Bicycle ParkingStationnement vélo
Stationnement véloBicycle Parking
data.strasbourg.eu
This dataset provides a comprehensive inventory of bicycle parking facilities, including their technical characteristics and geolocation. It is maintained to support planning for the expansion of bicycle parking provision and the maintenance of existing infrastructure, based on reliable information about current facilities. The data is published as open data by the Eurométropole de Strasbourg through its local data portal, covering bicycle parking within the Strasbourg area. It can be used for urban planning, cycling infrastructure analysis, and mapping applications.« Connaissance exhaustive du patrimoine des stationnements pour vélos, avec ses caractéristiques techniques. L’objectif est de pouvoir prescrire le développement de l’offre et d’entretenir ce patrimoine, à partir d’une information fiable sur l’existant. Ces données géo-localisent les stationnemen...
Trust score
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Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| id_arceauID Emplacement | text | Unique identifier of the bike rack location.Unique identifier of the bike rack location. |
| type_arceauType d'arceau | text | Type or shape of the bike rack, e.g. hooped.Type or shape of the bike rack, e.g. hooped. |
| nb_arceauNombre d'arceaux | int | Number of bike racks at the location.Number of bike racks at the location. |
| abri_veloAbri vélo | text | Indicates whether the location has a bike shelter.Indicates whether the location has a bike shelter. |
| id_sous_tronconID sous tronçon | text | Identifier of the road sub-segment where the rack is located.Identifier of the road sub-segment where the rack is located. |
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude, longitude) of the bike rack.Geographic coordinates (latitude, longitude) of the bike rack. |
| geo_shapeShape | geo_shape | Geographic shape (GeoJSON) of the associated road segment.Geographic shape (GeoJSON) of the associated road segment. |
Schema captured from opendatasoft 2 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1abri_velo: non · geo_shape: {"type":"Feature","geometry":{"type":"Li
{
"abri_velo": "non",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
7.783507775,
48.5996895034
],
[
7.7835042193,
48.5996926793
]
]
},
"properties": {}
},
"id_arceau": "16090",
"nb_arceau": 1,
"type_arceau": "cintré",
"geo_point_2d": {
"lat": 48.599691091349996,
"lon": 7.78350599715
},
"id_sous_troncon": "20044"
}Record 2abri_velo: non · geo_shape: {"type":"Feature","geometry":{"type":"Li
{
"abri_velo": "non",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
7.7458502613,
48.5997745615
],
[
7.745912864,
48.5997658662
]
]
},
"properties": {}
},
"id_arceau": "13631",
"nb_arceau": 7,
"type_arceau": "cintré",
"geo_point_2d": {
"lat": 48.59977021385,
"lon": 7.74588156265
},
"id_sous_troncon": "15286"
}Record 3abri_velo: non · geo_shape: {"type":"Feature","geometry":{"type":"Li
{
"abri_velo": "non",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
7.6942872209,
48.584916121
],
[
7.6943256148,
48.5849423265
]
]
},
"properties": {}
},
"id_arceau": "12474",
"nb_arceau": 4,
"type_arceau": "cintré",
"geo_point_2d": {
"lat": 48.584929223749995,
"lon": 7.69430641785
},
"id_sous_troncon": "27584"
}Record 4abri_velo: non · geo_shape: {"type":"Feature","geometry":{"type":"Li
{
"abri_velo": "non",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
7.6915353489,
48.5544775782
],
[
7.691530985,
48.554472754
]
]
},
"properties": {}
},
"id_arceau": "13086",
"nb_arceau": 2,
"type_arceau": "cintré",
"geo_point_2d": {
"lat": 48.554475166100005,
"lon": 7.69153316695
},
"id_sous_troncon": "28608"
}Record 5abri_velo: non · geo_shape: {"type":"Feature","geometry":{"type":"Li
{
"abri_velo": "non",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[
7.7717356241,
48.5860040835
],
[
7.771745149,
48.5859968729
]
]
},
"properties": {}
},
"id_arceau": "15575",
"nb_arceau": 1,
"type_arceau": "cintré",
"geo_point_2d": {
"lat": 48.5860004782,
"lon": 7.771740386550001
},
"id_sous_troncon": "27922"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/stationnement-velo
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/stationnement-velo/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
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Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
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