I graduated from the University of Leeds with First Class Honours in BA Geography in 2020, before beginning a 4-year integrated PhD and MSc in Data Analytics and Society. I am in my first year of this funded scheme, hosted through the CDT. I am also affiliated with Leeds Institute of Data Analytics (LIDA), and worked as Events Coordinator last year for Leeds Data Science Society. My PhD is fully funded, and my project partner is Ordnance Survey.
My PhD aims to postulate implications associated with autonomous mobility (i.e. autonomous cars, taxis and buses) on urban areas and the lived human experience within cities. The implementation of a wholly autonomous mobility system presents policy challenges in relation to access, design, and vehicle ownership. This PhD project will take on these broader implications of autonomous mobility, using agent-based modelling (ABM) to explore the spatial, social, and policy implications of AVs at the urban scale.
With an ABM in place, I will explore policy and urban design solutions aimed at maximising the benefits of autonomous mobility for the city and its citizens. By building ABMs of mobility at the urban scale, innovative solutions towards the inherent computational challenges can also be expected to be an output of the research. The PhD project will interface with and benefit from the vast array of research into agent-based modelling, urban analytics, and future mobility ongoing in the School of Geography, Institute for Transport Studies, and Leeds Institute for Data Analytics (LIDA).
- BA Geography (First Class Honours), University of Leeds
- MSc Data Analytics and Society, University of Leeds (current)