Search Results (90)

In the context of climate change and the challenge of strengthening urban biodiversity, this paper examines the potential of speculative drawing as a methodological tool for developing biodiversity scenarios of the cityscape within the framework of the New European Bauhaus initiative. The research is based on the initiative’s core values of beautiful, sustainable, and together, and is conducted using a drawing-based methodology grounded in inductive reasoning across three spatial scales in Block 30, which is part of the spatial cultural-historical unit of the Central Zone of New Belgrade. The potentials for biodiversity development are explored at the scale of the apartment, the facade, and the open space of the block. By examining the interactions between the indoor and open spaces of mass housing, ecological potentials emerge. The experimental process demonstrates that drawing can function as a methodological tool that reveals opportunities for community engagement through drawing practices. The proposed layering of drawings offers interpretations of cityscape transformation at each of the three scales. Through speculative scenarios, the drawings provide a methodological tool to co-create biodiversity interventions in mass housing as a sensitive architectural layer within the design process, fostering a new understanding of the relationship between nature and the cityscape. Full article

This study addresses the critical challenge of translating the profound social, spatial, and cultural dynamics of the traditional introverted Persian house into more tangible design metrics for contemporary Iranian housing. Relying on qualitative data from twenty-four diverse expert interviews across architecture, urban planning, and policy, the research demonstrates a broad consensus that the notion of replicating historical form is unsustainable. Instead, it indicates that the introverted configuration is likely a context-specific ontological imperative—viewed here as a fundamental socio-spatial requirement—rooted in measurable performance, serving simultaneous social, cultural, psychological, and environmental paradigms. The main findings show that preserving cultural continuity requires a shift from aesthetic conservation to prescriptive configuration. This logic is synthesised into a consolidated socio-spatial framework, whose originality lies in introducing three regulatory design instruments: (1) the sequenced depth and filtration protocol for spatial arrangement; (2) the controlled visual and environmental parameters for façade performance; and (3) the cultural adaptability and resilience requirement for functional programming. The framework’s prescriptive metrics, such as minimum space syntax values and the visual filtering coefficient, provide regulatory bodies with the precise technical tools necessary to enforce cultural protocols like privacy and dignity in high-density urban developments. While these metrics serve as an operationally promising model, they represent a theoretical framework that requires further empirical validation in diverse contemporary residential settings before mandatory regulatory adoption. This framework offers a pragmatic pathway for safeguarding Iranian housing’s cultural identity, ensuring future developments are certified not only for safety and structure, but for their adherence to the fundamental socio-spatial contract of the Persian dwelling. Full article

This paper addresses the issue of lighting in historic urban spaces, using Tarnow (Poland) as a case study. The aim is to assess the impact of artificial light sources on visual comfort within the area, with particular consideration given to light pollution. A comprehensive inventory of active street lighting in the Old Town was conducted. Measurements taken at ground and eye level revealed strong inconsistencies: some areas were under-lit (<1 lx), while others showed façade illuminance above 100 lx, far exceeding recommended thresholds. The highest environmental impact was shown by decorative and globe-type fixtures, with Sky Glow Contribution Index (SGCI) values of up to 0.62. Only suspended street luminaires met CIE requirements (ULR ≤ 15%). The findings reveal that several lighting installations do not meet recommended standards, adversely affecting both human comfort and ecological balance. The study proposes strategies to optimise urban lighting, such as replacing inefficient fixtures with full cut-off LED luminaires and implementing intelligent lighting control systems which could reduce energy consumption by 50-67% while preserving the architectural character of the historic centre. The results provide evidence-based strategies for sustainable lighting modernisation in heritage cities across Europe. Full article

Neoliberal privatization models, emphasizing economic advancement over universal fairness, present considerable challenges to the urban regeneration process in post-conflict environments. The Solidere project in Beirut shows how architectural development in the Central District establishes social obstacles through its transformation of 1.8 million m² of war-destroyed territory. This research applies UNESCO’s Historic Urban Landscape (HUL) framework to distinguish regeneration from gentrification systematically and to assess the impact of privatized governance. By employing rigorous case study methodologies to assess master plans, legal statutes, corporate reports, and academic publications, four evaluation criteria for the HUL: historical layering, social participation, spatial connectivity, and physical integrity, were developed. The results show that while Solidere’s physical reconstruction was successful; it did not incorporate HUL principles fully. This resulted in the forced relocation of between 40,000 and 60,000 individuals, the commercialization of heritage through façadism, with 24% of the original buildings being preserved and 76% being destroyed. Sarajevo serves as a point of comparison, revealing the vulnerabilities of profit-driven approaches. The study shows that market-driven reconstruction efforts lacking public engagement will foster exclusionary gentrification, resulting in the erosion of urban identity and ownership, challenging neoliberal urban theories. Full article

This study applies deep learning to classify façade features in Tel Aviv’s market-developed apartment housing (1980s–1990s), a vast landscape typically excluded from architectural history due to its non-iconic character. We constructed a curated corpus of 877 expert-labeled high-resolution façade images and evaluated whether convolutional neural networks can detect historically meaningful patterns at urban scale. Focusing on the “staggered balcony” motif—linked to national regulation 5442/1992—we show that a ConvNeXt-Tiny model achieved robust classification performance (96.6% accuracy, 90.3% F1) after rigorous dataset curation and expert relabeling. Initial experiments on noisier data produced inconsistent results, underscoring the importance of domain expertise in operationalizing historical categories. Rather than treating machine learning as definitive classification, we present an iterative workflow where architectural historians use model outputs to refine categories, test morphological hypotheses, and identify overlooked variations. The findings demonstrate how CNN-based analysis can advance empirical research on non-iconic built environments and open methodological pathways for cultural heritage studies and digital architectural humanities. Full article

Historic towns serve as vital carriers of both tangible and intangible cultural heritage, preserving unique historical memories. Quantitative analysis of their architectural facades is crucial for scientific conservation and cultural continuity. While existing studies predominantly employ qualitative descriptions or small-sample analyses, a systematic and replicable quantitative methodology remains elusive. To address this gap, this study innovatively proposes an integrated framework combining UAV oblique photogrammetric modeling, multivariate statistics, and spatial time series analysis. This framework aims to establish a methodological system for analyzing the morphological characteristics of building facades in historic districts. The study selected main streets from four ancient towns in the Chengdu Plain—Pingle, Anren, Xinchang, and Yuantong—and performed 3D reconstruction and morphological indicator extraction on 365 contiguous facade samples. Factor analysis was employed to reduce dimensionality, identifying three dimensions influencing facade morphology. Combined with cluster analysis for classification, the study systematically categorized four statistically significant and architecturally meaningful facade types. Furthermore, it quantified the sequential patterns and combination modes of street-facing distributions, providing crucial theoretical support and reference for the preservation, renewal, and sustainable development of ancient towns. Full article

Heritage buildings pose persistent challenges for documentation and conservation due to their geometric complexity, material heterogeneity, and the fragmentation of spatial and semantic datasets. To address these limitations, this study proposes a geospatially enabled HBIM–GIS framework that integrates hybrid photogrammetric survey data with semantic modeling and spatial analysis to support evidence-based conservation planning. A multi-source acquisition strategy combining terrestrial digital photogrammetry (TDP), Unmanned aerial vehicle digital photogrammetry (UAVDP), and spherical photogrammetry (SP) was employed to capture accurate geometric and semantic information across multiple spatial scales. Staged point-cloud fusion (UAVDP → TDP via ICP; SP → UAV–TDP via SICP) generated a high-density, georeferenced composite, achieving RMS residuals below 0.013 m and resulting in an integrated dataset exceeding 360 million points. From this composite, authoritative 2D drawings and a reality-based 3D HBIM model were developed, while GIS thematic mapping translated heterogeneous observations into structured, queryable layers representing materials, cracks, detachments, deformations, and construction phases. The proposed framework enabled the spatial diagnosis of deterioration mechanisms, revealing moisture-driven decay from plinth to mid-wall and concentrated cracking at openings and architectural transitions; side-to-side cracks accounted for approximately 55% and 65% of mapped fissures on the most affected façades. By embedding these diagnostics as element-level attributes within the HBIM environment, the framework supports precise localization, quantification, and prioritization of conservation interventions, ensuring material-compatible and location-specific decision making. The applicability of the framework is demonstrated through its implementation on a complex historic mosque in Yemen, validating its robustness under constrained access and resource-limited conditions. Overall, the study demonstrates that geospatially integrated HBIM–GIS workflows provide a reproducible, scalable, and transferable solution for the sustainable documentation and conservation of heritage buildings, supporting long-term monitoring and informed management of cultural heritage assets worldwide. Full article

The Church of San Juan del Hospital in Valencia (Spain) is a Gothic church whose main architectural feature—the western façade—remained unresolved, posing structural and compositional challenges. The intervention addressed this issue while preserving the historical integrity of the building and its heritage context. A systematic methodology was applied, following principles of reversibility, sustainability, and compatibility with medieval ribbed-vault construction. The project resolved five key aspects: completion of the nave’s façade, coverage of the former atrium remains, access from the north courtyard, compositional coherence of the west courtyard front, and integration of the church and museum entrances. Contemporary materials and techniques, including aluminum, recycled wood, and handmade ceramic brick, were selected to harmonize with historic stonework, ensure durability, and minimize environmental impact. Design strategies guided visual perception, emphasizing the lower façade and resolving dispersive compositional elements, while creating functional spaces for ventilation, climate control, and circulation. This intervention demonstrates how a methodical, heritage-sensitive approach can solve complex architectural problems, combining innovation with historical authenticity, and enhancing both the functionality and aesthetic experience of the Church of San Juan del Hospital. Full article

When the breath of a passerby momentarily clouds the glass of a display window that distinctly withdraws from the urban continuum, it signals the presence of a perceptual threshold, an atmospheric interruption before resuming its path. This liminal space engages the observer not through physical entry, but through a multisensory activation. While the notion of atmosphere has been extensively theorised in architecture and environmental aesthetics, its implications remain insufficiently explored within retail design, particularly in the spatial and exhibit design perspective in the display window. Contemporary shop windows aim to engage passersby beyond mere product visibility; the need to articulate and design for atmosphere becomes more urgent. This article offers an atmospheric interpretation of the display window, understood not simply as a commercial interface or spatial facade but as a dioramic device in which all elements are staged in evocative micro-environments. Through the reinterpretation of selected historical and contemporary case studies, the research positions the display window as a privileged site for atmospheric experimentation. By framing window display design as an environmental and perceptual construct, the study contributes to the broader discourse on atmospheres, advancing the atmospheric paradigm as an operative approach for contemporary exhibit and spatial design practices. Full article

Traditional villages, protected as cultural heritage in our country, are rich in historical information, cultural landscapes, and traditional domestic architecture. This article explores the spatial distribution of traditional villages and proposes a new paradigm for the sustainable development of traditional dwellings. It addresses the challenges these villages face, such as natural, social, and inherent issues, arising from rapid socioeconomic development and urbanization. This study analyzes the spatial distribution and architectural features of traditional villages and dwellings in Northern Shaanxi based on 179 national and provincial villages. Using ArcGIS 10.1, the geographic concentration index, kernel density analysis, and the analytic hierarchy process, this study applied both macro and micro level perspectives. The research shows that: (1) The traditional villages in northern Shaanxi exhibit a spatial distribution pattern of “overall aggregation, local dispersion, and uneven distribution.” This pattern is influenced by interactions between natural and human factors. (2) Traditional dwellings in these villages are primarily cave dwellings and courtyard buildings, each reflecting unique architectural features in terms of floor plan layout, facade form, structure, materials, and decoration. (3) Traditional village dwellings in northern Shaanxi face practical challenges related to protection, development, and governance. The top three challenges, based on weighted indicators, are issues related to inheritance, an imperfect protection mechanism, and inherent shortcomings of the buildings. Based on these findings, this study proposes three practical suggestions for the sustainable development of traditional village dwellings in Northern Shaanxi. These suggestions aim to enhance the comprehensive and multi-dimensional sustainable development of traditional village dwellings. Full article

This study evaluates and compares the sustainability performance of selected historic, commercial, and institutional buildings in Istanbul to identify effective climate-responsive and energy-efficient design strategies. The objectives are to assess performance using LEED-based criteria, examine variations across building typologies, and outline implications for future sustainable design. Using an evaluation matrix, responses from 175 experts were analysed across key LEED categories for seven case study buildings. The comparative assessment reveals notable variations in sustainability performance across the seven evaluated buildings. ERKE Green Academy consistently achieved the highest mean scores (≈4.40–4.60), particularly in Sustainable Sites, Water Efficiency, Energy and Atmosphere, and Indoor Environmental Quality. This strong performance reflects its integration of advanced green technologies, optimised daylighting strategies, biophilic elements, and smart system controls. Modern commercial towers, such as the Allianz Tower and Sapphire Tower, recorded strong mean scores (≈4.20–4.50) across categories related to Integrative Design, Energy Efficiency, and Materials and Resources. Their performance is largely driven by intelligent façade systems, double-skin envelopes, automated shading, and high-performance mechanical systems that enhance operational efficiency. In contrast, heritage buildings including Hagia Sophia and Sultan Ahmed Mosque demonstrated moderate yet stable performance levels (≈4.00–4.40). Their strengths were most evident in Indoor Environmental Quality, where passive systems such as thermal mass, natural ventilation, and inherent spatial configurations contribute significantly to occupant comfort. Overall, the findings underscore the complementary value of combining traditional passive strategies with modern smart technologies to achieve resilient, low-energy, and user-responsive architecture. This study is novel as it uniquely demonstrates how traditional passive design strategies and modern smart technologies can be integrated to enhance climate-responsive and energy-efficient performance across diverse building typologies. The study recommends enhanced indoor air quality strategies, occupant education on system use, and stronger policy alignment with LEED standards. Full article

This study investigates the seismic retrofit of historic single-nave churches through the optimization of roof diaphragms designed to enhance energy dissipation. The proposed strategy introduces a deformable box-type diaphragm above the existing roof, composed of timber panels and steel connectors with a cover of steel stripes, where energy dissipation is concentrated in the connections. The retrofit design is guided by the estimation of Equivalent Damping Ratio (EDR) instead of the usually adopted resistance criterion, considering an energy-based approach to improve global seismic performance while preserving architectural integrity. In this way, the retrofitted configuration of the roof can be considered a damper. Three numerical phases are presented to assess the effectiveness of the equivalent damping-based intervention. In the first one, the seismic response of the initial non-retrofitted configuration is implemented using a 3D linear finite element model subjected to a response spectrum. Subsequently, nonlinear equivalent models subjected to spectrum-compatible accelerograms are implemented, simulating the possible retrofitted configurations of the roofs to detect the optimum damping and finding the corresponding roof diaphragm configuration. In the third one, the response of the detected retrofitted configuration is also evaluated by nonlinear 3D model subjected to accelerograms. The three phases with the relative numerical approaches are here applied to a case study, located in a high seismic hazard area. The results demonstrate that the EDR-based methodology can optimize the retrofitted roof diaphragm configuration; the nave transverse response is improved in comparison with that designed with the traditional approach, considering only the over-strength of the interventions. Comparisons about the approaches based on the EDR and the strength criteria are presented in terms of lateral displacements, in-plane shear acting on the roof diaphragm, and in-plane stresses on the façade. Full article

This study examines the transformation of modern residential architecture in Cyprus between 1930 and 1974 through 14 representative residences selected across four historical periods. The study examines the political, social, and cultural contexts extending from the introduction of modern architecture to the island, through the post-Republican era, and the conflict between 1963 and 1974. It aims to comprehensively explore the spatial, climatic, and regional characteristics of modern Cypriot housing. The examples were selected based on criteria such as documentability, period representativeness, architectural originality, and spatial qualities. Data were tabulated based on plan structure, façade layout, use of semi-open spaces, material choices, and climatic adaptation strategies. These parameters were evaluated through comparative analysis to identify changes in modernist expressions, the emergence of regionalist trends, and how Mediterranean environmental approaches were reflected in architecture. The findings demonstrate that the spatial flexibility, interior-exterior continuity, and climatic sensitivity seen in modern housing from the 1930s onward evolved into a more pronounced Mediterranean regionalism with the contributions of local architects after 1950. The study offers a typological, spatial, and climatic analysis unique to the literature on the development of modern residential architecture in Cyprus. Full article

The Shantou Xiaogongyuan Historic District is a significant cultural symbol of the “Century-Old Commercial Port,” embodying the historical memory of the Chaoshan diaspora culture and modern trade. However, amid rapid urbanization, the area faces challenges such as the degradation of architectural façade styles, the erosion of historical features, and inefficiencies in traditional restoration methods, often resulting in renovated façades that exhibit “form resemblance but spirit divergence.” To address these issues, this study proposes a method integrating computer vision and generative design for historical building façade renewal. Focusing on the arcade buildings in the Xiaogongyuan District, an intelligent façade generation system was developed based on the pix2pix model, a type of Conditional Generative Adversarial Network (CGAN). A dataset of 200 annotated images was constructed from 200 field-collected façade samples, including Functional Semantic Labeling (FSL) diagrams and Building Elevation (BE) diagrams. After 800 training epochs, the model achieved stable convergence, with the generated schemes achieving compliance rates of 80% in style consistency, 60% in structural integrity, and 70% in authenticity. Additionally, a WeChat mini-program was developed, capable of generating façade drawings in an average of 3 s, significantly improving design efficiency. The generated elevations are highly compatible and can be directly imported into third-party modeling software for quick 3D visualization. In a practical application at the intersection of Shangping Road and Zhiping Road, the system generated design alternatives that balanced historical authenticity and modern functionality within hours, far surpassing the weeks required by traditional methods. This research establishes a reusable technical framework that quantifies traditional craftsmanship through artificial intelligence, offering a viable pathway for the cultural revitalization of the Xiaogongyuan District and a replicable systematic approach for AI-assisted renewal of historic urban areas. Full article

George Town, the capital of Penang, Malaysia, was inscribed as a UNESCO World Heritage Site in 2008 and is renowned for its multicultural architectural surfaces. However, these historic façades face significant deterioration challenges, particularly biodeterioration caused by weed growth on wall surfaces under hot and humid equatorial conditions. Root penetration is a critical surface defect, accelerating mortar decay and threatening structural integrity. To address this issue, this study proposes YOLOv11-SWDS (Surface Weed Detection System), a lightweight and interpretable deep learning framework tailored for surface defect detection in the form of weed intrusion on heritage buildings. The backbone network was redesigned to enhance the extraction of fine-grained features from visually cluttered surfaces, while attention modules improved discrimination between weed patterns and complex textures such as shadows, stains, and decorative reliefs. For practical deployment, the model was optimized through quantization and knowledge distillation, significantly reducing computational cost while preserving detection accuracy. Experimental results show that YOLOv11-SWDS achieved an F1 score of 86.0% and a mAP@50 of 89.7%, surpassing baseline models while maintaining inference latency below 200 ms on edge devices. These findings demonstrate the potential of deep learning-based non-destructive detection for monitoring surface defects in heritage conservation, offering both a reliable tool for sustaining George Town’s cultural assets and a transferable solution for other UNESCO heritage sites. Full article