UCL Energy Institute


Dr. Yuerong Zhang

Lecturer in Geospatial Machine Learning

Bartlett School Env, Energy & Resources

Faculty of the Built Environment

Joined UCL
3rd Apr 2017

Research summary

I have a range of research interests that fall broadly under the umbrella of transport geography, urban analytics and energy. Specifically, I am working on the following research themes. 


-Modelling the resilience of public transport networks 

-New transport technologies and services (electric vehicles, EV charging, MaaS, drones, etc.) 

-Spatial-temporal accessibility 

-Geospatial, machine learning and text mining techniques  

-Transport and energy  


Recently, I have been working on the accessibility of EV chargers and the resilience of railways to extreme weather events. 

Teaching summary

BENV0093: Spatial analysis of energy data (MSc ESDA programme, module leader) 


Doctorate, PhD in Transport and Urban Planning |
University College London
Other higher degree, Master of Science | 2016


Yuerong Zhang is a Lecturer in Geospatial Machine Learning at the Energy Institute, School of Environment, Energy and Resources, Bartlett College. Prior to this she was a Leverhulme Early Career Researcher at the Bartlett School of Planning and a Transport Modelling and Policy Researcher at UCL's MaaSLab. She completed her PhD at the Bartlett School of Planning and UCL's Centre for Advanced Spatial Analysis (CASA).