Modern Digital Technologies for the Built Environment of the Future

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: 10 March 2025 | Viewed by 949

Special Issue Editor


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Guest Editor
Faculty of Geodesy and Cartography, Warsaw University of Technology, 00-661 Warsaw, Poland
Interests: building information modeling; building information modelling; bim; landscape information modeling; city information modeling; integration BIM-GIS; education

Special Issue Information

Dear Colleagues,

Elements of building, technical, transmission, green, or blue infrastructure are essential to communities and are an important part of surface infrastructure. Thanks to digitization, robotization, and automation, built facilities are becoming more comfortable and sustainable. Designed construction facilities using modern technologies offer an opportunity to achieve the idea of the Digital Twin (DT). As many case studies over the past few decades have shown, the management of such facilities is more effective than traditional analog methods using traditional communication channels. At the same time, the construction of such facilities using modern technologies is faster and more efficient.

This Special Issue will collect articles on a wide range of topics related to existing and new methods of designing, implementing, and managing construction facilities. We encourage you to submit manuscripts in which new technologies have been applied for the design of both building and infrastructure elements (including transmission and green/blue infrastructure). The topic will also include the application of modern technologies: BIM (Building Information Modeling), VR (Virtual Reality), AI (Artificial Intelligence), IoT (Internet of Things), etc. The design, implementation, and management of construction facilities have evolved significantly in recent years with the introduction of innovative sensors, modern data communication systems, or ICT solutions. As a result, innovative approaches to building new broad infrastructure are particularly welcome in this Special Issue. 

Dr. Andrzej Borkowski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly 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 1800 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

  • buildings transmission
  • infrastructure
  • green infrastructure
  • blue infrastructure
  • Digital Twin (DT)
  • BIM (Building Information Modeling)
  • VR (Virtual Reality)
  • AI (Artificial Intelligence)
  • IoT (Internet of Things)
  • management

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Published Papers (1 paper)

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Research

14 pages, 1902 KiB  
Article
Automated Classification of Exchange Information Requirements for Construction Projects Using Word2Vec and SVM
by Ewelina Mitera-Kiełbasa and Krzysztof Zima
Infrastructures 2024, 9(11), 194; https://doi.org/10.3390/infrastructures9110194 - 29 Oct 2024
Viewed by 570
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Modern Digital Technologies for the Built Environment of the Future)
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