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Current Technological, Methodological, and Organizational Research Trends in the Construction Industry, Third Edition

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 5721

Special Issue Editor

Prof. Dr. Bożena Hoła

E-Mail Website
Guest Editor
Department of Materials Engineering and Construction Processes, Faculty of Civil Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Interests: safety and health protection in construction processes; modeling of accidents; phenomenon analysis of the causes of accidents; accident assessment; risks and hazards; construction management; modeling deterministic and probabilistic construction processes; the use of artificial intelligence methods in solving decision problems in construction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Rapid economic development, which is also prominent in the construction industry, generates many new scientific problems that must be addressed, e.g., how to meet the requirements of the modern economy. These avenues of scientific research are not only aimed at the continuous improvement of the technology used to erect new facilities, increasing the level of occupational safety, and reducing construction time and costs, but also at increasing the durability of existing structures from different stylistic periods.

These goals can be achieved by various means, including the use of modern technologies in construction projects, the automation and robotization of construction processes, the use of modern information technologies, and the development of modern methods of planning, organizing, and managing construction processes. This Special Issue aims to present the latest developments in this area.

We welcome original manuscripts concerning, but not limited to, the following:

  • Modern solutions concerning devices that are used in the construction industry, including the automation and robotization of construction processes, with particular emphasis on the risks and hazards associated with them;
  • Modern technological and organizational solutions in the construction industry, including research methods and ways of securing structures and building objects from different stylistic periods;
  • The latest information technologies addressing the various problems that occur in the investment process;
  • Interdisciplinary research related to occupational safety, including accident modeling, occupational risk assessment, risk management, and occupational safety, as well as the impact of automation and robotization on occupational safety;
  • Applications of virtual reality (VR) technology for research and training purposes.

Methods used in forecasting processes, events, and phenomena that may occur in the future in the construction industry.

Prof. Dr. Bożena Hoła
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 250 words) can be sent to the Editorial Office for assessment.

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

  • construction industry
  • automation and robotization of construction processes
  • technological and organizational solutions
  • controlling executive processes
  • investment process
  • occupational safety
  • risks and hazards
  • safety management
  • sustainable development
  • management in construction
  • diagnostic of building structures
  • construction waste management

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

Published Papers (4 papers)

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Research

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23 pages, 3175 KB  
Article
Optimizing Reinforcement Bar Fabrication in Construction Projects via Multi-Dimensional Applications in Building Information Modeling
by Yu Luo, Yiminxuan Liu, Xiaofeng Liao, Changsaar Chai, Heap-Yih Chong, Yongtong Huang and Zhaoyin Zhou
Appl. Sci. 2025, 15(19), 10807; https://doi.org/10.3390/app151910807 - 8 Oct 2025
Viewed by 923
Abstract
Steel reinforcement is one of the most important materials used in the construction industry. This research optimizes reinforcement bar fabrication by integrating Building Information Modeling (BIM) with visual programming in Dynamo. On-site rebar cutting and bending generate significant material waste, increasing costs and [...] Read more.
Steel reinforcement is one of the most important materials used in the construction industry. This research optimizes reinforcement bar fabrication by integrating Building Information Modeling (BIM) with visual programming in Dynamo. On-site rebar cutting and bending generate significant material waste, increasing costs and environmental impact. To address this, an intelligent Dynamo script was developed to extract detailed 3D rebar and 4D scheduling data from BIM models. The script optimizes material usage by specifying cut-off lengths to improve reuse and minimize waste. Validation through two real-world case studies demonstrated the method’s significant potential. Effectiveness was assessed using benchmarks comparing the number of bars saved, waste reduced, and overall cost savings. The study confirms that optimized fabrication significantly cuts waste and cost. Its effectiveness, however, varies with rebar type and structural component, with the most significant gains observed in medium-length bars and pile caps. By offering a novel tool for sustainable construction, this research advances BIM-enabled reinforcement design and material optimization. Full article
(This article belongs to the Special Issue Current Technological, Methodological, and Organizational Research Trends in the Construction Industry, Third Edition)
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27 pages, 2557 KB  
Article
Understanding and Quantifying the Impact of Adverse Weather on Construction Productivity
by Martina Šopić, Andro Vranković and Ivan Marović
Appl. Sci. 2025, 15(19), 10759; https://doi.org/10.3390/app151910759 - 6 Oct 2025
Viewed by 1108
Abstract
Adverse weather events have a negative impact on the productivity of construction site activities. Understanding these effects is essential for developing realistic construction schedules. The influence of weather is shaped by both environmental factors (climate, geography, topography) and construction-related aspects such as technologies, [...] Read more.
Adverse weather events have a negative impact on the productivity of construction site activities. Understanding these effects is essential for developing realistic construction schedules. The influence of weather is shaped by both environmental factors (climate, geography, topography) and construction-related aspects such as technologies, materials, equipment, and site exposure. This paper proposes a model to quantify the influence of adverse weather by estimating monthly intervals of expected days with reduced construction productivity, based on data regarding specific weather events, including precipitation, wind, extreme temperatures, snow cover, fog, and high humidity. Data analysis employs the inclusion–exclusion principle, a combinatorial technique, alongside confidence interval estimation, a standard statistical approach. The model was applied in three Croatian cities to demonstrate its practicality and accuracy. Contractors with extensive on-site experience reviewed the results, providing insights into weather-sensitive activities and organizational practices. Full article
(This article belongs to the Special Issue Current Technological, Methodological, and Organizational Research Trends in the Construction Industry, Third Edition)
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28 pages, 3631 KB  
Article
Integrated Risk Assessment in Construction Contracts: Comparative Evaluation of Risk Matrix and Monte Carlo Simulation on a High-Rise Office Building Project
by Anna Starczyk-Kołbyk and Izabela Jędras
Appl. Sci. 2025, 15(17), 9371; https://doi.org/10.3390/app15179371 - 26 Aug 2025
Viewed by 2617
Abstract
This study investigates the application of two complementary risk analysis methods—risk matrix and Monte Carlo simulation—in the context of a large-scale office building construction project. The paper explores the theoretical and practical aspects of construction risk, focusing on how probabilistic and qualitative tools [...] Read more.
This study investigates the application of two complementary risk analysis methods—risk matrix and Monte Carlo simulation—in the context of a large-scale office building construction project. The paper explores the theoretical and practical aspects of construction risk, focusing on how probabilistic and qualitative tools can support informed decision-making. Twelve key risks, including both threats and opportunities, were identified and quantified using expert judgment and historical data. The risk matrix provided an initial prioritization of risk severity and likelihood, while Monte Carlo simulations allowed for the modeling of uncertainty in cost outcomes across a probabilistic spectrum. The results indicate a high level of consistency between the methods, with both identifying value engineering as a dominant opportunity and network documentation errors as critical threats. Monte Carlo simulations further revealed that under proper risk management, the project is likely to avoid additional cost overruns with 60% certainty. This integrated approach provides practical insights for contractors and project managers seeking to enhance the robustness of risk assessment in complex construction environments. Full article
(This article belongs to the Special Issue Current Technological, Methodological, and Organizational Research Trends in the Construction Industry, Third Edition)
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Review

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51 pages, 1801 KB  
Review
An Overview of Environmental Performance Indicators in the Construction Industry
by Iva Mrak, Kristina Galjanić, Tomaš Hanak and Ivan Marović
Appl. Sci. 2025, 15(22), 12135; https://doi.org/10.3390/app152212135 - 15 Nov 2025
Viewed by 690
Abstract
This paper analyzes environmental performance indicators (PIs) in the construction and building industry using bibliometric and content analysis, particularly in the fields of architecture and civil engineering. The paper aims to present a framework for environmental performance in the construction industry, focusing on [...] Read more.
This paper analyzes environmental performance indicators (PIs) in the construction and building industry using bibliometric and content analysis, particularly in the fields of architecture and civil engineering. The paper aims to present a framework for environmental performance in the construction industry, focusing on projects and their impacts. It addresses which research fields are most focused on this area, whether the topic is currently relevant, whether it shows a positive or negative trend, what related topics exist, and what general overlaps or gaps are present. It also examines which PIs are most frequently mentioned and whether the topics and indicators align with the United Nations Sustainable Development Goals (UN SDGs). The results reveal a fragmented research area, with both complex PIs and very narrow PI applications, highlighting the need to bridge these gaps and address the challenge of insufficient data. The research uses QtoQ Target Mapping to map the PIs to the UN SDGs and provide an overview of coverage. The findings indicate that this topic is highly important and researched across various disciplines, and that the PIs and their analysis further contribute to the Sustainable Development Goals. Full article
(This article belongs to the Special Issue Current Technological, Methodological, and Organizational Research Trends in the Construction Industry, Third Edition)
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