Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review

Motheo Meta Tjebane; Innocent Musonda; Chioma Okoro; Adetayo Onososen

doi:10.1007/978-3-030-97748-1_12

Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review

Centre for Applied Research and Innovation in the Built Environment

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Construction in 5D
Subtitle of host publication	Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021
Editors	Theo C. Haupt, Mariam Akinlolu, Fredrick Simpeh, Christopher Amoah, Zakheeya Armoed
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	137-150
Number of pages	14
ISBN (Print)	9783030977474
DOIs	https://doi.org/10.1007/978-3-030-97748-1_12
Publication status	Published - 2023
Event	15th Built Environment Conference, 2021 - Virtual, Online Duration: 27 Sept 2021 → 28 Sept 2021

Publication series

Name	Lecture Notes in Civil Engineering
Volume	245
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	15th Built Environment Conference, 2021
City	Virtual, Online
Period	27/09/21 → 28/09/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Artificial intelligence
Construction management
Sustainable scientometric
VOSviewer

ASJC Scopus subject areas

Civil and Structural Engineering

Access to Document

10.1007/978-3-030-97748-1_12

Cite this

Tjebane, M. M., Musonda, I., Okoro, C., & Onososen, A. (2023). Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review. In T. C. Haupt, M. Akinlolu, F. Simpeh, C. Amoah, & Z. Armoed (Eds.), Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021 (pp. 137-150). (Lecture Notes in Civil Engineering; Vol. 245). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97748-1_12

Tjebane, Motheo Meta ; Musonda, Innocent ; Okoro, Chioma et al. / Artificial Intelligence (AI) in Sustainable Construction Management : A Scientometric Review. Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021. editor / Theo C. Haupt ; Mariam Akinlolu ; Fredrick Simpeh ; Christopher Amoah ; Zakheeya Armoed. Springer Science and Business Media Deutschland GmbH, 2023. pp. 137-150 (Lecture Notes in Civil Engineering).

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title = "Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review",

abstract = "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.",

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author = "Tjebane, \{Motheo Meta\} and Innocent Musonda and Chioma Okoro and Adetayo Onososen",

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series = "Lecture Notes in Civil Engineering",

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Tjebane, MM, Musonda, I , Okoro, C & Onososen, A 2023, Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review. in TC Haupt, M Akinlolu, F Simpeh, C Amoah & Z Armoed (eds), Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021. Lecture Notes in Civil Engineering, vol. 245, Springer Science and Business Media Deutschland GmbH, pp. 137-150, 15th Built Environment Conference, 2021, Virtual, Online, 27/09/21. https://doi.org/10.1007/978-3-030-97748-1_12

Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review. / Tjebane, Motheo Meta; Musonda, Innocent ; Okoro, Chioma et al.
Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021. ed. / Theo C. Haupt; Mariam Akinlolu; Fredrick Simpeh; Christopher Amoah; Zakheeya Armoed. Springer Science and Business Media Deutschland GmbH, 2023. p. 137-150 (Lecture Notes in Civil Engineering; Vol. 245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 - https://www.scopus.com/pages/publications/85134180317

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 -

Tjebane MM, Musonda I , Okoro C , Onososen A. Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review. In Haupt TC, Akinlolu M, Simpeh F, Amoah C, Armoed Z, editors, Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development - Proceedings of the 15th Built Environment Conference, 2021. Springer Science and Business Media Deutschland GmbH. 2023. p. 137-150. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-030-97748-1_12

Artificial Intelligence (AI) in Sustainable Construction Management: A Scientometric Review

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this