Dr Katarzyna Sila-Nowicka – 26 June, 2017
Human mobility is vital for understanding expansion processes in urban areas, the establishment of transportation services and the spatial distribution of facilities. Until recently, exploring human mobility in detail was challenging because personal trip data collection methods consisted of expensive and time consuming methods. The development of sensors such as GPS trackers or other wearable devices equipped with various sensors that capture movement data in real-time and at detailed spatial and temporal scales has transformed our ability to collect mobility data. However, even though GPS trackers record an individual’s location and movement very accurately, they do not record essential characteristics of travel behaviour such as travel mode or trip purpose. What can be done to enhance raw movement trajectories in order to uncover these mobility characteristics? And what can be done to publish the data without breaching individuals’ privacy?