This study offers a detailed analysis of building information modelling (BIM) policy and implementation across Europe, significantly contributing to the sector’s digital transformation. By collating data from governmental, academic, and industry sources, it identifies key trends and evaluates the effectiveness of BIM policies in advancing technology within construction. A systematic literature review and text mining across major databases revealed an increasing focus on sustainability, particularly “life cycle assessment” and “energy efficiency”, aligning with the Industry 5.0 initiative. The research shows that 35% of European countries have or plan to introduce BIM mandates, highlighting BIM’s crucial role in enhancing construction practices and influencing policy frameworks. Insights from this study are valuable for researchers, practitioners, and policymakers, guiding the adoption and operationalization of BIM and emphasizing the need for thorough market preparation, including funding, training, and standardization. Additionally, the study suggests a correlation between a country’s economic development and its propensity to enforce BIM mandates. Future research could explore regional policy variations and delve into the theoretical aspects of policy adoption and innovation diffusion to further understand BIM uptake dynamics.

Case studies available in the literature clearly point to the numerous benefits of BIM (Building Information Modeling), in addition to the barriers that participants of such projects may face. This paper is a case study of Employer’s Information Requirements (EIR) for preparing and managing BIM models in the design and construction of selected large public construction projects: the Cogiteon Lesser Poland Science Center (LPSC Cogiteon), the Krakow Music Center (KMC) and the Copernican Revolution Studio (CRS). The paper presents the main aspects included in EIRs. It discusses the technical (e.g., requirements for the Common Data Environment platform—CDE), management (including the scopes of responsibility of staff in charge of BIM) and strategic sections (primary expectations concerning Data Drops) of the EIR. Projects executed using BIM by public institutions allow for the application of insight gained as a result of their completion and the creation of a knowledge base or checklist for future projects. The projects discussed here, carried out using advanced BIM solutions, could potentially be developed further by the proposed content extension concerning levels of detail (this paper cites potential guidelines that can be applied), component elements concerning price and qualifications, so as to easily generate bills of costs, and information used in facility management which can also encourage facility manager cooperation. Examples of EIR provisions are presented based on an analysis of three completed construction projects carried out using advanced BIM solutions. BIM is still a new form of management and this paper expands the range of available EIR standards, in addition to presenting guidelines for their practical application in the construction industry.

This study addresses the challenge of automating the creation of Exchange Information Requirements (EIRs) for construction projects using Building Information Modelling (BIM) and Digital Twins, as specified in the ISO 19650 standard. This paper focuses on automating the classification of EIR paragraphs according to the ISO 19650 standard’s categories, aiming to improve information management in construction projects. It addresses a gap in applying AI to enhance BIM project management, where barriers often include technological limitations, a shortage of specialists, and limited understanding of the methodology. The proposed method uses Word2Vec for text vectorisation and Support Vector Machines (SVMs) with an RBF kernel for text classification, and it attempts to apply Word2Vec with cosine similarity for text generation. The model achieved an average F1 score of 0.7, with predicted categories for provided sentences and similar matches for selected phrases. While the text classification results were promising, further refinement is required for the text generation component. This study concludes that integrating AI tools such as Word2Vec and SVM offers a feasible solution for enhancing EIR creation. However, further development of text generation, particularly using advanced techniques such as GPT, is recommended. These findings contribute to improving managing complex construction projects and advancing digitalization in the AECO sector.

The European Union in the Industry 5,0 proposal encourages technological transformation. ICT Information and Communications Technology, which for the AEC industry are BIM and Digital Twin is appreciated, but also innovative and variable over time. Therefore publications like this, which verify the validity of information are important. Global BIM policy analysis can be valuable for stakeholders of the investment process, policymakers, researchers. The authors performed a scientific analysis on an extensive database of articles (over 20,000) as well as national regulations (in non-English languages). BIM mandatory in public investments depicted on the map, also charts showing other indicators. In Eastern Europe has been observed a small scale (22%) of planned BIM requirements. Czech Republic plans BIM mandate on public investments for project above the EU threshold. The Polish road map proposes MacroBIM for risky or complicated, public investments with budget exceeding EUR 10 million since 2025 and for all since 2025. Comparing with other indicators the Czech Republic and Poland have high GDP per capita and percentage of the industrial sector (including construction) in GDP value added. Poland is classified also as a developed market within the global equity indices. This may have an impact on digital transformation, which is a demanding project due to investment costs. Bulgaria did not include a BIM mandate in its digital transformations plan. Due to the Industry 5,0 and the positive results from case studies of countries that have already applied BIM mandatory introducing BIM requirements in public procurements should be motivated and supported.

The construction industry continues to face significant challenges related to waste on construction sites, significantly impacting cost, timelines, and the quality of project outcomes. This study aims to identify contemporary sources of construction waste, assess their variability over time using data from 2016, 2021, and 2024, and evaluate strategies for their reduction. A mixed-methods approach was adopted, combining a literature review with a survey among Polish construction contractors. A total of 34 waste factors were assessed in terms of frequency and significance. Building Information Modelling (BIM) is recommended—based on both survey results and studies in the literature—as an effective strategy to optimise construction efficiency by reducing waste and supporting sustainability objectives. The analysis also shows increasing awareness and application of Lean Principles and BIM among contractors. By 2024, BIM use increased from 8% in 2016 to 63%, indicating broader recognition, although this recognition was still insufficient given the severity of reported waste. The findings revealed design errors as the most critical source of waste, alongside execution delays, quality defects, damages to completed works, and excessive workloads. Respondents also identified additional factors, including erroneous bid assumptions, unclear investor expectations, unrealistic deadlines, equipment failures, and overdesign. These underscore the need for strategic, technology-driven waste mitigation.

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