
Clairlea Park
Neighbourhood Park, above average overall (score 39, rank ~72th percentile). Strongest: connectivity; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Clairlea Park scores 39.3 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 4.72 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 39 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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- Connectivity (73) significantly outpaces natural comfort (44) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (64) but the surrounding streets are quiet (edge activation 0) — frame without animation.
Typology classification
Classified as Neighbourhood Park: 4.7 ha, framed by 3 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 5 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 11 mapped paths/walkways and 37 sidewalk segments within 50 m; 12 street intersections within 100 m; 21 transit stops within a 400 m walk; 10 estimated access points across ~1,363 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
2 distinct amenity types in the park (playground, tennis). 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: ~8.0% effective canopy (0.6% from contiguous tree polygons + scattered tree density); nearest waterbody ~362 m; 54 city-mapped trees inside the polygon (11.4/ha). Reading: exposed. Source coverage: treed_area, 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
218 buildings within 25 m of the park edge (3 mid-rise, 215 low-rise, 0 tower); avg edge height 4.8 m (~2 floors); 16.0 buildings per 100 m of 1,363 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 3 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. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they 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 (2 types · 2 records)
- playground
- tennis
Nearby active-edge features (17)
- parking lot0 m
- parking lot21 m
- parking lot63 m
- parking lot81 m
- parking lot86 m
- parking lot114 m
- parking lot132 m
- parking lot149 m
- parking lot158 m
- transit stop173 m
- parking lot177 m
- parking lot180 m
- parking lot183 m
- parking lot189 m
- parking lot190 m
- transit stop — Stamford Square South192 m
- parking lot198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality72th
- Edge activation41th
- Connectivity93th
- Amenity diversity89th
- Natural comfort46th
- Enclosure52th
Most similar parks
Closest in metric space across the five structural dimensions.
- Chartwell ParkNeighbourhood Park40
- Wickson Trail ParkNeighbourhood Park31
- Horseley Hill ParkNeighbourhood Park43
- Laughlin ParkUrban Plaza42
- Buttonwood ParkNeighbourhood Park36
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Joseph Burr Tyrrell ParkUrban Plaza50
- Simcoe ParkTower-Community Green Space51
- Market Lane ParkUrban Plaza63
- Manor Community GreenUrban Plaza57
- Ryerson Community ParkUrban Plaza60
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 Clairlea 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.
Data sources
- City of Toronto Open Data — Parks (Green Space)Polygon boundaries, official names, types.
- 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.