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        <title>Frontiers in Built Environment | Building Information Modelling (BIM) section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/built-environment/sections/building-information-modelling-bim</link>
        <description>RSS Feed for Building Information Modelling (BIM) section in the Frontiers in Built Environment journal | New and Recent Articles</description>
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        <pubDate>2026-05-13T22:52:38.244+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1814765</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1814765</link>
        <title><![CDATA[Research into a BIM-based transparency and trust mechanism for the Irish construction supply chain: a pathway to systemic delivery]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Geni Zhang</author><author>Seong Mok Paik</author>
        <description><![CDATA[IntroductionLarge-scale public infrastructure projects in Ireland consistently face cost overruns and delivery delays, yet research has not fully clarified how digital systems function as governance mechanisms rather than mere coordination tools. This study examines how BIM, within a broader Industry 4.0 and digital governance context, influences project delivery by shaping information transparency and cross-organizational trust.MethodsThis study adopts a qualitative comparative case study of the National Children’s Hospital and MetroLink projects, supported by systematic content analysis of publicly available project documents, government reports, audit materials, and parliamentary records. The analysis compares different levels of institutional embedding of BIM across the two cases.ResultsThe findings indicate that BIM does not automatically improve project outcomes. Its value is realized only when project information is embedded into contractual rules, access rights, audit trails, and accountability mechanisms, ensuring that information is authoritative and verifiable across organizations. Where institutional embedding is weak, transparency remains fragmented, leading to interpretive conflicts and unstable performance. Conversely, stronger embedding fosters stable expectations, coherent governance, and reduced downstream risks.DiscussionThis research contributes by conceptualizing BIM/CDE as governance infrastructure, framing transparency as an institutional outcome rather than mere information visibility, and showing how institutionalized transparency supports trust and systemic delivery.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1795619</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1795619</link>
        <title><![CDATA[Building information modelling in developing countries: a scientometric, thematic, and research gap analysis]]></title>
        <pubdate>2026-04-22T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Mohammad Alhusban</author>
        <description><![CDATA[Building information modelling (BIM) innovation has gained significant traction worldwide in the construction industry. Although BIM has become a popular trend in developing countries, its adoption remains low compared to developed countries and is perceived as being unequal in the construction industry worldwide. Despite the increased number of conducted empirical studies examining BIM adoption, barriers and applications in various developing countries, there is still a lack of integrated, analytically rigorous synthesis mapping the intellectual structure, theoretical foundations and knowledge gaps in the field. This gap is addressed by this study through conducting comprehensive scientometric, thematic, and research gap analysis of BIM research in developing countries. Drawing on Ninety-Eight peer-reviewed journal articles indexed in Scopus, this study has systematically mapping co-citation networks, keyword co-occurrence patterns, bibliographic coupling relationships, and thematic clusters. The results identified four dominant knowledge domains: (1) BIM adoption and implementation, (2) implementation barriers, (3) BIM processes and construction management integration, and (4) BIM for sustainable construction. The results was interpreted through Technology–Organisation–Environment (TOE) framework and institutional theory finding that in developing countries, BIM adoption is more embraced by organisational readiness, regulatory structures, procurement systems, and institutional pressures rather than technological capability. Furthermore, the study exposes three structural limitations in the current body of knowledge: limitations of cross-country comparative analysis, over-reliance on perception-based survey studies and insufficient empirical validation of claimed BIM benefits. Therefore, this review using synthesizing intellectual patterns and systematically identifying conceptual, methodological, and contextual gaps, has reframed the BIM adoption and implementation in developing country as institutional and socio-technical transformation. Lastly, a consolidated conceptual framework has been contributed by this study linking current research problems and limitations with recommended future directions for BIM implementation in developing countries, offering a roadmap for researchers, policymakers and industry stakeholders seeking context based scalable BIM adoption and implementation strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2026.1748837</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2026.1748837</link>
        <title><![CDATA[Enhancing resilience through environmental data integration in early construction planning: a cloud-based framework]]></title>
        <pubdate>2026-03-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nidhal Al-Sadoon</author><author>Raimar J. Scherer</author><author>Karsten Menzel</author>
        <description><![CDATA[Environmental constraints relevant to construction planning—such as protected areas, hazard zones, and regulatory requirements—are typically fragmented across geospatial services, regulatory documents, and expert reports, and are rarely integrated systematically into BIM-based workflows during early design stages. Existing BIM–environmental data integrations and ICDD-based solutions primarily rely on static model exchanges or manually maintained links, which become outdated as designs and environmental inputs evolve. This limits traceability, increases rework, and undermines proactive, regulation-compliant planning. This paper presents a cloud-based dynamic multimodel framework that addresses this gap by enabling version-aware semantic linking between BIM models, environmental datasets, and regulatory documents within an ISO 21597-compliant information container. The fundamental contribution lies not in combining BIM and environmental data per se, but in automating the maintenance, validation, and propagation of semantic links across document versions, without manual reconstruction of linksets as planning iterations occur. This is achieved through an ontology-driven extension of the ICDD container that explicitly models document versions, identifiers, and link semantics. The framework is validated through an illustrative environmental planning use case implemented within the iECO project, involving multiple BIM versions, regulatory planning documents, and externally referenced geospatial datasets. Evaluation results show that semantic links were preserved or correctly invalidated with 100% link update accuracy across three BIM revisions, while automated link propagation reduced update time from approximately 40.66 min (manual linking) to 5.5 s for the same set of links. Query results remained consistent across versions, demonstrating stable traceability under iterative planning conditions. These findings demonstrate that the proposed framework moves beyond static BIM–GIS and conventional ICDD workflows by providing a technically robust mechanism for managing data evolution in early construction planning. The approach supports transparent, auditable, and regulation-oriented integration of environmental information and establishes a foundation for future extensions toward automated reasoning, real-time sensor integration, AI-assisted validation, and digital twin applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1715347</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1715347</link>
        <title><![CDATA[Integrating thermal point clouds into BIM-GIS environments: workflow proposal for multi-layer digital twins]]></title>
        <pubdate>2026-01-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Amanda Ramón-Constantí</author><author>Francisco Javier Castilla Pascual</author><author>Borja Garcia de Soto</author><author>Antonio Adán-Oliver</author>
        <description><![CDATA[IntroductionThe integration of Thermal Point Clouds (TPCs) into professional Building Information Models (BIM) and Geographic Information System (GIS) workflows is currently hampered by a lack of established methodologies and significant format interoperability challenges. This study addresses this methodological gap by developing and testing integration processes for both BIM and GIS platforms.MethodsTwo proofs of concept were developed using data from a commercial scanner at the New York University Abu Dhabi (NYUAD) campus. For BIM integration, a process was designed to generate open Industry Foundation Classes (IFC) files where average surface temperatures are embedded as native properties of architectural elements. For GIS integration, thermal data was assigned as custom attributes to a manually generated 3D geometric reference model, establishing the preliminary steps for a dedicated thermal-GIS workflow.ResultsThe methodologies were successfully validated through visualization in ArcGIS Pro and ACCA Software GeoTwin. The results demonstrate a tangible path to overcoming current format limitations, enabling the creation of multi-layer thermal digital twins.DiscussionThis approach makes complex thermal data more accessible to Architecture, Engineering, Construction, and Operation (AECO) professionals. By providing a structured workflow for interoperability, the study facilitates improved building management and more accurate energy analysis through the use of integrated thermal digital models.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1720481</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1720481</link>
        <title><![CDATA[Digital transformation through multi-device HBIM workflow: a case study on supporting the adaptive reuse of the Odd Fellows Building in Atlanta, Georgia]]></title>
        <pubdate>2026-01-06T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Botao Li</author><author>Danielle S. Willkens</author>
        <description><![CDATA[This paper presents a multi-device scan-to-HBIM workflow developed for the adaptive reuse of the Odd Fellows Building (b.1911), a socially significant historic landmark with seven stories above ground and a basement, located in Atlanta’s Sweet Auburn National Historic Landmark District. As a major contributing structure within the culturally significant corridor, the building’s adaptive reuse demands precise documentation, rapid data collection, and efficient stakeholder communication. To meet these goals within strict time and funding limits, the research integrates Terrestrial Laser Scanning (TLS), Matterport 360-camera technology, and Unmanned Aerial Vehicles (UAVs) to create an efficient and accessible pipeline for documenting historic buildings, assisting with renovation and construction processes. TLS is employed as a benchmark capture method to establish a baseline point cloud for aligning all other data. Matterport technology enables fast interior scanning while providing high-resolution visuals and an interactive virtual tour platform. UAVs are deployed to supplement data collection in hard-to-access exterior areas, especially where ground-based reality capture tools encounter spatial or logistical barriers. This not only accelerates data acquisition under time and budget constraints but also offers stakeholders the ability to remotely revisit the space without geographic limitation. This multi-device strategy optimizes the trade-off between capture speed and spatial tolerance, accommodating a complex mix of preserved historic elements (exterior and lobby space) and altered upper floors. Besides, a full TLS capture approach could cause potential data saturation and processing inefficiencies. The multi-device approach has multiple data processed registered to provide one combined point cloud, which is integrated into a semantically rich HBIM model developed in Autodesk Revit at Level of Development (LoD) 300. Although not a full Digital Twin (DT), the resulting model establishes a foundational framework for future digital twinning and immersive applications. By demonstrating how different reality capture technologies can be effectively integrated to accommodate site limitations, stakeholder needs, and funding constraints, this case study contributes to the broader discourse on digital transformation in construction, particularly the evolving intersection of BIM, remote visualization, and the early stages of DT development in the preservation sector.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1685353</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1685353</link>
        <title><![CDATA[A critical review of BIM adoption in public infrastructure projects: global trends and lessons for South Africa]]></title>
        <pubdate>2025-11-25T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Peter China Mashinini</author><author>Jeffrey Mahachi</author><author>Trynos Gumbo</author><author>Thulisile Ncamsile Mphambukeli</author>
        <description><![CDATA[PurposeThis review interrogates global Building Information Modelling (BIM) uptake in public-infrastructure programmes to distil evidence-based lessons and policy levers relevant to South Africa’s Public–Private Partnership (PPP) pipeline.FindingsStatutory mandates aligned to ISO 19650, ministerial steering bodies and open-standard deliverables consistently accelerate BIM diffusion and generate cost-accuracy improvements of 5%–10%, carbon savings of 15%–20% and dispute reductions of up to 40%. Conversely, voluntarist policies, SME skills gaps and fragile digital infrastructure fragment value chains. South Africa exhibits all three weaknesses: only 15% of firms produce federated models, and no Treasury directive hard-codes IFC deliverables. Evidence indicates that regional BIM labs, grading-linked competence requirements and incentive-weighted procurement can close these gaps.Research limitations/implicationsThe study relies on published cases, grey literature and proprietary project data were excluded, potentially understating undocumented innovations. Future mixed-methods research on live South African PPPs is required to quantify policy impact.Practical implicationsRecommendations include amending the PPP Manual to mandate ISO 19650/IFC models, establishing a Treasury-funded Digital Infrastructure Skills Fund, and integrating BIM metrics into CIDB grading and payment schedules.Originality/valueThe paper synthesises heterogeneous global evidence into a coherent maturity framework and offers the first targeted, policy-ready road-map for BIM diffusion in South Africa’s infrastructure sector.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1693644</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1693644</link>
        <title><![CDATA[Strategies for bridge maintenance using BIM: an analysis of methodologies and tools]]></title>
        <pubdate>2025-10-17T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Emilio Medrano-Sanchez</author><author>Erwin Martos</author>
        <description><![CDATA[Ageing bridge stocks and rising traffic loads in Latin America and worldwide demand cost-effective maintenance strategies. Building Information Modelling (BIM) and its convergence with digital-twin, IoT and AI techniques have shown promise, yet their adoption for bridge upkeep remains fragmentary. This review aimed to (i) synthesise current scientific evidence on BIM-based bridge maintenance, (ii) classify methodologies and tools through a domain taxonomy, and (iii) identify research gaps that hinder large-scale implementation. A PRISMA-guided systematic literature review was conducted in Scopus and Web of Science (search cut-off = 1 February 2024). Inclusion criteria targeted peer-reviewed, open-access studies (2020–2024) that applied BIM to the maintenance of existing bridges. Twenty-five articles met the criteria and were appraised with Mixed-Methods Appraisal Tool (MMAT 2018). Seven dominant research themes were identified, with damage visualization (7 studies) and 3-D geometric modelling (6) being the most frequent, followed by information exchange/management (4). Specifically, LiDAR and photogrammetry enabled sub-centimetre models; Convolutional Neural Networks (CNN) and You Only Look Once (YOLO) algorithms reached mean average precision up to 0.91 for crack detection. Digital-twin workflows reduced operating costs while requiring higher upfront investment. A seven-domain taxonomy and a cost–technology comparison table is proposed. Key barriers reported include IFC 4.3 interoperability, high LiDAR costs (>10% of annual budgets), limited visual-programming skills, and cybersecurity concerns in cloud-IoT integrations. BIM supports preventive, data-driven bridge maintenance and has been linked to lower operating costs in several studies; mainstream adoption requires IFC 4.3 based interoperability, targeted training, and open-standard workflows. Future research should focus on standardised performance metrics, edge-AI monitoring and blockchain-secured data exchange.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1634162</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1634162</link>
        <title><![CDATA[Smart building assessments: optimizing SRI calculation using a BIM-based data exchange framework]]></title>
        <pubdate>2025-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Maurizio Calandri</author><author>Louis Tafelmaier</author><author>Torben Rathje</author><author>Michael Müller</author><author>Tobias Henzler</author><author>Konstantinos Stergiaropoulos</author><author>Michael Kramp</author><author>Andreas Glatz</author>
        <description><![CDATA[Insufficient data availability, limited calculation tools and subjective decisions by experts lead to ambiguous results when determining the Smart Readiness Indicator of a building. Moreover, it is not an integral part of the planning process. Therefore, this study presents a consistent and process-oriented planning and calculation approach. The methodology consists of the combination and exchange of information between building information modeling, labeling system, and data exchange format. It provides a consistent, seamless flow of information throughout integrated planning. This enables an automatic calculation of the planned Smart Readiness Indicator based on a floor-related functionality assessment, as proved using a mock-up. In addition, it provides a clear categorization of the necessary information for the planned components, which can be used for the verification process. Overall, this leads to a significant reduction in the time and effort required for smart building assessments while also increasing their consistency of evaluation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1624950</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1624950</link>
        <title><![CDATA[Correction: Semantic and ontology-based analysis of regulatory documents for construction industry digitalization]]></title>
        <pubdate>2025-06-09T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Zarina Kabzhan</author><author>Alexandr Shakhnovich</author><author>Sergey Gorshkov</author><author>Yussuf Yemenov</author><author>Fedor Gorshkov</author><author>Nazym Shogelova</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1575913</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1575913</link>
        <title><![CDATA[Semantic and ontology-based analysis of regulatory documents for construction industry digitalization]]></title>
        <pubdate>2025-04-28T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Zarina Kabzhan</author><author>Alexandr Shakhnovich</author><author>Sergey Gorshkov</author><author>Yussuf Yemenov</author><author>Fedor Gorshkov</author><author>Nazym Shogelova</author>
        <description><![CDATA[In the context of the digitalization of the construction industry, the demand for automation in the analysis of regulatory documents is increasing. The significant volume, structural complexity, and frequent amendments of regulatory acts lead to semantic inconsistencies, duplication of provisions, and contradictions in requirements. The aim of this study is to develop a method for the automated analysis of regulatory documents in the construction sector based on the integration of ontological modeling and natural language processing (NLP) techniques. The relevance of the topic is driven by the need for the digital transformation of construction standardization, which involves eliminating redundant provisions, logical inconsistencies, and outdated references in the regulatory framework. The study proposes a methodology for constructing semantic “profiles” of regulatory statements, which include structured components: subject, predicate, object, modality, and additional conditions. A software prototype has been developed, implementing an algorithm for semantic matching of regulatory requirements using an ontological model that incorporates SKOS-based terminology, deontic logic, and domain-specific concepts of the construction sector. Experiments were conducted on a corpus of 14 regulatory documents of the Republic of Kazakhstan (≈242,000 words), demonstrating high computational efficiency (document analysis time <10 s) and acceptable quality metrics (F1-score up to 0.86). The results confirm the applicability of the proposed method for integration into automated regulatory compliance control systems and Building Information Modeling (BIM).]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1366668</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1366668</link>
        <title><![CDATA[BIM for energy certification in AEC industry: bibliometric analysis of four certificate cases]]></title>
        <pubdate>2025-04-23T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Khalil Idrissi Gartoumi</author><author>Hassan Radoine</author><author>Laila El Ghazouani</author>
        <description><![CDATA[The Architecture, Engineering, and Construction (AEC) industry is widely acknowledged for its substantial impact on energy consumption. Building Information Modeling (BIM), as a promising avenue to address the imperative of reducing energy consumption has been explored with sustainability frameworks but in specific areas, especially in its 6th dimension. Despite its potential, the literature shows that the connection between BIM and various environmental standards and certifications remains one of the least explored and utilized aspects. This study aims to identify commonalities in the application of BIM and environmental certifications, shedding light on both academic and practical gaps in the environmental management of buildings. To achieve this, a bibliometric literature review is conducted. Given the limited number of previous reviews, this study provides updated and original insights, serving as a foundational resource for future investigations into automated energy requirements. The research results reveal the four most widely adopted certifications, offering a substantial contribution to both the scientific community and AEC industry practitioners. The study provides a comprehensive and in-depth understanding of the current state of the link between BIM and Green Building Certifications (GBCs). Despite the restriction on the databases selected and focusing on the most common certifications, this study gives insight into the use of BIM with a certification that can be efficient when used in conjunction with another to better optimize environmental impact throughout the life cycle. Moreover, it underscores the low rate of automation in GBCs credits and requirements, emphasizing the necessity to incorporate new technologies like the Internet of Things (IoT) and blockchain into the field.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2025.1523464</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2025.1523464</link>
        <title><![CDATA[Sustainable innovations in digital twin technology: a systematic review about energy efficiency and indoor environment quality in built environment]]></title>
        <pubdate>2025-03-13T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Natakarani Venkateswarlu</author><author>Mahenthiran Sathiyamoorthy</author>
        <description><![CDATA[In the contemporary digital age, the built environment undergoes significant changes because of technological innovations that improve building management, optimize building efficiency, and enhance overall productivity. Digital Twin technology has emerged as an indispensable tool for enhancing indoor environmental quality and optimizing energy efficiency in existing buildings. This demonstrates its similarity to several SDGs, where digital twin technology is key to achieving many of them, especially those relevant to our research: 7. Affordable and clean energy; 3. Good health and wellbeing are the primary outcomes of our study; 9. Industry innovation and infrastructure are the focus of our methodology; and 11. Sustainable cities and communication, to which our research contributes. However, some challenges require further consideration. First, to assess the methods and tools used to monitor and represent environmental parameters. Second, to review previous studies on Digital Twin technology in the context of energy efficiency and indoor environmental quality. This study systematically examined 261 academic articles to address these challenges, identifying 17 relevant publications investigating Digital Twin for enhancing energy efficiency and indoor environmental quality in buildings. The research emphasizes Building Information Modeling, Internet of Things, and Big Data, which collectively improve the monitoring and management of physical assets through real-time data replication. Our research illustrates the need for a multidisciplinary framework to rigorously analyze Digital Twin applications, as a comprehensive understanding of the consequences of this technology requires the integration of different fields. The review emphasizes the confined application of sensors for monitoring the environment, the importance of residents subjective impressions, and the need for further comparative studies on energy use estimation methods. For future investigation, enhanced international collaboration is imperative to improve the scholarly exploration of Digital Twin related to this field. Finally, the built environment can benefit significantly from implementing Digital Twin technology. However, the challenges must be addressed before technology can achieve its full potential for creating sustainable and energy-efficient buildings.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1502941</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1502941</link>
        <title><![CDATA[Advancing hybrid ventilation in hot climates: a review of current research and limitations]]></title>
        <pubdate>2025-01-06T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Sheikha Al Niyadi</author><author>Mohamed H. Elnabawi Mahgoub</author>
        <description><![CDATA[IntroductionHybrid ventilation systems present a promising solution for reducing cooling energy consumption in buildings, particularly in hot climates. However, while existing research highlights their potential, variability in reported cooling energy reductions underscores the need for standardized performance evaluation methods.MethodsThis review synthesizes findings from 84 research articles published between 2010 and the first quarter of 2024. The studies include simulation-based analyses, experimental investigations, and real-world case studies sourced from prominent academic databases.ResultsThe review identifies substantial potential for cooling energy reductions through hybrid ventilation systems. However, it also reveals significant variability in energy savings across studies, suggesting that further work is needed to standardize reporting methods for accurate performance comparisons.DiscussionTo address these challenges, this paper proposes a framework integrating Industry 4.0 technologies. The framework emphasizes standardized research methodologies, context-specific design considerations, and robust knowledge dissemination strategies. Artificial Intelligence (AI) is positioned as a critical enabler of innovation, driving design optimization and smart control systems. The proposed framework aims to improve performance assessments, tailor system designs to specific building types and climates, and enable real-time control for enhanced energy efficiency and occupant comfort. This approach has the potential to support the wider adoption and optimized implementation of hybrid ventilation systems, contributing to a more sustainable and energy-efficient built environment, particularly in hot climates.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1452764</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1452764</link>
        <title><![CDATA[Development of BIM learning model for construction sites operatives]]></title>
        <pubdate>2024-12-11T00:00:00Z</pubdate>
        <category>Hypothesis and Theory</category>
        <author>Oluseye Olugboyega</author><author>Okunlola Stephen Ojo</author><author>Abiodun Emmanuel Olanipekun</author>
        <description><![CDATA[The highest level of BIM adoption is the utilization of BIM by construction site operatives who are knowledgeable and skilled in BIM. Furthermore, the full benefits of BIM cannot be achieved without construction site operatives that are knowledgeable and proficient in BIM. Despite the creation of educational models for BIM training by colleges targeting construction professionals, there is currently no specific BIM learning model for construction site operatives. The aim of this research is to develop a BIM learning model to assist construction site operatives in their BIM transformation. The study employed a positivist philosophical research design, which required the use of a quantitative technique. The BIM learning model for construction site operatives was developed by using the SAMR (substitution, augmentation, modification, and redefinition) model, Bloom’s digital taxonomy, social learning theory, and design thinking theory. The hypotheses derived from the model were analyzed using structural equation modeling. The study findings indicate that the learning standards for BIM tools, BIM technologies, and BIM skills will enable construction site operatives to effectively utilize BIM tools. The most crucial factor in learning standards for BIM tools is the implementation of substantial BIM tools to modify work processes. The findings also indicated that engaging in professional role-play and interactive assignments had the greatest influence on learning results. The research asserts that the model’s implementation will improve performance and efficiency on construction sites by providing construction site operatives with the necessary abilities to proficiently utilize BIM technologies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1486423</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1486423</link>
        <title><![CDATA[Transitioning from BIM to Digital Twin to Metaverse]]></title>
        <pubdate>2024-12-05T00:00:00Z</pubdate>
        <category>Opinion</category>
        <author>Ehsan Noroozinejad Farsangi</author><author>Alaa O. Shehata</author><author>Maria Rashidi</author><author>Nargess Ghassempour</author><author>Seyedali Mirjalili</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1474032</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1474032</link>
        <title><![CDATA[Building information modeling: implementation challenges in the Malawian construction industry]]></title>
        <pubdate>2024-11-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Melusi Ndwandwe</author><author>Witness Kuotcha</author><author>Theresa Mkandawire</author>
        <description><![CDATA[Building information modelling is making waves in the global built environment, improving the architecture engineering and construction industry in many aspects. However, in Malawi, it is neither widely adopted nor well-researched. Therefore, this study aimed to identify and analyse the challenges of BIM implementation in Malawi. A quantitative methodology was used, collecting 189 questionnaires. Descriptive analysis (mean item score), one-sample t-test, and factor analysis were used to analyse the data. The descriptive analysis revealed differences in ranking the 20 BIM challenge factors among various groups, yet no statistically significant variances were found among them; all the challenges were deemed critical. However, the results of the one-sample t-test indicated statistically significant differences in 13 of the 20 challenges, including issues with expertise, experience, integrating multiple software, understanding BIM potential, implementation methods, change adaptation, legislative guidelines, high implementation costs, awareness, integration to traditional techniques, procurement procedures, and strategic vision for implementation. Thus, through factor analysis, the study divided the 20 BIM implementation challenges into three categories: BIM integration, collaborative workflow, and technical adaptability challenges. These findings would increase BIM awareness, best practices and solutions, collaboration and communication, training and education, and industry BIM adoption. The study further contributes to the body of knowledge by providing structured challenges for BIM implementation, filling the knowledge gap about BIM challenges in the Malawian construction industry.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1355498</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1355498</link>
        <title><![CDATA[Data redundancy of blockchain systems in construction projects]]></title>
        <pubdate>2024-07-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Weisheng Lu</author><author>Liupengfei Wu</author><author>Chen Chen</author>
        <description><![CDATA[Industrial stakeholders have complained that current blockchain systems are too expensive, particularly in temporary endeavours like construction projects. However, while researchers have examined blockchain system structure among inter-firm organizations in construction, little research has considered the data redundancy of these systems. This research, therefore, provides insight by modelling data redundancy in construction project blockchain systems. We conduct a series of laboratory experiments on a Hyperledger Fabric blockchain system, discovering that the data volume of a blockchain system grows proportionally with the size of the files to be uploaded, the number of peer nodes in the network, and the frequency of blockchain operations in construction, regardless of the block size or how the peers are dispersed in different construction organizations. Beyond identifying the factors that determine data redundancy of a blockchain system, this research provides a basis for researchers to explore the optimization of blockchain storage and the impacts of blockchain system data redundancy in construction projects. In practical terms, the proposed data redundancy model in this research provides a reference for users in construction who aim to build blockchain systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1405182</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1405182</link>
        <title><![CDATA[Optimizing office building operations: a framework for continuous dynamic energy simulations in decision-making for efficiency]]></title>
        <pubdate>2024-05-30T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Anatolijs Borodinecs</author><author>Arturs Palcikovskis</author><author>Andris Krumins</author><author>Kristina Lebedeva</author>
        <description><![CDATA[Digital twins represent a promising approach for sustainable building operations and management in the context of the carbon neutrality goals of the European Union (EU). Using OpenStudio, an opensource platform for building energy modeling, we demonstrated the creation and editing of building digital twins. OpenStudio provides a user-friendly interface and extensive simulation capabilities, allowing detailed and accurate modeling of building components and systems. Using OpenStudio Measures, users can automate tasks and customize simulation models to optimize the building performance. The process of creating a building digital twin involves collecting historical data and accurately representing the building geometry; materials; schedules; and heating, ventilation, and air conditioning (HVAC) systems. Challenges such as data availability and model accuracy highlight the importance of modeling practices. Editing the digital twin involves modifying the OpenStudio model files and EnergyPlus weather files to simulate different building operation scenarios. Python programming language opportunities were considered for digital twin file modification. The potential of digital twins lies in their ability to simulate future building conditions and optimize building system settings. By integrating digital twins with machine learning algorithms and connecting them directly to building management systems, optimal building control strategies can be automated, thereby reducing energy consumption and improving occupant comfort levels.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1381813</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1381813</link>
        <title><![CDATA[Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights]]></title>
        <pubdate>2024-04-10T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Hao Wu</author><author>Ruimin Nie</author><author>Xu Zeng</author><author>Chuanjie Cheng</author><author>Jing Pan</author><author>Daguang Han</author><author>Haidar Hosamo</author>
        <description><![CDATA[This research paper explores the integration of novel technologies in hospital emergency evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It examines the application of advanced tools like simulation modeling, Building Information Modeling (BIM), Digital Twin technology, sensor data, and Artificial Intelligence (AI) to improve evacuation strategies in the building. The study extends to in-depth case studies for assessing the practicality of existing protocols, while also highlighting the critical importance of staff training and preparedness. Additionally, it addresses the ethical and psychological impacts of emergencies on patients and healthcare staff, underscoring the need for technology to be complemented with human-centered care. The paper concludes by emphasizing the ongoing necessity for innovative research in enhancing safety and operational resilience in healthcare emergency management.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fbuil.2024.1347451</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fbuil.2024.1347451</link>
        <title><![CDATA[Showcasing a digital twin for higher educational buildings: developing the concept toward human centricity]]></title>
        <pubdate>2024-02-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Katarina Bäcklund</author><author>Per Lundqvist</author><author>Marco Molinari</author>
        <description><![CDATA[Digital twin technology is an emerging technology within the built environment. Yet, there are many unexplored opportunities to utilize digital twins for facilitating the transformation toward a climate-neutral building stock while also meeting the expectations from the building occupants. This article presents a case study of a digital twin, developed for an existing commercial building stock of campus areas in Sweden. The overarching purpose of the digital twin is to support both building occupants and building operators. This two-fold human-centric approach represents a novel approach for building digital twins. The digital twin is based on 3D scanning, and together with geospatial data, a real-like navigational indoor environment is created. Three innovative features are presented: the building analysis module, the digital twin mobile application, and the building operations module. The results show that the digital twin improves the building occupant’s experience by supporting navigation and providing access to the room booking system via this dedicated interface. Building management is also benefited by the digital twin through easier access to building data aggregated into one platform and a state-of-the-art analysis tool for optimizing the use of indoor space. The digital twin holds future potential to achieve operational excellence by incorporating feedback mechanisms and utilizing artificial intelligence to enable intelligent fault detection and prevention.]]></description>
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