
PARKDALE COMMUNITY RECREATION CENTRE - Building Grounds
Neighbourhood Park, above average overall (score 43, rank ~84th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by Franco Carmona via Google Places · cached 5/9/2026
PARKDALE COMMUNITY RECREATION CENTRE - Building Grounds scores 42.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 1.38 ha
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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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
PARKDALE COMMUNITY RECREATION CENTRE - Building Grounds works because its enclosure score (93) is one of the city's strongest and its edge activation (22) is also top quartile (26 mid-rise buildings frame the edge with passive surveillance).
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (93, top decile).
Jacobs reading
PARKDALE COMMUNITY RECREATION CENTRE - Building Grounds 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 (93) but the surrounding streets are quiet (edge activation 22): frame without animation.
Performance in context
- A modest overperformer for its neighbourhood park typology (+5 vs the median in medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 1.4 ha, framed by 26 mid-rise vs 3 towers
Edge Activation
Within 100 m of the park edge: 5 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 0 mapped paths/walkways and 12 sidewalk segments within 50 m; 11 street intersections within 100 m; 19 transit stops within a 400 m walk; 0 estimated access points across ~502 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 (community_centre). 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: ~11.6% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1025 m; 23 city-mapped trees inside the polygon (16.6/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
132 buildings within 25 m of the park edge (26 mid-rise, 103 low-rise, 3 tower); avg edge height 9.4 m (~3 floors); 26.3 buildings per 100 m of 502 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 26 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. 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 (1 types · 1 records)
- community centre
Nearby active-edge features (20)
- transit stop: Opposite 104 Lansdowne Avenue1 m
- transit stop: Lansdowne Avenue4 m
- parking lot9 m
- transit stop: 106 Lansdowne Avenue18 m
- transit stop: Seaforth Avenue18 m
- retail: Parkdale Cleaners20 m
- parking lot48 m
- parking lot91 m
- parking lot107 m
- parking lot111 m
- transit stop: May Robinson Apartments119 m
- parking lot120 m
- transit stop: Seaforth Avenue121 m
- retail: West Lodge Tuck Stop139 m
- parking lot166 m
- parking lot170 m
- rail: Galt Subdivision178 m
- rail: Weston Subdivision184 m
- rail: Weston Subdivision192 m
- parking lot192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality84th
- Edge activation78th
- Connectivity67th
- Amenity diversity70th
- Natural comfort48th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- REGENT PARK COMMUNITY CENTRE - Building GroundsUrban Plaza43
- Jeff Sloan PlaygroundUrban Plaza44
- Melbourne Avenue ParketteUrban Plaza42
- Taddle Creek ParkRavine / Naturalized Park43
- Primrose Avenue ParketteUrban Plaza42
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 Park28
- Rouge ParkRavine / Naturalized Park21
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p27 citywide · p30 within Neighbourhood Park
Source: Google Places API · match medium (0.78 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 PARKDALE COMMUNITY RECREATION CENTRE - 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.
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.