Oct 2026· International Journal of Civil Engineering· 0 citations· 130 references
Occupational Health and Safety Research
Abstract
Digitalization has been increasingly portrayed as a game-changing approach to enhancing construction safety through the adoption of technologies like Building Information Modelling (BIM), sensors, Artificial Intelligence (AI), and data analytics-based safety tools. While research interest and adoption of digital safety technologies have been increasing, the evidence of long-term improvement in safety performance is unclear. To understand this challenge, this research adopts a systematic review approach to critically synthesize the existing research on digitalization for construction safety, using the Theory-Context-Characteristics-Methodology (TCCM) framework. The review examined 120 peer-reviewed journal articles published from 2010 to 2026 to map research patterns, structural gaps, and cross-dimensional gaps. The results show a heavy emphasis on adoption-focused theories, location of studies in developed countries with little discussion of how they apply to developing construction settings, isolated technology-driven studies, and use of cross-sectional and perception-based research designs. These characteristics fuel a gap between digital technology adoption and safety outcomes. Drawing on the synthesis, this study develops the Digital Safety Readiness-Adoption-Outcome (DSRAO) framework, which conceptualizes digitalization in construction safety as a mediated and outcome-focused process. It places the organizational digital safety readiness as a key explanatory factor connecting contextual enablers and barriers, digital technology adoption, and explicit safety outcomes. The research contributes to the body of literature on digital construction safety by moving beyond descriptive synthesis and adoption-focused explanations, and providing an evidence-based and structured framework that explains how digitalization can enhance construction safety outcomes.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
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Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.