Functions of LOI Information Quantity in BIM Implementation Processes

This study investigated how Building Information Modeling (BIM) and Digital Twin (DT) technologies influenced risk reduction in civil infrastructure projects using a cross-sectional quantitative design. The dataset comprised 168 civil infrastructure projects across highways (36.9%), bridges (24.4%), rail corridors (19.6%), tunnels (10.7%), and water infrastructure (8.3%), delivered through design–bid–build (39.9%), design–build (32.1%), and PPP/alliance procurement (28.0). Digital implementation showed mid-to-high BIM practice (BIM adoption intensity M = 3.74, SD = 0.71; BIM maturity M = 3.58, SD = 0.68) and more dispersed DT practice (DT utilization M = 3.12, SD = 0.89; DT predictive capacity M = 3.26, SD = 0.84), while integration maturity remained moderate (M = 3.41, SD = 0.79). Risk reduction outcomes demonstrated substantial variability (cost risk reduction M = 64.8, SD = 12.5; schedule M = 61.3, SD = 13.9; safety M = 55.7, SD = 15.6; quality M = 59.9, SD = 14.2; operational M = 67.2, SD = 11.8; composite index M = 61.8, SD = 10.7). Correlations were positive across domains, with integration maturity showing the strongest association with the composite risk index (r = 0.61). Reliability and validity were adequate for all constructs (Cronbach’s alpha 0.81–0.89, composite reliability 0.86–0.92, AVE 0.53–0.64), and collinearity remained acceptable (VIF 1.20–2.27). Hierarchical regression indicated that BIM predictors explained the largest incremental variance in cost and schedule risk reduction (ΔR² = 0.18–0.20), DT predictors contributed most to safety and operational risk reduction (ΔR² = 0.15–0.22), and integration maturity added broad multi-risk explanatory power, especially for the composite index (ΔR² = 0.14, β = 0.41, p < .001). Moderation tests showed complexity weakened BIM scheduling effects, whereas data reliability and team digital capability strengthened DT and integration impacts. Overall, BIM stabilized delivery risks, DTs strengthened safety and operational reliability, and BIM–DT integration yielded the most comprehensive multidimensional risk reduction.

The present study uses a bibliometric and systematic literature review (SLR) to examine the use of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The network visualization and other approaches based on the Web of Science (WOS) database and the patterns of research interactions were explored in 1879 academic publications using co-occurrence and co-citation investigations. Significant publications, conferences, influential authors, countries, organizations, and funding agencies have been recognized. Our study demonstrates that BIM, IoT, and DT in construction, Heritage BIM (HBIM), Smart Contracts, BIM, and Ontology, and VR and AR in BIM and DT are the main study themes. Finally, several prospective areas for future study are identified, including BIM and Metaverse technology, BIM and Artificial Intelligence (AI), Metaheuristic algorithms for optimization purposes in BIM, and the Circular Economy with BIM and IoT.

Enabling Building Information Modeling (BIM) Practices in the Canadian Construction Industry: A case for an academic programIn today’s construction industry, we are seeing a growing number of complex and high qualityconstruction projects all around the world using the BIM process. In order to get the most benefitout of BIM, there is a dire need for standards and efficient educational programs and courses totrain skilled professionals to support the implementation of BIM in the construction industry.Based on a preliminary environmental scan, there is a huge gap between industry BIM needs andavailable training/educational programs to facilitate effective implementation of BIM.Construction education needs to fill the gaps in BIM training for industry to remain current,responsive and relevant. Although an increasing number of educational institutions offeringarchitecture, engineering and construction programs have initiated to offer BIM related courses,there is no comprehensive curriculum developed by local academia to address the BIM relatedtraining needs of the construction industry in Alberta. Several researches and case studiesadvocate that industry stakeholders can use BIM technologies to save time and cost, whileimproving building quality. Integrating BIM collaboratively among stakeholders will also boostcompetitiveness and productivity in the building industry.BIM enables team collaboration, assisting project managers to more reliably communicateproject’s intent to all stakeholders in a timely fashion. It is therefore important for industry andacademic institutions to work collaboratively in order to understand the level and skillsetrequired for effective implementation of BIM practices in the industry.The paper aims to review the current state of BIM training programs; consult and solicitfeedback with various stakeholders with respect to training; and recommend appropriate trainingprograms that provides industry professionals with the fundamental skills and knowledge ofprinciples, terminologies, tools, and techniques related to BIM practices. The research utilizes aqualitative methodology to capture stakeholder’s experiences and understanding differentperspectives on BIM practices in the industry. The study suggests that a BIM certificate will helptraining our professionals better to address the needs of BIM practices in the constructionindustry. There is a dire need for a certificate program that provides the required skillset toproduce career ready professionals for enabling BIM practices in the construction industry. Thestudy findings would be of interest to BIM experts, construction professionals, and facultyinvolved with BIM education.

This systematic review and meta-analysis investigates the evolving role of Building Information Modeling (BIM) in managing multidimensional risks associated with sustainable bridge infrastructure projects. Drawing upon the PRISMA methodology, the study rigorously screened and analyzed a total of 87 peer-reviewed journal articles and conference papers published between 2010 and 2024. The selected literature was sourced from five leading academic databases—Scopus, Web of Science, IEEE Xplore, ScienceDirect, and the ASCE Library—ensuring comprehensive coverage of global research on BIM-based risk management practices. The review focuses on how BIM contributes to the identification, analysis, mitigation, and continuous monitoring of technical, financial, environmental, and operational risks throughout the lifecycle of bridge projects. Findings reveal that BIM’s capabilities extend well beyond 3D visualization, offering robust tools for 4D scheduling, 5D cost estimation, and real-time data integration that collectively enhance proactive decision-making. BIM facilitates early risk detection through clash detection, geospatial analysis, and scenario simulations during the planning and design stages, reducing design inconsistencies and constructability issues. Moreover, the study synthesizes evidence demonstrating how BIM supports cost and schedule risk control by enabling dynamic simulation of construction sequences and integration with live pricing data, resulting in reduced cost overruns and schedule delays. The review also highlights the increasing convergence of BIM with Internet of Things (IoT) technologies, digital twins, and Geographic Information Systems (GIS), enabling real-time monitoring of structural health, predictive maintenance, and environmental risk modeling in operational phases. Lifecycle-oriented risk governance through BIM emerged as a key theme, particularly in studies focused on sustainability assessments, material optimization, and long-term asset performance. Institutional adoption patterns, regulatory influences, and policy frameworks were also examined, revealing that countries with mandated BIM protocols exhibit more advanced integration of BIM into public infrastructure risk management. Despite persistent challenges such as fragmented data standards, skill gaps, and limited interoperability, the majority of the reviewed literature—accumulating over 3,400 citations—converges on the conclusion that BIM is an essential enabler of risk-informed, sustainable bridge engineering.

Purpose This paper aims to fill the research gap on digital twin technology and its broad applicability during construction by shedding light on its interaction with Building Information Modeling (BIM) from a construction project management perspective. It presented the true potential of the digital twins in the construction phase of the project lifecycle. Design/methodology/approach The paper employed a two-step methodology that included a comprehensive synthesis of the literature on digital twins through the construction management lens and a questionnaire survey to assess the impact of digital twin services brought to light on parallel BIM uses. Findings The paper provides validated applications and many advantages of the digital twin on construction project management. It suggests that the industry should take advantage of 10 digital twin services introduced to eliminate the low efficiency and lack of productivity that the construction industry is still facing. Research limitations/implications The paper is one of the rare and pioneering studies that addresses the interaction between the digital twin and BIM from a construction management perspective with a quantitative approach examining the reflection of academic publications on the industry and their reception among industry professionals. Practical implications The paper provides a meaningful definition for the industry by grounding the concept of digital twin in existing technologies and their practical applications. This provides a roadmap for managers to approach the problems and BIM limitations they need to overcome in their companies or projects with tailor-made solutions. Originality/value The paper is one of the pioneering quantitative studies that fulfills an identified need to investigate digital twin technology for construction management and its extensive applicability for quickly evolving construction sites.

This study aimed to ascertain the research status of complexity issues in building information modeling (BIM) diffusion and identify future research directions in this field. A total of 366 relevant journal articles were holistically evaluated. The visualization analysis indicated that management aspects, emergent trends (such as green building, facility management, and automation), and theme clusters (such as interoperability, waste management, laser scanning, stakeholder management, and energy efficiency) are shaping BIM research towards complexity. Areas such as supply chain, cost, digital twin, and web are also essential. The manual qualitative evaluation classified the complexity issues in BIM diffusion research into three types (complexities of network-based BIM evolution, impact of BIM adoption circumstances, and BIM-based complexity reduction for informed decision making). It was concluded that BIM has been shifting towards information models and systems-based life cycle management, waste control for healthy urban environments, and complex data analysis from a big data perspective, not only in building projects but also in heritage and infrastructure, or at the city scale, for informed decision making and automatic responses. Future research should investigate the co-evolution between collaborative networks and BIM artefacts and work processes, quality improvement of BIM-based complex networks, BIM post-adoption behaviors influenced by complex environmental contexts, and BIM-based complexity reduction approaches.

Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.

With the increase of the scale and complexity of urban road construction, the problems of traditional construction management methods are prominent.This article focuses on the research of lifecycle management method of urban road construction based on BIM (Building Information Model) and DT (Digital Twin).By analyzing the technical principles and application characteristics of BIM and DT, this article constructs a management framework that integrates them, and accordingly puts forward management methods in each stage.In the construction planning stage, BIM is used to build the model and DT is used to simulate the optimization scheme; In the process of construction, real-time monitoring and dynamic management are realized by using them; In the final acceptance stage, BIM is used to integrate data and DT to evaluate the quality; In the operation and maintenance stage, intelligent and refined management is realized based on the two.The research results are expected to solve the disadvantages of traditional management, improve the scientific, refined and intelligent level of urban road construction management, and provide strong support for the high-quality development of urban road construction.

The need to optimize investments in bridge maintenance has created a demand for improved bridge management systems (BMS). Outdated practices in bridge inspection and constant advances in information technology have also contributed to this demand. The use of Digital Twins (DT), although well established in other industries, is still incipient for asset management and structural analysis of bridges. There is a great deal of research on Building Information Modelling (BIM) for bridge inspection, but its post-construction potential is still under-explored. This study presents a state-of-the-art review of the literature on asset management for bridges using digital models such as BIM and digital twins. The review was conducting using a systematic approach. Despite the rapid increase in research on DT and the amount of existing research on BIM, several gaps remain to be addressed, such as the lack of consensus about the definition of digital twins, which has led to wrongful categorisation of digital models as DT. The complex data flow and software compatibility required to develop a functional DT have hindered the exploitation of their full potential so far. The integration of BIM post-construction to BMS and existing automation technologies can also significantly improve current practices of bridge management.

In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

Building Information Modeling (BIM) has emerged as a sophisticated tool for digital transformation in many countries, aiming to improve the quality and efficiency of engineering projects. Engineering supervision is the cornerstone for ensuring project quality and achieving its objectives in terms of time, effort, and cost. The concept of engineering supervision in the Syrian construction sector faces numerous challenges, including the complexity of modern projects, weak digital infrastructure, a shortage of qualified personnel, and reliance on traditional methods of monitoring and documenting work. These challenges have led to a decline in the efficiency of supervision, making it difficult to verify the quality of engineering projects in a timely and optimal manner. This research aims to identify criteria for implementing Building Information Modeling (BIM) in the engineering supervision environment. This was achieved through a review of previous studies on the subject, an analysis of the current state of engineering supervision in Syria, and a review of the literature related to BIM. Twenty-four criteria were identified. These criteria were organized into a suitable questionnaire and distributed to a representative sample of (60) participants from the study population, which consisted of supervising engineers, project managers, and some contracting companies operating in the Syrian construction sector in the public, private, and joint sectors. Fifty-eight questionnaires were returned and statistically analyzed after excluding two due to their ineffectiveness. The Relative Importance Index (RII) method was then used to determine the relative importance of all the criteria included in the questionnaire, with the aim of assessing their significance and comparing them with the degree of application in the engineering supervision environment in Syria. The research results showed a relatively large gap between the importance of Building Information Modeling (BIM) criteria in the engineering supervision environment and the extent of their application in Syria. This is attributed to several reasons, most notably: the lack of reliance on visual inspection to evaluate the quality and progress of work (Application = 12% / Importance = 98.5%), the absence of an immediate link between the site and the model in managing supervision operations (18%/98%), and the failure to use the model as a basis for resolving technical disputes on-site (20%/92%), and other reasons. Several proposals and recommendations were presented to increase the adoption of BIM technologies in the Syrian construction sector in general, and in the engineering supervision environment in particular.

Knowledge Sharing Strategies for Large Complex Building Projects.

PurposeThe purpose of this paper is to develop a solid understanding of how integrated building information modeling (BIM) is implemented in a mega project such as the (Istanbul Grand Airport IGA) construction project, which is the main case study in the research methodology.Design/methodology/approachThe paper examines and identifies the lean efficiency gains achieved in the IGA project and highlights the synergies between BIM and lean concepts based on the facts and figures from the case study analysis. In complex projects, there is a vital need for a comprehensive approach that would enable successful managing of design and construction information via accurate modeling, collaboration and integration throughout the project lifecycles covering various disciplines.FindingsThe research findings in the paper make a significant impact in understanding the strategic perception for BIM as a new way of working methodology for the construction industry in Turkey, since the IGA project has become not only a key learning hub for the Turkish construction industry, but also a global landmark for digital construction and project delivery. In addition it proves the mutual synergies between BIM and lean practices.Originality/valueThe IGA project is a mega-scale airport construction project with features beyond building industry challenges, and it should be designed and constructed with tight deadlines and budgets and be operated afterwards in an effective and efficient way. Can lean and BIM help for timely and on-budget completion of the project and could they support the management of the airport facility after handover? The paper also discusses the lean and BIM implementation in the project in relation to the BIM Level 3 requirements.

The slow adoption of Building Information Modeling (BIM) technology poses significant problems for the construction industry in the Middle East. The root causes of this issue are purported to include a lack of understanding of its benefits and the existence of barriers to its adoption. This study investigates the slow adoption of BIM technology in the Middle East to identify solutions to facilitate BIM adoption and approaches by which stakeholders can transform to utilizing BIM. The main objectives of this research are to: (1) examine the attitudes and readiness of construction stakeholders for BIM, (2) investigate the extent to which there is a lack of understanding of BIM benefits, (3) explore the barriers that hinder BIM adoption, and (4) identify the solutions recommended by the industry experts to promote BIM utilization. The study also compares the viewpoints of designers and contractors to identify potential differences. A questionnaire survey has been devised to gather data from stakeholder firms and experienced BIM professionals. The results revealed that the viewpoints of designers and contractors generally align, except when it comes to recognizing a few benefits such as the generation of accurate and consistent 2D drawings, achieving greater predictability in project time, enhancing communication among project stakeholders, minimizing change orders, and mitigating redesign issues. Similarly, there was a difference in recognizing a few barriers, namely, the lack of skilled personnel and the cost of training existing staff. Furthermore, the analysis led to the conclusion that the most notable advantage of BIM is improved conflict detection, and the most significant barrier is the lack of BIM training. The research culminated in offering recommendations for addressing the industry's BIM-related challenges. These suggestions encompassed raising awareness of BIM as a robust design and construction tool, supporting construction firms for adopting BIM techniques, and identifying methods to streamline the implementation process within these firms.

This paper presents the level of Building Information Modelling (BIM) practices in the current UK construction industries. A survey was undertaken which contains a series of a self-explanatory questionnaire. The survey analysis provides an understanding of the level of BIM in practice and how BIM can be incorporated in the future construction industries from theory to practice. Findings suggest that most big companies are in the process of adopting BIM at some level of practice, while small companies are dropped behind. BIM is also very much depending on the clients’ demand and the project complexity. Overall, the infrastructure construction industry is moving forward in the direction of complete BIM in practice.