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Application of Building Information Modelling in Construction Management

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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 July 2026 | Viewed by 11263

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Special Issue Editors

Dr. Mario Galić

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Associate Professor, Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Street Vladimir Prelog 3, 31000 Osijek, Croatia
Interests: BIM; civil engineering; construction process modelling, simulation and optimization; construction project planning and scheduling; construction technology; logistics and supply chain management
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Dr. Zlata Dolaček-Alduk

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Professor, Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Street Vladimir Prelog 3, 31000 Osijek, Croatia
Interests: BIM; civil engineering; construction process modelling, simulation and optimization; construction project planning and scheduling; quality management; project management

Special Issue Information

Dear Colleagues,

We invite you to contribute to this Special Issue of Buildings, devoted to the latest developments in building information modeling (BIM) and its applications in construction management. Submissions of original scientific works and review papers focused on the latest developments of BIM are welcome.

For more than a decade, BIM has arguably been one of the fastest-growing approaches in the construction industry and, as such, an important driver of the current industrial revolution commonly referred to as Construction 4.0, leading us towards the industry's fifth revolution. The dynamic connection of the BIM model with input–output real-time data exchange between construction sites and management provides a lean and productive approach to construction project management. The main goal yet is to establish a holistic, dynamic approach to integrating BIM in everyday applications to benefit the overall success of construction.

In this perspective, we invite you to publish your related work in this Special Issue.

Dr. Mario Galić
Dr. Zlata Dolaček-Alduk
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 250 words) can be sent to the Editorial Office for assessment.

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

BIM
Construction 4.0
dynamic data exchange and transformation
IoT-oriented project management
scan to BIM
active BIM
BIM legislation and contracting
BIM and blockchain technology

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Published Papers (5 papers)

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Research

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30 pages, 1184 KB

Open AccessArticle

Artificial Intelligence and Building Information Modelling for Sustainable Construction Project Management and Digitalization in Construction

by Ivan Marović, Tomáš Mandičák, Katarína Krajníková, Annamária Behúnová and Peter Mésároš

Buildings 2026, 16(4), 846; https://doi.org/10.3390/buildings16040846 - 20 Feb 2026

Viewed by 1338

Abstract

The rapid development of digital technologies presents both a challenge and an opportunity for strengthening sustainability in construction project management. Within the broader digitalization agenda, Building Information Modelling (BIM) and Artificial Intelligence (AI) have emerged as key tools for improving environmental and economic performance through resource optimization. While traditional methods for optimizing resources, costs, and time remain relevant, the integration of BIM and AI introduces innovative capabilities that support decision-making, process automation, and data-driven sustainability strategies. The aim of this research is to analyze the extent to which BIM and AI are used for sustainable resource optimization in construction and to quantify their potential impact on the optimization of costs, resources, and time in the sector. A cross-sectional survey was conducted among construction companies operating in three European markets, Slovakia, Slovenia, and Croatia. The collected data were analyzed using descriptive statistics, correlation and regression analysis, and statistical hypothesis testing to assess the significance of relationships between technology adoption and sustainability outcomes. The results confirm that BIM adoption is positively correlated with improved sustainability management and optimization practices, with usage levels varying by company size and project scale. In contrast, AI adoption remains at a low level, indicating untapped potential for broader application. These findings contribute to understanding the role of digital tools in driving sustainable transformation in the construction sector and highlight areas for further research and practical deployment. BIM demonstrates particularly strong correlations with cost planning (r = 0.983), resource planning (r = 0.964), and schedule planning (r = 0.867), while AI shows robust associations with cost planning (r = 0.925), schedule planning (r = 0.865), and resource planning (r = 0.809). The findings indicate that maximum effectiveness is achieved when BIM and AI are deployed in a complementary manner under skilled human oversight. Full article

(This article belongs to the Special Issue Application of Building Information Modelling in Construction Management)

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Review

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26 pages, 2210 KB

Open AccessReview

Steel Construction 4.0: Systematic Review of Digitalization and Automatization Maturity in Steel Construction

by Dario Šokić, Zlata Dolaček-Alduk and Mario Galić

Buildings 2025, 15(13), 2154; https://doi.org/10.3390/buildings15132154 - 20 Jun 2025

Cited by 1 | Viewed by 1971

Abstract

Construction 4.0 is propelling the construction sector towards a digital, automated, and sustainable framework. This paper reviews advancements in automation and digitalization within the steel construction industry, framed by the principles of Construction 4.0. An analysis of the existing literature indicates that previous review studies have explored the technologies and concepts associated with Construction 4.0. However, none have consolidated these technologies and concepts (T&C) specifically within the context of the steel construction industry to evaluate their impact on steel manufacturing and assembly processes which was the main criterion for article selection. Therefore, this paper aims to consolidate various Construction 4.0 technologies and concepts to explore their integration into the steel construction industry. Based on data from the Web of Science and Scopus, a thorough screening process identified 56 out of 161 articles for analysis regarding their applicability to the steel construction industry. The evolution of various technologies in the steel construction industry has been examined over the years, starting with the initial references to each technology. In addition to discussing the advancements of these technologies and their influence on contemporary digitalization and automation within the steel sector, the authors seek to identify which T&C are most commonly utilized in manufacturing and assembly processes. The graphical results of this review indicate that each type of T&C can serve as a tool for quality control throughout the manufacturing and assembly processes. However, it is noteworthy that most research remains concentrated on enhancing material tracking and identification during these stages of production. Full article

(This article belongs to the Special Issue Application of Building Information Modelling in Construction Management)

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25 pages, 6577 KB

Open AccessReview

Building Information Modeling Applications in Civil Infrastructure: A Bibliometric Analysis from 2020 to 2024

by Yaning Li, Yongchang Li and Zhikun Ding

Buildings 2024, 14(11), 3431; https://doi.org/10.3390/buildings14113431 - 28 Oct 2024

Cited by 5 | Viewed by 6134

Abstract

Building Information Modeling (BIM) has emerged as a transformative technology in the Architecture, Engineering, and Construction (AEC) industry, with increasing application in civil infrastructure projects. This study comprehensively reviews the research landscape of BIM applications in civil infrastructure through bibliometric analysis. Based on data from the Web of Science database, 646 relevant papers published between 2020 and 2024 were collected, and 416 papers were selected for in-depth analysis after screening. Using bibliometric methods, the analysis reveals the evolution of research trends, identifies key contributors and influential publications, and maps the knowledge structure of the field. Our study shows a significant increase in research output over the past five years, particularly in studies focusing on the integration of BIM with emerging technologies such as Digital Twins, the Internet of Things (IoT), and Machine Learning. The results indicate that the United States, China, and the United Kingdom lead in terms of research output and citation impact. Additionally, based on clustering results and representative keywords, several key research clusters were identified, including BIM in infrastructure lifecycle management, BIM collaboration in large-scale projects, and BIM for sustainable infrastructure design. Full article

(This article belongs to the Special Issue Application of Building Information Modelling in Construction Management)

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Other

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26 pages, 2494 KB

Open AccessSystematic Review

Project Delivery Methods (PDMs) in BIM Implementation: A Scoping Review

by Filip Ivančić and Mladen Vukomanović

Buildings 2026, 16(8), 1595; https://doi.org/10.3390/buildings16081595 - 18 Apr 2026

Viewed by 179

Abstract

Building Information Modeling (BIM) supports information integration and coordination across the construction lifecycle, but benefits depend on collaboration that is shaped by the selected project delivery method (PDM). BIM-PDM evidence is difficult to consolidate due to heterogeneous terminology and fragmented, context-specific studies. This scoping review maps which PDMs are addressed in the BIM-related literature and how adequacy is framed. Following PRISMA-ScR, Web of Science and Scopus were searched and 71 studies met the eligibility criteria. Publications increased markedly after 2018 and were geographically concentrated, with the largest shares associated with author affiliations in China, the United Kingdom, Australia, Canada, Malaysia, and the United States. Integrated Project Delivery (IPD) was the most frequently examined (46 studies), followed by Design–Bid–Build (DBB) (29), Design–Build (DB) (29), Public–Private Partnership (PPP) (17), and Engineering, Procurement, and Construction (EPC) (14), while Alliancing, Lean-oriented delivery approaches, and Construction Management were comparatively underrepresented. A temporal analysis indicates a recent shift toward collaborative delivery methods in BIM research. Case-based studies are predominantly situated in public sector projects, with DBB, DB, EPC, and IPD examined across both infrastructure and building contexts, while PPP is limited to infrastructure. The literature is largely focused on design and construction phases, with limited attention to early project stages and operation and maintenance. Results indicate both traditional and relationship-based PDMs are studied in the existing literature, with research framing PDMs that allow for early contractor involvement as most compatible with BIM. Moreover, IPD, DB, and EPC show the best alignment compared to most used traditional DBB methods primarily due to the early involvement of the contractor in the project. EPC and DB achieve this through the allocation of responsibility to the contractor, whereas IPD relies on the early engagement of key participants and the systematic alignment of their objectives. Collaborative and relationship-based approaches are consistently presented as the most suitable for BIM, while DBB tends to constrain BIM benefits because of its fragmented nature. This study contributes by providing a systematic synthesis of BIM-PDM relationships in the scientific literature, identifying the key mechanisms underlying the suitability of different delivery methods for BIM implementation, and offering recommendations for future research based on the identified gaps. Full article

(This article belongs to the Special Issue Application of Building Information Modelling in Construction Management)

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22 pages, 4917 KB

Open AccessTechnical Note

Reducing Latency in Digital Twins: A Framework for Near-Real-Time Progress and Quality Reporting

by Zvonko Sigmund, Ivica Završki, Ivan Marović and Kristijan Vilibić

Buildings 2026, 16(7), 1448; https://doi.org/10.3390/buildings16071448 - 6 Apr 2026

Viewed by 469

Abstract

While Digital Twins offer transformative potential, their efficacy for real-time control is constrained by the slow data acquisition and the high computational intensity required to process raw datasets like point clouds. This paper identifies these critical bottlenecks—specifically the latency between data capture and actionable insight—and proposes a refined theoretical framework for near-real-time automated progress monitoring and quality reporting. Building on the findings of the NORMENG project and informing the subsequent AutoGreenTraC project, this research synthesizes state-of-the-art advancements in reality capture, including LIDAR, SfM-MVS, and 360-degree vision. The study highlights a fundamental divergence in stakeholder requirements: the need for millimeter-level precision in quality control versus the demand for high-velocity documentation for progress monitoring. A key innovation presented is the shift toward neural rendering techniques to bypass the computational delays of traditional photogrammetry and enable immediate on-site visualization. By structuring a tiered processing hierarchy that combines lightweight edge analysis for immediate safety and progress monitoring with asynchronous high-fidelity Digital Twin updates, the framework aims to establish a single source of truth. Full article

(This article belongs to the Special Issue Application of Building Information Modelling in Construction Management)

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