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Technology and Organization Applied to Civil Engineering
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Technology and Organization Applied to Civil Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 February 2026 | Viewed by 1842

Special Issue Editors

Dr. Marzena Lendo-Siwicka

E-Mail Website
Guest Editor
Institute of Civil Engineering, Warsaw University of Life Sciences—SGGW, Nowoursynowska 159, 02 776 Warsaw, Poland
Interests: construction project management; costs; scheduling; BIM; technology of construction works
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Roman Trach

E-Mail Website
Guest Editor
Institute of Civil Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
Interests: project delivery; contractors; the construction industry; quality management system
Dr. Grzegorz Wrzesinski

E-Mail Website
Guest Editor Assistant
Institute of Civil Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
Interests: granular materials; sand; strain localization; artificial neural network

Special Issue Information

Dear Colleagues,

Modern construction is not only about impressive-looking buildings but, above all, the intelligent implementation of new technologies, materials, and correct management at every stage of the construction process. From the planning stage to the execution and subsequent maintenance of buildings, modern construction should use innovations to increase efficiency, reduce the impact on the environment, and improve the functionality of buildings. The modern world of construction is witnessing a revolution thanks to technological progress as well as modern management in construction when creating projects and during construction. From design to construction, modern technologies and new trends in construction management offer solutions that make the construction process faster, safer, and more energy efficient. Innovations in the construction industry allow for better standards in a shorter time and for building more durable and economical facilities both during construction and during subsequent maintenance of the facilities.

This Special Issue on “Technology and Organization Applied to Civil Engineering” welcomes submissions of recent research work on this promising area of civil engineering.

Recommended topics include, but are not limited to, the following:

  • The technology of construction works;
  • Management in construction works;
  • The preparation, programming, and planning of construction investments;
  • Modern materials and technologies in construction;
  • The planning and implementation of construction works, including automation and digitization;
  • The operation of building facilities (the management of building properties and maintenance of building resources, including modernization, reconstruction, etc.);
  • Economics in planning, designing, and implementing construction investments;
  • Machine learning in civil engineering;
  • The implementation and development of modern socio-economic concepts in construction projects;
  • Scientific models and methods in research on construction process engineering;
  • Supporting decision making in enterprise and construction project management.

Dr. Marzena Lendo-Siwicka
Prof. Dr. Roman Trach
Guest Editors

Dr. Grzegorz Wrzesinski
Guest Editor Assistant

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • civil engineering
  • technology in civil engineering
  • economics in civil engineering
  • management in civil engineering
  • construction works
  • construction projects
  • the operation of building facilities
  • machine learning

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

24 pages, 2596 KB  
Article
Improving Segmentation Accuracy for Asphalt Pavement Cracks via Integrated Probability Maps
by Roman Trach, Volodymyr Tyvoniuk and Yuliia Trach
Appl. Sci. 2025, 15(18), 9865; https://doi.org/10.3390/app15189865 - 9 Sep 2025
Viewed by 161
Abstract
Asphalt crack segmentation is essential for preventive maintenance but is sensitive to noise, viewpoint, and illumination. This study evaluates a minimally invasive strategy that augments standard RGB input with an auxiliary fourth channel—a crack-probability map generated by a multi-scale ensemble of classifiers—and injects [...] Read more.
Asphalt crack segmentation is essential for preventive maintenance but is sensitive to noise, viewpoint, and illumination. This study evaluates a minimally invasive strategy that augments standard RGB input with an auxiliary fourth channel—a crack-probability map generated by a multi-scale ensemble of classifiers—and injects it into segmentation backbones. Field imagery from unmanned aerial vehicles and action cameras was used to train and compare U-Net, ENet, HRNet, and DeepLabV3+ under unified settings; the probability map was produced by an ensemble of lightweight convolutional neural networks (CNNs). Across models, the four-channel configuration improved performance over three-channel baselines; for DeepLabV3+, the Intersection over Union (IoU) increased by 6.41%. Transformer-based classifiers, despite strong accuracy, proved less effective and slower than lightweight CNNs for probability-map generation; the final ensemble processed images in approximately 0.63 s each. Integrating ensemble-derived probability maps yielded consistent gains, with the best four-channel CNNs surpassing YOLO11x-seg and Transformer baselines while remaining practical. This study presents a systematic evaluation showing that probability maps from classifier ensembles can serve as an auxiliary channel to improve segmentation of asphalt pavement cracks, providing a novel modular complement or alternative to attention mechanisms. The findings demonstrate a practical and effective strategy for enhancing automated pavement monitoring. Full article
(This article belongs to the Special Issue Technology and Organization Applied to Civil Engineering)
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21 pages, 2319 KB  
Article
Analysis of Employees’ Visual Perception During Training in the Field of Occupational Safety in Construction
by Wojciech Drozd and Marcin Kowalik
Appl. Sci. 2025, 15(17), 9323; https://doi.org/10.3390/app15179323 - 25 Aug 2025
Viewed by 611
Abstract
The article presents the results of research on improving construction safety using the eye tracking method. The analysis was carried out during training in the field of construction safety. Eye tracker allows for analysis of the way in which training participants process visual [...] Read more.
The article presents the results of research on improving construction safety using the eye tracking method. The analysis was carried out during training in the field of construction safety. Eye tracker allows for analysis of the way in which training participants process visual information and elements that attract their attention and the effectiveness of learning the principles of work safety. Eye tracking studies, in the aspect of construction safety, determine the effectiveness of training in this area. Moreover, the main advantage of such studies lies in the possibility of identifying elements of the construction site that are omitted or misunderstood by training participants, and which are important from the point of view of safe implementation of construction works. The study found that employees achieved the highest level of error detection (70%), with a shorter fixation time (240 ms), suggesting the role of experience and cognitive automation. Post-trained students demonstrated the longest fixation time (350 ms) and moderate error detection (35%), suggesting greater cognitive engagement but lower efficiency than experts. Students without training achieved the lowest results (30% detection, 200 ms FT), which is related to a lack of knowledge and experience. ANOVA confirmed statistically significant differences between groups in fixation time (F(3,36) = 244.83; p < 0.0001), with a high confidence level (>99.99%). Tukey’s post hoc test indicated significant differences between untrained and post-trained students and between post-trained students and employees (p < 0.001), underscoring the importance of both training and professional practice. Full article
(This article belongs to the Special Issue Technology and Organization Applied to Civil Engineering)
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19 pages, 4448 KB  
Article
Updating Financial Contingency in Execution of Typologically Diverse Construction Projects
by Tomasz Stachoń, Mariusz Szóstak and Jarosław Konior
Appl. Sci. 2025, 15(8), 4445; https://doi.org/10.3390/app15084445 - 17 Apr 2025
Viewed by 487
Abstract
The article presents research findings on updating financial contingency estimates for typologically diverse construction projects. The research was carried out from 2006 to 2024 on a sample of 41 investment tasks, represented by five different construction sectors, in which 547 measurements were made [...] Read more.
The article presents research findings on updating financial contingency estimates for typologically diverse construction projects. The research was carried out from 2006 to 2024 on a sample of 41 investment tasks, represented by five different construction sectors, in which 547 measurements were made of the deviation of the earned cost of construction works from its planned values. The study found significant variability in the cost performance index (CPI) across different construction types. Box plots were determined, and their statistical interpretation made it possible to determine the actual financial contingency, the variation in which in the groups of residential, office and hotel buildings, as well as shopping and logistics centres, is in the range of 3% to 30%. The article concludes with recommendations for banks financing investment tasks in the direction of making financial contingency more realistic when making sustainable lending decisions. Full article
(This article belongs to the Special Issue Technology and Organization Applied to Civil Engineering)
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