PLUi - Noise Classification of Road and Rail InfrastructurePLUi - Classement sonore des infrastructures routières et ferroviaires
PLUi - Classement sonore des infrastructures routières et ferroviairesPLUi - Noise Classification of Road and Rail Infrastructure
This dataset, published by Rennes Métropole as part of the local urban plan (PLUi), identifies sectors affected by noise from road and rail infrastructure with an impact on air quality and noise pollution. It maps vigilance zones along heavily trafficked road and rail corridors, supporting the official noise classification of transport infrastructure. The data is useful for urban planning, building regulations, and assessing noise exposure near major transport routes within the Rennes Métropole area.Ces secteurs recensent les secteurs affectés par le bruit au regard des infrastructures terrestres (voies routières et ferrées) ayant un impact sur la qualité de l'air et de nuisances sonores. Des zones de vigilance aux abords des axes routiers et ferrés à fort trafic, en appui du classement sono...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (31 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | gml_idGml id | text | — |
| — | objectid | int | — |
| — | anc_objectidAnc objectid | text | — |
| — | id_rmId rm | int | — |
| — | idurba | text | — |
| — | code_inseeINSEE commune code | text | — |
| — | code_rmCode rm | text | — |
| — | typeinf | text | — |
| 99.2% | stypeinf | int | — |
| 0.8% | commentaire | text | — |
| 100% | semio | text | — |
| 0% | libelle | text | — |
| 0% | txt | text | — |
| 0% | nom | text | — |
| 0% | nomfic | text | — |
| 0% | urlfic | text | — |
| 0% | num | text | — |
| 0% | anc_numAnc num | text | — |
| 0% | renumerotation | text | — |
| 0% | article | text | — |
| 0% | benef | text | — |
| 0% | decis | text | — |
| 0% | datedecis | text | — |
| 0% | datedecism | text | — |
| 100% | date_proc_creatDate proc creat | text | — |
| 0% | date_proc_modifDate proc modif | text | — |
| 100% | date_creatDate creat | datetime | — |
| 100% | date_modifDate modif | datetime | — |
| 100% | agent | text | — |
Schema captured from opendatasoft 6 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.
Sample data (5 records)
Record 1nom: — · num: —
{
"nom": null,
"num": null,
"txt": null,
"agent": "SF",
"benef": null,
"decis": null,
"id_rm": 350565,
"semio": "bruit2_s",
"gml_id": "plui_theme_risque_classement_voie.46407",
"idurba": "243500139_PLUI_20250619",
"nomfic": null,
"urlfic": null,
"anc_num": null,
"article": null,
"code_rm": "inf_bruit2_s",
"libelle": null,
"typeinf": null,
"objectid": 46407,
"stypeinf": 0,
"datedecis": null,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": "2024-12-16T13:41:15+00:00",
"date_modif": "2025-02-17T15:44:32+00:00",
"datedecism": null,
"commentaire": null,
"anc_objectid": null,
"geo_point_2d": {
"lat": 48.10378241452389,
"lon": -1.768614117684193
},
"renumerotation": null,
"date_proc_creat": "20250227",
"date_proc_modif": null
}Record 2nom: — · num: —
{
"nom": null,
"num": null,
"txt": null,
"agent": "SF",
"benef": null,
"decis": null,
"id_rm": 350573,
"semio": "bruit2_s",
"gml_id": "plui_theme_risque_classement_voie.46415",
"idurba": "243500139_PLUI_20250619",
"nomfic": null,
"urlfic": null,
"anc_num": null,
"article": null,
"code_rm": "inf_bruit2_s",
"libelle": null,
"typeinf": null,
"objectid": 46415,
"stypeinf": 0,
"datedecis": null,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": "2024-12-16T13:41:15+00:00",
"date_modif": "2025-02-17T15:44:32+00:00",
"datedecism": null,
"commentaire": null,
"anc_objectid": null,
"geo_point_2d": {
"lat": 48.02567825073227,
"lon": -1.5990411846863057
},
"renumerotation": null,
"date_proc_creat": "20250227",
"date_proc_modif": null
}Record 3nom: — · num: —
{
"nom": null,
"num": null,
"txt": null,
"agent": "SF",
"benef": null,
"decis": null,
"id_rm": 350617,
"semio": "bruit3_s",
"gml_id": "plui_theme_risque_classement_voie.46459",
"idurba": "243500139_PLUI_20250619",
"nomfic": null,
"urlfic": null,
"anc_num": null,
"article": null,
"code_rm": "inf_bruit3_s",
"libelle": null,
"typeinf": null,
"objectid": 46459,
"stypeinf": 0,
"datedecis": null,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": "2024-12-16T13:41:15+00:00",
"date_modif": "2025-02-17T15:44:32+00:00",
"datedecism": null,
"commentaire": null,
"anc_objectid": null,
"geo_point_2d": {
"lat": 48.02808146650959,
"lon": -1.7710128953245816
},
"renumerotation": null,
"date_proc_creat": "20250227",
"date_proc_modif": null
}Record 4nom: — · num: —
{
"nom": null,
"num": null,
"txt": null,
"agent": "SF",
"benef": null,
"decis": null,
"id_rm": 350631,
"semio": "bruit4_s",
"gml_id": "plui_theme_risque_classement_voie.46473",
"idurba": "243500139_PLUI_20250619",
"nomfic": null,
"urlfic": null,
"anc_num": null,
"article": null,
"code_rm": "inf_bruit4_s",
"libelle": null,
"typeinf": null,
"objectid": 46473,
"stypeinf": 0,
"datedecis": null,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": "2024-12-16T13:41:15+00:00",
"date_modif": "2025-02-17T15:44:32+00:00",
"datedecism": null,
"commentaire": null,
"anc_objectid": null,
"geo_point_2d": {
"lat": 48.129837362439865,
"lon": -1.8239344515525233
},
"renumerotation": null,
"date_proc_creat": "20250227",
"date_proc_modif": null
}Record 5nom: — · num: —
{
"nom": null,
"num": null,
"txt": null,
"agent": "SF",
"benef": null,
"decis": null,
"id_rm": 350660,
"semio": "bruit4_s",
"gml_id": "plui_theme_risque_classement_voie.46502",
"idurba": "243500139_PLUI_20250619",
"nomfic": null,
"urlfic": null,
"anc_num": null,
"article": null,
"code_rm": "inf_bruit4_s",
"libelle": null,
"typeinf": null,
"objectid": 46502,
"stypeinf": 0,
"datedecis": null,
"geo_shape": "[large value omitted]",
"code_insee": null,
"date_creat": "2024-12-16T13:41:15+00:00",
"date_modif": "2025-02-17T15:44:32+00:00",
"datedecism": null,
"commentaire": null,
"anc_objectid": null,
"geo_point_2d": {
"lat": 48.10661962625905,
"lon": -1.5064421790459646
},
"renumerotation": null,
"date_proc_creat": "20250227",
"date_proc_modif": null
}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/plui-classement-sonore-des-infrastructures-routieres-et-ferroviaires
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/plui-classement-sonore-des-infrastructures-routieres-et-ferroviaires/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
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.