Variability of people's activity space using GPS-based trajectory data

The increasing popularity, usage, and ubiquity of mobile devices, as their easy access to global positioning systems (GPS), has promoted new research approaches in the transportation field. The easy way to collect data allows to extract and classify episodes of people's daily activity based on their location data, without additional information. This study presents a spatial activity analysis of a group of people from Quito, most of the Central University of Ecuador. The spatial variability analysis of the trajectories generated by GPS tracking will allow us to identify common daily, weekly, or monthly travel-behavior patterns. The method, developed in Python and R, gives all potential for initial data processing related to trajectory and spatial information from participants, respectively, to be analyzed later with demographic data