Railway Noise 2022 - Threshold Exceedance (Day, Evening, Night)Bruit ferroviaire 2022 - Dépassement des seuils (jour, soir, nuit)
Bruit ferroviaire 2022 - Dépassement des seuils (jour, soir, nuit)Railway Noise 2022 - Threshold Exceedance (Day, Evening, Night)
This dataset, published via the Strasbourg open-data portal, provides a type-C map showing areas where regulatory limit values for railway noise, measured by the Lden indicator (day, evening, night), are exceeded: 73 dB(A) for conventional lines and 68 dB(A) for high-speed lines. It corresponds to the 2022 reference year. The data is intended to give comprehensive information on railway noise exposure and supports noise mapping and environmental planning obligations at the local level.Carte de type C indiquant les zones où les valeurs limites réglementaires pour le bruit ferroviaire pour l'indicateur Lden (jour, soir, nuit) sont dépassés : 73 dB(A) pour les lignes conventionnelles 68 dB(A) pour les lignes à grande vitesse Millésime 2022 Une information complète sur le bruit es...
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 | Geographic centroid coordinates of the zone.Geographic centroid coordinates of the zone. |
| geo_shapeShape | geo_shape | Geometric shape (polygon) of the noise exceedance zone.Geometric shape (polygon) of the noise exceedance zone. |
| millesime | text | Reference year of the data, 2022.Reference year of the data, 2022. |
| carte | text | Map type code indicating threshold exceedance map (C).Map type code indicating threshold exceedance map (C). |
| source | text | Noise source category, e.g. rail (Fer).Noise source category, e.g. rail (Fer). |
| periode | text | Time period indicator for the noise measure (day, evening, night).Time period indicator for the noise measure (day, evening, night). |
| valeur | text | Noise exceedance value range or threshold category in dB(A).Noise exceedance value range or threshold category in dB(A). |
| color_dataColor data | text | Hexadecimal color code used for map display of the value.Hexadecimal color code used for map display of the value. |
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 1carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=68",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.6896244313,
48.5324326195
],
[
7.6896249742,
48.5325067391
],
[
7.689589331,
48.5324340392
],
[
7.6895542304,
48.532345361
],
[
7.6895226711,
48.5322565396
],
[
7.6894968154,
48.5321674874
],
[
7.6894553999,
48.5321368715
],
[
7.6894069904,
48.5320810226
],
[
7.689374526,
48.5319922378
],
[
7.6893451702,
48.5319033271
],
[
7.6893156929,
48.5318144214
],
[
7.6892824517,
48.5317301819
],
[
7.6892797417,
48.5317257776
],
[
7.6892125834,
48.5316383959
],
[
7.6892226933,
48.531547889
],
[
7.6891953518,
48.5314588969
],
[
7.6891670644,
48.5313699431
],
[
7.6891551848,
48.5312803256
],
[
7.6892396136,
48.5312629816
],
[
7.6893548481,
48.5311821519
],
[
7.6893611564,
48.5311090705
],
[
7.6893978675,
48.5311804118
],
[
7.689437346,
48.531268913
],
[
7.6894646067,
48.5313579084
],
[
7.6894821499,
48.5314472968
],
[
7.6893941217,
48.5314685886
],
[
7.6892937847,
48.5315450136
],
[
7.6893038131,
48.531634706
],
[
7.6894134792,
48.5316796981
],
[
7.6894970713,
48.5316268892
],
[
7.6895274809,
48.5315355612
],
[
7.6895330264,
48.5315040188
],
[
7.6895506059,
48.5315346258
],
[
7.6896034112,
48.5316225879
],
[
7.6896423092,
48.5317111125
],
[
7.6896745307,
48.5317999071
],
[
7.6897019423,
48.5318667232
],
[
7.6897119423,
48.5318884918
],
[
7.6897569633,
48.5319767687
],
[
7.6897911584,
48.5320654835
],
[
7.6898143384,
48.5321546438
],
[
7.6898341396,
48.5322439408
],
[
7.6897439036,
48.5323243094
],
[
7.6897164863,
48.5323387979
],
[
7.6896244313,
48.5324326195
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#FA8C44",
"geo_point_2d": {
"lat": 48.53182884036339,
"lon": 7.68949916598625
}
}Record 2carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=68",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.8303799912,
48.6677593784
],
[
7.8303344673,
48.667768208
],
[
7.8302999106,
48.667762706
],
[
7.8303314394,
48.6677362389
],
[
7.8303799912,
48.6677593784
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#FA8C44",
"geo_point_2d": {
"lat": 48.66775507801369,
"lon": 7.830337331913107
}
}Record 3carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=68",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.7337884287,
48.585869278
],
[
7.7337729172,
48.5858953368
],
[
7.7337347713,
48.5858714666
],
[
7.7337687043,
48.5858498732
],
[
7.7337884287,
48.585869278
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#FA8C44",
"geo_point_2d": {
"lat": 48.58587198272337,
"lon": 7.733764750515793
}
}Record 4carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=68",
"periode": "Ld",
"geo_shape": "[large value omitted]",
"millesime": "2022",
"color_data": "#FA8C44",
"geo_point_2d": {
"lat": 48.50581587638746,
"lon": 7.678586498836451
}
}Record 5carte: C · source: Fer
{
"carte": "C",
"source": "Fer",
"valeur": ">=68",
"periode": "Ld",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.7328508685,
48.601404569
],
[
7.7327696317,
48.6014516147
],
[
7.7327395827,
48.6014091057
],
[
7.7326228445,
48.6013335504
],
[
7.732566278,
48.6013260715
],
[
7.7326195098,
48.6012975656
],
[
7.732741374,
48.6013189337
],
[
7.7327578065,
48.6013240122
],
[
7.7327652876,
48.6013179589
],
[
7.7327669705,
48.6012277914
],
[
7.7328794189,
48.6011704273
],
[
7.732910073,
48.6012219576
],
[
7.7330276205,
48.6013037505
],
[
7.7330494089,
48.6013063761
],
[
7.7330289107,
48.6013176722
],
[
7.7328980041,
48.6013709686
],
[
7.7328508685,
48.601404569
]
]
]
]
},
"properties": {}
},
"millesime": "2022",
"color_data": "#FA8C44",
"geo_point_2d": {
"lat": 48.601314097616964,
"lon": 7.732826982370218
}
}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_ld_2022
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_fer_c_ld_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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