Railway Noise Ln, Type C MapBruit ferroviaire Ln de type C

Bruit ferroviaire Ln de type CRailway Noise Ln, Type C Map

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This dataset from Métropole Aix-Marseille-Provence provides railway noise data expressed through the Ln indicator, presented as a type C isophonic (equal-noise-level) map. It covers the Aix-Marseille Provence metropolitan area and is published via the local open-data portal maintained by the metropolitan authority. The Ln indicator specifically reflects night-time noise exposure levels near rail infrastructure, allowing assessment of railway noise pollution across the territory for planning, environmental monitoring, and public information purposes.Bruit ferroviaire selon l'indicateur Ln carte de type C sur la Métropole Aix-Marseille Provence

environment

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Trust score

How is this computed?

fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (14 fields)

Filterable via the API (12)

idcodeinseecodectcodecommdatemajanneecodedeptidcourbetypesourceindicetypeisophonevalidedeb

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Geographic center point (latitude/longitude) of the noise zone.Geographic center point (latitude/longitude) of the noise zone.
—	geo_shapeShape	geo_shape	Polygon geometry outlining the noise contour area.Polygon geometry outlining the noise contour area.
—	id	double	Unique numeric identifier for the record.Unique numeric identifier for the record.
—	codeinsee	text	INSEE code of the commune.INSEE code of the commune.
—	codect	text	Code identifying the noise mapping category or type C.Code identifying the noise mapping category or type C.
—	codecomm	text	Commune code combining department and INSEE identifiers.Commune code combining department and INSEE identifiers.
—	datemaj	text	Date the record was last updated.Date the record was last updated.
—	annee	text	Year the noise data was produced.Year the noise data was produced.
—	codedept	text	Department code where the commune is located.Department code where the commune is located.
—	idcourbe	double	Identifier of the noise contour curve.Identifier of the noise contour curve.
100%	typesource	text	Type of noise source, here railway type C.Type of noise source, here railway type C.
100%	indicetype	text	Type of noise indicator, e.g. Ln (nighttime level).Type of noise indicator, e.g. Ln (nighttime level).
100%	isophone	double	Noise level threshold in decibels for the contour.Noise level threshold in decibels for the contour.
100%	validedeb	text	Date the data became valid or effective.Date the data became valid or effective.

Schema captured from opendatasoft 2 days ago.

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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.

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Sample data (5 records)

Record 1id: 40 · annee: 2022

{
  "id": 40,
  "annee": "2022",
  "codect": "CT1",
  "datemaj": "31/05/2022",
  "codecomm": "131216",
  "codedept": "13",
  "idcourbe": 40,
  "isophone": 65,
  "codeinsee": "13216",
  "geo_shape": "[large value omitted]",
  "validedeb": "31/05/2022",
  "indicetype": "Ln",
  "typesource": "C",
  "geo_point_2d": {
    "lat": 43.363168965648015,
    "lon": 5.299817468330372
  }
}

Record 2id: 10 · annee: 2022

{
  "id": 10,
  "annee": "2022",
  "codect": "CT1",
  "datemaj": "31/05/2022",
  "codecomm": "132033",
  "codedept": "13",
  "idcourbe": 10,
  "isophone": 65,
  "codeinsee": "13033",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.236698409857009,
            43.33203972868209
          ],
          [
            5.236703566023846,
            43.332037892923104
          ],
          [
            5.23669859247791,
            43.332029982383325
          ],
          [
            5.236690652157441,
            43.33202683365186
          ],
          [
            5.236669169397621,
            43.332028418680295
          ],
          [
            5.236682786372361,
            43.33204203033054
          ],
          [
            5.236698409857009,
            43.33203972868209
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "31/05/2022",
  "indicetype": "Ln",
  "typesource": "C",
  "geo_point_2d": {
    "lat": 43.33203390880042,
    "lon": 5.2366873314428615
  }
}

Record 3id: 46 · annee: 2022

{
  "id": 46,
  "annee": "2022",
  "codect": "CT1",
  "datemaj": "31/05/2022",
  "codecomm": "131213",
  "codedept": "13",
  "idcourbe": 46,
  "isophone": 65,
  "codeinsee": "13213",
  "geo_shape": "[large value omitted]",
  "validedeb": "31/05/2022",
  "indicetype": "Ln",
  "typesource": "C",
  "geo_point_2d": {
    "lat": 43.335464642332234,
    "lon": 5.431611331008614
  }
}

Record 4id: 58 · annee: 2022

{
  "id": 58,
  "annee": "2022",
  "codect": "Null",
  "datemaj": "31/05/2022",
  "codecomm": "Null",
  "codedept": "13",
  "idcourbe": 58,
  "isophone": 65,
  "codeinsee": "Null",
  "geo_shape": "[large value omitted]",
  "validedeb": "31/05/2022",
  "indicetype": "Ln",
  "typesource": "C",
  "geo_point_2d": {
    "lat": 43.29877937534288,
    "lon": 5.39253808234251
  }
}

Record 5id: 63 · annee: 2022

{
  "id": 63,
  "annee": "2022",
  "codect": "CT1",
  "datemaj": "31/05/2022",
  "codecomm": "131206",
  "codedept": "13",
  "idcourbe": 63,
  "isophone": 65,
  "codeinsee": "13206",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            5.380884202602945,
            43.29102481257255
          ],
          [
            5.380905143454033,
            43.29098604164778
          ],
          [
            5.380902255148156,
            43.29098332727331
          ],
          [
            5.38090319305888,
            43.290943103485944
          ],
          [
            5.380903193035327,
            43.29094310322864
          ],
          [
            5.380903193034658,
            43.29094310322855
          ],
          [
            5.380878917703186,
            43.29098422219426
          ],
          [
            5.380878703865879,
            43.29098456197446
          ],
          [
            5.380854791690407,
            43.29102561257393
          ],
          [
            5.380854504351112,
            43.291026102779476
          ],
          [
            5.380830903022281,
            43.291067197620045
          ],
          [
            5.380830663368696,
            43.29106761958095
          ],
          [
            5.380807126065908,
            43.29110879774445
          ],
          [
            5.380795535971187,
            43.291129667825125
          ],
          [
            5.380808717650033,
            43.29112226412228
          ],
          [
            5.380825886638118,
            43.291107950608605
          ],
          [
            5.380834166154544,
            43.291097462471164
          ],
          [
            5.380847042823663,
            43.29108672738542
          ],
          [
            5.380859191224881,
            43.29106606402334
          ],
          [
            5.380883693169209,
            43.29102570566597
          ],
          [
            5.380884202602945,
            43.29102481257255
          ]
        ]
      ]
    },
    "properties": {}
  },
  "validedeb": "31/05/2022",
  "indicetype": "Ln",
  "typesource": "C",
  "geo_point_2d": {
    "lat": 43.29103922586871,
    "lon": 5.3808596244775595
  }
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-n_bruit_isophone_ferroviaire_c_ln

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fr-observatoire-du-bruit-n_bruit_isophone_ferroviaire_c_ln/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.

Full API documentation ↗

Rate limits

5 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

Last upstream update

2 years ago

2025-04-24

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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