Digital Technologies in the Architecture, Engineering and Construction (AEC) Industry—A Bibliometric—Qualitative Literature Review of Research Activities

Manzoor, Bilal; Othman, Idris; Pomares, Juan Carlos

doi:10.3390/ijerph18116135

Cited by 64 publications

(38 citation statements)

References 200 publications

(172 reference statements)

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“…New technologies have also permitted the emergence of a new form of AI. These key features include the advent of data-driven perception, Internet-mediated group intelligence, and technology-based human-machine hybrids for reinforcement learning, which both agree on the prediction of what human and media data will support and where each other converge [107][108][109].…”

Section: Ai and Sustainable Assessmentmentioning

confidence: 99%

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Manzoor

Othman

Durdyev

et al. 2021

ASI

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The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, screening is carried out, and eventually, 105 research publications in the field of AI were selected. Keywords were searched through Boolean operation “Artificial Intelligence” OR “Machine intelligence” OR “Machine Learning” OR “Computational intelligence” OR “Computer vision” OR “Expert systems” OR “Neural networks” AND “Civil Engineering” OR “Construction Engineering” OR “Sustainable Development” OR “Sustainability”. According to the findings, it was revealed that the trend of publications received its high intention of researchers in 2020, the most important contribution of publications on AI toward sustainability by the Automation in Construction, the United States has the major influence among all the other countries, the main features of civil engineering toward sustainability are interconnectivity, functionality, unpredictability, and individuality. This research adds to the body of knowledge in civil engineering by visualizing and comprehending trends and patterns, as well as defining major research goals, journals, and countries. In addition, a theoretical framework has been proposed in light of the results for prospective researchers and scholars.

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Section: Ai and Sustainable Assessmentmentioning

confidence: 99%

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Manzoor

Othman

Durdyev

et al. 2021

ASI

Self Cite

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“…Next, similarly to other recent review articles [40,41] and in order to visualize the scientific landscape of SIAD and its practices, VOSviewer was utilized to analyze the cooccurrence of keywords used by authors. Furthermore, the overlay function was utilized to showcase the time period of keyword occurrences.…”

Section: Scientometric Analysismentioning

confidence: 99%

A Comprehensive Review of Deterrents to the Practice of Sustainable Interior Architecture and Design

2021

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The interior environment as the place where people spend nearly 95% of their time in, has recently received considerable attention within the domain of the built environment. The concept of Sustainable Interior Architecture and Design (SIAD) and its significance have been recognized given its potential for energy conservation, and its impacts on occupants’ satisfaction, comfort, as well as their physical and psychological wellbeing. Although the adoption of SIAD is crucial in achieving the sustainable development goals, its practice is still hindered by numerous deterrents. A number of studies have reported on these deterrents; however, there is no comprehensive review of the literature on this topic. Thus, as a first step toward addressing the present gap, this article provides a two decade (2000–2021) systematic review of the relevant literature that investigates a total of 51 publications. Furthermore, a scientometric analysis was conducted, and the co-citation and co-occurrence of journals and keywords were analyzed to illustrate the scientific landscape. A comprehensive summary table is provided consisting of 61 deterrents to the practice of SIAD that are categorized into five main categories: (1) economic; (2) attitude, knowledge, and awareness; (3) market, information, and technology; (4) education and training; as well as (5) government and professional bodies. Finally, the findings are deliberated upon and directions for future research are discussed.

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“…Over the years, many BIM literature reviews have been published. Whereas some focus on unique technical aspects of BIM (e.g., potential for rules to be checked to mitigate design errors) [37][38][39][40], others are more general [41,42], and some focus on green building and sustainable development [43,44]. Wu and Issa [45] point out the synergy between BIM and green building used to help achieve green objectives and boost sustainable development outcomes.…”

Section: Related Work and Research Gapsmentioning

confidence: 99%

Influence of Building Information Modeling (BIM) Implementation in High-Rise Buildings towards Sustainability

et al. 2021

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To secure full benefits without jeopardizing project feasibility, sustainability standards in high-rise building design should be included at all phases of the decision-making process. However, there are limited empirical studies on the influence of building information modeling (BIM) implementation in high-rise buildings. Implementing BIM is a viable technique to improve high-rise building sustainability performance. Therefore, the aim of this research is to explore the influence of BIM implementation in high-rise buildings by integrating the exploratory factor analysis (EFA) and structural equation modeling (SEM) approaches. Following a detailed review of the literature to identify critical success factors (CSFs) for BIM implementation, empirical evidence was gathered through a questionnaire survey with 205 stakeholders in construction projects. The EFA revealed five components, namely, productivity, visualization, coordination, sustainability, and safety improvement, all of which have a significant impact on the long-term construction of high-rise buildings. Moreover, SEM was conducted to develop the model for high-rise buildings. However, it has been revealed that awareness and usage level of BIM technology in high-rise buildings still appears to be limited. This scenario paves the way for future researchers to develop more models in the domain of high-rise buildings in order to improve sustainable development.

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Digital Technologies in the Architecture, Engineering and Construction (AEC) Industry—A Bibliometric—Qualitative Literature Review of Research Activities

Cited by 64 publications

References 200 publications

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

A Comprehensive Review of Deterrents to the Practice of Sustainable Interior Architecture and Design

Influence of Building Information Modeling (BIM) Implementation in High-Rise Buildings towards Sustainability

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