
STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Grounds
Athletic / Recreation Park, middle of the pack overall (score 32, rank ~39th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Grounds scores 32 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (84). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 10.13 ha
What's here
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 32 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
STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Grounds works because its connectivity score (65) is above average and its amenity diversity (28) is also top quartile (12 transit stops sit within a 400 m walk; 10 intersections fall within 100 m of the edge).
What limits this park
STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Grounds is held back by natural comfort (35, bottom quartile): only 0% canopy means little summer shade; border-vacuum risk is also elevated (84).
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (65, top quartile).
Jacobs reading
STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Grounds sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (65) significantly outpaces natural comfort (35): well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (66) but the surrounding streets are quiet (edge activation 0): frame without animation.
- High connectivity coexists with high border-vacuum risk (84): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Athletic / Recreation Park: 67% of amenity types are athletic (sports_field, track). Secondary read: Neighbourhood Park (10.1 ha, framed by 6 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 7 active uses (community, transit_stop, retail) and 12 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 2 mapped paths/walkways and 38 sidewalk segments within 50 m; 10 street intersections within 100 m; 12 transit stops within a 400 m walk; 4 estimated access points across ~1,350 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
3 distinct amenity types in the park (playground, sports_field, track). 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: 0.0% estimated tree canopy; nearest waterbody ~341 m; 10 city-mapped trees inside the polygon (1.0/ha). Reading: exposed. Source coverage: 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
82 buildings within 25 m of the park edge (6 mid-rise, 76 low-rise, 0 tower); avg edge height 7.2 m (~2 floors); 6.1 buildings per 100 m of 1,350 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 6 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, 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 (3 types · 7 records)
- playground
- sports field
- track
Nearby active-edge features (27)
- parking lot0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- transit stop: Birchmount Road at Bay Mills Boulevard0 m
- transit stop: 2450 Birchmount Road (Stephen Leacock Collegiate)1 m
- parking lot26 m
- community26 m
- parking lot29 m
- transit stop: 2481 Birchmount Road40 m
- parking lot40 m
- transit stop: Birchmount Road at Bonis Avenue49 m
- community: Stephen Leacock Community Centre61 m
- parking lot63 m
- parking lot69 m
- parking lot71 m
- retail: Daisy Mart75 m
- parking lot77 m
- parking lot96 m
- parking lot120 m
- parking lot146 m
- parking lot149 m
- parking lot169 m
- parking lot180 m
- parking lot184 m
- parking lot197 m
- parking lot200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality39th
- Edge activation28th
- Connectivity83th
- Amenity diversity81th
- Natural comfort20th
- Enclosure64th
Most similar parks
Closest in metric space across the five structural dimensions.
- Humber Bay Promenade ParkCorridor / Linear Park30
- Olympic ParkParkette31
- Corvette ParkNeighbourhood Park36
- Eden Valley ParkRavine / Naturalized Park41
- Richview ParkNeighbourhood Park29
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Trca Lands ( 26)Ravine / Naturalized Park27
- Mclevin Woods ParkRavine / Naturalized Park49
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Market Lane ParkUrban Plaza67
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 STEPHEN LEACOCK COLLEGIATE INSTITUTE - Building Groundsmatters. 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.