The risks associated with climate change are escalating in communities, and the benefits of adaptation projects are often assessed by focusing primarily on the technical gains of increased resilience, with comparatively less attention to the social value they create for those communities. This study reviews academic evidence on how climate change adaptation projects implemented in the urban built environment translate these strategies into two outcomes: the city’s resilience and social value, through the lens of the delivery of urban planning and construction projects. The scientometric analysis was carried out on 58 peer-reviewed documents identified from the Web of Science (n=51) and the Scopus database (n=7), with relevance to English-language publications. The results of the keyword co-occurrence analysis using the VOSviewer tool, with a minimum of five occurrences and 22 keywords, clustered into four distinct themes: Policy Frameworks, Urban Resilience, Risk Management, and Planning Governance. The results of the study suggest a highly interconnected body of knowledge networked around the keywords of climate change, adaptation, cities, and resilience, representing a dynamic shift from a traditional framework of risk and vulnerability to a more contemporary approach that focuses on the roles of policy, planning, governance, and sustainability. It is also interesting to recognise the limited appearance of social value as a high-frequency keyword. The paper contributes a cluster delivery logic that links strategy, project selection, design needs, coordination, and implementation management to outcomes of resilience and social value. The discussion of implications suggests the need to integrate a criterion of social value into appraisal, procurement, and review processes, and to develop African evidence through African-led evaluations and context-related delivery research.
Nana Akua Gyadu-asiedu, C. Aigbavboa, Lerato Millicent Aghimien et al.· AHFE International· 0 citations
This study is premised on the argument that achieving sustainability in construction site management requires integrating Digital Ergonomics. Accordingly, the objectives of the study are twofold: to examine the benefits of Digital Ergonomics for sustainable construction site management and to develop a framework for its systematic integration into construction site operations. The theoretical foundation of the study is anchored in Socio-Technical Systems theory, which emphasizes the joint optimization of human and technological systems.A qualitative research methodology was adopted through a Systematic Literature Review (SLR) guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of 109 research publications were identified and screened, forming the basis of the analysis. The findings reveal five key benefits of Digital Ergonomics for sustainable construction site management: potential for scenario analysis, GIS-enabled spatial analysis, multimodal interaction, waste reduction and management, and digital lean construction. Furthermore, the study proposes a six-stage integrative framework for embedding Digital Ergonomics into sustainable construction site management, comprising modular construction, sustainability indicators and design for construction sites, a Big Data analytic model, design of human action behavior recognition technology, application of Digital Twin technology, and a biophilic construction site model.The study concludes that Digital Ergonomics serves as a strategic bridge between human-centered design and sustainable, data-driven construction operations. It recommends institutionalizing the twin transitions of digitalization and sustainability within construction site policies and regulatory frameworks, as well as practical experimentation with Digital Ergonomics models across diverse construction contexts.
L. David, C. Aigbavboa, A. Idowu· AHFE International· 0 citations
Torsional vibrations induced by seismic excitation can significantly increase structural demand, particularly in systems with geometric or stiffness irregularities. This proof-of-concept study proposes a hybrid adaptive control framework that combines passive gyroscopic damping with reinforcement learning (RL)-based adaptive torque control for torsional response mitigation. A simplified three-degree-of-freedom (3DOF) structural model is evaluated under bidirectional earthquake loading, while the control policy is trained using the Proximal Policy Optimization (PPO) algorithm to generate adaptive torque directly from measured system states without explicit system identification. Numerical simulations using recorded earthquake ground motions show that the proposed approach reduces root-mean-square torsional displacement to 0.012 ± 0.001 rad, representing a 65.7% reduction relative to the uncontrolled case and improved performance over passive gyroscopic control alone. Sensitivity analyses involving variations in mass, stiffness, and damping indicate stable controller performance across the structural parameter ranges considered. The trained controller achieved sub-millisecond inference time with minimal computational overhead, supporting its computational feasibility for future real-time implementation. The results demonstrate the potential of integrating physically grounded gyroscopic damping with data-driven adaptive control for intelligent torsional vibration mitigation.
S. Stephen, Ali Hadi, O. Akinradewo et al.· Asian Journal of Civil Engin...· 0 citations