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Infrastructures
Special Issues
Modern Digital Technologies for the Built Environment of the Future
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Modern Digital Technologies for the Built Environment of the Future

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1995

Special Issue Editor

Dr. Andrzej Borkowski

E-Mail Website
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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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 9282 KiB  
Article
Parametric Analysis as a Tool for Hypothesis Generation: A Case Study of the Federal Archive Building in New York City
by Mike Christenson
Infrastructures 2025, 10(4), 71; https://doi.org/10.3390/infrastructures10040071 - 24 Mar 2025
Viewed by 161
Abstract
This study investigates the epistemological potentials of parametric analysis for digitally modeling ordinary, existing buildings, addressing a gap in architectural research. While traditional digital modeling prioritizes geometric accuracy, it often limits the ability to generate new architectural insights, treating models as static representations [...] Read more.
This study investigates the epistemological potentials of parametric analysis for digitally modeling ordinary, existing buildings, addressing a gap in architectural research. While traditional digital modeling prioritizes geometric accuracy, it often limits the ability to generate new architectural insights, treating models as static representations rather than as tools for knowledge production. This research challenges the assumption that geometric accuracy is necessary for epistemological validity, proposing parametric analysis as a hypothesis-generating tool capable of uncovering latent spatial and morphological properties that conventional methods overlook. Using Suárez’s inferential conception of scientific representation as a theoretical framework, this research employs a comparative case study methodology, contrasting direct and parametric digital models of the Federal Archive Building in New York City, analyzing their respective contributions to architectural knowledge. Existing documentation of the Federal Archive Building provides the primary data. The findings reveal that parametric modeling can enable the discovery of latent design properties by facilitating the systematic exploration of geometric variations while maintaining other logics, specifically by demonstrating how certain architectural features accommodate site irregularities while preserving visual coherence. This research advances theoretical discourse by repositioning parametric models from descriptive artifacts to instruments of architectural reasoning, challenging conventional associations between representational accuracy and epistemological validity. Practical applications are suggested in heritage documentation, comparative architectural analysis, and educational contexts where the interpretive exploration of buildings can generate new insights beyond what geometrically accurate models alone can provide. Full article
(This article belongs to the Special Issue Modern Digital Technologies for the Built Environment of the Future)
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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
Cited by 3 | Viewed by 1216
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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