Advances in Digital Intelligence for Construction Safety

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 10 June 2026 | Viewed by 798

Special Issue Editor

School of resources and safety engineering, Central South University, Changsha 410083, China
Interests: neural safety science; safety risk perception mechanism; safety psychology and behavior; human factors engineering; intelligent safety monitoring

Special Issue Information

Dear Colleagues,

Construction safety remains a critical challenge for the industry worldwide, with significant implications for human health, project performance, and sustainable development. The rapid advancement of digital intelligence—including artificial intelligence (AI), machine learning (ML), computer vision, the Internet of Things (IoT), digital twins, and augmented/virtual reality (AR/VR)—offers transformative potential to rethink and enhance safety management practices. This Special Issue aims to gather cutting-edge research and innovative applications that leverage digital technologies to predict, monitor, and prevent risks throughout the building life cycle. Topics of interest include, but are not limited to, the following: AI-based hazard identification and risk assessment, real-time safety monitoring using sensors and IoT, human–machine interaction for safety support, VR/AR for safety training and simulation, data-driven safety decision-making, and integration of safety with BIM and digital twins. We welcome original research articles, case studies, and comprehensive reviews that contribute to the theoretical and practical understanding of how digital intelligence can build a safer and more resilient construction industry.

Dr. Shu Zhang
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. Buildings 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 2600 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 safety
  • human factors engineering
  • artificial intelligence
  • risk management
  • smart construction
  • safety behavior analysis
  • IoT monitoring
  • VR/AR training

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Published Papers (1 paper)

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Research

19 pages, 2453 KB  
Article
The Discrepancy of Risk Perception Between Workers and Managers: Evidence from ERP
by Shu Zhang, Jiabin Li, Xinyu Hua, Yifan Li, Shufen Ye, Xiuzhi Shi and Yan Zhang
Buildings 2025, 15(24), 4444; https://doi.org/10.3390/buildings15244444 - 9 Dec 2025
Viewed by 544
Abstract
Differences in risk perception between frontline construction workers and managers can create communication barriers and lower the efficiency of safety management. In this study, we focused on frontline construction workers and managers and used event-related potentials (ERPs) to examine discrepancies in risk perception [...] Read more.
Differences in risk perception between frontline construction workers and managers can create communication barriers and lower the efficiency of safety management. In this study, we focused on frontline construction workers and managers and used event-related potentials (ERPs) to examine discrepancies in risk perception across two processes: hazard identification and risk judgment. During hazard identification, workers identified fewer hazards correctly than managers (p = 0.009 < 0.05). Managers also showed larger N200 amplitudes than workers (p = 0.040 < 0.05), which suggests that managers engaged conflict monitoring and inhibitory control more strongly. During risk judgment, workers responded more slowly than managers (p = 0.012 < 0.05). They also showed lower P100 (p = 0.026 < 0.05) and LPP amplitudes (p = 0.024 < 0.05), indicating weaker early visual–attentional gating and less sustained evaluative engagement with hazardous scenes. These patterns indicate that workers rely more on irrelevant information, whereas managers respond more sensitively to potential hazards. By revealing when and how role-based differences emerge, our findings offer a neurocognitive explanation for the persistent gap in risk perception and highlight specific targets for training. These insights can guide risk communication between managers and workers, extend research on risk-perception differences beyond self-report measures, and illustrate the value of ERP as a time-resolved tool for studying risk perception. Full article
(This article belongs to the Special Issue Advances in Digital Intelligence for Construction Safety)
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