Something interesting to browse. Presumably over time it will be possible to look at how flows change over time. I wonder if enough historic data is available to show patterns pre- and post-Covid if someone has the inclination to do this. I note that the most recent individual station stats have included most common origin/destination for each station for the first time, so perhaps the more detailed dataset has only been made available more recently.
The broken lines show that routes indicated often aren't the actual routes taken. Still useful and interesting, but perhaps showing dots (size indicating flow volume) for each origin/destination would be better. However in dense areas the lines may well be clearer, which perhaps influenced the way it's presented.
As with the usual station stats, I wonder if more distant destinations are under-represented as a result of split ticketing, or indeed if common split-points have inflated figures, or if these are still drowned out by the number of passengers who just buy a the full-route ticket.
I wonder - how did they account for season tickets? Does each ticket for the journey between two points count as "one"?
I assume season tickets are calculated in the same way as the individual station stats that are released annually; I would guess the answer is somewhere in the published methodology information that I think is published the station stats. The
GWR▸ delay repay calculation figures suggest a
possible methodology:
weekly ticket: 1/10 of the ticket price
flexi season ticket: 1/16 of the price
monthly ticket: 1/40 of the ticket price
annual ticket: 1/464 of the ticket price
A similar question arises over stations often accessed with travelcard/zonal type tickets - especially London suburbs. I assume there's a standard methodology for guestimating this but there may be some under-representation going on.
Click on the map to explore geographics
