Resident Parking ZonesZones de stationnement résidant
Zones de stationnement résidantResident Parking Zones
This dataset from the City of Strasbourg's open data portal identifies the zones where resident parking permits apply. Resident parking is a scheme allowing eligible residents to park their vehicle at a preferential rate on streets subject to paid parking. The dataset delineates the geographic boundaries of these zones across the city, and further details are available on the municipality's institutional website. It is useful for mapping applications, parking management tools, and residents seeking to verify whether their address falls within a designated resident parking zone.Retrouvez les zones de stationnement résidant de la Ville de Strasbourg. Le stationnement résidant est un régime qui permet à son bénéficiaire de garer son véhicule à un tarif préférentiel dans les rues soumises au stationnement payant. Plus d'informations sur la page du site institutionnel consa...
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Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| id_zone_residentId zone resident | int | Identifiant de la zone |
| numero_zone_residentNumero zone resident | text | Numéro de la zone du tarif résident |
| annee_mise_en_placeAnnee mise en place | text | Année de mise en place |
| type_zoneType zone | text | Type de zone |
| date_majDate maj | date | Date de mise à jour |
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
Schema captured from opendatasoft 6 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 1date_maj: 2023-07-10 · geo_shape: [large value omitted]
{
"date_maj": "2023-07-10",
"geo_shape": "[large value omitted]",
"type_zone": "zonage résident",
"geo_point_2d": {
"lat": 48.57913977855307,
"lon": 7.756208473840538
},
"id_zone_resident": 3,
"annee_mise_en_place": "2010",
"numero_zone_resident": "4"
}Record 2date_maj: 2023-07-10 · geo_shape: [large value omitted]
{
"date_maj": "2023-07-10",
"geo_shape": "[large value omitted]",
"type_zone": "zonage résident",
"geo_point_2d": {
"lat": 48.58745179567747,
"lon": 7.753636788749974
},
"id_zone_resident": 6,
"annee_mise_en_place": "2010",
"numero_zone_resident": "7"
}Record 3date_maj: 2023-07-10 · geo_shape: [large value omitted]
{
"date_maj": "2023-07-10",
"geo_shape": "[large value omitted]",
"type_zone": "zonage résident",
"geo_point_2d": {
"lat": 48.58065631270301,
"lon": 7.742851286830734
},
"id_zone_resident": 8,
"annee_mise_en_place": "2010",
"numero_zone_resident": "3"
}Record 4date_maj: 2023-07-10 · geo_shape: [large value omitted]
{
"date_maj": "2023-07-10",
"geo_shape": "[large value omitted]",
"type_zone": "zonage résident",
"geo_point_2d": {
"lat": 48.58412799567864,
"lon": 7.736873429143475
},
"id_zone_resident": 10,
"annee_mise_en_place": "2010",
"numero_zone_resident": "1"
}Record 5date_maj: 2023-07-10 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"date_maj": "2023-07-10",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.726241438265281,
48.574501208614485
],
[
7.726542898384245,
48.57444192457547
],
[
7.726814954822522,
48.57438383752805
],
[
7.72718986880527,
48.574352896011185
],
[
7.72760042690088,
48.57432441808272
],
[
7.72798818437807,
48.574304701872265
],
[
7.72826121880395,
48.57432099581598
],
[
7.728512536678301,
48.57435775945292
],
[
7.728899006272372,
48.57445168775997
],
[
7.72901842395737,
48.57446640626906
],
[
7.729376767692898,
48.57400133784396
],
[
7.729506805028407,
48.5738119351112
],
[
7.729625441610716,
48.57362691396611
],
[
7.729667168734936,
48.57350378377591
],
[
7.729716322114733,
48.573333345938714
],
[
7.729744221767921,
48.57312460365796
],
[
7.729733949071473,
48.57288608075353
],
[
7.729695719352677,
48.57266436574507
],
[
7.729273155499283,
48.57262675074956
],
[
7.728897737475045,
48.57252453959668
],
[
7.72848812208963,
48.57243547213815
],
[
7.728103473860733,
48.57236105419039
],
[
7.727667347757516,
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],
[
7.727275995186706,
48.57228509233911
],
[
7.726980533498708,
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],
[
7.726615229512113,
48.572288509004736
],
[
7.726142890633815,
48.57235083712938
],
[
7.725810235991323,
48.57239180586841
],
[
7.725710991442688,
48.572403682117844
],
[
7.725489808788863,
48.572373519695724
],
[
7.725082980472791,
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],
[
7.724736038302376,
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],
[
7.724405078569585,
48.572515618440384
],
[
7.724417814092989,
48.57258952403048
],
[
7.724531384006997,
48.57279642099414
],
[
7.724662849649307,
48.57306917920146
],
[
7.724952514962399,
48.5734569242103
],
[
7.725277828788021,
48.57384713395599
],
[
7.725547802313523,
48.57414950430313
],
[
7.725772644718823,
48.57441062451906
],
[
7.725829901165829,
48.57445529734542
],
[
7.726241438265281,
48.574501208614485
]
]
]
},
"properties": {}
},
"type_zone": "zonage résident",
"geo_point_2d": {
"lat": 48.5733199089019,
"lon": 7.727195834085619
},
"id_zone_resident": 12,
"annee_mise_en_place": "2019",
"numero_zone_resident": "12"
}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_residant
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/stationnement_residant/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.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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