Collection and visualization of pedestrian navigation routes with parametric tools

Abstract

Navigation in urban public spaces has proved to be very important factor in creating public life in public spaces. Tracking people movement in most of the studies was done in situ, limited by a small sample of respondents, and the processing of this data was exhausting and long-lasting because it comes down to manual work. On the other hand, virtual environments represent an ideal test site, as the researcher has complete control over the environment. This paper will deal with the method of collecting and processing data about the pedestrian movement through virtual urban space and visualization of these data in parametric software in order to get relevant quantitative sample.