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Road Noise 2017 - Threshold Exceedance (Night)Bruit routier 2017 - Dépassement des seuils (nuit)

Bruit routier 2017 - Dépassement des seuils (nuit)Road Noise 2017 - Threshold Exceedance (Night)

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This API provides a type-C map identifying areas where the regulatory limit values for road traffic noise, measured by the Ln (night-time) indicator, exceed 62 dB(A). The data refers to the 2017 reference year and covers the Strasbourg area in France. It is published as part of the Strasbourg open-data initiative, with more comprehensive noise-related information available on the dedicated pages of strasbourg.eu. The dataset can be used for environmental and urban planning analysis concerning nighttime road noise exposure.Carte de type C indiquant les zones où les valeurs limites réglementaires pour le bruit routier pour l'indicateur Ln (nuit) dépassent 62 dB(A). Millésime 2017 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu

environment
45
fair

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

Data schema (4 fields)

Filterable via the API (2)
db_lodb_hi

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2dGeographic centroid coordinates of the noise exceedance zone.Geographic centroid coordinates of the noise exceedance zone.
geo_shapeShapegeo_shapePolygon geometry outlining the noise exceedance zone.Polygon geometry outlining the noise exceedance zone.
db_loFilterable via the APIDb lotextLower bound of the night noise level range in dB(A).Lower bound of the night noise level range in dB(A).
db_hiFilterable via the APIDb hitextUpper bound of the night noise level range in dB(A).Upper bound of the night noise level range in dB(A).

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 1db_hi: 1000000 · db_lo: 62
{
  "db_hi": "1000000",
  "db_lo": "62",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.680100425184428,
            48.51786127430289
          ],
          [
            7.680012063107131,
            48.51788825664345
          ],
          [
            7.679876573160656,
            48.51788966626534
          ],
          [
            7.679740074168842,
            48.51788004556227
          ],
          [
            7.679709672788002,
            48.51787705149391
          ],
          [
            7.679737932208525,
            48.51785663098495
          ],
          [
            7.679872668488272,
            48.51784698405648
          ],
          [
            7.680008197197891,
            48.51784599938246
          ],
          [
            7.680100425184428,
            48.51786127430289
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5178676516,
    "lon": 7.67990512771
  }
}
Record 2db_hi: 1000000 · db_lo: 62
{
  "db_hi": "1000000",
  "db_lo": "62",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.6104471518,
    "lon": 7.6713484788
  }
}
Record 3db_hi: 1000000 · db_lo: 62
{
  "db_hi": "1000000",
  "db_lo": "62",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.6422629493,
    "lon": 7.77704032639
  }
}
Record 4db_hi: 1000000 · db_lo: 62
{
  "db_hi": "1000000",
  "db_lo": "62",
  "geo_shape": "[large value omitted]",
  "geo_point_2d": {
    "lat": 48.5554366469,
    "lon": 7.67918234607
  }
}
Record 5db_hi: 1000000 · db_lo: 62
{
  "db_hi": "1000000",
  "db_lo": "62",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.809777791045198,
            48.641312520831086
          ],
          [
            7.809750452318587,
            48.641347273462586
          ],
          [
            7.809706014586889,
            48.64131549220997
          ],
          [
            7.809745138617145,
            48.64129090003885
          ],
          [
            7.809777791045198,
            48.641312520831086
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6413174678,
    "lon": 7.80974403367
  }
}

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_route_lnc_ems2017

License

  • ✓ Redistributable
  • ✓ Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/bruit_c_route_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
1.5k
1488
Last upstream update
6 years ago
2020-10-16

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

Bruit routier 2017 - Dépassement des seuils (nuit) — live verification badge

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