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Register record·API·FR·MUNICIPALITYVERIFIED · checked 3d ago
S

Intervention sectors of the Rennes public road-cleaning units (Roads Department)Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes

Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de RennesIntervention sectors of the Rennes public road-cleaning units (Roads Department)

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This dataset provides a polygon layer showing the intervention sectors of the teams from the Roads, Cleanliness and Festivities Department (Direction de la Voirie Propreté et Fêtes) responsible for cleaning public roads in Rennes. Each unit is linked to a specific team, referenced through a related dataset (UUID 76317e99-3d65-454a-a197-ecd95a5bc2ca). The data is published by Rennes Métropole and can be used to identify which municipal unit is responsible for street cleaning operations in a given area of the city.”Cette couche de polygones permet de connaître les secteurs d'intervention des équipes de la Direction de la Voirie Propreté et Fêtes chargées de la propreté des voies publiques. Chaque unité est rattachée à une équipe (voir métadonnées UUID = 76317e99-3d65-454a-a197-ecd95a5bc2ca).

environment
57
fair

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

Data schema (5 fields)

Filterable via the API (3)
gml_idcode_secteurnum_equipe

Click a field to see example values.

FieldTypeDescription
geo_point_2dGeo Pointgeo_point_2dGeographic centroid point of the sector, as latitude and longitude.Geographic centroid point of the sector, as latitude and longitude.
geo_shapeShapegeo_shapePolygon geometry defining the boundary of the intervention sector.Polygon geometry defining the boundary of the intervention sector.
gml_idFilterable via the APIGml idtextUnique GML identifier of the geographic feature.Unique GML identifier of the geographic feature.
code_secteurFilterable via the APICode secteurtextCode identifying the street cleaning intervention sector.Code identifying the street cleaning intervention sector.
num_equipeFilterable via the APINum equipeintNumber identifying the team assigned to the sector.Number identifying the team assigned to the sector.

Schema captured from opendatasoft 3 days ago.

Query the data

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=

Sample data (5 records)

These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.

Record 1gml_id: v_prop_event_secteur.00 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.00",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
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          ]
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    },
    "properties": {}
  },
  "num_equipe": 0,
  "code_secteur": "00",
  "geo_point_2d": {
    "lat": 48.109582389425036,
    "lon": -1.6910317984260441
  }
}
Record 2gml_id: v_prop_event_secteur.44 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.44",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
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          [
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    },
    "properties": {}
  },
  "num_equipe": 4,
  "code_secteur": "44",
  "geo_point_2d": {
    "lat": 48.099508127339845,
    "lon": -1.6808603603098475
  }
}
Record 3gml_id: v_prop_event_secteur.46 · geo_shape: [large value omitted]
{
  "gml_id": "v_prop_event_secteur.46",
  "geo_shape": "[large value omitted]",
  "num_equipe": 4,
  "code_secteur": "46",
  "geo_point_2d": {
    "lat": 48.08878613170866,
    "lon": -1.6849367821851846
  }
}
Record 4gml_id: v_prop_event_secteur.65 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
  "gml_id": "v_prop_event_secteur.65",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
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    },
    "properties": {}
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  "num_equipe": 6,
  "code_secteur": "65",
  "geo_point_2d": {
    "lat": 48.122577705990466,
    "lon": -1.700129746470889
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}
Record 5gml_id: v_prop_event_secteur.34c · geo_shape: [large value omitted]
{
  "gml_id": "v_prop_event_secteur.34c",
  "geo_shape": "[large value omitted]",
  "num_equipe": 3,
  "code_secteur": "34c",
  "geo_point_2d": {
    "lat": 48.10955153960112,
    "lon": -1.6434963768685462
  }
}

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

Verification Status

Using the API

Configuration

Base URL
https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteur_intervention_unite_dvpf

License

  • ✓ Redistributable
  • ✓ Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/secteur_intervention_unite_dvpf/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

7 000 req/day
per ipmeasured
observed 3 days ago

Dataset

Volume & freshness

Records
71
Last upstream update
3 days ago
2026-10-20

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

Secteurs d'intervention des unités de la Direction de la Voirie en charge de la propreté des voies publiques de Rennes — live verification badge

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