This is the homepage for the “Data Science for Transport Planning: from origin-destination to route network datasets” workshop. It will be delivered as part of the PhD School that precedes the Mobile Tartu 2026 conference. In it you will learn how to work with these datasets and generate meaningful transport planning-related results. Exercises will stretch more advanced attendees.
It is based on data from the {spanishoddata} (Kotov et al. 2026), a package that was conceived during Mobile Tartu 2024, which provides access to a large spatio-temporal dataset of origin-destination (OD) flows in Spain.
Getting Started
The quickest way to get started is on GitHub Codespaces, which you can launch by clicking the link below:
See the prerequisites for more details on how to set up your environment.
Workshop Workbook
The main practical content is in the workbook.
Further reading
If you enjoyed this course, you may want to check out some of the links below:
- The Data Science for Transport Planning website with more sessions taught over 2 days.
- The Transport Data Science course materials from the University of Leeds, which cover a wider range of topics and datasets.
- The Transportation chapter of Geocomputation with R book Lovelace et al. (2025), which includes a section on OD data and route networks.