Register record·API·FR·Updated QuarterlyVERIFIED · checked 13h ago
Z
Traffic regulation zones in Bordeaux, 2020Zones réglementaires de circulation à Bordeaux en 2020
Zones réglementaires de circulation à Bordeaux en 2020Traffic regulation zones in Bordeaux, 2020
This dataset, published on the Bordeaux Métropole open-data portal, describes specific traffic regulations applying to designated circulation zones within the city of Bordeaux for the year 2020. It identifies zones subject to particular rules governing vehicle movement, providing a geographic reference for local traffic management. The data is made freely available without authentication and is intended for use in mapping, urban planning, and analysis of mobility restrictions within the Bordeaux metropolitan area.Réglementation spécifique des zones de circulation.
transport
Trust score
How is this computed?45
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Filterable via the API (5)
cdatenaturegidmdategml_id
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. |
| mdate | datetime | Date and time the record was last modified.Date and time the record was last modified. |
| gml_idGml id | text | Unique GML identifier of the geographic feature.Unique GML identifier of the geographic feature. |
Schema captured from opendatasoft 3 days ago.
Query the data
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Sample data (5 records)
Record 1gid: 14611 · cdate: 2019-05-06T00:00:00+00:00
{
"gid": 14611,
"cdate": "2019-05-06T00:00:00+00:00",
"mdate": "2019-05-06T00:00:00+00:00",
"gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.14611",
"nature": "ZONE_30",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.604092930503707,
44.833677991533754
],
[
-0.60424025423651,
44.83372395172418
],
[
-0.604302926387401,
44.8336410727946
],
[
-0.604362176112957,
44.83356217576509
],
[
-0.604392349794605,
44.83352239456503
],
[
-0.604423674425219,
44.83348077525343
],
[
-0.604501067827254,
44.83337824237121
],
[
-0.604558694386997,
44.83330173877437
],
[
-0.604396894549715,
44.83328137050867
],
[
-0.604343066064898,
44.83335180828536
],
[
-0.60428770741254,
44.833424096143546
],
[
-0.604240189650526,
44.8334861364904
],
[
-0.604227199874836,
44.83350312305769
],
[
-0.604220302134939,
44.83351225967624
],
[
-0.604184951464055,
44.833558330391426
],
[
-0.604135322309593,
44.83362304994585
],
[
-0.604092930503707,
44.833677991533754
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.83349737552273,
"lon": -0.604322372661972
}
}Record 2gid: 13971 · cdate: 2019-05-06T00:00:00+00:00
{
"gid": 13971,
"cdate": "2019-05-06T00:00:00+00:00",
"mdate": "2019-05-06T00:00:00+00:00",
"gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.13971",
"nature": "ZONE_DE_RENCONTRE",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.565487933458906,
44.83460458257004
],
[
-0.564995270742334,
44.834666859065806
],
[
-0.564633437404571,
44.83485484117572
],
[
-0.564696210926623,
44.83492205656375
],
[
-0.564821112566911,
44.83485166475506
],
[
-0.564867734551188,
44.834825612360625
],
[
-0.564960463447299,
44.834775415333226
],
[
-0.56501978499202,
44.83475409961799
],
[
-0.565021767700442,
44.8347534069429
],
[
-0.5650238823248,
44.834752800215554
],
[
-0.56502599694911,
44.83475219348819
],
[
-0.565027985220326,
44.83475159071905
],
[
-0.56503023176054,
44.834751069939415
],
[
-0.565032351947663,
44.83475055311804
],
[
-0.565034598487794,
44.834750032338306
],
[
-0.565036718674842,
44.834749515516826
],
[
-0.5650388444248,
44.8347490886014
],
[
-0.565046600432012,
44.8347475845013
],
[
-0.565054356438821,
44.834746080400684
],
[
-0.565062123571196,
44.834744756111725
],
[
-0.565070011493249,
44.8347433379578
],
[
-0.565077784187908,
44.83474210357384
],
[
-0.565085688798283,
44.8347409551371
],
[
-0.565093461492287,
44.83473972075206
],
[
-0.565101371665071,
44.8347386622203
],
[
-0.565109402627517,
44.83473750982354
],
[
-0.565196784038685,
44.83472774604263
],
[
-0.565361791385622,
44.83471014536464
],
[
-0.565466778665483,
44.8346984785719
],
[
-0.565468886109226,
44.83469571013191
],
[
-0.565487933458906,
44.83460458257004
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.83473093349227,
"lon": -0.565063840484128
}
}Record 3gid: 21770 · cdate: 2019-05-06T00:00:00+00:00
{
"gid": 21770,
"cdate": "2019-05-06T00:00:00+00:00",
"mdate": "2019-05-06T00:00:00+00:00",
"gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.21770",
"nature": "ZONE_DE_RENCONTRE",
"geo_shape": "[large value omitted]",
"geo_point_2d": {
"lat": 44.828096632657434,
"lon": -0.5712514651387949
}
}Record 4gid: 14146 · cdate: 2019-05-06T00:00:00+00:00
{
"gid": 14146,
"cdate": "2019-05-06T00:00:00+00:00",
"mdate": "2019-05-06T00:00:00+00:00",
"gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.14146",
"nature": "ZONE_30",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.620246177890347,
44.852764419155505
],
[
-0.619868638858967,
44.85259481837959
],
[
-0.61986868406058,
44.85259553760505
],
[
-0.619866312414629,
44.85260011716593
],
[
-0.61982468051195,
44.85268729000695
],
[
-0.61975760700811,
44.85282706948131
],
[
-0.619723786589461,
44.85289345498789
],
[
-0.61992749862938,
44.85291274078811
],
[
-0.619949154864072,
44.85287043383288
],
[
-0.619932734111519,
44.852867082454985
],
[
-0.619946115870366,
44.85283215517558
],
[
-0.620044303333871,
44.8528066021012
],
[
-0.620084665653871,
44.852795949903296
],
[
-0.620165890153415,
44.85277453948364
],
[
-0.620213234133902,
44.85276213379646
],
[
-0.620246177890347,
44.852764419155505
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.85276334099855,
"lon": -0.6199333541829593
}
}Record 5gid: 12588 · cdate: 2019-05-06T00:00:00+00:00
{
"gid": 12588,
"cdate": "2019-05-06T00:00:00+00:00",
"mdate": "2019-05-06T00:00:00+00:00",
"gml_id": "_4798d219-2972-11eb-a9a2-fb0a0f0c06c1.12588",
"nature": "ZONE_30",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-0.631724470574764,
44.8495928738689
],
[
-0.631708982314004,
44.849682640765174
],
[
-0.632073660385873,
44.84976045782022
],
[
-0.632334750842784,
44.84981617582186
],
[
-0.63233851488901,
44.849807587856965
],
[
-0.632488486898273,
44.849840276734234
],
[
-0.632487077113305,
44.84985005074395
],
[
-0.632761046315715,
44.84990715847262
],
[
-0.632782391902355,
44.84981792511755
],
[
-0.632309776110187,
44.849717340424554
],
[
-0.631921630137488,
44.849634867918404
],
[
-0.631724470574764,
44.8495928738689
]
]
]
},
"properties": {}
},
"geo_point_2d": {
"lat": 44.84974939423266,
"lon": -0.6322432631051375
}
}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
- ✓ 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.
Rate limits
50 000 req/day
per ipmeasured
observed 3 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.
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