A collection of public transport network data sets for 25 cities

Scientific Data
Rainer KujalaJari Saramäki

Abstract

Various public transport (PT) agencies publish their route and timetable information with the General Transit Feed Specification (GTFS) as the standard open format. Timetable data are commonly used for PT passenger routing. They can also be used for studying the structure and organization of PT networks, as well as the accessibility and the level of service these networks provide. However, using raw GTFS data is challenging as researchers need to understand the details of the GTFS data format, make sure that the data contain all relevant modes of public transport, and have no errors. To lower the barrier for using GTFS data in research, we publish a curated collection of 25 cities' public transport networks in multiple easy-to-use formats including network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and the GTFS data format. This collection promotes the study of how PT is organized across the globe, and also provides a testbed for developing tools for PT network analysis and PT routing algorithms.

References

Apr 12, 2003·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Parongama SenS S Manna
Dec 31, 2005·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Julian Sienkiewicz, Janusz A Hołyst
Nov 6, 2014·Scientific Reports·Riccardo Gallotti, Marc Barthelemy
May 16, 2015·Scientific Data·Riccardo Gallotti, Marc Barthelemy

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Citations

Oct 1, 2019·PloS One·Ana María Hernández-HernándezCarlos Gershenson
Jun 25, 2020·Physical Review. E·Arash Badie-ModiriMikko Kivelä
May 20, 2020·Physical Review. E·Ignacio MorerSergi Lozano

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Software Mentioned

Mac
sqlite
Python
GraphHopper
Open Street Map
OpenStreetMap
QuantumGIS
gtfspy Python
geojson
Zenodo

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