Bicycle and Pedestrian Counting SitesSites de comptage vélo et piétons

Sites de comptage vélo et piétonsBicycle and Pedestrian Counting Sites

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This dataset provides supplementary information on bicycle and pedestrian counting sites in the Rennes metropolitan area, published by Rennes Métropole. It describes the locations and characteristics of the Eco-Counter monitoring stations used to record cyclist and pedestrian traffic, complementing the associated counting data. It is intended to support analysis of active mobility patterns within the local area covered by the metropolitan authority.Données complémentaires sur les sites de comptage vélo/piétons à Rennes.

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Trust score

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fair

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Data schema (21 fields)

Filterable via the API (20)

idnamecustomsiteiddomainiddomain0latitudelongitudeusertypetimezoneintervalsensinstallationdatefirstdataphotoscountertypevisiblechannelstagsattributes

Click a field to see example values.

Fill	Field	Type	Description
100%	id	text	Unique identifier of the counting site.Unique identifier of the counting site.
100%	name	text	Name of the bike/pedestrian counting site.Name of the bike/pedestrian counting site.
1.5%	customsiteid	text	Custom or external identifier for the site, if any.Custom or external identifier for the site, if any.
100%	domainid	int	Identifier of the domain/organization managing the site.Identifier of the domain/organization managing the site.
100%	domain0domain	text	Name of the domain or managing authority, e.g. Rennes Métropole.Name of the domain or managing authority, e.g. Rennes Métropole.
100%	latitudeLatitude	double	Latitude coordinate of the counting site.Latitude coordinate of the counting site.
100%	longitudeLongitude	double	Longitude coordinate of the counting site.Longitude coordinate of the counting site.
100%	usertype	int	Code indicating the type of user counted (e.g. cyclist, pedestrian).Code indicating the type of user counted (e.g. cyclist, pedestrian).
100%	timezone	text	Time zone applicable to the site's recorded data.Time zone applicable to the site's recorded data.
100%	interval	int	Time interval in minutes between counting measurements.Time interval in minutes between counting measurements.
100%	sens	int	Code indicating the direction(s) of counting at the site.Code indicating the direction(s) of counting at the site.
94.1%	installationdate	text	Date and time the counting equipment was installed.Date and time the counting equipment was installed.
94.1%	firstdata	text	Date and time of the first available count data.Date and time of the first available count data.
72.1%	photos	text	URL(s) of photos of the counting site.URL(s) of photos of the counting site.
26.5%	counter	text	Identifier or reference of the counting device used.Identifier or reference of the counting device used.
100%	type	text	Type of site record, e.g. real or virtual.Type of site record, e.g. real or virtual.
100%	visible	int	Flag indicating whether the site is publicly visible.Flag indicating whether the site is publicly visible.
26.5%	channels	text	JSON list of measurement channels associated with the site.JSON list of measurement channels associated with the site.
11.8%	tags	text	Tags or labels associated with the site.Tags or labels associated with the site.
0%	attributes	text	Additional attributes or metadata about the site.Additional attributes or metadata about the site.
—	geoTerritory	geo_point_2d	Geographic point location of the counting site.Geographic point location of the counting site.

Schema captured from opendatasoft 2 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 1id: 100060855 · geo: {"lat":48.1085855456331,"lon":-1.6782789

{
  "id": "100060855",
  "geo": {
    "lat": 48.1085855456331,
    "lon": -1.678278913704474
  },
  "name": "Vasselot Juin 2020",
  "sens": 5,
  "tags": null,
  "type": "real",
  "photos": null,
  "counter": null,
  "domain0": "Rennes Métropole",
  "visible": 1,
  "channels": "[{\"id\": 101060855, \"name\": \"Vasselot Juin 2020 IN va vers l'est\", \"customSiteId\": null, \"domainId\": 7113, \"domain\": \"Rennes Métropole\", \"latitude\": 48.1085855456331, \"longitude\": -1.678278913704474, \"userType\": 1, \"timezone\": \"(UTC+01:00) Europe/Paris;DST\", \"interval\": 15, \"sens\": 1, \"installationDate\": \"2020-05-29T00:00:00+0200\", \"firstData\": \"2020-05-29T00:00:00+0200\", \"photos\": null, \"counter\": null, \"type\": \"real\", \"visible\": null, \"channels\": null, \"tags\": null, \"attributes\": null}, {\"id\": …",
  "domainid": 7113,
  "interval": 15,
  "latitude": 48.1085855456331,
  "timezone": "(UTC+01:00) Europe/Paris;DST",
  "usertype": 1,
  "firstdata": "2020-05-29T00:00:00+0200",
  "longitude": -1.678278913704474,
  "attributes": null,
  "customsiteid": null,
  "installationdate": "2020-05-29T00:00:00+0200"
}

Record 2id: 100057764 · geo: {"lat":48.123710956658925,"lon":-1.69546

{
  "id": "100057764",
  "geo": {
    "lat": 48.123710956658925,
    "lon": -1.6954662189287941
  },
  "name": "Allée Bertrand (Métro Pontchaillou)",
  "sens": 5,
  "tags": null,
  "type": "real",
  "photos": "https://filer.eco-counter-tools.com/file/ed/11585fc36371d51a0effebaf9e47ea88c982de2816ddef27599d52be463186ed/15785876217410.jpg",
  "counter": null,
  "domain0": "Rennes Métropole",
  "visible": 1,
  "channels": "[{\"id\": 101057764, \"name\": \"Allée Bertrand (Métro Pontchaillou) Piétons IN va vers le sud\", \"customSiteId\": null, \"domainId\": 7113, \"domain\": \"Rennes Métropole\", \"latitude\": 48.123710956658925, \"longitude\": -1.6954662189287941, \"userType\": 1, \"timezone\": \"(UTC+01:00) Europe/Paris;DST\", \"interval\": 15, \"sens\": 1, \"installationDate\": \"2020-01-09T03:45:00+0100\", \"firstData\": \"2020-01-09T03:45:00+0100\", \"photos\": null, \"counter\": null, \"type\": \"real\", \"visible\": null, \"channels\": null, \"tags\": null,…",
  "domainid": 7113,
  "interval": 15,
  "latitude": 48.123710956658925,
  "timezone": "(UTC+01:00) Europe/Paris;DST",
  "usertype": 1,
  "firstdata": "2020-01-09T03:45:00+0100",
  "longitude": -1.6954662189287941,
  "attributes": null,
  "customsiteid": null,
  "installationdate": "2020-01-09T03:45:00+0100"
}

Record 3id: 300069437 · geo: {"lat":48.04330988093919,"lon":-1.668937

{
  "id": "300069437",
  "geo": {
    "lat": 48.04330988093919,
    "lon": -1.6689375042915344
  },
  "name": "Noyal_entree_REV",
  "sens": 5,
  "tags": null,
  "type": "real",
  "photos": null,
  "counter": "YSH19101293",
  "domain0": "Rennes Métropole",
  "visible": 0,
  "channels": "[{\"id\": 353744349, \"name\": \"Vers Rennes\", \"customSiteId\": null, \"domainId\": 7113, \"domain\": \"Rennes Métropole\", \"latitude\": 48.04330988093919, \"longitude\": -1.6689375042915344, \"userType\": 1, \"timezone\": \"(UTC+01:00) Europe/Paris;DST\", \"interval\": 0, \"sens\": 2, \"installationDate\": null, \"firstData\": null, \"photos\": null, \"counter\": \"YSH19101293\", \"type\": \"real\", \"visible\": null, \"channels\": null, \"tags\": null, \"attributes\": null}, {\"id\": 353744351, \"name\": \"Vers Noyal\", \"customSiteId\": null, \"do…",
  "domainid": 7113,
  "interval": 0,
  "latitude": 48.04330988093919,
  "timezone": "(UTC+01:00) Europe/Paris;DST",
  "usertype": 1,
  "firstdata": null,
  "longitude": -1.6689375042915344,
  "attributes": null,
  "customsiteid": null,
  "installationdate": null
}

Record 4id: 300052012 · geo: {"lat":48.091371401821874,"lon":-1.70136

{
  "id": "300052012",
  "geo": {
    "lat": 48.091371401821874,
    "lon": -1.7013680934906008
  },
  "name": "Passerelle Courrouze escaliers",
  "sens": 5,
  "tags": null,
  "type": "real",
  "photos": null,
  "counter": null,
  "domain0": "Rennes Métropole",
  "visible": 0,
  "channels": "[{\"id\": 353537390, \"name\": \"Passerelle Courrouze escaliers Piétons IN va vers l'est\", \"customSiteId\": null, \"domainId\": 7113, \"domain\": \"Rennes Métropole\", \"latitude\": 48.091371401821874, \"longitude\": -1.7013680934906008, \"userType\": 1, \"timezone\": \"(UTC+01:00) Europe/Paris;DST\", \"interval\": 15, \"sens\": 1, \"installationDate\": \"2025-05-06T16:30:00+0200\", \"firstData\": \"2025-05-06T16:30:00+0200\", \"photos\": null, \"counter\": null, \"type\": \"real\", \"visible\": null, \"channels\": null, \"tags\": null, \"attr…",
  "domainid": 7113,
  "interval": 15,
  "latitude": 48.091371401821874,
  "timezone": "(UTC+01:00) Europe/Paris;DST",
  "usertype": 1,
  "firstdata": "2025-05-06T16:30:00+0200",
  "longitude": -1.7013680934906008,
  "attributes": null,
  "customsiteid": null,
  "installationdate": "2025-05-06T16:30:00+0200"
}

Record 5id: 300017306 · geo: {"lat":48.09748368641801,"lon":-1.674001

{
  "id": "300017306",
  "geo": {
    "lat": 48.09748368641801,
    "lon": -1.6740018429587413
  },
  "name": "J. Cartier Côté Alma",
  "sens": 5,
  "tags": null,
  "type": "real",
  "photos": null,
  "counter": null,
  "domain0": "Rennes Métropole",
  "visible": 1,
  "channels": "[{\"id\": 353266011, \"name\": \"J. Cartier Côté Alma Piétons IN va vers l'ouest\", \"customSiteId\": null, \"domainId\": 7113, \"domain\": \"Rennes Métropole\", \"latitude\": 48.09748368641801, \"longitude\": -1.6740018429587413, \"userType\": 1, \"timezone\": \"(UTC+01:00) Europe/Paris;DST\", \"interval\": 15, \"sens\": 1, \"installationDate\": \"2021-05-13T00:00:00+0200\", \"firstData\": \"2021-05-13T00:00:00+0200\", \"photos\": null, \"counter\": null, \"type\": \"real\", \"visible\": null, \"channels\": null, \"tags\": null, \"attributes\": …",
  "domainid": 7113,
  "interval": 15,
  "latitude": 48.09748368641801,
  "timezone": "(UTC+01:00) Europe/Paris;DST",
  "usertype": 1,
  "firstdata": "2021-05-13T00:00:00+0200",
  "longitude": -1.6740018429587413,
  "attributes": null,
  "customsiteid": null,
  "installationdate": "2021-05-13T00:00:00+0200"
}

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/eco-counter-sites

License

Open Data Commons Open Database License 1.0Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/eco-counter-sites/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 2 days ago

Dataset

Volume & freshness

Records

Last upstream update

4 months ago

2026-06-30

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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