Railway Noise 2017 - Threshold Exceedance (Night)Bruit ferroviaire 2017 - Dépassement des seuils (nuit)

Bruit ferroviaire 2017 - Dépassement des seuils (nuit)Railway Noise 2017 - Threshold Exceedance (Night)

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This dataset provides a type C noise map showing areas where regulatory limits for the night-time railway noise indicator (Ln) are exceeded, based on 2017 data. The thresholds applied are 65 dB(A) for conventional railway lines and 62 dB(A) for high-speed lines. The map is part of a broader set of noise-mapping data published for the Strasbourg area, intended to identify zones affected by excessive nocturnal rail noise for planning and public information purposes.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 2017 Une information complète sur le bruit est disponible s...

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Data schema (5 fields)

Filterable via the API (3)

db_lodb_hifme_feature_type

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the noise zone.Geographic centroid coordinates of the noise zone.
geo_shapeShape	geo_shape	Polygon geometry outlining the railway noise exceedance zone.Polygon geometry outlining the railway noise exceedance zone.
db_loDb lo	text	Lower bound of the noise level range in decibels.Lower bound of the noise level range in decibels.
db_hiDb hi	text	Upper bound of the noise level range in decibels.Upper bound of the noise level range in decibels.
fme_feature_typeFme feature type	text	Internal feature type code identifying the noise map dataset.Internal feature type code identifying the noise map dataset.

Schema captured from opendatasoft 2 days ago.

Query the data

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Sample data (5 records)

Record 1db_hi: 1000000 · db_lo: 65

{
  "db_hi": "1000000",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.725061336890857,
            48.576584311232985
          ],
          [
            7.725040706759796,
            48.57664544976241
          ],
          [
            7.724936045035182,
            48.57658941298103
          ],
          [
            7.725033081684609,
            48.57656299456363
          ],
          [
            7.725061336890857,
            48.576584311232985
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5765989304,
    "lon": 7.72501200627
  },
  "fme_feature_type": "C__fer_LNC__EMS2017"
}

Record 2db_hi: 1000000 · db_lo: 65

{
  "db_hi": "1000000",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.728433580502545,
            48.60419741985015
          ],
          [
            7.728407020066984,
            48.60421820551621
          ],
          [
            7.728330185313557,
            48.60420163069663
          ],
          [
            7.728399456071779,
            48.60413651404813
          ],
          [
            7.728433580502545,
            48.60419741985015
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6041850648,
    "lon": 7.72838834649
  },
  "fme_feature_type": "C__fer_LNC__EMS2017"
}

Record 3db_hi: 1000000 · db_lo: 65

{
  "db_hi": "1000000",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.7130129166869,
            48.572479272059155
          ],
          [
            7.712982372584849,
            48.572511071973054
          ],
          [
            7.71291913741617,
            48.57248308121144
          ],
          [
            7.712977770120687,
            48.572461170623896
          ],
          [
            7.7130129166869,
            48.572479272059155
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5724846564,
    "lon": 7.71297087741
  },
  "fme_feature_type": "C__fer_LNC__EMS2017"
}

Record 4db_hi: 1000000 · db_lo: 65

{
  "db_hi": "1000000",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.709560958174489,
            48.57000658682245
          ],
          [
            7.709497056830799,
            48.57004906016409
          ],
          [
            7.709466072608175,
            48.57001043826963
          ],
          [
            7.709489362474773,
            48.569965569523085
          ],
          [
            7.709560958174489,
            48.57000658682245
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5700074418,
    "lon": 7.70950668493
  },
  "fme_feature_type": "C__fer_LNC__EMS2017"
}

Record 5db_hi: 1000000 · db_lo: 65

{
  "db_hi": "1000000",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.717494174429976,
            48.574009037525975
          ],
          [
            7.71747089961644,
            48.57407052609891
          ],
          [
            7.717332237054817,
            48.57401562116461
          ],
          [
            7.717436257721559,
            48.573921293510466
          ],
          [
            7.717454269988233,
            48.573890399599925
          ],
          [
            7.717591569417192,
            48.573906950395774
          ],
          [
            7.717604686560612,
            48.57391444578944
          ],
          [
            7.717592795756424,
            48.57392023333873
          ],
          [
            7.717494174429976,
            48.574009037525975
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5739721309,
    "lon": 7.71746359548
  },
  "fme_feature_type": "C__fer_LNC__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_c_fer_lnc_ems2017

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_c_fer_lnc_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.

Full API documentation ↗

Rate limits

2 000 000 req/day

per ipmeasured

observed 2 days ago

Dataset

Volume & freshness

Records

169

Last upstream update

6 years ago

2020-12-07

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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