Open-access public transport timetable archive for Great Britain

With two new open access datasets expanding UBDC's public transport timetable archive for Great Britain, Rafael Verduzco Torres describes their significance and potential research applications:
Up-to-date public transport timetables are essential for helping people navigate cities. Timetables systematically store information about the location of bus stops and stations, when, from where, to which destination, and how often a service will run.
This information is used by popular navigation applications, such as Google Maps and Apple Maps.
Beyond everyday use, these timetables hold significant analytical value. They enable detailed calculations of travel times from single or multiple locations to various destinations. These calculations consider a range of factors, including the time of departure, waiting time, transfers, and on-board time.
Route estimates can be used to define catchment areas around public facilities, such as hospitals or sports centres. They also help calculate the "effective" level of service by considering the location of relevant destinations. For example, this could include the number of jobs accessible within 30 minutes or the shortest travel time to a health facility using public transport.
One example of this is the Accessibility Indicators dataset series, which has been computed for all Great Britain (Verduzco & McArthur,2024; 2024b). You can download datasets here for 2022 and 2023.
Traveline and the Bus Open Data Service are the two biggest organisations dedicated to assembling and sharing local public transport timetables across Great Britain. Their main goal is to provide the latest info for navigation apps, with data being updated daily. Because of this constant updating, we do not have a public repository to compare current public transport service levels with those from the past.
However, being able to make comparisons over time can help evaluate changes in the transport system, such as increased frequencies, extended routes, segregated infrastructure, or other operational adjustments.
Given the importance of this for urban policy evaluation, the transport research group at UBDC has created an automated repository that takes snapshots of public transport timetables twice a week. This system has been implemented since February 2023.
We have released the first batch of this data, covering the first half of 2023. This includes all regions in Great Britain for all bus and local services, like trams and subways.
The Bus Open Data Service can be downloaded in GTFS format from the link below: https://data.ubdc.ac.uk/datasets/bus-open-data-service-gtfs-archive
The Traveline archive, in TransXChange format, can be downloaded from the following URL: https://data.ubdc.ac.uk/datasets/traveline-national-dataset-tnds-archive
As the repository grows, we plan to release updated versions of the archive. If you have ideas for collaboration or improvements, feel free to contact Rafael Verduzco at Jose.Rafael-Verduzco-Torres@glasgow.ac.uk
Related resources
Travel time matrices for great Britain: https://www.ubdc.ac.uk/news/unveiling-the-variability-in-public-transport-services-across-great-britain
Accessibility indicators data descriptor: https://www.nature.com/articles/s41597-023-02890-w
Accessibility indicators dataset2022: https://doi.org/10.5281/zenodo.8037156
Accessibility indicators dataset2023: https://data.ubdc.ac.uk/datasets/accessibility-indicators
Files
Latest news

Brainstorming Data Dive promotes innovative social research
Researchers gathered in Glasgow for an innovative Data Dive, organised by the Urban Big Data Centre in collaboration with ESRC Smart Data Research UK. The aim of the event was to provide researchers with first-hand experience using smart data curated by UBDC and brainstorm new approaches and analyses.

Introducing the Adzuna teaching dataset
UBDC are excited to announce the launch of ‘Adzuna Teaching’, a small and random subset of our main Adzuna dataset. Adzuna Teaching makes Adzuna accessible to a wider audience, specifically students undertaking research projects and lecturers interested in employment or Smart Data. It will also be of interest to researchers thinking of applying for the full Adzuna dataset. Adzuna Teaching preserves the structure, and contains all variables, of our main Adzuna dataset. It therefore includes detailed information on salary, occupation, sector, seniority, skills, location, and job descriptions. See our Adzuna metadata for all variables included. The dataset represents a random 20,000 subsample of all (deduplicated) UK adverts posted on Adzuna.co.uk in the month of September 2021.

UofG social scientists receive UKRI funding for data-driven research
UofG social scientists have received UKRI funding that will enable them to conduct data-driven research aimed at improving lives across Scotland and the UK
Jointly funded by
%20copy.png)
.png)

