Zones réglementaires de circulation à Bordeaux en 2020

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

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

Website Docs

Réglementation spécifique des zones de circulation.

⬇ Export CSV List records Select & filter Run verified request 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	Geographic centroid coordinates (latitude, longitude) of the zone.Geographic centroid coordinates (latitude, longitude) of the zone.
geo_shapeShape	geo_shape	Geographic boundary polygon of the traffic zone.Geographic boundary polygon of the traffic zone.
cdate	datetime	Date and time the record was created.Date and time the record was created.
nature	text	Type of traffic regulation zone, e.g. ZONE_30.Type of traffic regulation zone, e.g. ZONE_30.
gid	int	Internal numeric identifier of the record.Internal numeric identifier of the record.
gml_idGml id	text	Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature.
mdate	datetime	Date and time the record was last modified.Date and time the record was last modified.

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=

Sort by

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.

Verification Status

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 7 days 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.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.