Scholar
Robin Lovelace
Google Scholar ID: xDJHVCAAAAAJ
Professor of Transport Data Science, Institute for Transport Studies, University of Leeds
Citations & Impact
Citations
2,580
H-index
28
i10-index
51
Publications
20
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published 'Cycle Route Uptake and Scenario Estimation (CRUSE): An Approach for Developing Strategic Cycle Network Planning Tools', describing an approach for developing strategic cycle network planning tools.
Research Experience
- Leads the Transport Data Science module, available to ITS Masters students and MSc students at the University of Leeds taking Data Science and Data Analytics and Data Science and Urban Analytics courses.
Education
- PhD in Transport and Energy, 2013, University of Sheffield; MSc in Environmental Science and Management, 2009, University of York; BSc in Environmental Geography, 2008, University of Bristol.
Background
- Professor of Transport Data Science at the University of Leeds, Institute for Transport Studies. Engages in research, develops software and web applications, and teaches data science for evidence-based transport planning.
Miscellany
- Interests include geocomputation, transport modelling, reproducible geographic data analysis, mode shift, especially uptake of active modes. Can be found on Mastodon, Google Scholar, and GitHub.
