Architecture design studios are complex learning environments in which knowledge develops through critique, collaboration, individual reflection, material exploration, and increasingly digital forms of practice. Although the physical organization of these spaces influences how such activities unfold, research on furniture arrangement remains fragmented across ergonomics, learning environments, educational research, technology-enhanced education, and participatory design. This structured integrative review examined the mechanisms reported between furniture arrangement, related physical spatial configurations, and learning processes in architecture design studios and relevant adjacent educational settings. It also investigated the pedagogical, ergonomic, technological, and cultural conditions under which these mechanisms were reported as supportive or restrictive. Scopus, Web of Science All Databases, and ScienceDirect were searched on 7 August 2026. The searches identified 64 source-level records: 26 from Scopus, 19 from Web of Science, and 19 from ScienceDirect. Eight duplicate records were identified within the ScienceDirect results. Following cross-source deduplication, title and abstract screening, and full-text eligibility assessment, 15 publications were included in the integrative synthesis. Study characteristics, methodological quality, contextual relevance, furniture-related conditions, pedagogical activities, reported outcomes, explanatory mechanisms, evidentiary directness, and transferability were examined through an integrative, mechanism-oriented synthesis. The resulting relationships were subsequently organized through an abductive framework-development process into the provisional Adaptive Studio Learning Ecosystem (ASLE) framework. ASLE comprises five interrelated dimensions: spatial flexibility, ergonomic responsiveness, pedagogical mediation, technological support, and cultural–participatory fit. The synthesis supports activity–layout alignment rather than a universally optimal furniture configuration and indicates that spatial adaptability becomes educationally meaningful only when supported by appropriate pedagogical practices, ergonomic conditions, technological integration, and patterns of user participation. Because the evidence base includes a limited number of direct architecture-studio studies and relies partly on mechanisms transferred from adjacent settings, ASLE should be treated as a provisional, review-derived framework requiring empirical validation.

Urban heat and walkability are often assessed separately, although pedestrians experience street connectivity, topography, vegetation, and thermal exposure simultaneously. This study develops a reproducible open-data workflow to examine the spatial relationship between walkability potential and surface thermal pressure in Loja, Ecuador, an intermediate Andean city shaped by valley morphology, steep slopes, uneven urban expansion, and heterogeneous green-space distribution. The analysis combines Landsat-derived land surface temperature, OpenStreetMap urban-form indicators, DEM-derived slope, composite spatial indicators, and spatial autocorrelation across 100 m, 250 m, and 500 m grids. The results show that walkability potential, observed LST-based heat intensity, and walkability–heat balance is spatially structured rather than randomly distributed. At the 250 m scale, heat-intensity clusters were spatially selective, indicating that surface thermal pressure is concentrated in specific parts of the retained analytical grid rather than uniformly distributed across the city. The 250 m grid provided the most interpretable balance between local detail and spatial stability for this case study, while the 100 m and 500 m grids revealed the sensitivity of the results to spatial aggregation. The study does not measure physiological thermal comfort or pedestrian heat stress. Instead, it offers an exploratory diagnostic framework for identifying where pedestrian-supportive urban form and surface thermal pressure overlap or diverge. This approach can help data-constrained intermediate cities prioritize areas for field verification, shade assessment, green-infrastructure planning, and more detailed pedestrian-level thermal studies.

Apartment floor plans have traditionally been interpreted through qualitative typological readings, but coded floor-plan datasets now enable reproducible quantitative analysis. This article examines architectural metadata from apartment units in Aurinkolahti, Helsinki, Finland, to explore typological repetition, spatial compactness, and selected indicators of domestic spatial quality. Rather than reconstructing full apartment geometries, the study treats each mapped layout as an architectural metadata record and distinguishes it from the number of built apartments represented by that layout. This stock-sensitive distinction allows repeated floor plans to be analyzed as components of housing production, not merely as individual cases. The workflow includes data cleaning, classification-coverage assessment, weighted and unweighted summaries, temporal grouping, compactness metrics, repetition indicators, kitchen-related quality markers, exploratory clustering, and statistical modeling. Results show typological concentration around a limited number of layout families and identify the 2021–2023 period as combining smaller weighted mean floor areas, higher repetition intensity, and lower kitchen natural-light shares. Coded floor-plan metadata are therefore positioned as a limited but useful intermediate form of architectural evidence: more structured than visual typological description, but not a substitute for direct plan analysis or comprehensive housing-quality assessment.