BEGIN seminar –  Prof Robin Lovelace

Fernando Benitez-Paez
Wednesday 30 April 2025

Date: Tuesday, 20th of May 2025, at 14:00 (UK Time) 
Location: Hybrid – Online (MS Teams) – Lapworth Room (IRV Building)

Special workshop for ECRs and PhD Students for In-Person participants

Future-Proof Transport Planning

Abstract:

Transport planning has always been a complex and multi-disciplinary enterprise requiring wide-ranging skills and methods. Like many fields of research exposed to the data revolution, it is also fast-moving, meaning that it’s hard to know how to keep the work future-proof. This talk will explore the challenges and opportunities of future-proofing transport planning, focusing on the role of data science and open-source software. It will draw on my experience developing and deploying tools such as the Propensity to Cycle Tool for England and Wales (publicly available at www.pct.bike), the Network Planning Tool for Scotland (publicly available at www.npt.scot) and the Biclar tool for Portugal (publicly available at biclar.tmlmobilidade.pt. I will also outline some tools and techniques we have developed at the University of Leeds for working with origin-destination data.

For more information about this seminar visit: Future-Proof Transport Planning | Robin Lovelace

For in-person participants

After the seminar we will hold a special hands-on workshop on spatial interaction models for in-person participants (15:30-16:30)

Recording:

Slides:

https://robinlovelace.github.io/future-proof-transport-planning/st-andrews#/title-slide

Bio:

Robin Lovelace is Professor of Transport Data Science at the Leeds Institute for Transport Studies (ITS). Robin specializes in data science and geocomputation, with a focus on developing geographic methods applied to modeling transport systems, active travel, and decarbonisation. Robin has experience not only researching but deploying transport models in inform sustainable policies and more effective use of transport investment, including as Lead Developer of the Propensity to Cycle Tool (see

 


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