0.0.6 • Public • Published


Deutsche Bahn elevator information, enriched (by crowdsourcing) with OSM data. You're invited to help, see the data structure and contributing sections! Using this original dataset provided by Deutsche Bahn.

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Installation and Usage

If you're using Node.js or JavaScript with npm, you can install the package by running:

npm install db-elevators
const elevators = require('db-elevators')

elevators is an array of objects which looks as follows:

        id: '10499641',
        description: 'zu Gleis 1',
        station: '8010212',
        location: {
            longitude: 14.6713589,
            latitude: 51.0993991
        osmNodeId: '2793052424'
        id: '10499642',
        description: 'zu Gleis 2/3',
        station: '8010212',
        location: {
            longitude: 14.6713245,
            latitude: 51.0995518
        osmNodeId: '4011664512'
    // …

You can use the id to retrieve live availability information via the FaSta API.

Data structure

OpenStreetMap associations are stored in osm.ndjson, an ndjson file which contains one record per row. All records are objects with the following keys (required).

key name description example
id elevator id from the main dataset "10009222"
osmNodeId Id of the OSM elevator node. Note that OSM ids are not too stable, however this still seems to be the best way to associate data (for now). Additionally, tests that verify that ids are still valid and refering to an elevator are run on a daily basis. "2381179238"
stationName Name of the station. Note that this field is required, but won't ever be parsed, we just use it to make the dataset a bit more human-readable. "Bochum Hbf"
description Elevator description from the main dataset. As with stationName this field won't ever be parsed, we just use it to make the dataset a bit more human-readable. Optional, as some elevators don't have any description even in the original dataset. However: Feel free to write one yourself in this case. "zu Gleis 1/2"
revised Some entries have been automatically fetched/guessed with a heuristical approach (false), while others have been manually inserted (true). This field is currently not exposed by the module, but can be used internally to monitor quality. true

Put together, our example would give us the following data row for the NDJSON file:

{"id":"10009222","osmNodeId":"2381179238","stationName":"Bochum Hbf","description":"zu Gleis 1/2","revised":false}


If you want to add information to the dataset, fork this repository, add information and finally submit a pull request. If you don't know how any of this works, you can also just open an issue with the information you want to add in text form and I'll add it to the dataset for you. The same applies if you have found an error or want to change anything about the data structure.

Please note that by contributing to this project, you waive any copyright claims on the information you add.

See the todo list for a list of stations that have not been (fully) covered yet.


If you want to contribute to this project, you can either add data to osm.ndjson manually or use the CLI as follows:

  1. Clone the repository (or your fork)
git clone https://github.com/juliuste/db-elevators.git
  1. Navigate to the repository root
cd db-elevators
  1. Use the CLI to add entries to osm.ndjson
./build/bin/index # starts the cli 
./build/bin/index --help # shows the help menu 
./build/bin/index --auto-open # starts the CLI, opens OpenStreetMap around stations automatically (only on mac OS, using 'open' CLI) 


The original dataset was released as CC-BY 4.0, the crowdsourced database of OpenStreetMap associations is licensed as CC0.

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