Road Noise 2017 - Threshold Exceedance (Day, Evening, Night)Bruit routier 2017 - Dépassement des seuils (jour, soir, nuit)

Name: Road Noise 2017 - Threshold Exceedance (Day, Evening, Night)
Creator: opendatasoft

Bruit routier 2017 - Dépassement des seuils (jour, soir, nuit)Road Noise 2017 - Threshold Exceedance (Day, Evening, Night)

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This dataset, published via the Strasbourg open data portal, provides a type C noise map identifying areas where regulatory limit values for road traffic noise, measured by the Lden indicator (day, evening, night), exceed 68 dB(A). It corresponds to the 2017 reference year and covers the Eurométropole de Strasbourg area in France. The map is part of a broader set of noise-mapping data produced under EU environmental noise regulations, and complementary information on noise levels is available on dedicated pages of the strasbourg.eu website. It is useful for urban planning, environmental assessment, and public information on noise exposure.Carte de type C indiquant les zones où les valeurs limites réglementaires pour le bruit routier pour l'indicateur Lden (jour, soir, nuit) dépassent 68 dB(A). Millésime 2017 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu

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Trust score

How is this computed?

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.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
db_loDb lo	text	—
db_hiDb hi	text	—

Schema captured from opendatasoft 6 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.

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Sample data (5 records)

Record 1db_hi: 1000000 · db_lo: 68

{
  "db_hi": "1000000",
  "db_lo": "68",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.81370914019026,
            48.684579218065544
          ],
          [
            7.813699067654891,
            48.684644855317565
          ],
          [
            7.813646951752042,
            48.68458179241114
          ],
          [
            7.813691615824385,
            48.684565931545436
          ],
          [
            7.81370914019026,
            48.684579218065544
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6845973028,
    "lon": 7.81368461392
  }
}

Record 2db_hi: 1000000 · db_lo: 68

{
  "db_hi": "1000000",
  "db_lo": "68",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.711611559994664,
            48.68542705853477
          ],
          [
            7.71158308650153,
            48.685437313220994
          ],
          [
            7.711447042610835,
            48.68543756773933
          ],
          [
            7.711426204066637,
            48.68543456812878
          ],
          [
            7.711446115348691,
            48.68542753341087
          ],
          [
            7.711581492890093,
            48.68542006851822
          ],
          [
            7.711611559994664,
            48.68542705853477
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6854303158,
    "lon": 7.71152486646
  }
}

Record 3db_hi: 1000000 · db_lo: 68

{
  "db_hi": "1000000",
  "db_lo": "68",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.710466352204771,
            48.68529326225465
          ],
          [
            7.710347189473683,
            48.685315101046584
          ],
          [
            7.710211329577872,
            48.68531734228303
          ],
          [
            7.710075615561784,
            48.68532116258561
          ],
          [
            7.709964747223978,
            48.685313578922
          ],
          [
            7.710072962633978,
            48.68529244558121
          ],
          [
            7.710208784203612,
            48.68528979030207
          ],
          [
            7.710344481689208,
            48.68528579192839
          ],
          [
            7.710466352204771,
            48.68529326225465
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6853034799,
    "lon": 7.7102140016
  }
}

Record 4db_hi: 1000000 · db_lo: 68

{
  "db_hi": "1000000",
  "db_lo": "68",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.70800164746312,
            48.6851227870755
          ],
          [
            7.707881657603335,
            48.685138262959974
          ],
          [
            7.707842377222144,
            48.68512923492299
          ],
          [
            7.707878960025473,
            48.68510904888573
          ],
          [
            7.70800164746312,
            48.6851227870755
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6851238832,
    "lon": 7.70790798718
  }
}

Record 5db_hi: 1000000 · db_lo: 68

{
  "db_hi": "1000000",
  "db_lo": "68",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.829360028162995,
            48.668612690473765
          ],
          [
            7.829329938267819,
            48.668652501662976
          ],
          [
            7.829287744316302,
            48.66861569343605
          ],
          [
            7.829322957978681,
            48.6685787884586
          ],
          [
            7.829360028162995,
            48.668612690473765
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6686151941,
    "lon": 7.82932478923
  }
}

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_ldc_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_route_ldc_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 6 days ago

Dataset

Volume & freshness

Records

1.4k

1443

Last upstream update

6 years ago

2020-11-19

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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