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Gallotti R, Barthelemy M. The multilayer temporal network of public transport in Great Britain. Sci Data. 2015;2:140056doi: 10.1038/sdata.2014.56.
Gallotti, R., & Barthelemy, M. (2015). The multilayer temporal network of public transport in Great Britain. Scientific data, 2140056. https://doi.org/10.1038/sdata.2014.56
Gallotti, Riccardo, and Barthelemy, Marc. "The multilayer temporal network of public transport in Great Britain." Scientific data vol. 2 (2015): 140056. doi: https://doi.org/10.1038/sdata.2014.56
Gallotti R, Barthelemy M. The multilayer temporal network of public transport in Great Britain. Sci Data. 2015 Jan 06;2:140056. doi: 10.1038/sdata.2014.56. eCollection 2015. PMID: 25977806; PMCID: PMC4412150.
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Sci Data. 2015 Jan 06;2:140056. doi: 10.1038/sdata.2014.56. eCollection 2015.

The multilayer temporal network of public transport in Great Britain.

Scientific data

Riccardo Gallotti, Marc Barthelemy

Affiliations

  1. Institut de Physique Théorique, CEA , CNRS-URA 2306, F-91191 Gif-sur-Yvette, France.

PMID: 25977806 PMCID: PMC4412150 DOI: 10.1038/sdata.2014.56

Abstract

Despite the widespread availability of information concerning public transport coming from different sources, it is extremely hard to have a complete picture, in particular at a national scale. Here, we integrate timetable data obtained from the United Kingdom open-data program together with timetables of domestic flights, and obtain a comprehensive snapshot of the temporal characteristics of the whole UK public transport system for a week in October 2010. In order to focus on multi-modal aspects of the system, we use a coarse graining procedure and define explicitly the coupling between different transport modes such as connections at airports, ferry docks, rail, metro, coach and bus stations. The resulting weighted, directed, temporal and multilayer network is provided in simple, commonly used formats, ensuring easy access and the possibility of a straightforward use of old or specifically developed methods on this new and extensive dataset.

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