Mark’s PhD research focused on innovative developments in pedestrian GPS-based route prediction by investigation of one of its main preprocessing components, the extraction of discrete`journeys’ from longer GPS position histories. It examined the notion that a common user-held concept of a journey is what prediction algorithms typically try to reproduce, and hence that better approximation of these could improve route prediction.
After graduating in July 2014, Mark commenced a two-year Knowledge Transfer Partnership project in Nottingham as a Research Associate at Integrated Planning Planning Ltd. The aim of the project was to use crowdsourcing to develop a database of location accessibility information for use by disabled people. Mark is now a Lead Software Developer at the company.