Back to Wiki

[84] EXPLORING RELATIONSHIPS BETWEEN LOCATIONS OF DAILY ACTIVITIES AND PERMEABILITY OF SPACES USING VISIBILITY GRAPH ANALYSIS: Taking Vernacular Houses in Izena, Ryukyu as Examples

Seed Paper Seed Paper (General / Unclassified) 2023

Paper Description extracted from PDF · abstract · 146 words

This study aims to understand how the characteristics of the architectural space are manifested by applying two inquiry methods, the visibility graph analysis (VGA) and the analysis of occupants’ actions in combination. The visibility properties of a house are analysed in relation to the room layout and the distribution of occupant actions in two conditions, with or without an exterior. Subsequently, the sociality of vernacular houses is explored by applying these research methods together. This study uses five typical traditional private houses in Izena, Ryukyu as a case study. Keywords. Spatial Configuration, Visibility, VGA, Occupants’ Actions, Vernacular House, Izena, Ryukyu 1. Introduction An essential issue in architectural planning and design is understanding the relationship between human activities and spatial organization. These relationships can be applied to the design of the spatial configuration of a building that is expected to create a preferable relationship with the occupants.

AuthorsKenichi Shinozaki and Haruyuki Fujii
Year2023
VenueProceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
DOI10.52842/CONF.CAADRIA.2023.2.481
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortConsolidation (2023)

Extracted Methodology heuristic — verify before citing

Primary MetricAccuracy (heuristic — verify)

Lineage Families

None assigned

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

None

Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026