Railway Noise 2022 - Threshold Exceedance (night)Bruit ferroviaire 2022 - Dépassement des seuils (nuit)
Bruit ferroviaire 2022 - Dépassement des seuils (nuit)Railway Noise 2022 - Threshold Exceedance (night)
This dataset provides a type C map showing areas where regulatory limit values for railway noise, measured by the night-time indicator Ln, are exceeded: 65 dB(A) for conventional lines and 62 dB(A) for high-speed lines, for the 2022 reference year. It is part of a broader set of noise-related data published by the Eurométropole de Strasbourg (Strasbourg metropolitan authority) and is intended to inform residents and local authorities about areas affected by excessive railway noise levels during nighttime hours.Carte de type C indiquant les zones où les valeurs limites réglementaires pour le bruit ferroviaire pour l'indicateur Ln (nuit) sont dépassés : 65 dB(A) pour les lignes conventionnelles 62 dB(A) pour les lignes à grande vitesse Millésime 2022 Une information complète sur le bruit est disponible s...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
| millesime | text | — |
| carte | text | — |
| source | text | — |
| periode | text | — |
| valeur | text | — |
| color_dataColor data | text | — |
Schema captured from opendatasoft 7 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 1carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=62",
"periode": "Ln",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.7151614553,
48.6787062479
],
[
7.7150444527,
48.6787259662
],
[
7.7150325688,
48.6787114743
],
[
7.7150402762,
48.6786807997
],
[
7.7151614553,
48.6787062479
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#5A1887",
"geo_point_2d": {
"lat": 48.67870447992006,
"lon": 7.715078559913084
}
}Record 2carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=62",
"periode": "Ln",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.6762641681,
48.6920049832
],
[
7.6761300772,
48.6920266809
],
[
7.6760942615,
48.691995832
],
[
7.676124057,
48.6919610478
],
[
7.6762610187,
48.6919706497
],
[
7.6762793975,
48.6919883886
],
[
7.6762641681,
48.6920049832
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#5A1887",
"geo_point_2d": {
"lat": 48.69199149084233,
"lon": 7.676181100618885
}
}Record 3carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=62",
"periode": "Ln",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.7190591471,
48.658456787
],
[
7.719019829,
48.6584679425
],
[
7.7190132575,
48.6584586501
],
[
7.7190128342,
48.6583923296
],
[
7.7190591471,
48.658456787
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#5A1887",
"geo_point_2d": {
"lat": 48.65843909671079,
"lon": 7.719028706597971
}
}Record 4carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=62",
"periode": "Ln",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.719980519,
48.6525631216
],
[
7.719969552,
48.6525643689
],
[
7.7199685568,
48.6525636074
],
[
7.7199555654,
48.6524740388
],
[
7.7199590556,
48.6524509134
],
[
7.7200942978,
48.652442934
],
[
7.7201026333,
48.6524680657
],
[
7.7201001291,
48.6525059628
],
[
7.719980519,
48.6525631216
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#5A1887",
"geo_point_2d": {
"lat": 48.65249351686172,
"lon": 7.720023630487445
}
}Record 5carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=62",
"periode": "Ln",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.7207869927,
48.6481156396
],
[
7.7207847326,
48.6481480851
],
[
7.7206466376,
48.6481251074
],
[
7.7206461551,
48.648121361
],
[
7.720646249,
48.6481209067
],
[
7.7207801957,
48.6480990497
],
[
7.7207869927,
48.6481156396
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#5A1887",
"geo_point_2d": {
"lat": 48.64812328179601,
"lon": 7.720735275127076
}
}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_fer_c_ln_2022
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_fer_c_ln_2022/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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