scopus.com/inward/record.url?scp=85134180317&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-97748-1_12
DO - 10.1007/978-3-030-97748-1_12
M3 - Conference contribution
AN - SCOPUS:85134180317
SN - 9783030977474
T3 - Lecture Notes in Civil Engineering
SP - 137
EP - 150
BT - Construction in 5D
A2 - Haupt, Theo C.
A2 - Akinlolu, Mariam
A2 - Simpeh, Fredrick
A2 - Amoah, Christopher
A2 - Armoed, Zakheeya
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 27 September 2021 through 28 September 2021
ER -
