
Prince Of Wales Park
Neighbourhood Park, above average overall (score 43, rank ~82th percentile). Strongest: amenity diversity; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Prince Of Wales Park scores 43.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 2.39 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 43 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
Prince Of Wales Park works because its amenity diversity score (50) is one of the city's strongest and its connectivity (59) is also above-average (8 distinct amenity types support different kinds of use).
What limits this park
Prince Of Wales Park is held back by natural comfort (37, below-average): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (50, top decile).
Jacobs reading
Prince Of Wales Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (71) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Neighbourhood Park: 2.4 ha, framed by 7 mid-rise vs 0 towers. Secondary read: Waterfront Park (nearest waterbody within ~0 m).
Edge Activation
Within 100 m of the park edge: 0 active uses (none) 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 3 mapped paths/walkways and 13 sidewalk segments within 50 m; 9 street intersections within 100 m; 7 transit stops within a 400 m walk; 4 estimated access points across ~728 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
8 distinct amenity types in the park (playground, tennis, washroom, bench, drinking_water, ice_rink, …). 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: ~4.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 1.2% water surface; 14 city-mapped trees inside the polygon (5.9/ha). Reading: water-cooled. 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
93 buildings within 25 m of the park edge (7 mid-rise, 86 low-rise, 0 tower); avg edge height 6.2 m (~2 floors); 12.8 buildings per 100 m of 728 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 7 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 (8 types · 23 records)
- playground
- tennis
- washroom
- bench
- drinking water
- ice rink
- picnic
- pool
Nearby active-edge features (21)
- parking lot0 m
- parking lot175 m
- parking lot175 m
- retail: Shell Select178 m
- retail: Keto Cookie Company181 m
- retail: Hi Tech Nails182 m
- retail183 m
- retail: Art Heritage184 m
- parking lot185 m
- retail: Cycle Butik187 m
- parking lot191 m
- restaurant: Maple Leaf House Grill & Lounge196 m
- parking lot196 m
- retail: Pawn Kings Inc197 m
- retail: Bake's Variety197 m
- retail: The Cannabis Superstore197 m
- retail: Basket of Bread197 m
- retail: Vital Planet197 m
- retail: Black Collar Barber Shop198 m
- retail: Petite Amsterdam198 m
- restaurant: Popeyes199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality82th
- Edge activation52th
- Connectivity75th
- Amenity diversity97th
- Natural comfort29th
- Enclosure72th
Most similar parks
Closest in metric space across the five structural dimensions.
- Park Lawn ParkAthletic / Recreation Park41
- Don Russell Memorial ParkCivic Square33
- Agincourt ParkAthletic / Recreation Park33
- Cosburn ParkNeighbourhood Park39
- Stephenson ParkNeighbourhood Park45
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Mclevin Woods ParkRavine / Naturalized Park49
- Trca Lands ( 26)Ravine / Naturalized Park27
- Arnell PlazaCivic Square50
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- 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 Prince Of Wales 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. 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.