[GPS Parking] Occupancy rate of monitored parking spaces, April 2026[Parkings GPS] Taux d'occupation des places monitorées avril 2026
[Parkings GPS] Taux d'occupation des places monitorées avril 2026[GPS Parking] Occupancy rate of monitored parking spaces, April 2026
This dataset compiles occupancy statistics for monitored parking spaces within the Grand Paris Sud territory (France). Data is collected through sensors installed on individual parking spaces, deployed by the company UPCITI, which guarantees the accuracy of the readings. The dataset is structured to cover a complete weekly cycle, allowing analysis of occupancy patterns by day and time. It is published as part of the Grand Paris Sud open data portal and can be used to study parking usage trends and inform mobility or urban planning decisions.Ce fichier regroupe les statistiques d'occupation des parkings sur le territoire. Les données de ces parkings sont remontées suite au déploiements de capteurs à la place de la société UPCITI qui en garantit l'exactitude. Le jeu de données est structuré pour couvrir un cycle complet d'une semaine...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (5 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | communeCommune | text | Name of the municipality where the parking is located.Name of the municipality where the parking is located. |
| 100% | nom_parkingNom parking | text | Name of the monitored parking area.Name of the monitored parking area. |
| 100% | jour_semaineJour semaine | text | Day of the week for the occupancy measurement.Day of the week for the occupancy measurement. |
| 100% | heure_journeeHeure journee | int | Hour of the day for the measurement, in 24-hour format.Hour of the day for the measurement, in 24-hour format. |
| 100% | taux_occupation_moyenTaux occupation moyen | double | Average parking occupancy rate, in percent.Average parking occupancy rate, in percent. |
Schema captured from opendatasoft 3 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)
| commune | nom_parking | jour_semaine | heure_journee | taux_occupation_moyen |
|---|---|---|---|---|
| Moissy-Cramayel | Moissy-Cramayel - Parking Gare Moissy | jeudi | 7 | 75 |
| Moissy-Cramayel | Moissy-Cramayel - Parking Gare Moissy | lundi | 6 | 24 |
| Cesson | Cesson - Parking P1 | mercredi | 0 | 16 |
| Le Coudray-Montceaux | Le Coudray-Montceaux - Parking Gare Routière | mardi | 21 | 7 |
| Moissy-Cramayel | Moissy-Cramayel - Parking Gare Moissy | lundi | 3 | 16 |
Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/parkings-gps-taux-d-occupation-des-places-monitorees-avril-2026
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/parkings-gps-taux-d-occupation-des-places-monitorees-avril-2026/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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