Search Results (297)

Vernacular housing in the Andean region embodies long-standing building knowledge, environmental adaptation, and forms of social organization rooted in rural life. Over recent decades, these dwellings have undergone visible transformations linked to migration, changing aspirations, and the growing presence of industrialized construction materials. Rather than disappearing, vernacular forms have increasingly merged with contemporary solutions, producing hybrid architectural landscapes whose local dynamics are still insufficiently documented. This study analyzes the material, typological, and functional transformation of rural housing in Las Lagunas and Quisquinchir, two Indigenous communities located in Saraguro, Loja, Ecuador. A total of 192 houses were recorded through field observation and a structured digital survey implemented with KoBoCollect. The information was processed in R using descriptive statistics, contingency tables, chi-square tests, Cramér’s V, and standardized residual analysis. The findings show that architectural change in both communities does not occur through a simple replacement of traditional housing by modern models. Instead, vernacular, hybrid, and modern/eclectic typologies coexist within the same rural setting, revealing uneven and locally specific processes of transformation. The clearest differences emerge in construction materiality. Las Lagunas preserves a stronger presence of traditional wall systems, especially adobe and bahareque, while Quisquinchir shows a broader incorporation of industrialized materials, particularly concrete block. Statistical analysis confirmed significant associations between community and wall material, as well as between typology and wall material, whereas the relationship between community and architectural typology was comparatively weaker. Functional changes were also identified through the reduction or reconfiguration of intermediate spaces such as portals, patios, and corridors, suggesting a gradual shift toward more enclosed and specialized domestic environments. These results contribute empirical evidence for understanding architectural hybridization in Indigenous rural territories and support conservation and planning approaches capable of recognizing continuity, adaptation, and change within evolving Andean built landscapes. Full article

Preserving cultural heritage sites requires an interoperable digital framework capable of integrating heterogeneous spatial data and supporting immersive interaction for inspection and management. This study investigates the integration of multiple heritage data representations—including IFC-based Heritage Building Information Modeling (HBIM), terrestrial and UAV LiDAR point clouds, and 3D Gaussian Splatting reconstructions—into a unified digital management environment for the East Hall (Aula Timur) heritage site within the Bandung Institute of Technology (ITB) campus. A semantic–spatial interoperability workflow is proposed to harmonize BIM, point cloud, and landscape-scale data within a common georeferenced context, supported by a CityGML-based base map of the surrounding site. An immersive virtual environment was implemented using a head-mounted display to enable walkthrough-based inspection and damage annotation. All datasets were georeferenced within a unified coordinate system, allowing spatial registration between digital objects and the physical heritage site. The results demonstrate that multi-source heritage datasets can be integrated with high geometric accuracy, achieving TLS registration errors of approximately 2 mm and georeferencing residuals within 11.1 cm (horizontal) and 0.95 cm (vertical), while preserving semantic information and ensuring spatial coherence across HBIM, GIS, and immersive environments. The system is implemented in VR, with an architecture designed to support future MR-based on-site annotation and visualization. The proposed framework establishes a foundation for future heritage digital twin deployments and supports informed conservation decisions. Full article

In the 1930s and 1940s, Kumbum Monastery (Tibetan: sku’ bum byams pa gling) emerged as a significant spatial node in visual culture during the period of war and modern nation-building in the Republic of China (1912–1949). Through photography, painting, and film, a diverse range of visual media depicted the monastery’s architectural layout, inscribed plaques and steles, Cham dance (Tibetan: འཆམ་, Wylie: ’cham) rituals, lamaic prayers, and scenes of temple fairs and marketplaces. These visual representations not only documented historical detail but also constructed a composite space in which sacredness, transcendence, and secularity intersected. Due to its unique geographical location, religious doctrines, historical narratives, and political entanglements, Kumbum functioned as both a spiritual center and a politically charged symbol. Within this visual discourse, cham rituals and collective prayers were imbued with wartime ideological meanings, aligning religious transcendence with the national aspiration for resistance and victory. The inscribed plaques by state officials visually asserted political authority over sacred religious spaces, while the depiction of temple fairs foregrounded the entanglement of religious practices with everyday secular life, becoming key arenas for ethnic integration and political mobilization. Artists and photographers actively engaged with and reproduced both the symbolic and the quotidian landscapes of the monastery. These visual materials contributed to the broader project of narrating the Republic’s frontier and constructing the nation’s image. By examining how both monastic actors and external observers visually constructed Kumbum Monastery’s political and spiritual space, this study illuminates the complex interplay between religion and state power, and shows how visual media articulated ideological meanings and negotiated spatial relationships as collective responses to the site within the conditions of modernity. Full article

Large-scale landscape transformation in mountainous regions during the Late Iron Age remains insufficiently integrated into broader debates on European urbanism. In southwestern Transylvania, extensive slope terracing came to define the spatial core of the Dacian political centre. This study examines the scale, organization, and social implications of this engineered landscape using high-resolution LiDAR data and spatial modelling. Over 4000 anthropogenic terraces were identified, and their spatial patterning was analysed through Kernel Density Estimation (300 m and 800 m radii) in order to evaluate intensity gradients and territorial articulation. The results indicate compact nuclei of high terrace concentration embedded within a broader, yet continuous, system structured along ridge corridors and circulation routes. The spatial correlation between terrace density and elevated architectural features suggests differentiated building practices and hierarchical organization within a territorially extensive settlement pattern. Rather than representing isolated fortified sites, the Dacian mountain core emerges as an integrated and infrastructurally connected landscape. These findings support the interpretation of the area as a form of Late Iron Age low-density urbanism, in which habitation, mobility, and social differentiation were materially embedded in large-scale topographic modification. Full article

The rapid digitalisation of the agri-food sector has generated unprecedented volumes of farm and value chain data, but also highly fragmented data ecosystems and asymmetric power relations between farmers, technology providers, and public authorities. In response, the European Union has developed a comprehensive data governance architecture—including the Data Governance Act, the Data Act, the GDPR and the EU Code of Conduct on Agricultural Data Sharing—and is building a Common European Agricultural Data Space (CEADS). This article examines that governance framework and explores its implications for the agri-food sector in Spain. Through a qualitative legal policy review, we map the regulatory landscape, analyse five major European and Spanish initiatives (CEADS/AgriDataSpace, AgData, Agdatahub, RegenAg-X, and DADS), and use Spain as a national case study. A multi-level actor model (meta-governance, data originators, transformation intermediaries, and data users) structures the comparative analysis. On this basis, six design principles for responsible agri-food data spaces are identified: clarity of use cases, inclusive multi-stakeholder governance, data life cycle mapping, privacy and sovereignty by design, a fair economic model, and regulatory compliance as a trust factor. The article identifies open research questions on anonymisation of georeferenced data, data sovereignty, and equitable value distribution, and outlines an agenda for future empirical and legal research. Full article

Artificial intelligence is increasingly embedded in cyber–physical systems that coordinate sensing, computation, communication, and control across critical and semi-critical physical environments. Within the European Union, however, its adoption is shaped not only by technological maturity and economic value, but also by an increasingly dense regulatory landscape governing data processing, cybersecurity, product security, accountability, traceability, interoperability, and safety-relevant deployment. A PRISMA ScR-informed scoping review is used to examine how European Union regulation influences artificial intelligence adoption across four representative domains: energy and smart grids, smart buildings, mobility and transport systems, and industrial and manufacturing environments. The analysis draws on primary legal sources, the peer-reviewed literature, and policy and standards-related materials, and is structured around three dimensions: regulatory barriers, technological and architectural challenges, and cross-sector implications for governance, innovation, and competitiveness. The results show that regulation functions simultaneously as a constraint and an enabling condition. It increases compliance burden, raises integration complexity, and slows deployment in higher risk settings, while promoting trustworthy artificial intelligence, stronger cybersecurity, lifecycle governance, clearer accountability, and more interoperable digital infrastructures. The central finding is that regulation is not external to artificial intelligence adoption in cyber–physical systems, but actively shapes the design space within which such systems can be developed, integrated, validated, and scaled. Future progress therefore depends on regulation-aware systems engineering, stronger implementation guidance, and cross-sector reference architectures capable of aligning legal compliance with technical architecture and operational value creation. Full article

Global urbanization is shifting from incremental expansion to stock optimization, and old residential communities have become important spatial units for low-carbon transition. However, in existing built environments, traditional process-based inventory methods face practical constraints, including missing original drawings, complex site conditions, and severe vegetation obstruction. As a result, systematic accounting of buildings, landscapes, and natural carbon sinks remains difficult. This study integrates life cycle assessment (LCA), BIM reverse modeling, 3D point clouds, DesignBuilder simulation, inventory-based accounting, and i-Tree Eco to construct a life cycle carbon emission accounting framework for old residential communities. The framework links current-condition data reconstruction, quantity take-off, operational energy simulation, landscape inventory accounting, and vegetation carbon sequestration assessment. It is applied to Nanyuan Xincun in Hefei to quantify the community-scale carbon source–sink structure. The results show that Nanyuan Xincun presents a clear operation-led emission pattern, with the operation and maintenance phase accounting for 82.52% of total positive emissions. Within architectural engineering, operation and maintenance accounts for 82.91%, while material production accounts for 13.28%. Landscape engineering shows a more mixed structure, with operation and maintenance accounting for 52.95% and material production accounting for 36.49%. Vegetation carbon sequestration analysis shows that mature trees and shrubs are the main ecological carbon assets. Annual sequestration reaches 16.95 t-CO₂e/a, and trees and shrubs contribute 92.85% of total vegetation carbon storage. Under current vegetation conditions, annual sequestration is equivalent to 32.99% of annual landscape operation emissions, indicating considerable ecological compensation potential. Based on these findings, this study proposes four optimization pathways: operational energy reduction, low-carbon material substitution, construction and demolition waste recycling, and mature tree protection. These pathways provide data support for refined carbon management and low-carbon renewal in existing communities. Full article

This manuscript addresses the challenge of designing low-carbon and climate-neutral landscapes. While gardens and green spaces are commonly perceived as environmentally beneficial, they may generate significant greenhouse gas emissions throughout their life cycle. Despite the widespread application of carbon footprint assessment in building design, its integration into landscape architecture remains limited. The aim of this study is to systematize the concept of the garden carbon footprint and to develop a coherent framework for its evaluation. The research adopts a conceptual synthesis approach based on an interdisciplinary literature review, supported by a simplified Life Cycle Assessment (LCA) methodology. A component-based model is proposed, integrating embodied carbon, operational emissions, and carbon sequestration. The results demonstrate that the carbon performance of designed landscapes varies significantly depending on design strategies and management approaches. Importantly, the findings confirm that climate neutrality may be possible under specific conditions, particularly at larger spatial scales. The proposed framework contributes to the integration of carbon footprint assessment into landscape design processes and supports the development of low-emission, climate-resilient solutions. Full article

The National Register of Historic Places (NR) is a structured artifact of meaning-making that encodes disciplinary values linking architectural and cultural significance to wealth and stylistic distinction. In doing so, it systematically underrepresents vernacular, working-class, and the built environments of racially and ethnically marginalized communities. This paper uses artificial intelligence (AI) to examine how that meaning is constructed. We analyze the preservation record across three scales: a national dataset of 100,117 NR listings (1966–2025), a state-level profile of Illinois’s 1997 NR listings, and a close analysis of Lake Forest, Illinois, a community whose exceptional concentration of NR-listed estate architecture makes it an ideal site for examining how preservation significance has been defined and what it excludes. Two parallel AI methods are applied to eighteen Lake Forest nomination documents and their associated photographs. Natural Language Processing (NLP) analyzes nomination text to trace how preservation professionals connect buildings to cultural value; blind AI image analysis examines the same properties to assess how a model trained on cultural imagery constructs visual meaning independently. NLP analysis reveals a corpus dominated by architectural description, with social history, landscape, and labor systematically underrepresented. The visual analysis confirms and amplifies the nomination record’s class-based assumptions while reproducing the same omissions regarding labor, diversity, and community context. These findings inform debates about AI’s potential to audit existing listings and support nominations for underrepresented property types, while showing that without deliberate corrective design and policy reform, such tools are as likely to replicate the preservation system’s inequities as to repair them. Full article

Although livestock buildings constitute a widespread and structurally significant component of the rural landscape, they are, in most cases, characterised by construction configurations primarily driven by production requirements. Such an approach rarely results from a conscious design process capable of integrating architectural criteria with the environmental context in which these structures are embedded. Within this framework, the prevailing construction model—based on prefabricated steel systems and sandwich panels—prioritises rapid execution, standardisation, and cost efficiency, while relegating aspects such as environmental quality, material circularity, and landscape integration to a marginal role. Against this background, the present study investigates the possibility of redefining this paradigm through a technological substitution grounded in the principles of bio-based construction, technological design, and circular economy. To this end, a timber-based architectural solution for poultry houses is developed and adopted as an experimental case study to assess environmental and economic performance through an integrated methodology combining Life Cycle Assessment (LCA) and Construction Cost Analysis. The evaluation is conducted comparatively against a conventional steel-based system, maintaining consistent geometric and functional parameters, within the climatic context of the Italian Mediterranean and in accordance with EN 15978 and EN 15804+A2 standards, over a 30-year reference period. The results indicate a significant reduction in environmental impacts for the timber-based solution, with a decrease in Global Warming Potential of approximately 29%, reaching values close to 50% when accounting for biogenic carbon storage. From an economic perspective, the alternative solution entails an increase in initial costs of approximately 20%, primarily associated with the adoption of a high-performance building envelope. Overall, the study demonstrates how architectural technological design, when supported by quantitative assessment tools, can operate as an effective driver for the ecological transition of rural productive landscapes. Full article

Flood-prone riverfront zones face increasing challenges due to climate change, urbanisation, and legacy industrial development. Riverfront regeneration presents a unique opportunity not only to restore ecological function and public amenity but also to integrate adaptive architectural strategies that enhance flood resilience. This study aims to investigate the interplay between riverfront regeneration and adaptive architectural planning in flood-prone areas. This study provides a framework for understanding how built form, landscape infrastructure, and socio-spatial systems were developed to mitigate flood risk while reactivating riverfronts. Through a literature review and a methodology that integrates comparative case study analysis with generative scenario modelling, key design typologies were identified, including amphibious buildings, multifunctional embankments, and dynamic land-use zoning, and their performance was evaluated in terms of flood risk reduction, amenity provision, and community resilience. Based on the results, recommendations are proposed for practitioners and policymakers on advancing integrated riverfront regeneration in flood-prone regions, emphasising the necessity of multi-stakeholder governance, adaptable architectural strategies, and nature-based infrastructure. Full article

In the renewal of rural self-built houses, dispersed construction patterns, insufficient design guidance, and resource constraints often lead to tensions between individual building needs and the overall settlement landscape. Grounded in the theory of spatial self-organization, this study proposes a roof interface renewal framework of “Clustering–Collaboration–self-organization,” and takes Dianju Village in Anning City, Yunnan Province, as a case study to explore how limited architectural interventions can address the fragmentation of roof landscapes in rural settlements. This research adopts a mixed-method approach combining ethnographic fieldwork, resident design observation, and post-occupancy evaluation (POE). The POE was conducted with 16 participating households, focusing on residents’ perceptions of roof usability, visual order, material acceptance, opportunities for neighborhood interaction, and maintenance issues. The findings indicate that residents generally perceive that continuous roof treatment, the application of bamboo–timber materials, and adjustable structural units have improved the usability of roof spaces, while enhancing their recognition of the overall village image and the expression of local materials. At the same time, residents’ feedback suggests that the long-term performance of bamboo–timber materials still depends on continuous maintenance and appropriate structural protection. The contribution of this study lies in translating spatial self-organization theory into a participatory and locally adaptive process of rural landscape renewal. Rather than providing a directly replicable roof typology, this case offers exploratory insights into key interface identification, resident negotiation, and localized construction strategies for the renewal of rural self-built houses in developing and transitional contexts. Full article

The integration of Building Information Modeling [BIM] and Digital Twins [DT] has emerged as a central driver of digital transformation in the architecture, engineering, and construction sector. Yet, its systemic impact remains constrained by conceptual fragmentation and uneven institutional adoption. This study synthesizes contemporary BIM–DT scalability and each to identify dominant technological and application dimensions, examine the governance conditions shaping scalability, and develop an analytical framework that advances understanding beyond technology-centered syntheses. A two-stage analytical design was employed, combining bibliometric keyword co-occurrence analysis of 1295 Scopus-indexed records with systematic qualitative synthesis of 56 peer-reviewed journal articles published between 2020 and 2025, following PRISMA guidelines. Six interrelated analytical dimensions characterize the current BIM–DT research landscape: BIM–DT integration advancements and applications; interoperability and visualization; safety enhancement; energy efficiency; data-driven decision making; and stakeholder collaboration. Across these dimensions, a persistent misalignment emerges between technological capability and organizational readiness, with deficiencies in standards, governance, and sociotechnical coordination constituting the principal barriers to large-scale deployment. The findings reframe BIM–DT convergence not as a discrete technological upgrade but as the emergence of a coordinated socio-technical information ecosystem spanning the full building lifecycle. By foregrounding governance conditions, data stewardship, and institutional coordination, this study extends understanding of how digital twins expand BIM from design coordination to operational governance and establishes a foundation for more systematic implementation of intelligent, resilient, and sustainable built-environment systems. Full article

Over the past decade, Building Information Modelling (BIM) has become increasingly adopted across the Architecture, Engineering, Construction, and Operation (AECO) industry. As its use in practice has expanded, BIM has also received growing scholarly attention. Existing research has largely concentrated on specific applications of BIM, such as construction management, sustainable building design, infrastructure development, and facility management. However, comparatively limited attention has been given to examining BIM implementation from a global perspective. This study addresses this gap by applying a scientometric approach to analyse global BIM implementation research published between 2004 and 2023. The analysis is conducted using co-authorship, co-word, and co-citation analysis to map the structure and development of the research field. A total of 1349 published articles were obtained from the Scopus database for the analysis. The study identifies the most productive and influential contributors to BIM implementation research, including leading researchers, research institutions, countries, subject areas, and academic journals. In addition, the analysis highlights several key thematic domains within global BIM research. These include topics related to Industry Foundation Classes (IFC), Internet of Things (IoT), Geographic Information Systems (GIS), Historic Building Information Modelling (HBIM), and Digital Twin technologies, which appear as prominent keywords within the BIM implementation literature. Beyond mapping these trends, this paper integrates dispersed scientometric evidence into a coherent global perspective, revealing how BIM implementation research has evolved, matured, and diversified across regions and disciplines. It also establishes a structured knowledge base that can serve as a benchmark for future comparative studies, performance assessments, and policy development initiatives in the digital construction domain. These findings provide valuable insights for researchers, practitioners, and policymakers by illustrating landscape of BIM-related research and highlighting potential directions for future investigation. Full article

Background: The cochlea is a specialized sensory organ essential for hearing. To elucidate its cellular and molecular architecture and prioritize candidate genes associated with hearing loss (HL), we constructed a cross-species single-cell transcriptomic atlas of human fetal and postnatal mouse cochleae. Methods: We integrated single-cell and single-nucleus RNA sequencing datasets from human fetal cochleae and postnatal mouse cochleae to build a comprehensive cross-species single-cell transcriptomic atlas. Cell-type annotation, transcriptional regulator analysis, intercellular communication, and disease phenotypes were performed to dissect the cochlear cellular landscape, regulatory programs, and potential HL gene candidates. Results: A total of 19 major cochlear cell types were identified in both species, with conserved cellular composition and transcriptional programs. Comparative analysis revealed strong transcriptional conservation between matched human and mouse cell types, particularly in supporting, schwann cells and hair cells. Cell–cell communication analysis revealed conserved signaling pathways, including the BDNF-NTRK2 axis, potentially involved in cochlear development and auditory function. Regulatory network inference uncovered conserved and previously undercharacterized transcription factors, such as SKOR1, RFX2, and PAX2, predicted to be associated with hair cell identity and function. We further defined a conserved gene module of 3138 hair cell-enriched genes, from which 24 candidate HL-associated genes (e.g., ATP8B1, BDNF, and SOD1) were prioritized through integration with human disease databases and mouse auditory phenotype annotations. Conclusions: This study provides a high-resolution cross-species cochlear atlas, revealing conserved molecular programs and candidate HL-associated genes, offering valuable insights into auditory biology and potential avenues for further investigation. Full article