Data-Driven Analysis of Spatial Patterns through Large-Scale Datasets of Building Floor PlanCAADRIA 2021 Paper, Honkong, China (Online)
This paper introduces a unique quantitative analysis method
and results that are differentiated from those in existing studies. We
analyzed five types of information in floor plan images: the silhouette,
number of rooms, room area, and direct and indirect room connectivity.
Furthermore, the analysis used a large-scale apartment unit dataset
consisting of 33,892 units. We present convincing and objective
spatial pattern analysis results of Korean apartments by quantitatively
analyzing a large-scale dataset. It is expected that the analysis results
will clarify the characteristics of the residential environment of Korean
apartments. The results suggest that changes in lifestyles lead to the
modularization of bedrooms, increased numbers of private bathrooms
and balconies with corridors as junctions, and the diversification of room
layouts.
Keywords: Floor Plan Analysis; Design Quantification; Residential
Layout; Spatial Pattern Analysis; Semantic Fingerprint.