Ownership and mobility services in an automated vehicle environment, and its impact on energy use, carbon emissions and distributional equity

Supervisor(s)

Dr Zia Wadud and Professor Jillian Anable. Contact Dr Zia Wadud to discuss this project further informally.

Project description

One of the largest uncertainties in modelling the implications (including energy) of automated vehicles is how far the existing vehicle ownership will be replaced by automated mobility services. Although there is a large media hype toward a near total switch to automated electric mobility services, early work (by the supervisor) points out to the limitations of the few existing studies and indicates that this may not be the case. Even within automated mobility services there are options between exclusive use and shared use, which have different implication for traffic and energy consumption.

This project will investigate these various potential modes (ownership, automated ridehailing, automated ridesharing), and their potential relative share in future. This will then be used to calculate potential energy, carbon and distributional implications of automated vehicles. Depending on the student’s interest and expertise, various methods may be used including data analysis and visualization, rule-based heuristics, econometric modelling, qualitative methods such focus group study. However, there will remain a strong quantitative component.

Entry requirements

Applications are invited from candidates with or expecting a minimum of a UK upper second class honours degree (2:1), and/or a Master's degree in the relevant subject area. Quantitative background is essential. Some expertise in data handling, analysis and visualization, econometric modelling will be very useful.

If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.

How to apply

Formal applications for research degree study should be made online through the university's website. Please state clearly in the research information section that the PhD you wish to be considered for is the ‘Ownership and mobility services in an automated vehicle environment, and its impact on energy use, carbon emissions and distributional equity' as well as Dr Zia Wadud as your proposed supervisor.

We welcome scholarship applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.

If you require any further information please contact the Graduate School Office e: phd@its.leeds.ac.uk, t: +44 (0)113 34 35326.