Trafic annuel entrant par station du réseau ferré 2019
Ce jeu de données détaille le trafic des entrants directs sur le réseau ferré RATP en 2019. Les « entrants directs » sont exclusivement les voyageurs provenant de la voie publique ou du réseau SNCF entrant sur le réseau de transport RATP en validant un titre de transport valide. Les voyageurs en...
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Data schema (11 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | rang | int | — |
| 100% | reseauRéseau | text | — |
| 100% | station | text | — |
| 100% | trafic | int | — |
| 100% | correspondance_1Correspondance 1 | text | — |
| 16% | correspondance_2Correspondance 2 | text | — |
| 4.6% | correspondance_3Correspondance 3 | text | — |
| 1.4% | correspondance_4Correspondance 4 | text | — |
| 0.8% | correspondance_5Correspondance 5 | text | — |
| 100% | ville | text | — |
| 68.8% | arrondissement_pour_parisArrondissement pour paris | int | — |
Schema captured from opendatasoft 1 hour 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 1rang: 53 · ville: Neuilly Sur Seine
{
"rang": 53,
"ville": "Neuilly Sur Seine",
"reseau": "Métro",
"trafic": 6314665,
"station": "LES SABLONS",
"correspondance_1": "1",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": null
}Record 2rang: 35 · ville: Paris
{
"rang": 35,
"ville": "Paris",
"reseau": "Métro",
"trafic": 7306788,
"station": "CHATEAU ROUGE",
"correspondance_1": "4",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": 18
}Record 3rang: 37 · ville: Aubervilliers
{
"rang": 37,
"ville": "Aubervilliers",
"reseau": "Métro",
"trafic": 7215915,
"station": "AUBERVILLIERS-PANTIN-QUATRE CHEMINS",
"correspondance_1": "7",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": null
}Record 4rang: 89 · ville: Paris
{
"rang": 89,
"ville": "Paris",
"reseau": "Métro",
"trafic": 4764374,
"station": "ALESIA",
"correspondance_1": "4",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": 14
}Record 5rang: 124 · ville: Asnières sur Seine
{
"rang": 124,
"ville": "Asnières sur Seine",
"reseau": "Métro",
"trafic": 3886523,
"station": "LES COURTILLES",
"correspondance_1": "13",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": null
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/trafic-annuel-entrant-par-station-du-reseau-ferre-2019
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/trafic-annuel-entrant-par-station-du-reseau-ferre-2019/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
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