
City Wide Open Space
Urban Plaza, in the top tier overall (score 47, rank ~90th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 47.1 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.43 ha
What's here
Weighted across six dimensions · confidence 63%
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 47 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 enclosure score (81) is in the top tier and its edge activation (25) is also top quartile (6 mid-rise buildings frame the edge with passive surveillance).
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 enclosure (81, top quartile).
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
- A modest overperformer for its urban plaza typology (+6 vs the median in small Urban Plaza).
Typology classification
Classified as Urban Plaza: 4336 m², paved (0% canopy), 27.6 buildings/100 m
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop, retail, school) and 1 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 9 sidewalk segments within 50 m; 10 street intersections within 100 m; 9 transit stops within a 400 m walk; 1 estimated access points across ~276 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
2 distinct amenity types in the park (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 requires inputs not yet loaded for this park (Treed Area / Ravine / Waterbodies / Street Trees). Score is held at a neutral 50 with low confidence. Read with caution.
Source: Treed Area / Ravine / Waterbodies / Street Trees
Enclosure / Eyes on Park
76 buildings within 25 m of the park edge (6 mid-rise, 70 low-rise, 0 tower); avg edge height 7.5 m (~3 floors); 27.6 buildings per 100 m of 276 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. 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 (2 types · 3 records)
- sports field
- track
Nearby active-edge features (14)
- parking lot35 m
- school: Delta Senior Alternative School43 m
- transit stop: Grace Street92 m
- retail: Rebecca Gallery100 m
- transit stop: Grace Street114 m
- retail: Glassbox Barbershop116 m
- retail121 m
- retail: Extraordinary Things133 m
- retail: The Laundry Room138 m
- retail: V.I.P Tailor & Dry Cleaner147 m
- transit stop: Crawford Street177 m
- cafe: Olivia's Garden Cafe181 m
- transit stop: Crawford Street188 m
- retail: The Bike Clinic193 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality90th
- Edge activation85th
- Connectivity78th
- Amenity diversity72th
- Natural comfort57th
- Enclosure85th
Most similar parks
Closest in metric space across the five structural dimensions.
- Robert Bateman ParketteRavine / Naturalized Park48
- Primrose Avenue ParketteUrban Plaza45
- Nightstar ParkUrban Plaza48
- Harold Town ParkUrban Plaza48
- Geary Avenue ParketteParkette39
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park21
- Rouge ParkRavine / Naturalized Park28
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.