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Sustainability
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Enhanced Sustainable Construction Management through Industry 4.0 Technologies
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Enhanced Sustainable Construction Management through Industry 4.0 Technologies

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 3453

Special Issue Editor

Prof. Dr. JeongWook Son

E-Mail Website
Guest Editor
Department of Architectural and Urban Systems Engineering, College of Engineering, Ewha Womans University, Seoul 120-750, Republic of Korea
Interests: sustainable construction management; smart construction technologies; integrated project delivery; off-site construction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sustainable construction has become a fundamental area of concern in the global construction industry. Significant efforts have been made to advance the sustainability of construction in both academic and practical spheres. The construction supply chain has made wide-ranging efforts to achieve sustainable construction. These include minimizing the industry's environmental impact by using renewable and recyclable resources, reducing energy consumption and waste generation, and fostering the creation of healthy, eco-friendly environments.

Furthermore, there has been substantial scholarly research and practical implementation in the realm of construction management, including in areas such as life-cycle assessment, lean construction, sustainable supply chain management, sustainable construction techniques, and the efficient management of construction sites. Recent developments in sustainable construction management are expanding to include a selection of sustainable delivery methods, pre-construction strategies for sustainability, and advanced computational design and engineering techniques to enhance sustainability. Additionally, off-site construction has become an area of particular focus.

The integration of emerging technologies, such as construction automation, artificial intelligence (AI), big data analytics, Building Information Modeling (BIM), Augmented Reality/Virtual Reality (AR/VR), robotics, and smart sensing, has further catalyzed the progress of sustainable construction management. AI and big data, for instance, are leveraged to analyze vast amounts of construction data for a deeper understanding of how to optimize resource usage and reduce waste. BIM facilitates the digital representation of construction projects, allowing for better planning and resource allocation. AR/VR and robotics are employed in various construction tasks to improve precision and efficiency. Smart sensing technologies are used for the real-time monitoring of construction processes, enabling prompt adjustments to enhance sustainability.

In addition to these advancements, it is worth noting that another Special Issue on sustainable construction management and computer simulation has been launched to provide a dedicated platform for disseminating cutting-edge research and innovations in this field. This Special Issue instead aims at fostering collaboration among researchers, practitioners, and industry experts, and offers an opportunity to showcase the latest advancements in sustainable construction and its management. This initiative will further accelerate the progress of sustainable construction practices, leading to more environmentally friendly and efficient construction processes.

I look forward to receiving your contributions. 

Prof. Dr. JeongWook Son
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. Sustainability 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

  • sustainable construction
  • construction management
  • lean construction
  • off-site construction
  • computational research methods
  • construction automation
  • artificial intelligence
  • big data
  • BIM
  • AR/VR
  • robotics
  • smart sensing

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Published Papers (2 papers)

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Research

19 pages, 3865 KiB  
Article
Development of Calculation Method for Full-Time Equivalent Workers per Man-Year to Improve Fatality Rate Estimation
by Jayho Soh, Jaehyun Lee, Jaewook Jeong, Jaemin Jeong and Jeongwook Son
Sustainability 2024, 16(21), 9443; https://doi.org/10.3390/su16219443 - 30 Oct 2024
Viewed by 1207
Abstract
The fatality rate in the construction industry is a key indicator for assessing safety management, with the number of workers being a critical factor in its estimation. Many countries rely on sampling inspections or assumptions to determine the number of workers, which can [...] Read more.
The fatality rate in the construction industry is a key indicator for assessing safety management, with the number of workers being a critical factor in its estimation. Many countries rely on sampling inspections or assumptions to determine the number of workers, which can lead to inaccuracies in evaluating the fatality rate. In this study, we developed a method to calculate the full-time equivalent workers per man-year (FTEWm·y) to more accurately estimate the fatality rate, taking into account building and work types using daily work reports (DWRs). The research process included six steps: (i) selecting a target project; (ii) establishing a database; (iii) developing the FTEWm·y framework based on the DWR; (iv) validating the framework; (v) calculating the FTEWm·y for residential building projects in the Republic of Korea; and (vi) applying the framework. The key findings included the following: the FTEWm·y/USD for residential projects was 1.1 × 10−3 FTEWm·y/USD, with the framework achieving an accuracy of 85.30% and an R2 value of 92.92% through five-fold cross-validation. The FTEWm·y for residential buildings in the Republic of Korea was 4.5 × 107 FTEWm·y, and the fatality rate was 0.011‱. This framework offers a more precise way of evaluating fatality rates by considering specific building and work types, improving safety management practices in the construction industry. Full article
(This article belongs to the Special Issue Enhanced Sustainable Construction Management through Industry 4.0 Technologies)
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23 pages, 4252 KiB  
Article
Analysis of the Effect of Outdoor Thermal Comfort on Construction Accidents by Subcontractor Types
by Minwoo Song, Jaewook Jeong, Louis Kumi and Hyeongjun Mun
Sustainability 2024, 16(12), 4906; https://doi.org/10.3390/su16124906 - 7 Jun 2024
Cited by 1 | Viewed by 1693
Abstract
The impact of climate on construction site safety varies significantly depending on subcontractor types due to the diverse nature of workplaces and work methods. This study introduces a novel approach by categorizing construction work according to subcontractor types and assessing accident risk probabilistically [...] Read more.
The impact of climate on construction site safety varies significantly depending on subcontractor types due to the diverse nature of workplaces and work methods. This study introduces a novel approach by categorizing construction work according to subcontractor types and assessing accident risk probabilistically through the Physiologically Equivalent Temperature (PET), an outdoor thermal comfort index. Additionally, a Hidden Markov Model (HMM)-based clustering methodology was proposed to classify new groups using PET and accident probability. This study proceeded in the following sequence: (i) collection and classification of data, (ii) PET calculation, (iii) calculation of accident probability, and (iv) clustering and Pearson correlation coefficient analysis. As a result of clustering, each group was classified according to the workplace. Groups 2 and 3 demonstrated a strong positive correlation between accident probability and PET, with correlation coefficients of 0.837 and 0.772, while Group 1 exhibited a moderately positive correlation of 0.474. This study quantitatively evaluated the impact of climate on workers for each subcontractor type using PET, an outdoor thermal comfort index for construction work, and accident probability, resulting in the identification of new groups. The findings of this study may serve as novel benchmarks for safety management in construction worker safety based on PET. Full article
(This article belongs to the Special Issue Enhanced Sustainable Construction Management through Industry 4.0 Technologies)
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