Zones réglementaires de circulation à Bordeaux en 2020

Name: Zones réglementaires de circulation à Bordeaux en 2020
Creator: opendatasoft

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Réglementation spécifique des zones de circulation.

⬇ Export CSV List records Select & filter API base URL Read the docs

Trust score

How is this computed?

poor

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

Data schema (7 fields)

Filterable via the API (5)

cdatenaturegidgml_idmdate

Click a field to see example values.

Field	Type	Description
geo_point_2dGeo Point	geo_point_2d	—
geo_shapeShape	geo_shape	—
cdate	datetime	—
nature	text	—
gid	int	—
gml_idGml id	text	—
mdate	datetime	—

Schema captured from opendatasoft 2 hours 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 1gid: 13899 · cdate: 2019-05-06T00:00:00+00:00

{
  "gid": 13899,
  "cdate": "2019-05-06T00:00:00+00:00",
  "mdate": "2019-05-06T00:00:00+00:00",
  "gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.13899",
  "nature": "ZONE_30",
  "geo_shape": null,
  "geo_point_2d": null
}

Record 2gid: 12434 · cdate: 2019-05-06T00:00:00+00:00

{
  "gid": 12434,
  "cdate": "2019-05-06T00:00:00+00:00",
  "mdate": "2019-05-06T00:00:00+00:00",
  "gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.12434",
  "nature": "ZONE_30",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.586788818214801,
            44.84351499223363
          ],
          [
            -0.586641956686382,
            44.84354169023404
          ],
          [
            -0.586778735964487,
            44.84363980235794
          ],
          [
            -0.586905616780715,
            44.843601302653724
          ],
          [
            -0.586849876419802,
            44.84356018057448
          ],
          [
            -0.586788818214801,
            44.84351499223363
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.84357465941222,
    "lon": -0.5867770036216187
  }
}

Record 3gid: 13313 · cdate: 2019-05-06T00:00:00+00:00

{
  "gid": 13313,
  "cdate": "2019-05-06T00:00:00+00:00",
  "mdate": "2019-05-06T00:00:00+00:00",
  "gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.13313",
  "nature": "ZONE_30",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.577267342273871,
            44.84489499064324
          ],
          [
            -0.577078322786146,
            44.8447587836817
          ],
          [
            -0.576812206604581,
            44.844959289192595
          ],
          [
            -0.576911741790358,
            44.84503083823186
          ],
          [
            -0.576918572974901,
            44.84507152024872
          ],
          [
            -0.577108940667131,
            44.84509688569402
          ],
          [
            -0.577105509781788,
            44.845072221289826
          ],
          [
            -0.577104560193484,
            44.84507324202247
          ],
          [
            -0.577058651662379,
            44.845039463211684
          ],
          [
            -0.577267342273871,
            44.84489499064324
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.8449325007395,
    "lon": -0.5770377246861125
  }
}

Record 4gid: 13423 · cdate: 2019-05-06T00:00:00+00:00

{
  "gid": 13423,
  "cdate": "2019-05-06T00:00:00+00:00",
  "mdate": "2019-05-06T00:00:00+00:00",
  "gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.13423",
  "nature": "ZONE_DE_RENCONTRE",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.571836034581436,
            44.8374366352905
          ],
          [
            -0.571737722181665,
            44.837433505279435
          ],
          [
            -0.571737253126865,
            44.83750558452697
          ],
          [
            -0.571736834100354,
            44.837590723898884
          ],
          [
            -0.571736523275857,
            44.83763676486936
          ],
          [
            -0.571710439229024,
            44.83765713100706
          ],
          [
            -0.571862421228437,
            44.83764578515189
          ],
          [
            -0.571834204340498,
            44.837627663737194
          ],
          [
            -0.571834252891548,
            44.83760189914431
          ],
          [
            -0.571834968856661,
            44.83754197303343
          ],
          [
            -0.571835418947424,
            44.837498179705264
          ],
          [
            -0.571836034581436,
            44.8374366352905
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.837545606617205,
    "lon": -0.5717857510196782
  }
}

Record 5gid: 13368 · cdate: 2019-05-06T00:00:00+00:00

{
  "gid": 13368,
  "cdate": "2019-05-06T00:00:00+00:00",
  "mdate": "2019-05-06T00:00:00+00:00",
  "gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.13368",
  "nature": "ZONE_30",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            -0.595358426478082,
            44.832391730193365
          ],
          [
            -0.595350706449025,
            44.83237350732554
          ],
          [
            -0.595286302788359,
            44.83239229739019
          ],
          [
            -0.594543624914972,
            44.83260826455961
          ],
          [
            -0.594511582825828,
            44.832618194804965
          ],
          [
            -0.594555345886984,
            44.83262365863706
          ],
          [
            -0.594611545800686,
            44.832607290112094
          ],
          [
            -0.594611975319358,
            44.832608087280704
          ],
          [
            -0.594616330133918,
            44.832606868735674
          ],
          [
            -0.594675385497551,
            44.832589599241416
          ],
          [
            -0.59475748394153,
            44.83256628695812
          ],
          [
            -0.594874238313886,
            44.83253233112576
          ],
          [
            -0.594988872713108,
            44.83249889255281
          ],
          [
            -0.595118685582476,
            44.832461190885965
          ],
          [
            -0.595226247008963,
            44.832430047405836
          ],
          [
            -0.595358426478082,
            44.832391730193365
          ]
        ]
      ]
    },
    "properties": {}
  },
  "geo_point_2d": {
    "lat": 44.83250072493324,
    "lon": -0.5949476490366828
  }
}

Live sample captured at profiling time — values may have changed upstream.

Using the API

Configuration

Base URL: https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/bor_sigzonereg

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/bor_sigzonereg/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

50 000 req/day

per ipmeasured

observed 2 hours ago

Dataset

Volume & freshness

Records

3.2k

3176

Update cadence

Quarterly

declared upstream

Last upstream update

5 years ago

2022-01-10

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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