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Dr. Yuerong Zhang
Dr. Yuerong Zhang profile picture
Appointment
  • Lecturer in Geospatial Machine Learning
  • Bartlett School Env, Energy & Resources
  • Faculty of the Built Environment
Biography

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).  

Research Groups
Research Themes
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) 
Appointments
01-OCT-2022 Lecturer in Geospatial Machine Learning Bartlett School of Environment, Energy and Resources Energy Institute, United Kingdom
01-OCT-2021 Leverhulme Eearly Career research fellow Bartlett School of Planning University College London, United Kingdom
01-OCT-2020 – 30-SEP-2021 Research fellow in Transport policy and modelling The Bartlett School of Environment, Energy and Resources University College London, United Kingdom
Academic Background
2016   Master of Science University College London
    PhD in Transport and Urban Planning  
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