Architecture

Housing retrofit plays a pivotal role in achieving sustainability goals. The fragmented nature of the retrofit industry has been identified as a barrier to driving retrofit at scale. The study aims to analyse how to strategically improve the concept of the one-stop-shop model to drive housing retrofit at scale with the help of existing literature. The concept of a one-stop-shop model provides all the retrofit services with a single contact to the client. A systematic literature review approach was used. Only peer-reviewed journal articles, book chapters and conference articles published from 2016 to 2025 in English were selected. There are 12 shortlisted journal and conference proceedings articles critically evaluated under three themes: delivery method, ownership structure and level of responsibility. The findings highlight the different characteristics of the one-stop-shop model under these themes. Considering the existing case studies, starting a one-stop shop under a hybrid delivery method and a medium level of responsibility is recommended for retrofit at scale. The ownership structure shall be context-specific. Limitations could be given as the researcher bias and the missed articles in databases not considered for this review. Further research is suggested on how the characteristics of a one-stop shop can be customised, considering the context-specific resources and purposes. Full article

Design studios generally concentrate on some critical concerns of urban life to overcome, and housing is one of those. Rapid development and advanced technology increase the need for and problems with housing. Such concerns should be addressed in theory, practice, and pedagogy. This study assesses the sophomores’ design output and their understanding of housing typologies based on real-world project sites to contribute to pedagogical aspects. Our study results show that students’ villa typologies generally focus on specific social groups with central themes, including health and recreation, while apartment complex designs converge on community life, urban identity, and tranquility. Based on the survey, students were part of it; they had difficulty with the scale and site-related grading problems, while most wished to work on the other typology theme. This study eventually calls attention to housing problems based on the design students’ perspectives on different residential typologies. Full article

Climate change, urbanization, and socio-economic inequality are increasing the severity of urban challenges, emphasizing the imperative for a resilient built environment. Yet, architectural education has lagged in adopting resilience principles into its central curricula. This paper critiques dominant pedagogical paradigms and identifies shortcomings in interdisciplinary collaboration, digital tool adoption, and practical problem-solving. Moving its focus from local to international best practices for resilience, the study extracts key dimensions for learning architecture and explores case studies in leading schools that reflect pioneering, resilience-centric pedagogies. The findings highlight the importance of scenario-based learning, participatory design, and the use of technologies like AI, GIS, and digital twins to strengthen resilience. The article also explores how policy reformulation, accreditation mandates, and cross-sector collaborations can enforce the institutionalization of resilience education. It demands a pedagogical shift toward climate adaptation design studios, inter/transdisciplinary methods, and technological skills. The study ends with action guidelines for teachers, policymakers, and industry professionals who want to ensure that architectural education becomes responsive to resilient urban futures. Full article

This study investigates the spatiotemporal distribution and evolution of traditional villages in southern Jiangsu Province, China. By integrating historical documents, remote sensing images, and socio-economic statistics, we have applied standard geographic information system (GIS) methods, including kernel density estimation, nearest neighbor analysis, and standard deviation ellipse analysis, to examine the patterns and driving forces behind village formation and transformation. The findings are as follows: (1) The spatial distribution of the villages exhibits a spatial pattern of “peripheral agglomeration and central decline,” with a nearest neighbor index value of 0.84 (z = −2.52, p < 0.05), indicating a significantly clustered distribution. Kernel density analysis revealed high-density zones along the southwestern coast of Taihu Lake and southeastern Dianshan Lake. (2) From the Song to the Qing Dynasty, village migration followed three sequential phases, “stabilizing near water → avoiding risks around water → adapting inland,” showing strong spatiotemporal linkages to climate change and warfare. (3) The density of the villages showed a significant negative correlation with the per capita GDP (Moran’s I = −0.69, p < 0.05; 0.69, p < 0.01) and was positively correlated with the proportion of primary industry. These findings highlight the spatial resilience characteristics of traditional villages under combined natural and socio-economic pressures and provide a theoretical foundation for regional heritage conservation and rural revitalization strategies. Full article

Inclusive campus design is increasingly being recognised as a key component of sustainable and equitable higher education environments. However, limited research has been carried out on this topic, particularly examining university campuses in Australia. Hence, this paper examines how principles of inclusion are embedded in the spatial planning and architectural design of Australian university campuses. Focusing on a comparative analysis of six Melbourne-based institutions, Victoria University, the University of Melbourne, Deakin University, RMIT University, La Trobe University, and Monash University, this study explores how each campus addresses accessibility, cultural diversity, social equity, and environmental comfort to achieve inclusivity. Drawing on site observations, planning documents, and design frameworks, this paper assesses the extent to which these universities operationalise inclusive design within their built environments. The analysis is guided by a theoretical framework combining universal design, spatial justice, and climate-responsive planning. The findings reveal diverse approaches across institutions, with some campuses demonstrating holistic and integrated strategies, while others exhibit more fragmented or symbolic applications. This paper concludes by outlining best practices and key design enablers that can inform more inclusive and sustainable campus development in Australia and beyond. Full article

Schools can play a vital role in supporting children’s health and well-being, considering the time they spend in these environments. There is an increasing recognition of the role of nature in school design as many studies acknowledge that children have a critical need to be connected to nature. Therefore, the application of biophilia can be a design resolution appropriate for schools because of its impact on children’s health and well-being; however, it remains relatively unexplored in school design around the world, including in the UK. Biophilic design patterns can be used in school buildings and grounds for greater connectivity between spaces and nature. This study focuses on biophilic design patterns related to direct and indirect experience of nature in the school environment. This paper discusses the findings of an empirical study with 88 children in a primary school and the application of biophilic design features and patterns related to happiness for primary school design. Finally, this paper suggests that the evaluation of biophilic design patterns in schools could be a co-design process with children and young people, essential for creating a healthy and happy school environment. Full article

This study examines culture-led urban regeneration as a strategy for revitalizing Meezan Chowk, a historically significant yet deteriorating public space in Quetta, Pakistan. Once a central site of social and commercial exchange, the area suffered from infrastructural decline, overcrowding, and the erosion of its architectural identity. The research proposes a design intervention to restore the site’s heritage value while enhancing its functional and social relevance. A qualitative approach is adopted, incorporating surveys, focus group discussions, and site observations to assess user needs and spatial dynamics. A SWOT analysis serves as the analytical framework to identify the site’s internal strengths and weaknesses, as well as external opportunities and threats. By utilizing the Geographic Information Systems (GIS) and OpenStreetMap data, further information can enhance understanding of the site’s urban morphology. The proposed design integrates vernacular elements, such as arched facades, shaded corridors, and communal courtyards, with contemporary features, including cafes, local artisan shops, and accessible public amenities. Full article

Retrofitting the existing housing stock to a high level of energy efficiency will not be limited to achieving the decarbonisation of 80.3 MtCO2e residential emissions and reducing fuel poverty in 4.16 million households, but also improving the health and well-being of UK residents and their overall quality of life. The current progress of housing retrofitting is poor, at less than 1%. The UK expects to achieve net zero by 2050, and the challenge is immense as there are more than 30 million houses. The challenge is similar in other global contexts. Even if the required technology, supply chain, skilled labour, and finance could have been provided, the retrofitting would not move forward without positive engagement from the clients. Proper strategies are required to retrofit at scale. Focusing on the challenges of stakeholder engagement in housing retrofitting, this study focused on developing a hybrid one-stop shop solution through design science research. A theoretical artefact and an empirical system requirement specification document were developed to propose a one-stop shop solution. This was tested through retrofit industry stakeholders. Findings reveal that the one-stop shop model will be a good answer to retrofitting at scale, providing the resident engagement of 30.1 million households. The model can support residents with or without computer literacy due to its hybrid approach. The proposed theoretical and industrial models can be used as base models for developing one-stop shops for housing retrofitting by adapting them for context-specific requirements. Full article

This paper discusses the adoption of biomimicry and eco-friendly materials as overarching concepts in interior design education. It aims to investigate how biomimicry and eco-friendly materials can be integrated into the existing and established interior design program curriculum. Changes in green and sustainable design concepts used in student capstone projects, which incorporated the reiteration of learning objectives aimed at enhancing student learning outcomes, were identified. This investigation addressed a gap in knowledge by analyzing the influence of nature-inspired designs on students’ problem-solving abilities and creativity. It employed a qualitative case study approach to analyze selected designs that employed biomimicry concepts in functional interior spaces, followed by a visualization stage, in which 3D-printed models were created from recycled and eco-friendly materials, closing the loop on sustainability applications. The study revealed that biomimicry and eco-friendly materials are valuable components of various design curricula, particularly in the fields of environmental studies, architecture, and interior design. This research underscores the urgent need to comprehensively integrate biomimicry and eco-friendly materials into design curricula, fostering a new generation of sustainability-conscious designers equipped to lead transformative change in the future of interior design and beyond. Full article

Sustainable building rating tools (SBRTs) are essential for assessing the environmental impact of buildings, continuously evolving to meet the needs of users. In Nigeria, the effectiveness of these tools depends on their ability to meet the country’s sustainable building standards and environmental goals. While adopting sustainable building rating tools is crucial for realizing the benefits of sustainable construction, little is known about their actual utilization in the Nigerian construction industry. This research aims to (1) assess the level of awareness and utilization of sustainable building rating tools among diverse stakeholders—including architects, engineers, sustainability consultants, developers, contractors, and suppliers—within Nigeria’s Architecture, Engineering, and Construction (AEC) sector, and (2) explore drivers and barriers to their use. The study adopts an explanatory sequential mixed-methods design, starting with a survey of 98 Nigerian building professionals, followed by qualitative analysis. Results show that while 72.4% were aware of SBRTs, only 39.8% had used them, highlighting a gap between awareness and application. Utilization was higher among professionals with greater experience, income, and education. Barriers included high certification costs, tool complexity, and socio-economic factors, while key drivers were government regulations and environmental benefits. The study calls for targeted education, tool simplification, and financial incentives to boost adoption and promote sustainable construction in Nigeria. Full article

Climate change places urban coastlines at significant risk from rising sea levels and increasing storm intensity and frequency. This paper uses Red Hook, Brooklyn, NY as a case study to identify knowledge gaps in current climate resilience efforts across low-lying, post-industrial landscapes in coastal cities. Through an analysis of the short- and long-term effects of Superstorm Sandy (29 October 2012), current city planning efforts, and resulting architectural adaptations, this paper uncovers the shortcomings and possible maladaptive planning in Red Hook and New York City’s overall coastal resilience efforts. As a response to these findings, a new framing for future resilience efforts is proposed through speculative student design proposals and international case studies, applying a more dynamic understanding of climate resilience. These proposals envision a future climate-resilient, heterogeneous model for post-industrial coastal neighborhoods, transitioning to urban landscapes that embrace their shifting shorelines. This paper’s conclusion argues that effective coastal resilience requires strategies that work at multiple scales with shifting water–land boundaries rather than against them. Full article

This paper explores the evolving relationship between Digital Twins (DT) and the Metaverse, two foundational yet often conflated digital paradigms in digital architecture. While DTs function as mirrored models of real-world systems—integrating IoT, BIM, and real-time analytics to support decision-making—Metaverses are typically fictional, immersive, multi-user environments shaped by social, cultural, and speculative narratives. Through several research projects, the team investigate the divergence between DTs and Metaverses through the lens of their purpose, data structure, immersion, and interactivity, while highlighting areas of convergence driven by emerging technologies in Artificial Intelligence (AI) and Extended Reality (XR).This study aims to investigate the convergence of DTs and the Metaverse in digital architecture, examining how emerging technologies—such as AI, XR, and Large Language Models (LLMs)—are blurring their traditional boundaries. By analyzing their divergent purposes, data structures, and interactivity modes, as well as hybrid applications (e.g., data-integrated virtual environments and AI-driven collaboration), this study seeks to define the opportunities and challenges of this integration for architectural design, decision-making, and immersive user experiences. Our research spans multiple projects utilizing XR and AI to develop DT and the Metaverse. The team assess the capabilities of AI in DT environments, such as reality capture and smart building management. Concurrently, the team evaluates metaverse platforms for online collaboration and architectural education, focusing on features facilitating multi-user engagement. The paper presents evaluations of various virtual environment development pipelines, comparing traditional BIM+IoT workflows with novel approaches such as Gaussian Splatting and generative AI for content creation. The team further explores the integration of Large Language Models (LLMs) in both domains, such as virtual agents or LLM-powered Non-Player-Controlled Characters (NPC), enabling autonomous interaction and enhancing user engagement within spatial environments. Finally, the paper argues that DTs and Metaverse’s once-distinct boundaries are becoming increasingly porous. Hybrid digital spaces—such as virtual buildings with data-integrated twins and immersive, social metaverses—demonstrate this convergence. As digital environments mature, architects are uniquely positioned to shape these dual-purpose ecosystems, leveraging AI, XR, and spatial computing to fuse data-driven models with immersive and user-centered experiences. Full article

The artisanal production of paints using inorganic pigments from the Cusco Valley is considered a sustainable alternative to the use of synthetic industrial paints. This approach not only helps reduce the environmental footprint associated with the use of volatile organic compounds (VOCs) but also utilizes local materials. The present study evaluates the physical and mechanical properties of paints obtained from natural pigments through standardized tests based on the American ASTM standards, focusing on adhesion (ASTM D-3359), drying time (ASTM D-1640), surface hardness (ASTM D-3363), and the performance of the paints when exposed to the environmental factors of Cusco (under real conditions). In this regard, the pigments were extracted from traditional quarries and processed through the sedimentation method (MS) and ball milling (MG). The produced paints were formulated with the addition of polyvinyl acetate (PVA) as a binder and water as a solvent and were applied to standardized panels. The results show that all samples meet the requirements of the technical parameters, demonstrating good adhesion, appropriate drying times, and acceptable hardness for architectural coatings, Chromatic variations (ΔE*) were recorded depending on the processing method and the level of environmental exposure, with paints containing ground pigments (MG) being more resistant to fading. This study concludes that these artisanal formulations represent a technically viable and culturally relevant alternative to industrial coatings, especially in contexts of heritage restoration or sustainable architecture. Full article

Buildings account for a significant portion of global energy consumption and are increasingly vulnerable to the adverse effects of climate change, including rising greenhouse gas emissions and shifting weather patterns. These disruptions significantly impact energy demand, necessitating proactive measures to ensure buildings remain functional, sustainable, and energy efficient. This study offers a novel contribution by systematically comparing the energy performance of office building prototypes using a simulation-based method across all U.S. climate zones under projected Representative Concentration Pathways (RCPs) 4.5 (moderate emissions) and 8.5 (high emissions) for the years 2050 and 2080. This multi-scale and multi-scenario simulation provides a nationally comprehensive view of how building size and climate conditions interact to influence vulnerability to future energy demand shifts. The findings reveal that medium-sized office buildings are the most vulnerable to climate change, with an average Energy Unit Intensity (EUI) increase of 12.5% by 2080 under RCP 8.5, compared to a 7.4% rise for large office buildings and a slight decline of 2.5% for small office buildings. Hot and humid cities such as Miami, FL, experience the highest increases, with EUI projected to rise by 21.2% for medium offices, while colder regions like Fairbanks, AK, show reductions of up to 18.2% due to decreasing heating demands. These results underscore the urgent need for climate-compatible building design strategies, particularly in high-risk areas. As climate change intensifies, integrating resilience-focused policies will safeguard energy systems and ensure long-term occupant comfort. Full article

Architecture as a STEM career presents a promising yet challenging path for women pursuing professional growth in the field, as they remain under-represented, particularly in leadership roles and professional practice, despite their increasing presence in architectural education. This study investigates the experiences, motivations, and challenges faced by women in architecture in the educational setting of Nigeria. Using a quantitative research approach, data were collected from 137 respondents through structured questionnaires, representing a 97.93% response rate. The findings reveal that passion for design and creativity (73.7%) was the predominant motivation for women choosing architecture. While 80.5% of respondents reported experiencing or observing gender-related challenges, these were not ranked as primary barriers when specific obstacles were identified; instead, financial constraints, limited resource access, and work–life balance emerged as the most significant challenges. Remarkably, 89.5% of participants expressed satisfaction with architecture as a career choice, with no reported dissatisfaction. Creativity (28%), continuous learning (24.2%), and societal impact (20%) were found to be the most rewarding aspects of their architectural careers. Statistical analyses revealed no significant association between academic level and career satisfaction or between institution attended and experiences of gender-related challenges. The correlation analysis demonstrated that intrinsic motivators like passion for design have stronger relationships with career satisfaction than extrinsic factors like financial stability or family influence. These findings contribute to understanding women’s experiences in architectural education in Nigeria and have implications for educational institutions, professional organizations, and policymakers seeking to enhance women’s participation and advancement in architecture. The research highlights the importance of addressing structural barriers while nurturing the creative and professional aspects that draw women to the field. Full article

The practice of architectural design is experiencing disruptive changes—e.g., the incredible growth of architects worldwide, the relevance of social media and the impact of artificial intelligence—typically analysed and studied as separate phenomena. Through a narrative research approach, this paper connects these emerging trends into a systemic view by referring to two conceptual frameworks—systems theory and transcendental phenomenology. Thus, it shows their mutual irritations, investigating the consequences of the practice of design and the collective architectural imaginary and mapping out the main findings through two diagrams. This paper recognises a series of key points of the resulting architectural system, the paramount being the extensive and mainly unconscious use of keywords. Then, clarifying the ontological dual nature of keywords, it conjectures that design will evolve differently for ordinary cases—characterised by passive keywords and competence—and for the most extraordinary ones—where mastery will have a critical role through active keywords. Full article

The worldwide energy crisis is causing people in most countries to reduce their energy use to prevent the next generation from being unable to fulfill their needs. The Osing people use sustainability values based on traditions passed down from generation to generation with appropriate technology to fit the needs of the people and their environment. This research employs a qualitative descriptive method with a literature review and data collection. Based on the framework used by Iwanmura, Osing house construction primarily focuses on the principles of low impact and health and amenity. This study reveals that the architectural design and construction process of an energy-efficient traditional building can be adapted to contemporary sustainable housing. The primary aim was to identify and analyze sustainability values in the construction process and techniques of traditional Osing houses in Kemiren Village, Banyuwangi, which can serve as a reference for modern sustainable architecture practices. The study reveals the uniqueness of traditional Osing construction using the local material Bendo wood, which can be dismantled from the foundation up to the roof joint systems, thus allowing the materials to be repaired and recycled down to the smallest parts and minimizing construction waste. The advantage of this building construction process is the use of traditional housing techniques to minimize the need for mechanical systems. This traditional construction method, using wood as the building material and considering climatic features, demonstrates how to achieve sustainable building values throughout all elements of a building that provides users with comfort and safety. Full article

Climate change is a pressing global challenge, significantly influenced by human actions. Considering that buildings account for approximately 40% of total US energy use in the United States, this study examines how humanized energy labeling can influence home buyers’ preferences, shaping total energy demand and usage. “Humanized energy and carbon data” refers to the simplification of complex energy metrics into accessible formats for non-expert audiences. By presenting energy data in a user-friendly manner, this approach aims to empower consumers to prioritize energy-efficient buildings, consequently driving demand for sustainable practices in the building sector. To test this approach, a survey of 163 participants was conducted. Participants were presented with six building façade designs in two rounds: one without energy, carbon, or utility cost data, and the second with comprehensive performance information. Results revealed that 77.3% of participants shifted their preferences after reviewing energy-related data. Furthermore, the study found consistent impacts across demographic groups, highlighting the broad applicability of humanized labeling. These findings confirm the potential of humanized energy labeling to influence housing decisions, driving demand for sustainable practices in real estate. By empowering consumers with accessible information, this approach contributes to mitigating climate change while fostering informed decision-making in the housing market. Full article

Digital Twins (DTs) of buildings can generate large volumes of dynamic data from various sources (e.g., sensors and IoT devices), enabling real-time representation of physical building states in a digital environment. Although machine learning (ML) techniques are increasingly used to predict building energy consumption from this DT data, existing approaches often lack scalability in handling data growth (data scalability) and/or adapting to evolving data patterns (model scalability). This study aims to address both drawbacks by developing a scalable cloud-based framework for the prediction of the building energy consumption. A key contribution to the field is the inclusion of a “monitoring and maintenance” module, which continuously evaluates model performance and triggers retraining only when needed. This enables timely adaptation of the ML model while avoiding unnecessary retraining and the associated computational costs. The framework was implemented and tested in a case study of a commercial building for 90 days, demonstrating its applicability. In a practical setting, the developed model could detect anomalies in time when the accuracy declined below the set threshold (70%) for five days and prevented unnecessary retraining of ML models. The findings support the feasibility of using cloud-based approaches to implement scalable ML models for energy prediction in buildings. Full article