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Buildings
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Application and Practice of Building Information Modeling (BIM)
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Application and Practice of Building Information Modeling (BIM)

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (30 July 2023) | Viewed by 23264

Special Issue Editors

Prof. Dr. Jingxiao Zhang

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Guest Editor
School of Economics and Management, Chang’an University, Xi’an, China
Interests: BIM capstone education in Chinese CEM; environmental regulation of construction industry productivity; logic and growth management of service innovation in Chinese construction enterprise; policy evaluation of construction industry
Special Issues, Collections and Topics in MDPI journals
Dr. Christos Vlachokostas

E-Mail Website
Guest Editor
Faculty of Engineering, School of Mechanical Engineering, Sustainability Engineering Laboratory, Aristotle University, GR-54124 Thessaloniki, Greece
Interests: engineering and sustainability management; circular economy; climate change and energy strategies; environmental engineering and management; waste management and energy utilization; decision support and risk assessment tools
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xiaolong Xue

E-Mail Website
Guest Editor
School of Management, Guangzhou University, Guangzhou, China
Interests: digital trasformation and innovation; smart construction and operation; mega engineering management; innovation in the digital economy
Dr. Shaohua Jiang

E-Mail Website
Guest Editor
Department of Constuction Management, Dalian University of Technology, Dalian, China
Interests: BIM-based construction project life-cycle management; integration of BIM with big data, cloud computing, IoT, mobile communication, etc.; open BIM international
Special Issues, Collections and Topics in MDPI journals
Dr. Yi Tan

E-Mail Website1 Website2
Guest Editor
Colledge of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518052, China
Interests: BIM/GIS integration; industry foundation classes; digital twin; VR/AR; smart construction and O&M
Special Issues, Collections and Topics in MDPI journals
Dr. Jingyu Yu

E-Mail Website
Guest Editor
School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Interests: civil engineering management; project operation decision; intelligent construction; elderly liveable environment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over half of the world's population currently reside in urban areas. Urbanization has led not only to economic and social transformation, but also to high resource consumption and considerable environmental damage related to many sectors, including the building sector. The effective application and practice of Building Information Modeling (BIM) can promote holistic approaches and the building of smart homes in an urban context in order to foster policy modeling, efficient governance and sustainability. The purpose of this Special Issue is threefold: (i) to present successful approaches to the application and practice of BIM, (ii) to tractably characterize the sustainability performance of the building sector based on reliable information and BIM approaches and (iii) to promote sustainable practices towards the construction of greener buildings in urban areas. To this end, we welcome papers on BIM approaches and methodological schemes that include/combine data on energy, water consumption, waste generation and links with LCA, including estimations of carbon footprint and decarbonization. Topics of interest include:

  • BIM talent training to trigger smart construction;
  • Life-cycle-based smart construction knowledge maps in AEC that refer to emerging technology for the planning, design, construction and operation of product, project and enterprise management and decisions;
  • BIM-based digitally driven innovation and digital capabilities in project management;
  • Digital transformation and project management in AEC;
  • Self-organization design in digital transformation;
  • Big data and AI and their impacts on project society.

Prof. Dr. Jingxiao Zhang
Dr. Christos Vlachokostas
Prof. Dr. Xiaolong Xue
Dr. Shaohua Jiang
Dr. Yi Tan
Dr. Jingyu Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • building sector
  • ICT
  • building information management
  • decarbonization
  • zero-emission buildings
  • smart homes
  • sustainable construction

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Published Papers (6 papers)

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Research

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31 pages, 13910 KiB  
Article
Deciphering Building Information Modeling Evolution: A Comprehensive Scientometric Analysis across Lifecycle Stages
by Xi Kuai, Yu Liu, Mingyan Bi and Qinyao Luo
Buildings 2023, 13(11), 2688; https://doi.org/10.3390/buildings13112688 - 25 Oct 2023
Cited by 4 | Viewed by 1893
Abstract
Building Information Modeling (BIM) has catalyzed transformative shifts across various industries, which has sparked broader research interests in the BIM lifecycle. However, studies that specify the stated requirements for different technologies and methodologies from the perspective of the BIM lifecycle and analyze research [...] Read more.
Building Information Modeling (BIM) has catalyzed transformative shifts across various industries, which has sparked broader research interests in the BIM lifecycle. However, studies that specify the stated requirements for different technologies and methodologies from the perspective of the BIM lifecycle and analyze research hotspots and future research trends at each stage are scarce. Employing scientometric theories and methods, this study conducts an in-depth comparative analysis of BIM lifecycle stages. The analysis encompasses several aspects like annual research output and knowledge flows, in the aim of unveiling disparities in the technological requirements, defining research boundaries, and illuminating lifecycle research trends. Findings indicate an ongoing surge in research across all BIM lifecycle stages with technologies like digital twins and artificial intelligence becoming prevailing trends. The cooperative design of BIM components, virtual-real world coordination, interactions among buildings, individuals, and environments, as well as the in-depth integration of BIM with the multifaceted fields of urban management have emerged as focal points in the planning, construction, management, and maintenance of BIM, respectively. Future BIM lifecycle research will necessitate interdisciplinary collaboration, emphasizing technological integration, common data environment (CDE) information sharing, open-source BIM/historic building information modeling (HBIM) system, and impactful exploration in areas like urban construction and historical preservation. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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18 pages, 1982 KiB  
Article
Identification of 4D-BIM Barriers in Offshore Construction Projects Using Fuzzy Structural Equation Modeling
by Sherif El-Habashy, Fahad K. Alqahtani, Mohamed Mekawy, Mohamed Sherif and Mohamed Badawy
Buildings 2023, 13(6), 1512; https://doi.org/10.3390/buildings13061512 - 12 Jun 2023
Cited by 2 | Viewed by 1891
Abstract
Planners face many obstacles during the planning phase of any new project, especially project scheduling due to the numerous details and complexity of each uniquely designed project; previous experience in similar projects and traditional scheduling methods are not sufficient. The 4D-BIM schedule is [...] Read more.
Planners face many obstacles during the planning phase of any new project, especially project scheduling due to the numerous details and complexity of each uniquely designed project; previous experience in similar projects and traditional scheduling methods are not sufficient. The 4D-BIM schedule is the best solution, as it can be integrated with other modern technologies such as UAS, which improves project scheduling by allowing the project team to access project plans, details, and time-related information to simulate construction sequences. Despite the benefits of using 4D-BIM, planners prefer traditional planning and scheduling methods because of the barriers to using modern technologies. This research proposes a structural equation model focusing on estimating the weights of BIM barriers in offshore construction projects, including: the investigation of barriers keeping the construction industry standing at 3D-BIM; the relationships between them; and the evaluation of the probability and impact of each, using fuzzy theory. To validate the proposed model, a case study of an offshore project was conducted. The most important latent variables were awareness, risk, demand, and management, while the most prominent observed variables were the uncertainty of the return on investment and the lack of experienced users. This research guides project managers on actions that can be taken for each key variable to enhance and develop the use of 4D-BIM in project scheduling. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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26 pages, 3118 KiB  
Article
BIM-Based Checking Method for the Mass Timber Industry
by Chloé Paskoff, Conrad Boton and Pierre Blanchet
Buildings 2023, 13(6), 1474; https://doi.org/10.3390/buildings13061474 - 6 Jun 2023
Cited by 3 | Viewed by 2149
Abstract
Since the 1990s, mass timber constructions have become more and more popular. This type of construction has characteristics that are ideal for incorporating building information modeling (BIM). A mass timber structure implies offsite prefabrication at the factory, which generates modeling specificities. Although digitalization [...] Read more.
Since the 1990s, mass timber constructions have become more and more popular. This type of construction has characteristics that are ideal for incorporating building information modeling (BIM). A mass timber structure implies offsite prefabrication at the factory, which generates modeling specificities. Although digitalization and BIM are becoming more and more common, and some studies have focused on BIM for mass timber construction, none of them focus on model checking for mass timber construction. In construction projects, there is still no general method that synthesizes the possibilities offered by BIM-based model checking in general, and research on the conformity of mass timber models in particular is almost non-existent. Our research objective is to provide a general step-by-step method summarizing the process of model compliance study with dedicated tools. To conduct this work, we first solidified our understanding of the problem by interviewing professionals from the mass timber construction industry. Next, we developed our method iteratively, supported by tools, and then validated it with three model-checking case studies. This method consists of five steps: checking the specifications, digital environment implementation, requirement deciphering, calculation, and compliance results’ analysis. We then applied our method in three case studies. The results of the case studies are mixed: some audits were successful, while others were not, because barriers to auditing were encountered (missing information, impossible interpretation of data for the model properties, etc.). The obstacles encountered show that, to be efficient, BIM must be conducted on high-quality models, which is not often the case in real-life situations. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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21 pages, 1509 KiB  
Article
Critical Success Factors for Building Information Modeling Implementation as a Sustainable Construction Practice in the UAE
by Lama AbuMoeilak, Alya AlQuraidi, Abdullah AlZarooni and Salwa Beheiry
Buildings 2023, 13(6), 1406; https://doi.org/10.3390/buildings13061406 - 29 May 2023
Cited by 4 | Viewed by 2939
Abstract
The building sector is widely acknowledged as a driving force behind national prosperity. However, there are considerable challenges to the construction industry’s transition to sustainable practices, including regarding building information modelling (BIM) technologies. The United Arab Emirates has made significant progress in the [...] Read more.
The building sector is widely acknowledged as a driving force behind national prosperity. However, there are considerable challenges to the construction industry’s transition to sustainable practices, including regarding building information modelling (BIM) technologies. The United Arab Emirates has made significant progress in the Middle East in adopting BIM technologies. Green building approaches have been advanced through their incorporation into environmentally conscious building practices, with a large body of literature responding to this issue. Several projects in the United Arab Emirates have, however, made use of the complementary nature of BIM and UAE sustainable policies. However, not everybody has employed the full potential of BIM implementation in sustainable construction. This paper aims to identify and prioritize the critical success factors (CSFs) for effective BIM implementation as a sustainable construction practice in the UAE and examine their ranking and relationships. A list of critical success factors was gathered from a review of previous literature to identify the essential factors for successful implementation. A standardized questionnaire was distributed to consulting organizations and engineering enterprises to verify the existence of these CSFs and measure their importance in the context of the UAE’s construction industry. The survey data was analyzed using the analytic hierarchy process (AHP) technique to elaborate and validate the results, which was specifically applicable to the needs of this study. The results from the AHP analysis show that the social aspects were ranked as the highest critical success factor compared to the other criteria, namely economic, environmental, and information technology. Within this criterion, it was found that effective communication among stakeholders is the most important element, as subject matter experts feel that it is imperative to have buy-in from all or most of the construction project stakeholders to achieve the strategic goal of implementing BIM. Equally anticipated are both an effective corporate framework to back up the BIM system and government funding to build the BIM system. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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25 pages, 9555 KiB  
Article
System Framework for Digital Monitoring of the Construction of Asphalt Concrete Pavement Based on IoT, BeiDou Navigation System, and 5G Technology
by Jingxiao Zhang, Zhe Zhu, Hongyong Liu, Jian Zuo, Yongjian Ke, Simon P. Philbin, Zhendong Zhou, Yunlong Feng and Qichang Ni
Buildings 2023, 13(2), 503; https://doi.org/10.3390/buildings13020503 - 13 Feb 2023
Cited by 5 | Viewed by 3214
Abstract
In the construction of asphalt pavement, poor quality is often the main reason for damage to the pavement, which necessitates the use of monitoring systems during the construction stage. Therefore, this study focuses on building an asphalt concrete pavement construction monitoring system to [...] Read more.
In the construction of asphalt pavement, poor quality is often the main reason for damage to the pavement, which necessitates the use of monitoring systems during the construction stage. Therefore, this study focuses on building an asphalt concrete pavement construction monitoring system to monitor the construction phase. Through a literature review and semi-structured interviews with industry experts, this paper provides an in-depth understanding of the goals and obstacles of asphalt pavement monitoring and discusses directions for improvement. Subsequently, based on the analysis of the interview results, a system framework for asphalt concrete pavement construction monitoring was constructed, and the system was successfully developed and applied to a highway construction project. The results show that the monitoring system significantly improves the construction quality of asphalt concrete pavement, improves the intelligent level of pavement construction management, and promotes the digital development of highway construction. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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Review

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16 pages, 1936 KiB  
Review
Lean-BIM Approach for Improving the Performance of a Construction Project in the Design Phase
by Karim EL Mounla, Djaoued Beladjine, Karim Beddiar and Bélahcène Mazari
Buildings 2023, 13(3), 654; https://doi.org/10.3390/buildings13030654 - 28 Feb 2023
Cited by 9 | Viewed by 10090
Abstract
Over the last decade, the construction industry has suffered from various issues affecting the planning processes, team management, and decision-making during the design phase. Today, the concepts of Lean construction and Building Information Modeling (BIM) overlap and bring solutions to all phases of [...] Read more.
Over the last decade, the construction industry has suffered from various issues affecting the planning processes, team management, and decision-making during the design phase. Today, the concepts of Lean construction and Building Information Modeling (BIM) overlap and bring solutions to all phases of a construction project. Numerous studies have shown that leveraging BIM data through Lean principles can significantly improve the overall management of a project. However, the literature is still limited to optimizing the design phase to anticipate any deviation before the start of the work. This article aims to provide an updated review of the interaction between BIM and Lean in the design phase. The study is based on a systematic review of 61 articles selected using the Systematic Literature Review (SLR) approach. The obtained results allowed for the analysis of different Lean methods and tools that interact with BIM. Digitizing these methods and using them together is necessary to facilitate their application in a construction project. Finally, our study provides recommendations for researchers and professionals by identifying future scientific challenges. Full article
(This article belongs to the Special Issue Application and Practice of Building Information Modeling (BIM))
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