The multilayer temporal network of public transport in Great Britain

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.

Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010

“…However, natural disasters are capable of damaging many roads at one time. This means the information we have about the current state of a network and flows in it (see for instance Louail et al, 2015;Gallotti and Barthelemy, 2015;Lenormand et al, 2014a,b) are dramatically changed. The common traffic pattern (Gottlich and Klar, 2009;Lammer et al, 2006;Helbing, 2002Helbing, , 2001 completely disappears and the standard traffic control begins to be useless.…”

Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour

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Extracting Hidden Hierarchies in 3D Distribution Networks

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