City Wide Open Space
Parkette, near the bottom of the city overall (score 21, rank ~4th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 21.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.51 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 21 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 (53) significantly outpaces natural comfort (24) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (73) but the surrounding streets are quiet (edge activation 0) — frame without animation.
Performance in context
- Strong underperformer relative to its cohort — raw 21 vs an expected 36 (gap -15).
Typology classification
Classified as Parkette: small (5075 m²) with strong building frontage (3.2 per 100 m)
Edge Activation
Within 100 m of the park edge: 4 active uses (transit_stop) and 11 dead/hostile uses (highway, 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 14 sidewalk segments within 50 m; 7 street intersections within 100 m; 9 transit stops within a 400 m walk; 0 estimated access points across ~284 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~773 m. Reading: exposed. Source coverage: waterbodies. 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
9 buildings within 25 m of the park edge (6 mid-rise, 1 low-rise, 2 tower); avg edge height 20.2 m (~7 floors); 3.2 buildings per 100 m of 284 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 2 towers ≥ 40 m within 25 m of the edge. "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: Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East, Kingston Road, Kingston Road, Kingston Road, Eglinton Avenue East, Eglinton Avenue East. 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 (0)
No amenities recorded for this park.
Nearby active-edge features (33)
- transit stop — Eglinton Ave at Kingston Rd0 m
- highway — Eglinton Avenue East10 m
- highway — Kingston Road12 m
- highway — Eglinton Avenue East15 m
- highway — Eglinton Avenue East17 m
- transit stop — Kingston Road24 m
- highway — Eglinton Avenue East25 m
- highway — Eglinton Avenue East34 m
- highway — Kingston Road40 m
- highway — Kingston Road48 m
- transit stop — Eglinton Avenue East51 m
- highway — Eglinton Avenue East56 m
- parking lot80 m
- parking lot82 m
- transit stop — Muir Drive87 m
- parking lot103 m
- parking lot108 m
- highway — Kingston Road114 m
- highway — Kingston Road122 m
- highway — Eglinton Avenue East140 m
- highway — Eglinton Avenue East149 m
- parking lot150 m
- highway — Kingston Road152 m
- retail — Dollarama156 m
- highway — Kingston Road162 m
- parking lot164 m
- transit stop — Scarborough Golf Club Road164 m
- parking lot179 m
- retail — Super Discount Store179 m
- transit stop — Scarborough Golf Club Road180 m
- retail — Freedom Mobile187 m
- highway — Kingston Road189 m
- parking lot193 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality4th
- Edge activation51th
- Connectivity60th
- Amenity diversity57th
- Natural comfort5th
- Enclosure73th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceParkette26
- City Wide Open SpaceUrban Plaza27
- Willowdale CemeteryUrban Plaza24
- Drumsnab ParketteParkette25
- Father Caulfield ParkUrban Plaza31
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park71
- Leslie Grove ParkParkette68
- Toronto ZooWaterfront Park57
- Mclevin Woods ParkRavine / Naturalized Park49
- Market Lane ParkUrban Plaza63
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 City Wide Open Spacematters. 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.
- 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.