Methodology
How we score neighbourhoods and commercial corridors. Data sources, methods, granularity.
Data sources
- OpenStreetMap: Streets, amenities, transit, parks
- Statistics Canada: Census, income, education, age bands
- Transit APIs: TTC ridership, stops, headway
- Event feeds: Concerts, markets, pop-ups
- Business registries: Licensed businesses by category and radius
- Movement and footfall: Pedestrian volume, parking, occupancy (daily to weekly)
Foot traffic
Movement, transit, and events aggregated at block and corridor level. Updated daily or as events occur. All data aggregated and anonymized.
Demographics
Statistics Canada census (2021) by tract. Median income, age, household composition, education. Supplemented with business and event signals.
Infrastructure and geospatial data
- Parking lots: OSM and geospatial imagery
- Access and connectivity: Imagery and street data
- Demand forecasting: Demographics, traffic, events, transit. Peak demand and parking stress by hour and season. (Coming soon)
Granularity
- Neighbourhood: 140+ Toronto areas
- Corridor: Major streets (King West, Queen West)
- Block: Street segments for site selection
- Radius: Custom (e.g. 500m)
Geographic scope
Toronto and GTA. 140+ neighbourhoods, 15+ dimensions each. More cities planned.
Questions
For methodology questions or data partnerships, contact aidan@aim-platform.com.