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Advances in Sustainable Construction Engineering and Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 131

Special Issue Editors


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Guest Editor
Major in Architectural Systems Engineering, School of Architectural Engineering, Gyengsang National University, Jinju, Gyeongnam, Republic of Korea
Interests: modular construction; quality control; planning; construction management; optimization; Design for Disassembly (DfD); digital twin; augmented reality
Department of Architectural Engineering, Pusan Natational University, Busan, Republic of Korea
Interests: construction safety; wearable sensing; virtual reality; cyber physical system; construction automation; construction management; natural language processing; generative AI

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Guest Editor
Department of Architectural Engineering, Kumoh National Institute of Technology, Gumi-si, Republic of Korea
Interests: smart construction; digital twin city; artificial intelligence; engineering informatics

Special Issue Information

Dear Colleagues,

The construction industry is undergoing a fundamental transformation driven by urgent demands for sustainability, resilience, digitalization, and productivity. Recently, the field has also sought to respond to deeper, more fundamental questions about what sustainable construction truly means. Sustainable construction is not merely about employing eco-friendly materials and methods; rather, it represents an enduring academic exploration—one that reminds us of the need for continuous inquiry and advancement to ensure that future generations can also engage with and benefit from sustainable development.

This Special Isse, ‘Advances in Sustainable Construction Engineering and Management’, seeks to showcase cutting-edge research and innovative practices that address the challenges and opportunities in delivering sustainable built environments.

We invite contributions that advance scholarship and practice across the full spectrum of construction engineering and management. Topics of interest include, but are not limited to, the following:

  • Sustainable Construction Practices: Green building methods, modular/off-site construction, resource-efficient processes, and circular economy approaches.
  • Digital and Smart Technologies: Applications of BIM, digital twins, AI/ML, XR/AR, UAVs, and IoT for sustainable project delivery and lifecycle management.
  • Resilience and Disaster Preparedness: Strategies for adaptive infrastructure, disaster-relief housing, climate change mitigation, and risk-informed construction planning.
  • Management Innovations: Sustainable supply chain management, productivity improvement, performance measurement, and policy frameworks supporting sustainability goals.
  • Human and Social Dimensions: Workforce well-being, safety, ethical decision-making, and community-centered approaches in sustainable construction.

This section provides a platform for scholars, practitioners, and policymakers to exchange ideas and present evidence-based solutions that contribute to a more sustainable and resilient construction sector. We welcome original research articles, case studies, methodological advances, and critical reviews that highlight both theoretical insights and practical applications.

By bringing together diverse perspectives, this Special Issue aims to strengthen the dialog between academia and industry and to accelerate the adoption of sustainable engineering and management practices worldwide.

Dr. Jeong-Hoon Lee
Dr. JunHo Jeon
Dr. Jinwoo Kim
Guest Editors

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

  • construction engineering and management
  • sustainable
  • smart construction
  • digital twin
  • automation

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Published Papers (1 paper)

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Research

15 pages, 4651 KB  
Article
Improvement of Construction Workers’ Drowsiness Detection and Classification via Text-to-Image Augmentation and Computer Vision
by Daegyo Jung, Yejun Lee, Kihyun Jeong, Jeehee Lee, Jinwoo Kim, Hyunjung Park and Jungho Jeon
Sustainability 2025, 17(20), 9158; https://doi.org/10.3390/su17209158 - 16 Oct 2025
Abstract
Detecting and classifying construction workers’ drowsiness is critical in the construction safety management domain. Research efforts to increase the reliability of drowsiness detection through image augmentation and computer vision approaches face two key challenges: the related size constraints and the number of manual [...] Read more.
Detecting and classifying construction workers’ drowsiness is critical in the construction safety management domain. Research efforts to increase the reliability of drowsiness detection through image augmentation and computer vision approaches face two key challenges: the related size constraints and the number of manual tasks associated with creating input images necessary for training vision algorithms. Although text-to-image (T2I) has emerged as a promising alternative, the dynamic relationship between T2I-driven image characteristics (e.g., contextual relevance), different computer vision algorithms, and the resulting performance remains lacking. To address the gap, this study proposes T2I-centered computer vision approaches for enhanced drowsiness detection by creating four separate image sets (e.g., construction vs. non-construction) labeled using the polygon method, developing two detection models (YOLOv8 and YOLO11), and comparing the performance. The results showed that the use of construction domain-specific images for training both YOLOv8 and YOLO11 led to higher mAP@50 of 68.2% and 56.6%, respectively, compared to those trained using non-construction images (53.4% and 53.5%). Also, increasing the number of T2I-generated training images improved mAP@50 from 68.2% (baseline) to 95.3% for YOLOv8 and 56.6% to 93.3% for YOLO11. The findings demonstrate the effectiveness of leveraging the T2I augmentation approach for improved construction workers’ drowsiness detection. Full article
(This article belongs to the Special Issue Advances in Sustainable Construction Engineering and Management)
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