
Caledonia Park
Neighbourhood Park, middle of the pack overall (score 36, rank ~56th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Caledonia Park scores 35.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (60). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 11.53 ha
What's here
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 36 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.
Why this park works
Caledonia Park works because its amenity diversity score (39) is in the top tier and its connectivity (55) is also above-average.
What limits this park
Caledonia Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (60).
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (39, top decile).
Jacobs reading
Caledonia Park is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Performance in context
- Citywide rank is high (56th) but typology rank is more modest (31st): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Neighbourhood Park: 11.5 ha, framed by 2 mid-rise vs 0 towers. Secondary read: Destination Park (12 ha, 5 amenity types, connectivity 55 / comfort 49).
Edge Activation
Within 100 m of the park edge: 13 active uses (transit_stop, retail) and 10 dead/hostile uses (parking_lot). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 18 sidewalk segments within 50 m; 8 street intersections within 100 m; 17 transit stops within a 400 m walk; 0 estimated access points across ~1,369 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
5 distinct amenity types in the park (sports_field, washroom, bench, picnic, volleyball). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 7.9% estimated tree canopy; 8.7% inside the ravine system; nearest waterbody ~655 m; 24 city-mapped trees inside the polygon (2.1/ha). Reading: exposed. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
48 buildings within 25 m of the park edge (2 mid-rise, 46 low-rise, 0 tower); avg edge height 5.7 m (~2 floors); 3.5 buildings per 100 m of 1,369 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, parking_lot, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" that suppress foot traffic and isolate the park from its neighbourhood.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence. Read with caution.
Source: Toronto Neighbourhood Profiles
Amenities (5 types · 12 records)
- sports field
- washroom
- bench
- picnic
- volleyball
Nearby active-edge features (38)
- transit stop: Sage Avenue0 m
- parking lot0 m
- parking lot0 m
- transit stop: Lawrence Avenue West7 m
- transit stop: Sage Avenue23 m
- transit stop: Lawrence Avenue West26 m
- transit stop: Caledonia Road26 m
- retail: Designs by Daniel30 m
- retail: M2 Beauty Studio40 m
- parking lot43 m
- retail: Sherwin-Williams45 m
- parking lot48 m
- parking lot49 m
- retail: Habitat for Humanity ReStore50 m
- parking lot51 m
- retail: VTech Automotive Inc.56 m
- parking lot57 m
- parking lot63 m
- retail: CKC Barber Shop65 m
- parking lot65 m
- transit stop: Caledonia Road66 m
- transit stop: Leswyn Road78 m
- parking lot86 m
- parking lot100 m
- transit stop: Leswyn Road108 m
- parking lot122 m
- retail: A1 Cash & Carry123 m
- transit stop: Dufflaw Road128 m
- parking lot128 m
- parking lot133 m
- transit stop: Dufflaw Road149 m
- parking lot150 m
- retail: Barrymore Furniture Gallaries156 m
- parking lot158 m
- parking lot176 m
- parking lot181 m
- retail: Imperial Carpet & Home Inc.182 m
- parking lot185 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality56th
- Edge activation27th
- Connectivity69th
- Amenity diversity90th
- Natural comfort55th
- Enclosure28th
Most similar parks
Closest in metric space across the five structural dimensions.
- Iroquois ParkNeighbourhood Park41
- Corktown CommonCivic Square41
- Fenside ParkAthletic / Recreation Park42
- Dunlop ParkNeighbourhood Park41
- Wexford ParkRavine / Naturalized Park42
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Arnell PlazaCivic Square50
- Market Lane ParkUrban Plaza67
- Ryerson Community ParkUrban Plaza62
- Leslie Grove ParkParkette73
Human activity signals: not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
Does this score feel accurate?
Your read of Caledonia Parkmatters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.
Tell us how this park feels
We measure structure (canopy, edges, connectivity). You measure feeling. Both matter, and disagreement is itself useful civic data.
What would improve this park?
Generated from the weakest measured dimensions: a starting point, not a prescription.
- Activate the edges: encourage cafés, retail or community uses on the streets that face the park; replace blank or parking-lot edges where possible.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
Data sources
- City of Toronto Open Data: Parks (Green Space)Polygon boundaries, official names, types. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- Parks & Recreation FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.