Identifying stuff in the transport field is a mess. In every certain field there are different identification methods and they are difficult to interconnect.
For example, when one dataset from a bus company is opened, it takes a lot of fiddling to make the right connections with a train company's dataset. Similar problems exist when programming things cross border (in different countries, the same stops/stations/things have different identifications) or even in the same datasets, to tell which stop is connected to another stop (sometimes they have the same name, in other cases they are a bit different (e.g. an extra id concatenated to the name)).
Using the vocabulary we have discussed at opentransport/vocabulary we will set up a site which can reuse data from various sources and link them all together.
It should have functions for three different end-users:
(e.g. an open street map contributor or a transport agency employee)
stop_area and stop_point IDs(e.g. an app creator, a map designer or an accessibility researcher)
connection_link times to create links between modes(e.g. an app creator who wants to provide a feedback button in his app, an integrator who finds mistakes in the dataset, a transport company that is moderating the data, and so on)