Stations

Why this project?

Problem

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)).

Proposed solution

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.

What should it look like?

It should have functions for three different end-users:

• Data owners: add a link for datadump of stops which can be automatically fetched. Provide mappings to the stations.io scheme.
• Data consumers: get the right datadump for your application with the right IDs from different systems
• Data enrichers: add data for one specific stop

Extra data owner use cases

(e.g. an open street map contributor or a transport agency employee)

• Clean datasets and do named entity recognition
• Link to global stop_area and stop_point IDs
• -add yours-

Extra data consumer use cases

(e.g. an app creator, a map designer or an accessibility researcher)

• An autocomplete list generator
• Get the right connection_link times to create links between modes
• -add yours-

Extra data enricher use cases

(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)

• Being able to do PUT and POST requests on a URI
• A simple interface to view, edit and add feedback to a representation
• -add yours-