Transport Planning

Presenting research on modelling multi-modal traffic, casualties and risk at AUM2026 in Cambridge, including the pre-conference seminar on Modelling Active Mobility.

Note: tickets are now on sale! Get yours at store.leeds.ac.uk. Based on demand, I’m running a 2-day course with colleagues teaching modern data science skills for transport planning, focussed on transport planning practitioners and transport planning researchers looking to develop their skills for real-world applications.

This keynote explores future-proofing transport planning through data science and open-source software, drawing on experience with tools like PCT, NPT, and Biclar.

My inaugural lecture at the University of Leeds, discussing my work using data science for future-proof transport planning, key career milestones, and my open, reproducible research approach.

Presenting new methods and open source tools for active travel planning by mapping, classifying, and integrating diverse street network datasets at GISRUK 2025.

This paper describes an approach for developing strategic cycle network planning tools. Based on our experience developing and …

Introduction We describe and analyse a new, open dataset of surveyed cycling infrastructure in London UK. We demonstrate its potential …

Origin-Destination (OD) datasets provide vital information on how people travel between areas in many cities, regions and countries …

Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent ‘tools of the trade’ are …

A large and growing body of evidence suggests fundamental changes are needed in transport systems, to tackle issues such as air …