Authors:
Arash Bahrehmand
;
Alun Evans
and
Josep Blat
Affiliation:
Universitat Pompeu Fabra, Spain
Keyword(s):
Space Quality, Circulation, Visualization, Visibility, Computational Metric, Graph based Grid, Path Finding.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Information and Scientific Visualization
;
Knowledge-Assisted Visualization
;
Visual Analytical Reasoning
;
Visualization Tools and Systems for Simulation and Modeling
Abstract:
Space, in terms of interior and exterior design, is one of the most important issues facing all architects. In particular the movement of people through sequences of spaces forms a large part of the circulation problem in architecture planning. Although several studies have applied network models on urban analysis to take advantage of graph based queries, understanding interior design principles based on graph attributes shows potential for further research. This paper presents a computational solution to analyse, visualize, and evaluate the circulation quality of indoor spaces. To achieve it, first we create a grid graph based on a geometrical representation of space. Using this grid, a semantic weighted graph is generated, that helps us to provide a measured score for the circulation of people in a given space. The results were tested against architects’ scoring, showing that the measure is adequate. We also discuss the efficiency of our approach.