Road noise 2017 - future noise exposure (night)Bruit routier 2017 - future charge sonore (nuit)

Bruit routier 2017 - future charge sonore (nuit)Road noise 2017 - future noise exposure (night)

APIDiscovered1/7blocked by verifiedQuery nowOpen workbench Subscribe🇫🇷France

This API from the Strasbourg open-data portal provides access to a type D noise map showing the projected future noise exposure generated by new development and infrastructure projects, expressed through the Ln (night-time) indicator. The dataset corresponds to the 2017 edition. It covers the Strasbourg area at national/local level in France. Further comprehensive information on noise is available on the dedicated pages of strasbourg.eu.Carte de bruit de type D représentant la future charge sonore des nouveaux projets d’aménagement et d’infrastructure pour l'indicateur Ln (nuit). Millésime 2017 Une information complète sur le bruit est disponible sur les pages dédiées de strasbourg.eu

environment

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Trust score

How is this computed?

poor

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	Geographic centroid coordinates (latitude, longitude) of the noise zone.Geographic centroid coordinates (latitude, longitude) of the noise zone.
geo_shapeShape	geo_shape	Polygon geometry outlining the noise level zone.Polygon geometry outlining the noise level zone.
db_loDb lo	text	Lower bound of the night noise level range in decibels.Lower bound of the night noise level range in decibels.
db_hiDb hi	text	Upper bound of the night noise level range in decibels.Upper bound of the night noise level range in decibels.

Schema captured from opendatasoft 3 days ago.

Query the data

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Sample data (5 records)

Record 1db_hi: 70 · db_lo: 65

{
  "db_hi": "70",
  "db_lo": "65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.579882207826542,
            48.538215702889296
          ],
          [
            7.579852943308941,
            48.538243182616014
          ],
          [
            7.579823390321658,
            48.53821802589874
          ],
          [
            7.579848592768776,
            48.53819460508913
          ],
          [
            7.579882207826542,
            48.538215702889296
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5382181883,
    "lon": 7.57985218005
  }
}

Record 2db_hi: 55 · db_lo: 50

{
  "db_hi": "55",
  "db_lo": "50",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.588705052724346,
            48.52746140882619
          ],
          [
            7.58865769064962,
            48.527511467975046
          ],
          [
            7.588560703605765,
            48.52746712210009
          ],
          [
            7.588646658064587,
            48.527388490199066
          ],
          [
            7.588705052724346,
            48.52746140882619
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5274550117,
    "lon": 7.58863890728
  }
}

Record 3db_hi: 99 · db_lo: 75

{
  "db_hi": "99",
  "db_lo": "75",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.742251239493118,
            48.673595224745355
          ],
          [
            7.742187582732587,
            48.6736152191385
          ],
          [
            7.742164106504023,
            48.67359877878222
          ],
          [
            7.742184011785516,
            48.673576818321756
          ],
          [
            7.742251239493118,
            48.673595224745355
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6735960513,
    "lon": 7.74220032318
  }
}

Record 4db_hi: 55 · db_lo: 50

{
  "db_hi": "55",
  "db_lo": "50",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.575130654891553,
            48.54543026106071
          ],
          [
            7.575011316993794,
            48.54553865972582
          ],
          [
            7.574848679260684,
            48.54544138429705
          ],
          [
            7.574993947618813,
            48.54534453755722
          ],
          [
            7.575130654891553,
            48.54543026106071
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.5454398364,
    "lon": 7.57499417569
  }
}

Record 5db_hi: 55 · db_lo: 50

{
  "db_hi": "55",
  "db_lo": "50",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.72376569512196,
            48.67705062658452
          ],
          [
            7.723732874709001,
            48.677054377533814
          ],
          [
            7.723703121142402,
            48.67705316874973
          ],
          [
            7.72372895581788,
            48.67701207288256
          ],
          [
            7.72376569512196,
            48.67705062658452
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 48.6770394256,
    "lon": 7.72373266506
  }
}

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_d_cos_lna_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_d_cos_lna_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 3 days ago

Dataset

Volume & freshness

Records

220

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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