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Buildings
Special Issues
Emerging Technologies and Workflows for BIM and Digital Construction
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Emerging Technologies and Workflows for BIM and Digital Construction

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

Deadline for manuscript submissions: 31 October 2025 | Viewed by 7038

Special Issue Editors

Dr. David Heesom

E-Mail Website
Guest Editor
School of Architecture and Built Environment, University of Wolverhampton—Springfield Campus, Grim-Stone Street, Wolverhampton WV10 0JR, UK
Interests: digital construction; BIM; virtual reality; heritage BIM; augmented reality; drones; laser scanning; photogrammetry
Dr. Wei Zhou

E-Mail Website
Guest Editor
School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia
Interests: BIM implementation; computer vision; digital construction; digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The implementation of building information modelling (BIM) processes and technologies over the last 15 years has bought about a signifiacnt enhancement of the digitsation of the industry. This adoption has not been without its challenges with the divide being evident based on global geography (Saka and Chanm, 2023) and individual company size (Turk, 2021). Whilst the adoption of digital technologies and subsequent BIM processes may have been more laboured than other sectors, we are seeing some significant transformations in workflows and applications, not least because of the increased developments in hardware and software technologies.

The progression of hardware and software tools is happening at an unprecented rate. Autonomous vehicles, drones and advanced robotics are some examples of how construction is finding use cases to support a range of site-based activities. In the domain of software, we are seeing the rise in Digital Twin, the increasing use and exploitation of artificial intelligence and virtual and augmented reality tools that blur the line between the physical and the virtual. All of these emergent technologies engage with digital data in various forms and subsequently feed into the digital based workflows at the heart of the BIM process.

The aim of this Special Issue is to provide example use cases and recommended novel workflows for how emerging technologies can be implemented within prevailing BIM workflows to further enhance the digitisation of the construction industry.

References

Saka, A.B. and Chan, D.W., 2023. BIM divide: an international comparative analysis of perceived barriers to implementation of BIM in the construction industry. Journal of Engineering, Design and Technology, 21(5), pp.1604-1632.

Turk, Ž., 2023. Structured analysis of ICT adoption in the European construction industry. International Journal of Construction Management, 23(5), pp.756-762.

Dr. David Heesom
Dr. Wei Zhou
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 semimonthly 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 information modelling (BIM)
  • emerging technology
  • digital twin artificial intelligence
  • virtual augmented reality
  • digital data
  • robotics

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Published Papers (2 papers)

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Research

17 pages, 930 KiB  
Article
Exploring the Use of Lean, Offsite and Simulation in Housing Delivery: Evidence from the UK
by Emmanuel Itodo Daniel, Ashendra Nikeshala Konara and Olalekan Oshodi
Buildings 2024, 14(6), 1642; https://doi.org/10.3390/buildings14061642 - 3 Jun 2024
Cited by 1 | Viewed by 1217
Abstract
The subpar performance of housing construction projects has been attributed to their reliance on traditional construction methods. In response to this issue, numerous innovative approaches, including modern methods of construction (MMC), have been employed to facilitate the execution of housing projects. The present [...] Read more.
The subpar performance of housing construction projects has been attributed to their reliance on traditional construction methods. In response to this issue, numerous innovative approaches, including modern methods of construction (MMC), have been employed to facilitate the execution of housing projects. The present study explores the use of MMC, specifically lean, offsite, and simulation (LOS) techniques, in delivering housing construction projects within the United Kingdom. Employing a qualitative research approach, eighteen relevant stakeholders from England, Wales, Scotland, and Northern Ireland were interviewed to fulfil the study’s purpose. The findings demonstrate that the integration of LOS techniques is advantageous in the delivery of housing construction projects. Moreover, governmental support, collaboration, leadership, training, stakeholder engagement, and environmental consideration were identified as critical factors facilitating the implementation of LOS in housing project delivery. This study provides valuable insights into the key factors that support the adoption of LOS techniques within the UK context and can serve as a guide for stakeholders in the future use of LOS in the UK housing sector. Furthermore, the empirical and qualitative evidence presented on the application of lean, offsite, and simulation (LOS) in housing delivery in the UK can contribute to efforts to address the country’s housing shortage. Full article
(This article belongs to the Special Issue Emerging Technologies and Workflows for BIM and Digital Construction)
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26 pages, 2800 KiB  
Article
Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
by Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany and Ahmed Gouda Mohamed
Buildings 2024, 14(1), 268; https://doi.org/10.3390/buildings14010268 - 18 Jan 2024
Cited by 28 | Viewed by 4692
Abstract
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a [...] Read more.
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a holistic understanding of the impact of KSFs on BIM-DT adoption. The research aims to identify KSFs and parameters, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and offer practical insights into the findings. The results revealed the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The findings also revealed that the readiness of the organization to adopt the technology, availability of technology operators, availability of standards and codes for the new technology, availability of knowledge, skills, and competencies to adopt the technology, and availability of funds and financial investment are the top-ranked KSFs contributing to the successful adoption of BIM-DT. Full article
(This article belongs to the Special Issue Emerging Technologies and Workflows for BIM and Digital Construction)
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