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UCL Home  /  Geography  /  People  /  Research Staff  /  James Todd

Dr James Todd

James ToddRole

Research Data Scientist at the CDRC

Contact

UCL Department of Geography,
North West Wing,
London,
WC1E 6BT

UCL Department of Geography,North West Wing,London,WC1E 6BT

Email: james.todd@ucl.ac.uk

  • BA in Geography with Quantitative Methods (2015-2018), Department of Geography, UCL: Anne Oxenham Prize – Best Quantitative Methods Dissertation
  • PhD in Quantitative Human Geography (2018-2022), Department of Geography, UCL: ‘Bicycle Sharing Systems: Fast and Slow Urban Mobility Dynamics’: 'Roger Tomlinson Prize - Best GIS PhD Thesis
  • Associate Lecturer in Quantitative Human Geography (2021-2022) Department of Geography UCL’
    • Todd, J., O’Brien, O., Cheshire, J., 2021. A global comparison of bicycle sharing systems. Journal of Transport Geography 94, 103119. https://doi.org/10.1016/j.jtrangeo.2021.103119
    • Todd, J., Musah, A., Cheshire, J., 2021. Assessing the impacts of Airbnb listings on London house prices. Environment and Planning B: Urban Analytics and City Science 23998083211001836. https://doi.org/10.1177/23998083211001836
    • PhD Thesis: Bicycle Sharing Systems: Fast and Slow Urban Mobility Dynamics

    James is a post-doctoral Research Data Scientist/Engineer, working at the Consumer Research Data Centre (CDRC) at UCL. His current work is focused on developing a new and efficient data processing pipeline for large volumes of consumer data, creating a migration model for the UK as well as building and delivering CDRC data products.

    James completed his PhD in 2022 entitled ‘Bicycle Sharing Systems: Fast and Slow Urban Mobility Dynamics’ which explores a wide variety of data science techniques to uncover novel insights across a diverse range of temporal and geographical scales. During his final year as a PhD student, James was also appointed as an Associate Lecturer in Quantitative Human Geography where he taught undergraduate and postgraduate students statistical and geographical data science techniques.

    James’ research interests revolve around the implementation of big data, primarily in the domains of transportation, mobility, sustainability, the sharing economy and smart cities.