Purpose 3D printing is transforming the construction industry by enabling precise fabrication, minimizing material waste and enhancing project efficiency through automated additive processes and advanced digital modelling. Despite its growing potential, the adoption of 3D printing in sustainable building projects (SBPs) remains limited and the factors driving successful implementation are not yet fully understood. This study addresses this knowledge gap by systematically identifying and classifying critical success factors (CSFs), thereby providing insights into the ways that 3D printing can advance sustainability goals and CSFs required for its effective deployment in SBPs. Design/methodology/approach A mixed-method research design that combines a systematic literature review (SLR) (qualitative) with a bibliometric analysis (quantitative) was adopted to identify the CSFs for the implementation of 3D printing in SBPs. The SLR was executed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, utilizing Scopus as the principal indexing source for obtaining 72 peer-reviewed journal articles. Findings Emergent findings indicate a significant increase in published interest regarding the CSFs that affect the adoption of 3D printing in SBPs, highlighting a rapid growth of studies in this nascent domain. Additionally, key influential journals and the critical impact of cross-regional collaboration were clearly evident. Lastly, four key thematic gaps in knowledge were highlighted viz.: (1) insufficient real-world validation in large-scale construction, (2) lack of standardized metrics for assessing 3D printing performance, (3) intelligent and green building applications of 3D printing and (4) decision-making models for sustainable 3D printing adoption. Research limitations/implications This study is limited by the exclusive use of the Scopus database; therefore, future studies may incorporate multiple databases to provide a more comprehensive understanding of 3D printing adoption in SBPs. Practical implications The findings provide construction practitioners with a practical roadmap for implementing 3D printing in SBPs by identifying CSFs related to technology readiness, project management, sustainability orientation and regulatory support. Policymakers and industry stakeholders can utilize these insights to develop effective strategies, standards and incentives that facilitate the wider adoption of 3D printing in SBPs. Originality/value This study addresses the limited availability of comprehensive and up-to-date research examining the CSFs influencing the adoption of 3D printing in SBPs.
Purpose This article aims to establish an integrative conceptual framework for reorienting architectural education in response to intersecting global pressures. Architectural education faces significant pressures resulting from climate emergency, accelerating social inequity, geopolitical instability and rapid technological transformation that expose the limits of its inherited Eurocentric, studio-based traditions. This article argues that its future depends on four interrelated transformations: the critical rupture of the architectural canon; the reinstatement of social agency through the socius; the decolonisation of pedagogy toward epistemic plurality; and the advancement of sustainable and regenerative pedagogies. Aligned with the Sustainable Development Goals (SDGs) and circular thinking, these transformations crystallise in the concept of planetary architectural pedagogy, an integrative framework positioning the architect as a mediator, collaborator and steward within complex socio-ecological systems. Design/methodology/approach The article adopts a theoretically anchored conceptual approach, drawing on critical theory, decolonial scholarship, social epistemologies and sustainability frameworks. It synthesises an emerging body of pedagogical research, including the ADAPT2SDG typology, the circular commons model and the socius framework, alongside an analysis of international accreditation and validation systems (AACA, RIBA, Architects Registration Board, National Architectural Accrediting Board and UNESCO–UIA). The argument progresses through thematic analysis, integrating scholarly literature with empirical evidence from a global survey of 345 schools of architecture across 159 countries. Findings The article identifies four interrelated transformations reshaping architectural education: (1) the rupture of the canonical studio tradition and its Eurocentric knowledge hierarchies; (2) the reinstatement of social agency through the socius as a site of collective knowledge production; (3) the operationalisation of decolonised pedagogical frameworks that translate global SDGs into context-sensitive practice; and (4) the integration of SDGs and circular commons to advance socially just and ecologically grounded design learning. These trajectories meet in what this article calls for “planetary architectural pedagogy”. Research limitations/implications As a conceptual article, the argument draws on illustrative case evidence rather than systematic empirical data across all sections. Four productive provocations are identified and include: scale, expertise, critique versus construction, and accreditation versus transformation. They remain unresolved, open ended, and are offered as productive sites for future empirical and pedagogical research. The article does not prescribe a singular curriculum or studio model, recognising that contextual responsiveness is central to any decolonised, planetary approach. Practical implications The article offers educators, curriculum designers, and institutional leaders a conceptual vocabulary and adaptable knowledgebase for reorienting architectural pedagogy. The ADAPT2SDG typology and circular commons model support the embedding of sustainability, decolonisation and social equity in teaching, learning and assessment. Social implications Reconceptualising architectural education around social agency, epistemic justice and ecological stewardship, the article supports a vision of architectural education and profession as a contributor to more just, equitable and sustainable built environments. Planetary architectural pedagogy positions future architects as active participants in shaping socio-ecological interdependencies at local and global scales. Originality/value The article makes an original contribution by synthesising four distinct trajectories of pedagogical transformation, including canonical rupture, the socius, decolonisation and sustainability, into the integrative concept of planetary architectural pedagogy. It advances this synthesis through recent empirical frameworks (ADAPT2SDG, circular commons and global UIA survey) and documents for the first time; their intersection with institutional accreditation shifts across multiple national and international systems. The concept of planetary architectural pedagogy constitutes a new contribution to the vocabulary of architectural-education scholarship.
Purpose Urban road infrastructure (roads, bridges, pavement and drainage systems) is increasingly vulnerable to climate change impacts, such as extreme weather events, flooding and heat stress, threatening its structural integrity and long-term functionality. This systematic literature review investigates how smart technologies can enhance the climate resilience of urban road systems. Design/methodology/approach A four-phase systematic literature review was conducted, beginning with the selection of 78 key studies from 1,684 Scopus-indexed publications. This was followed by bibliometric analysis using VOSviewer and qualitative content analysis with NVivo. The review employed an inductive approach, focusing on identifying technological applications, integration patterns, challenges and frameworks through systematic content analysis. Findings Through systematic content analysis, the review identified seven core technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twin (DT) systems, the Internet of Things (IoT), Artificial Intelligence (AI), Big Data (BD) and Remote Sensing (RS). These technologies form an integrated digital ecosystem: GIS and RS supply spatial and environmental data; IoT sensors provide real-time monitoring; BIM supports infrastructure design and lifecycle modelling; DT systems simulate infrastructure performance using live and historical data; and AI, in conjunction with BD, facilitates predictive analytics and automated decision-making. Despite their potential, implementing these technologies presents several challenges, including data interoperability issues, technological immaturity, fragmented policies and socio-technical barriers. Originality/value The study proposes a conceptual framework to guide the integration of smart technologies into climate resilience strategies for urban road infrastructure. It also recommends developing standardised integration frameworks to enhance interoperability, cross-sectoral governance structures and capacity-building initiatives to support practical implementation.
Purpose Historical structures are representations of a nation's cultural and architectural heritage, yet most were built in eras when modern energy efficiency, occupant comfort and indoor air quality (IAQ) were not prioritized in building design. Such challenges are intensified in naturally ventilated public assembly structures where climatic variations and intermittent high-occupancy events create substantial temporal variations. Design/methodology/approach This study presents a holistic framework for evaluating the hourly performance of naturally ventilated public assembly buildings over a year. The building behavior is represented by combining hourly values of key performance indicators (KPIs), extracted from a Building Information Modeling model, into a system dynamics model that simulates cumulative effects and cause-and-effect relationships. The outputs are aggregated into an hourly Building Performance Index. The chosen approach adopts a dynamic weighting strategy built upon a hybrid analytic hierarchy process–entropy baseline weighting scheme. Adaptive monthly adjustments informed by variability in performance KPIs as well as seasonal and occupancy-related adjustments are applied. Findings The results demonstrate that static weighting scenarios tend to smooth temporal variability and mask critical operational periods, while dynamic scenarios reveal pronounced performance degradation during high-stress conditions. Although the studied mosque's energy subsystem shows strong seasonal performance due to natural ventilation, it experiences pronounced hourly drops during peak-use periods; the IAQ subsystem remains structurally stable due to the mosque's architectural properties and occupant comfort constitutes the weakest and most event-sensitive module. Originality/value Integrating system dynamics modeling with adaptive weighting strategies captures the changing importance of performance criteria over time to identify critical operational vulnerability periods that may remain concealed in conventional static assessments. The proposed framework provides an exploratory, feedback-driven tool helping stakeholders with realistic, policy-oriented performance assessment.
Purpose This study develops an integrated building information modeling (BIM)-based model for predictive maintenance management in educational buildings by combining building condition assessment (CA) and deterioration prediction (DP) using a Markov chain model. Design/methodology/approach The methodology involves categorizing building assets into a hierarchy, calculating relative weights (RW) for components and optimizing maintenance schedules and resource allocation. The integration of the BIM model with facility management (FM) software enhances data exchange and decision-making, providing facility managers with graphical representations of data and a platform for managing both preventive and corrective maintenance. Findings The effectiveness of the model was validated using data from a real educational facility, which demonstrated improvements in maintenance, and cost reduction. Specifically, the model supports proactive maintenance scheduling, and task prioritization, leading to reduction in maintenance costs and enhancing the efficiency of maintenance operations. Through a real-world case study, the model achieves 22% maintenance cost reduction, and 89% prediction accuracy, demonstrating its practical advantages over reactive. Originality/value This approach not only extends the lifecycle of building assets but also improves overall asset management practices in educational facilities, offering original insights into the integration of CA and DP within a BIM framework. This innovative model serves as a scalable solution for efficient data-driven FM that is potentially adaptable to other types of buildings. Furthermore, the model bridges the gap between advanced research and practice by introducing a simplified approach. This paper introduces a novel BIM-based framework that unifies (CA), and (DP) into a single predictive maintenance model tailored for educational buildings.
