2021
DOI: 10.3390/app11125397
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BIM-Based Research Framework for Sustainable Building Projects: A Strategy for Mitigating BIM Implementation Barriers

Abstract: Although Building Information Modeling (BIM) can enhance efficiency of sustainable building projects, its adoption is still plagued with barriers. In order to incorporate BIM more efficiently, it is important to consider and mitigate these barriers. The aim of this study is to explore and develop strategies to alleviate barriers in developing countries, such as Malaysia, to broaden implementation of BIM with the aid of quantitative and qualitative approaches. To achieve this aim, a comprehensive literature rev… Show more

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Cited by 53 publications
(35 citation statements)
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References 98 publications
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“…Although advances in environmentally friendly building and construction are being made, they are not keeping up with the construction sector's expansion and the rising demand for energy-efficient products and services [91,92]. As a result, energy prediction in large-scale buildings can play a key role in this field by completely examining each contributing component or estimating demand by taking numerous significant factors into account, resulting in energy savings and a reduction in environmental impact [93,94]. Furthermore, computational techniques (e.g., computer-based building simulation tools such as EnergyPlus, Modelica, and DOE-2, as well as artificial intelligence techniques/machine learning algorithms such as convolutional neural networks, logistic regression, support neural networks, multiple regression, and others) can be used to determine the dynamics of energy consumption behaviors in buildings and test new emerging trends [95][96][97].…”
Section: New Techniques and Emerging Trends Towards Sustainabilitymentioning
confidence: 99%
“…Although advances in environmentally friendly building and construction are being made, they are not keeping up with the construction sector's expansion and the rising demand for energy-efficient products and services [91,92]. As a result, energy prediction in large-scale buildings can play a key role in this field by completely examining each contributing component or estimating demand by taking numerous significant factors into account, resulting in energy savings and a reduction in environmental impact [93,94]. Furthermore, computational techniques (e.g., computer-based building simulation tools such as EnergyPlus, Modelica, and DOE-2, as well as artificial intelligence techniques/machine learning algorithms such as convolutional neural networks, logistic regression, support neural networks, multiple regression, and others) can be used to determine the dynamics of energy consumption behaviors in buildings and test new emerging trends [95][96][97].…”
Section: New Techniques and Emerging Trends Towards Sustainabilitymentioning
confidence: 99%
“…Similarly, the rise of AI is expected to have an effect on global competitiveness, environmental assessment techniques, and long-term sustainability [144]. AI will produce data for more intelligent intervention targeting, minimize waste and losses in production and use, build new technologies that will change whole industries and careers, provide the requisite improvements in communication and cost savings, and bring the benefits of the rapid pace of technological growth to many people around the world.…”
Section: Theoretical Framework and Future Directionsmentioning
confidence: 99%
“…A significant number of research studies have been conducted that integrate BIM with emerging digital technologies in order to boost modern construction [33,34]. With the advancement of construction technologies, the BIM concept consists of 3-D-Model, 4-D-Time, 5-D-Cost, 6-D-Facility Management, 7-D-Sustainability [35,36], and 8-D-Safety [37]. It indicates that "this technology has no limit since it is possible to add as many data as you want" [38].…”
Section: Literature Reviewmentioning
confidence: 99%