Frontiers of Architectural Research最新文献

The Isfahani style represents a method of traditional Iranian architecture and urban development that existed in the early 20th century and is regarded as a leading model in most traditional Iranian cities. It exhibits several vigorous features contributing to its recognition as a traditional approach to sustainable architecture and urban development. This research endeavors to reveal a theoretical framework beneath these inspiring aspects using the typology of sustainable modern forms, including the hierarchy, passive design strategies, compactness, density, diversity, mixed land use, pluralism, balance, good composition, and integration over time. To this end, the study employs qualitative research methods, drawing from traditional samples, to identify innovative, energy and socially efficient, and low-impact strategies implemented in this vernacular architecture of Iran's semi-arid and hot climates. The findings revealed that the neighborhood concept as a local and plural community (Mahalla) was a vital phenomenon in Iran's urban development. Apparently, the demise of this paradigm effectively played an important role in the numerous challenges regarding the social, energy, and economic viability of modern Iranian cities. Hence, this study presented theoretical frameworks—aligned with sustainable concepts—from the Isfahani style through its analysis, classification, and interpretation, which can contribute to modern urban development.

This paper presents an analytical framework for evaluating the impact of the two main processes identified in Madrid timber-framed courtyard buildings reinforcing the courtyard's crucial role in architectural heritage sustainability: their development caused dwellings to darken (1737–1950), and the existing challenge is to open new patios according to the listed buildings' protection policy.

Critical findings in archival research and existing building assessments led to completed data collection and analysis. When exploring construction expansion, from the house towards the collective prototype around a gradually reduced patio and dwelling darkening (1737–1786), buildings resulted in open, semiopen, underlighted and closed designs. Study area on-site assessment uncovered the transition from the older low-rise type (1–3) floors to the modern closed model of up to (4–6) storeys.

Construction enlargements, consequently reducing original green areas and courtyards, call for reversing that process or formulating a new strategy. It debates the partial demolition of listed buildings in upgrades and its agreement with the needed “blue courtyard” strategy (PGOUM), resulting from joining new rear individual patios to create a communal building block courtyard. The uncovered “in-between” type (1864), which integrates two open-air collective spaces, an inner courtyard and a back garden, appears challenging to explore.

This paper, set against the backdrop of expanding urban rail networks and dynamic urban development, focuses on the distribution and evolution of commercial Points of Interests (POIs) within the central urban rail transit areas of Beijing. The study examines data from four different years—2008, 2013, 2017, and 2020—to observe the temporal evolution of commercial entities. It identifies stable explanatory variables affecting the distribution and evolution of commercial POIs, which include rail transit accessibility, characteristics of the working and residential population distribution around stations, and the construction intensity in the vicinity of station areas. Through statistical analysis and model building, relatively stable linear regression equations were established, with R² values generally maintained above 0.5 (except for 2017). The study advances our understanding of the influence of rail transit on urban commercial spaces and how this influence shifts with temporal and urban developmental changes. It elucidates the correlation between changes in the number of businesses and spatial configuration, offering insights and information for urban planners and policy makers. This research also serves as a model for exploring the interplay between urban rail transit and commercial spaces in other major cities.

This study is a digital form-finding and manual fabrication experiment in woven architectural design, with one traditional weaving style, Kagome, used to scale the craft up into an architectural-scale bamboo woven artifact. Kagome is a trihexagonal pattern employed in traditional bamboo basketry as a triaxial weaving system, resulting in an object with a self-bracing capacity without the use of fasteners owing to its interlacing lattices. Although existing studies and tools have addressed triaxial weaving design and representation, the current consideration of the advantages of weaving with bamboo is insufficient. To address this research gap, this study develops a computational design method based on studies on bamboo basketry. This allows for the representation and exploration of design geometries using combinations of regular triangular meshes for the fabrication of Kagome woven bamboo artifacts. A full-scale mock-up was fabricated to evaluate the effectiveness of the method. The mock-up demonstrated the self-bracing properties of Kagome, but there were discrepancies between the mock-up and the design. Factors affecting bamboo weaving on an architectural scale have been identified within this study to inform future research on woven bamboo structures.

In today's world, various approaches and parameters exist for designing a plan and determining its spatial, placement. Hence, various modes for identifying crucial locations can be explored when an architectural plan is designed in different dimensions. While designing all these modes takes considerable time, there are numerous potential applications for artificial intelligence (AI) in this domain. This study aims to compute and use an adjacency matrix to generate architectural residential plans. Additionally, it develops a plan generation algorithm in Rhinoceros software, utilizing the Grasshopper plugin to create a dataset of architectural plans. In the following step, the data was entered into a neural network to identify the architectural plan's type, furniture, icons, and use of spaces, which was achieved using YOLOv4, EfficientDet, YOLOv5, DetectoRS, and RetinaNet. The algorithm's execution, testing, and training were conducted using Darknet and PyTorch. The research dataset comprises 12,000 plans, with 70% employed in the training phase and 30% in the testing phase. The network was appropriately trained practically and precisely in relation to an average precision (AP) resulting of 91.50%. After detecting the types of space use, the main research algorithm has been designed and coded, which includes determining the adjacency matrix of architectural plan spaces in seven stages. All research processes were conducted in Python, including dataset preparation, network object detection, and adjacency matrix algorithm design. Finally, the adjacency matrix is given to the input of the proposed plan generator network, which consequently, based on the resulting adjacency, obtains different placement modes for spaces and furniture.

The climate crisis disproportionately impacts disabled people. Yet climate-related advocacy, planning, and policymaking often neglect to thoughtfully include disabled people. Responding to this gap, disabled and neurodivergent environmental activists coined the term eco-ableism to describe discrimination and silencing toward disabled and neurodivergent people (i.e., ableism) arising in environmental spaces (i.e., eco-ableism). Relatedly, building operations and construction practices contribute a significant percentage of global, energy-related CO₂ emissions annually, which calls into question the relationships between the impending climate crisis, disability justice, and architecture. Climate-specific, natural building materials and methods present a potential pathway toward a more sustainable built future: low-carbon, locally sourced, minimally processed, and nontoxic materials. Despite a critical overlap, there is little published research on material access in the production phase and human access in the occupation phase of natural buildings. Applying eco-ableism and material circularity in an architectural framework, this research aims to investigate the gaps and possibilities of access, natural material applications, and resulting US natural buildings informed by scholarship in critical disability studies and semi-structured interviews with natural building professionals.

This research explores the capacity of emerging technologies to enhance well-being. It involves the generation of 2D biophilically-driven geometries to represent human-response-oriented built environments and conducts inter and intra-individual analyses to assess human responses using a range of technologies within the realms of facial micro-expression analysis and EEG biosensor use. The outcomes of this analysis allow for the grading of these geometries in terms of emotional valences, meditation levels, and subjective preferences. These graded geometries can subsequently be employed in specific architectural contexts, such as interior decor, wallpapers, furniture surfaces, or other architectural and interior components. It is an interdisciplinary effort that underscores the importance of incorporating emerging technological means with human-response-oriented design approaches to foster built environments that promote well-being.

This paper discussed the selection criteria for Ordinary Urban Heritage (OUH) in Rattanakosin, the historic center of Bangkok through the case of ordinary restaurants and everyday foods. The OUH stands for an alternative approach to heritage understanding and conservation, derived from the notion of ordinary heritage, vernacular heritage, and urban heritage emphasizing the heritages of the everydayness of ordinary people. The OUHs have co-existed and inherited through the evolution of the city but are overlooked by the official conservation process. Ordinary restaurants and everyday foods were selected by 5 criteria, 1) appeared for more than 50 years; 2) created, developed, and used by ordinary people; 3) found as the clusters; 4) able to be adapted to the urban context; 5) exist until the present day.

The methodology applied to the analysis of the historical documents and Bangkok maps from 1887 to 1974, and the selection criteria developed from past research in another old commercial district of Bangkok were also reinvestigated with observational surveys. Ordinary restaurants and everyday foods are the outcomes representing the heritage of everyday life of ordinary people that are ubiquitously related to commercial activities.

Identifying thermal bridges on building façades has been a great challenge for architects, especially during the conceptual design stage. This is not only due to the complexity of parameters when calculating thermal bridges, but also lack of feature integration between building energy simulation (BES) tools and the actual building conditions. For example, existing BES tools predominantly calculate thermal bridges only in steady state without considering the temperature dynamic behaviour of building outdoors. Consequently, relevant features such as thermal delay, decrement factor, and operative temperature are often neglected, and this can lead to miscalculation of energy consumption. This study then proposes an integrated method to calculate dynamic thermal bridges under transient conditions by incorporating field observations and computational simulations of thermal bridges. More specifically, the proposed method employs several measurement tools such as HOBO data logger to record the actual conditions of indoor and outdoor room temperature and thermal cameras to identify the surface temperature of selected building junctions. The actual datasets are then integrated with the simulation workflow developed in BES tools. This study ultimately enables architects not only to identify potential thermal bridges on existing building façades but also to support material and geometric exploration in early design phase.