Bicycle Parking Data - Indoor
URL: https://ckan0.cf.opendata.inter.prod-toronto.ca/datastore/dump/3d4fc673-8cdb-44b9-bf3c-d8e8ac888535
Dataset description:
This dataset contains the locations of all the indoor bike station facilities located in the City of Toronto. This data set may not be representative of the whole City of Toronto. There...
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
ADDRESS_POINT_ID | float8 | ||
ADDRESS_NUMBER | text | ||
LINEAR_NAME_FULL | text | ||
ADDRESS_FULL | text | ||
POSTAL_CODE | text | ||
MUNICIPALITY | text | ||
CITY | text | ||
WARD_NAME | text | ||
PLACE_NAME | text | ||
GENERAL_USE_CODE | int4 | ||
CENTRELINE_ID | int4 | ||
LO_NUM | int4 | ||
LO_NUM_SUF | text | ||
HI_NUM | int4 | ||
HI_NUM_SUF | text | ||
LINEAR_NAME_ID | float8 | ||
MI_PRINX | int4 | ||
OBJECTID | text | ||
ID | int4 | ||
STATION_TYPE | text | ||
TRANSIT_STATION | text | ||
FLANKING | text | ||
BIKE_CAPACITY | int4 | ||
CHANGE_ROOM | text | ||
VENDING_MACHINE | text | ||
TOOLS_PUMP | text | ||
YR_INSTALL | int4 | ||
geometry | text |
Additional Information
Field | Value |
---|---|
Data last updated | June 7, 2022 |
Metadata last updated | March 27, 2025 |
Created | June 7, 2022 |
Format | GeoJSON |
License | License not specified |
Datastore active | True |
Datastore cache | {'CSV': {'4326': '53caa383-5515-4b01-81aa-cfdced622548', '2952': '0f4799bf-e8ec-4b60-b0e0-2f63c883a348'}, 'SHP': {'4326': '9368e16f-fb02-4b1e-b48a-a11f4ad6d32c', '2952': '1a1592c9-556e-4b5c-991c-33d5c51d20a3'}, 'GPKG': {'4326': '35a14665-5f7d-4baf-ad0f-9bd6df9f9746', '2952': 'cf3a3882-33db-4be7-8618-068a339a447a'}, 'GEOJSON': {'4326': 'c7829eee-131c-430d-a8de-a0b509b6d8f2'}} |
Datastore cache last update | 1 month ago |
Extract job | Airflow - files_to_datastore.py - bicycle-parking-bike-stations-indoor |
Has views | True |
Id | 3d4fc673-8cdb-44b9-bf3c-d8e8ac888535 |
Is preview | True |
Package id | 8e780459-17cc-49c4-a5f0-89dc5bfe8e77 |
Package name or id | bicycle-parking-bike-stations-indoor |
Position | 0 |
State | active |
Url type | datastore |
Extract Job | Airflow - files_to_datastore.py - bicycle-parking-bike-stations-indoor |
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