
City Wide Open Space
Parkette, one of the city's strongest overall (score 52, rank ~96th percentile). Strongest: edge activation; weakest: amenity diversity.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 52.3 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.19 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.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 52 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
City Wide Open Space works because its edge activation score (39) is in the top tier and its enclosure (84) is also top quartile.
What limits this park
City Wide Open Space doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (39, top decile).
Jacobs reading
City Wide Open Space sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- This park is a strong overperformer for its cohort: raw 52 versus an expected 31 for similar parks (pocket Parkette) (gap +21).
Typology classification
Classified as Parkette: small (1910 m²) with strong building frontage (32.8 per 100 m)
Edge Activation
Within 100 m of the park edge: 10 active uses (transit_stop, retail) and 3 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 6 mapped paths/walkways and 7 sidewalk segments within 50 m; 4 street intersections within 100 m; 7 transit stops within a 400 m walk; 3 estimated access points across ~177 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
1 distinct amenity types in the park (bench). 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: 41.2% estimated tree canopy; 8 city-mapped trees inside the polygon (8.0/ha). Reading: partially shaded. Source coverage: treed_area, 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
58 buildings within 25 m of the park edge (14 mid-rise, 44 low-rise, 0 tower); avg edge height 6.6 m (~2 floors); 32.8 buildings per 100 m of 177 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 14 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 (1 types · 7 records)
- bench
Nearby active-edge features (37)
- transit stop: Dufferin St at Briar Hill Ave22 m
- transit stop: Dufferin St at Briar Hill Ave23 m
- parking lot51 m
- retail: Goodyear56 m
- transit stop: Stayner Avenue65 m
- parking lot65 m
- retail: Unique Cleaners71 m
- retail: Avenue 22 Bridal75 m
- parking lot88 m
- retail: IGO Optical89 m
- retail: Rhonrose Printing and Copy89 m
- retail: Vibagio Hair Studio95 m
- retail: HearingLife95 m
- parking lot103 m
- transit stop: Wingold Avenue121 m
- retail: Century Builders Hardware Ltd.124 m
- parking lot128 m
- parking lot130 m
- cafe: Tim Hortons134 m
- retail: Solo Vape144 m
- retail: Girls Beauty Clinic152 m
- parking lot152 m
- parking lot153 m
- restaurant: Taste of Shawarma154 m
- retail: Star Binz Liquidation154 m
- transit stop: Castlefield Avenue159 m
- parking lot162 m
- restaurant: Toronto Pho167 m
- parking lot168 m
- parking lot168 m
- parking lot172 m
- retail: LF Optical174 m
- retail: Consumers Lighting & Lamps175 m
- parking lot176 m
- parking lot178 m
- parking lot181 m
- parking lot199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality96th
- Edge activation91th
- Connectivity72th
- Amenity diversity53th
- Natural comfort85th
- Enclosure90th
Most similar parks
Closest in metric space across the five structural dimensions.
- Dufferin Hill ParkParkette52
- The Ashbridge EstateParkette51
- Willis Blair ParketteParkette50
- Yorkwoods ParkParkette48
- Avalon ParketteParkette46
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park18
- Trca Lands ( 58)Waterfront Park18
- Rouge ParkRavine / Naturalized Park21
- Paul Coffey ParkOther29
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
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.
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.