Noise 2017 - Areas affected by the classification of land transport infrastructureBruit 2017 - Secteurs affectés par le classement des infrastructures de transports terrestres
Bruit 2017 - Secteurs affectés par le classement des infrastructures de transports terrestresNoise 2017 - Areas affected by the classification of land transport infrastructure
This API provides data on sectors affected by the noise classification of land transport infrastructure established by the French State, for reference year 2017. It covers the Strasbourg Eurométropole area and is published as part of the Strasbourg open data portal. The dataset identifies zones subject to noise exposure constraints linked to roads, railways, or other transport infrastructure. Additional detailed information on noise-related matters is available on dedicated pages of the strasbourg.eu website. It is useful for urban planning, construction regulation, and environmental noise assessment purposes.Secteurs affectés par le classement sonore des infrastructures de transports terrestres établi par l'Etat. Millésime 2017 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (4 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic center point (latitude, longitude) of the sector.Geographic center point (latitude, longitude) of the sector. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the noise-affected sector area.Polygon geometry outlining the noise-affected sector area. |
| tampon_idTampon id | text | Buffer zone identifier associated with the noise classification.Buffer zone identifier associated with the noise classification. |
| fme_feature_typeFme feature type | text | Source feature type label from the FME data processing system.Source feature type label from the FME data processing system. |
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 1geo_shape: {"type":"Feature","geometry":{"type":"Po · tampon_id: 0
{
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},
"properties": {}
},
"tampon_id": "0",
"geo_point_2d": {
"lat": 48.5123769586,
"lon": 7.58638896105
},
"fme_feature_type": "B__secteur__EMS2017"
}Record 2geo_shape: {"type":"Feature","geometry":{"type":"Po · tampon_id: 0
{
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},
"properties": {}
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"tampon_id": "0",
"geo_point_2d": {
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},
"fme_feature_type": "B__secteur__EMS2017"
}Record 3geo_shape: {"type":"Feature","geometry":{"type":"Po · tampon_id: 0
{
"geo_shape": {
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},
"properties": {}
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"tampon_id": "0",
"geo_point_2d": {
"lat": 48.6234000422,
"lon": 7.68912346652
},
"fme_feature_type": "B__secteur__EMS2017"
}Record 4geo_shape: {"type":"Feature","geometry":{"type":"Po · tampon_id: 0
{
"geo_shape": {
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},
"properties": {}
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"tampon_id": "0",
"geo_point_2d": {
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"lon": 7.75612412485
},
"fme_feature_type": "B__secteur__EMS2017"
}Record 5geo_shape: [large value omitted] · tampon_id: 0
{
"geo_shape": "[large value omitted]",
"tampon_id": "0",
"geo_point_2d": {
"lat": 48.6061278921,
"lon": 7.78839057658
},
"fme_feature_type": "B__secteur__EMS2017"
}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/bruit_b_secteur_ems2017
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_b_secteur_ems2017/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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