This project aims at mapping the transport enabled connectivity of the city economy. Using traffic data from Sheffield City Council and insights from the census, this project will draw a picture of mobility within Sheffield an across the City Region.
The Network abstraction allows for the identification of critical nodes and links in the city fabric whereas the dynamics can be identified through the timeseries data.
The project would deliver a modelling framework to complement and is some aspect advance the random walk assumption used to model the interaction between economic actors.
Self-funded applicants may apply all year round. Applicants can also apply for a scholarship from the University of Sheffield but should note that competition for these scholarships is highly competitive. Scholarship applications should be made in the autumn with a strict deadline in late January. Specific information is available at: https://www.sheffield.ac.uk/acse/research-degrees/scholarships
Ideally, students should have a background in computing, engineering, physics or mathematic. Excellent mathematical skills are expected and, possibly some knowledge and interest in graph theory and dynamical systems theory.