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BIRKDALE COMMUNITY CENTRE - Building Grounds, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (enclosure-leaning)Bendale-Glen Andrew

BIRKDALE COMMUNITY CENTRE - Building Grounds

Ravine / Naturalized Park, middle of the pack overall (score 31, rank ~33th percentile). Strongest: amenity diversity; weakest: enclosure.

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Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026

Data updated

BIRKDALE COMMUNITY CENTRE - Building Grounds scores 30.6 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forescape into nature

Area · 1.44 ha

What's here

Recreation
Playground
Facilities
WashroomBenchesCommunity centre

Getting around

Paths

40 m of mapped path. Too little surface tagging to say how much is paved.

Too little path mapped to check for steps.

Seating

Not enough mapped seating to assess (3 benches mapped).

Arrival

Parking inside the park. None of the 20 nearby lots records whether it has accessible spaces.

Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.

Vitality Score
31/100

Weighted across six dimensions · confidence 68%

Data Confidence
30.6 / 100

Data confidence: moderate

Citywide
33rd
of all 3,753 parks
Among Ravine / Naturalized Park
32nd
same primary typology
Expected for similar parks
36
median in medium Ravine / Naturalized Park ravine (n=229)
Performance gap
-6
raw − expected · context confidence high
modest underperformer

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Loading map…

The parks map is loading.
Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Grounds of a City building, not a designated park. It is left out of park rankings.

Explain this score

Where did the 31 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.

Download JSON
What pushed this score up or down vs a neutral 50weight × score
Edge Activation0 · p62
-12.5
Border Vacuum Risk100 (risk)
-5.0
Amenity Diversity35 · p88
-3.1
Natural Comfort58 · p75
+1.2
Connectivity45 · p50
-1.0
Enclosure / Eyes on Park60 · p41
+1.0

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

BIRKDALE COMMUNITY CENTRE - Building Grounds works because its amenity diversity score (35) is in the top tier and its natural comfort (58) is also above-average.

What limits this park

BIRKDALE COMMUNITY CENTRE - Building Grounds's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 100.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (35, top quartile).

Jacobs reading

BIRKDALE COMMUNITY CENTRE - Building Grounds is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

Performance in context

  • Reads as a modest underperformer relative to comparable parks (gap -6; cohort: medium Ravine / Naturalized Park ravine).

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Neighbourhood Park

Classified as Ravine / Naturalized Park: 51% ravine overlap, 0% canopy. Secondary read: Neighbourhood Park (1.4 ha, framed by 1 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 5 active uses (community, transit_stop, retail, school) and 13 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
44.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 6 sidewalk segments within 50 m; 4 street intersections within 100 m; 6 bus stops within a 400 m walk; 1 estimated access points across ~513 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m3
Intersections within 100 m4
Paths/walkways (50 m)2
Sidewalk segments (50 m)6
Transit stops (400 m)6 (0 subway/GO, 0 streetcar/LRT, 6 bus)
Estimated entrances1
Edge connections / 100 m perimeter0.58
Park perimeter513 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightmeasured 75%
34.5 / 100

4 distinct amenity types in the park (community_centre, bench, playground, washroom). Diversity 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. All data sources.

Natural Comfort

15% weightpartial 45%
58.2 / 100

Natural-comfort components for this park: ~3.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 51.0% inside the ravine system; nearest waterbody ~47 m; 7 city-mapped trees inside the polygon (4.9/ha). Reading: ravine-cooled. Source coverage: ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system51.0%
Water surface inside park0.0%
Nearest water (if outside park)47 m
Estimated green100.0%
City-mapped trees inside polygon7
Tree density4.9 / ha
Cover diversity (Shannon, 0 to 100)100.0
Sample points used100

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%
59.9 / 100

42 buildings within 25 m of the park edge (1 mid-rise, 41 low-rise, 0 tower); avg edge height 4.6 m (~2 floors); 8.2 buildings per 100 m of 513 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.

Buildings within 25 m42
Buildings within 50 m42
Avg edge height4.6 m (~2 floors)
Tallest edge building9.9 m
Mid-rise (3 to 7 floors)1
Low-rise (< 3 floors)41
Towers (≥ 13 floors)0
Frontage density8.19 per 100 m perimeter
Mid-rise share of edge2%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter513 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, 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: OpenStreetMap: highways, rail, parking. All data sources.

Equity Context

contextinferred 15%
50.0 / 100

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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.

Amenities (4 types · 7 records)

  • community centre
  • bench
  • playground
  • washroom

Nearby active-edge features (34)

  • community: Birkdale Community Centre0 m
  • transit stop0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot0 m
  • parking lot25 m
  • transit stop34 m
  • parking lot41 m
  • parking lot51 m
  • retail: Star Auto Tech Inc.59 m
  • parking lot60 m
  • parking lot76 m
  • school: Institute of Technical Trades78 m
  • parking lot102 m
  • parking lot121 m
  • restaurant: Geetham Veg141 m
  • retail: Koi Store148 m
  • parking lot151 m
  • restaurant: Papa John's151 m
  • retail: Neighbours155 m
  • parking lot158 m
  • parking lot161 m
  • parking lot167 m
  • transit stop: Ellesmere Rd at Brimley Rd171 m
  • retail: Paradise Print173 m
  • restaurant: Mob Lounge178 m
  • parking lot180 m
  • retail: Asian Salon184 m
  • transit stop: Brimley Rd at Ellesmere Road196 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureBIRKDALE COMMUNITY CENTRE - Building Grounds
Edge activation, connectivity, amenity diversity, natural comfort, and enclosure, each 0 to 100.

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    33th
  • Edge activation
    62th
  • Connectivity
    50th
  • Amenity diversity
    88th
  • Natural comfort
    75th
  • Enclosure
    41th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

Furthest in metric space. Useful for recognising what kind of park this isn’t.

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 BIRKDALE COMMUNITY CENTRE - Building Grounds matters. 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.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all, 5 = strongly. Skip the ones you don't feel sure about. Aggregated only, no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important
70%

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.
  • Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
  • Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
  • 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

real Toronto data
  • City of Toronto Open Data: Green Spaces
    Polygon boundaries, official names, land classes. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
  • Parks & Recreation Facilities
    Inventory of in-park amenities (washrooms, fields, rinks…).
  • Toronto Pedestrian Network
    Sidewalk segments around and through parks; estimated park entrances.
  • Toronto Centreline V2
    Street segments + intersection nodes near park edges; trails and walkways.
  • Toronto 3D Massing
    Building footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
  • Toronto Treed Area
    Tree canopy share inside park polygons via stratified-grid sampling.
  • Toronto Waterbodies & Rivers
    Water surface inside parks + nearest-water distance for cooling.
  • Ravine & Natural Feature Protection
    Ravine overlap as a cooling / natural-comfort signal.
  • Toronto Street Tree Inventory
    Tree count + density inside park polygons.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.