Urban Big Data Centre, , Verduzco, J. and Mcarthur, D. (2026) Public transport travel time matrices for Great Britain (TTM 2023). [Data Collection]
Collection description
This dataset provides ready-to-use door-to-door public transport travel time estimates for each of the 2011 Census at the lower super output area (LSOA) and data zone (DZ) units (42,000 LSOA/DZ units in total) in Great Britain (GB) to every other reachable within 150 minutes during the morning peak for the year 2023 using. This information comprises an all-to-all travel time matrix (TTM) at the national level. The TTM are estimated for public transport, bicycle, and walking. Public transport estimates are estimated for two times of departure, specifically during the morning peak and at night. Altogether, these TTMs present a range of opportunities for researchers and practitioners, such as the development of accessibility measures, spatial connectivity, and the evaluation of public transport service changes throughout the day.
A full data descriptor is available in 'technical_note.html' file as part of the records of this repository.
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| College / School: | College of Social Sciences > School of Social and Political Sciences > Urban Big Data |
| Date Deposited: | 17 Mar 2026 09:52 |
| URI: | https://researchdata.gla.ac.uk/id/eprint/2214 |
Available Files
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