Noise 2017 - Land Transport InfrastructureBruit 2017 - Infrastructures de transports terrestres

Name: Noise 2017 - Land Transport Infrastructure
Creator: opendatasoft

Bruit 2017 - Infrastructures de transports terrestresNoise 2017 - Land Transport Infrastructure

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This API provides access to a Type B map of areas affected by the official noise classification of land transport infrastructure, as established by the French State, for the 2017 reference year. The dataset covers the Strasbourg Eurometropolis area and is published as part of the Strasbourg open data portal. It is intended to help identify zones impacted by noise from transport infrastructure such as roads and railways. Additional detailed information on noise is available on dedicated pages of the strasbourg.eu website.Carte de type B des secteurs impactés par le classement sonore des infrastructures de transports terrestres établi par l'Etat. 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 (5 fields)

Filterable via the API (3)

sourceclassementfme_feature_type

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
source	text	—
classement	text	—
fme_feature_typeFme feature type	text	—

Schema captured from opendatasoft 7 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.

Where=

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Sample data (5 records)

Record 1source: filaire hors EMS 2017 · geo_shape: {"type":"Feature","geometry":{"type":"Li

{
  "source": "filaire hors EMS 2017",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          7.712318226900896,
          48.68781752369066,
          152.1
        ],
        [
          7.712692072381215,
          48.687496374141375,
          152.1
        ],
        [
          7.713046744961702,
          48.68715886164195,
          151.5
        ]
      ]
    },
    "properties": {}
  },
  "classement": "1",
  "geo_point_2d": {
    "lat": 48.6874928277,
    "lon": 7.71268667719
  },
  "fme_feature_type": "B__infrastructure__EMS2017"
}

Record 2source: filaire hors EMS 2017 · geo_shape: {"type":"Feature","geometry":{"type":"Li

{
  "source": "filaire hors EMS 2017",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          7.714744117348228,
          48.68215837771278,
          154.1
        ],
        [
          7.714698494566987,
          48.68227101447736,
          154.1
        ],
        [
          7.714638140550941,
          48.682401354525325,
          154.1
        ],
        [
          7.714493430125443,
          48.682667489834564,
          154.1
        ]
      ]
    },
    "properties": {}
  },
  "classement": "1",
  "geo_point_2d": {
    "lat": 48.6824159053,
    "lon": 7.71462497788
  },
  "fme_feature_type": "B__infrastructure__EMS2017"
}

Record 3source: filaire hors EMS 2017 · geo_shape: {"type":"Feature","geometry":{"type":"Li

{
  "source": "filaire hors EMS 2017",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          7.740646530037667,
          48.59685804060968,
          143.5
        ],
        [
          7.74060600826651,
          48.59690561462725,
          144
        ],
        [
          7.74042139592358,
          48.59710221542753,
          144
        ],
        [
          7.740378787790032,
          48.59714176221865,
          143.8
        ]
      ]
    },
    "properties": {}
  },
  "classement": "3",
  "geo_point_2d": {
    "lat": 48.5970019536,
    "lon": 7.74051480409
  },
  "fme_feature_type": "B__infrastructure__EMS2017"
}

Record 4source: filaire hors EMS 2017 · geo_shape: {"type":"Feature","geometry":{"type":"Li

{
  "source": "filaire hors EMS 2017",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          7.7339507213525955,
          48.585188408178276,
          143.7913378360723
        ],
        [
          7.7344231940916774,
          48.58575247826724,
          143.4
        ],
        [
          7.734433886575972,
          48.58576556965702,
          143.4
        ],
        [
          7.7349623422404905,
          48.586351896385175,
          143.7
        ],
        [
          7.735512086387053,
          48.58694818672144,
          143.9
        ],
        [
          7.735830278050763,
          48.58731219145623,
          144.2
        ],
        [
          7.73630665145024,
          48.58783300134053,
          144.2
        ],
        [
          7.736776673432445,
          48.58835856828807,
          144
        ]
      ]
    },
    "properties": {}
  },
  "classement": "3",
  "geo_point_2d": {
    "lat": 48.5867802159,
    "lon": 7.73535594091
  },
  "fme_feature_type": "B__infrastructure__EMS2017"
}

Record 5source: filaire hors EMS 2017 · geo_shape: {"type":"Feature","geometry":{"type":"Li

{
  "source": "filaire hors EMS 2017",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "LineString",
      "coordinates": [
        [
          7.7243962299822915,
          48.62298956952317,
          146.5693955129596
        ],
        [
          7.724450194530613,
          48.6226170217212,
          146.9
        ],
        [
          7.7244897850842715,
          48.62231808142134,
          147.4
        ],
        [
          7.724505076831262,
          48.62221654920343,
          147.4
        ],
        [
          7.724526716242547,
          48.62204988456185,
          147.4
        ],
        [
          7.7246840610517555,
          48.62091814161312,
          146.8
        ],
        [
          7.724879774642384,
          48.619624474233596,
          146.6
        ],
        [
          7.725077569049681,
          48.61829377624593,
          146.4
        ],
        [
          7.72527678875663,
          48.61696392056924,
          146.2
        ],
        [
          7.725475917205746,
          48.6156331652033,
          146
        ],
        [
          7.725512944898327,
          48.61538118251633,
          146.5
        ],
        [
          7.725522947408021,
          48.615311398802355,
          146.6
        ],
        [
          7.725539264726135,
          48.61520622047412,
          146.9
        ],
        [
          7.725603489683134,
          48.61468372175887,
          145.8
        ]
      ]
    },
    "properties": {}
  },
  "classement": "2",
  "geo_point_2d": {
    "lat": 48.6188364474,
    "lon": 7.7249987593
  },
  "fme_feature_type": "B__infrastructure__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_b_infrastructure_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_b_infrastructure_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 7 days ago

Dataset

Volume & freshness

Records

5.1k

5118

Last upstream update

6 years ago

2020-12-07

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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