Thanks for your comment. Not wrong in the sense that the data is wrong or faked, but that the metric is not useful. Especially when better metrics are readily available for that region. Can you name me one prediction or result which you can infer from the frequency of train travel other than „fun facts“? (I am actually really curious :) ). With the modal split you can for example calculate CO2 emissions or estimate needed capacity increases if you want to replace one mode with another and much more.
I really like when I can just show up at the station and jump of a train without the need to consult a timetable beforehand. Not sure what you can infer, but I value frequency!
I think the number of trips says a lot about the role trains play in people’s everyday lives, maybe even more than the kilometers travelled. Sure, that’s not a “metric”, but it does give us an idea if people use trains just for vacation a few times a year, or for their commute to work or other daily trips. For someone taking a train just once a year, even if that is for hundeds of kilometers, we know that they will use a different means of transportation for most trips.
