Here+Us - An Alternative Approach to Public Transport Network Discovery
This section contains examples of Aquius displaying public transport networks, plus hosted tools for constructing Aquius datasets:
Àrea Metropolitana de Barcelona (26 November-2 December 2018): Snapshot of all non-tourist scheduled public transport within the Àrea Metropolitana de Barcelona (AMB) - more information about this dataset.
AMB Vortex (26 November-2 December 2018): As above, but in a fixed coordinate grid, ideal for strategic analysis.
The AMB Vortex map includes sample proposed network changes - Diagonal tram (direct on-street route), L9/10 connection (with all proposed stations, except those in Zona Franca), and Rodalies 2026 (suburban railway as proposed in 2006). These examples are not intended to replace detailed (but specific) analysis of proposals in isolation. Rather to show how quite different proposals can be considered in their shared context - which for cities can otherwise be extremely difficult to comprehend. Aquius doesn’t just allow networks to better understood: Even without a proper interface (proposed routes currently need to be outlined in GIS software, base networks filtered appropriately, and the combination rebuilt), the networks demonstrated here can be built and probed in a matter of minutes.
The FlixBus network is almost impossible to communicate on a fixed map because its service patterns are often defined by cabotage restrictions, especially in Iberia and the Balkans. Such cabotage restrictions may prevent FlixBus conveying passengers within countries or regions, often rendering the destinations available to passengers quite different to the route taken by the vehicle. This added complexity is not a limitation for Aquius, which always draws its route map from a user-specified here. FlixBus represents an extreme test case of cabotaged international operation, since on some routes almost every place served is defined with a different set of boarding and alighting restrictions. FlixBus host their own dynamic network map, however this can feel laggy, and does not give any indication of service frequency - destinations with one bus a week are shown just as prominantly as destinations with one bus an hour. The Aquius dataset is relatively large - almost 1 MegaByte uncompressed, even without headcode information and day-by-day service filters (which can potentially be built from GTFS) - but is smoother to use and more indicative of services.
Great Britain National Rail (weekdays, January 2019): Snapshot of all weekday passenger train service patterns across Network Rail - more information about this dataset.
The GB Rail dataset makes extensive use of dummy waypoints to show the route taken by trains, regardless of their stops. This results in a relatively neat map where service totals at stations are not automatically the same as the sum of the links passing those stations.
Renfe Obligación de Servicio Público: As Friday 20 July 2018 above, but with custom filters for each Renfe state supported product, plus administrative boundaries.
Renfe LD/MD (10-16 December 2018): GTFS extract from the first batch of Renfe open data. The extract excludes Cercanías (most suburban), Feve (metre gauge), Trenhotel (sleeper) and non-domestic services. Unlike earlier data, the extract summarises both directions across a full week, including crude time period analysis.