BikeSpace Project Data for Toronto Bicycle Parking and Other Sources

This repository holds and runs scripts to provide data used by the BikeSpace project, including a clean and up to date dataset of bicycle parking locations in Toronto and the city bicycle network.

View the Data

The output data for this repository can be viewed in the data branch.

Bicycle Parking Data

The scripts in src/../bicycle_parking download, filter, and transform data from two major sources: City of Toronto Open Data and OpenStreetMap. The goal of the script is to provide a clean and uniform data set of bicycle parking locations in Toronto.

View the bicycle_parking sub-folder for more details.

BikeSpace Parking Map

The data is used for the BikeSpace parking map available at bikespace.ca/parking-map.

Quest Map

In development: bikespace/bikespace#278

• Displays bicycle parking from the City that needs to be surveyed to fill in some gaps in the data.
• Bike Stations data set is address geolocated and could be improved with more precise locations.
• Bicycle Parking - High Capacity (Outdoor) and Bicycle Parking Racks are also address geolocated and could be improved with more precise locations. These two datasets also overlap significantly (and need to be de-duplicated) and have many racks that are out of date, e.g. have been removed or relocated.
• Street Furniture - Bicycle Parking is very high quality but is missing the capacity number for bike racks. It also has some racks that are duplicates of racks in the High Capacity or Racks datasets.

Additional features to be added (to the quest map or the main map):

• Toggle to show individual ring and posts in case that's useful (e.g. for issue reporting)

How to fix:

• Survey the location
• To add/edit details, add or link to a bike parking node in OpenStreetMap.
  • You can link the OpenStreetMap entry to any of the City datasets using the appropriate ref tag.
  • The correct ref tag value should be pre-generated for you if you click on the details in the quest map.
  • The script uses the ref tags to de-duplicate entries for the "display" dataset.
• To remove City bike parking that no longer exists, add an entry in bicycle_parking/city_modifications/open_toronto_ca_exclusions.json in the data branch.
  • There is a template in the bicycle_parking/city_modifications folder to help you.
  • These entries will be removed from the "display" dataset.

Development

You will need uv installed to run the scripts.

Instructions on running the script for each dataset can be found in their respective folders.

Run tests (options are pre-configured in pyproject.toml):

$ uv run pytest -m "not long"

# show print output
$ uv run pytest -s -m "not long"

# all tests, including tests that take a long time to run
$ uv run pytest