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WELLESLEY COMMUNITY CENTRE - Building Grounds, site photograph
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Parkettecluster ·Active-edged · exposed parksNorth St.James Town (74)confidence moderate

WELLESLEY COMMUNITY CENTRE - Building Grounds

Parkette, in the top tier overall (score 44, rank ~87th percentile). Strongest: edge activation; weakest: natural comfort.

Photo by Harry Xiao via Google Places · cached 5/9/2026

WELLESLEY COMMUNITY CENTRE - Building Grounds scores 44 / 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.

Best fora quiet siteveryday neighbourhood use

Area · 0.71 ha

Vitality Score
44/100

Weighted across six dimensions · confidence 68%

Data Confidence
44.0 / 100
Citywide
87th
of all 3,273 parks
Among Parkette
90th
same primary typology
Expected for similar parks
36
median in small Parkette (n=218)
Performance gap
+8
raw − expected · context confidence high
modest overperformer

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

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Street context. Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
WELLESLEY COMMUNITY CENTRE - Building Grounds, aerial top-down view
Top-down view.City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above. City of Toronto Orthophoto · cot_ortho most-current MapServer · cached 5/9/2026.

Explain this score

Where did the 44 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
Amenity Diversity12 · p77
-7.6
Edge Activation28 · p86
-5.5
Border Vacuum Risk12 (risk)
+3.8
Enclosure / Eyes on Park75 · p77
+2.5
Connectivity57 · p69
+1.4
Natural Comfort46 · p52
-0.6

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

WELLESLEY COMMUNITY CENTRE - Building Grounds works because its edge activation score (28) is in the top tier and its enclosure (75) is also top quartile.

What limits this park

WELLESLEY COMMUNITY CENTRE - Building Grounds 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 (28, top quartile).

Jacobs reading

WELLESLEY COMMUNITY CENTRE - Building Grounds sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.

Tradeoffs

  • 21 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.

Performance in context

  • A modest overperformer for its parkette typology (+8 vs the median in small Parkette).

Typology classification

confidence 70%
Parkette

Classified as Parkette: small (7113 m²) with strong building frontage (20.5 per 100 m)

Edge Activation

25% weightpartial 60%
28.0 / 100

Within 100 m of the park edge: 19 active uses (transit_stop, community, retail, restaurant) and 6 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

20% weightmeasured 85%
57.0 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 21 sidewalk segments within 50 m; 5 street intersections within 100 m; 18 transit stops within a 400 m walk; 0 estimated access points across ~356 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m9
Intersections within 100 m5
Paths/walkways (50 m)0
Sidewalk segments (50 m)21
Transit stops (400 m)18
Estimated entrances0
Edge connections / 100 m perimeter2.53
Park perimeter356 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops

Amenity Diversity

20% weightmeasured 75%
11.9 / 100

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

15% weightpartial 45%
46.0 / 100

Natural-comfort components for this park: ~13.3% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1103 m; 19 city-mapped trees inside the polygon (19.0/ha). Reading: exposed. Source coverage: 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 system0.0%
Water surface inside park0.0%
Nearest water (if outside park)1,103 m
Estimated green100.0%
City-mapped trees inside polygon19
Tree density19.0 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used50

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory

Enclosure / Eyes on Park

10% weightmeasured 80%
75.2 / 100

73 buildings within 25 m of the park edge (37 mid-rise, 15 low-rise, 21 tower); avg edge height 34.8 m (~12 floors); 20.5 buildings per 100 m of 356 m perimeter (strong frontage density); edges lean tall but still framed; 21 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 37 mid-rise edge buildings.

Buildings within 25 m73
Buildings within 50 m73
Avg edge height34.8 m (~12 floors)
Tallest edge building119.1 m
Mid-rise (3 to 7 floors)37
Low-rise (< 3 floors)15
Towers (≥ 13 floors)21
Frontage density20.50 per 100 m perimeter
Mid-rise share of edge51%
Tower share of edge29%
Blank-edge share (proxy)0%
Park perimeter356 m

Source: Toronto 3D Massing (building footprints + heights)

Border Vacuum Risk

10% weightpartial 60%
12.0 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

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: Toronto Neighbourhood Profiles

Amenities (1 types · 1 records)

  • community centre

Nearby active-edge features (51)

  • community: Toronto Public Library - St. James Town0 m
  • transit stop: Sherbourne Street0 m
  • community: Wellesley Community Centre0 m
  • transit stop11 m
  • retail: Art City17 m
  • transit stop: Wellesley Street East17 m
  • retail: PNB Rapid Remit21 m
  • retail: Sherbourne Variety & Gift28 m
  • transit stop: Wellesley Street East31 m
  • parking lot37 m
  • transit stop: Sherbourne Street40 m
  • community: St. James Town Community Corner46 m
  • restaurant: Mr. Jerk51 m
  • parking lot58 m
  • retail: Becker's58 m
  • retail: Lemay Beauty Salon & Spa71 m
  • restaurant: Sarvi Indian Cuisine76 m
  • parking lot78 m
  • retail: Rosar Morrison Funeral Home & Chapel80 m
  • parking lot81 m
  • retail: Sweet Addictions82 m
  • retail: Smart Access83 m
  • parking lot90 m
  • transit stop: Earl Street93 m
  • parking lot94 m
  • parking lot102 m
  • parking lot117 m
  • retail: Sunny Green Vegetable And Fruit Limited120 m
  • retail: FreshCo122 m
  • parking lot124 m
  • transit stop: Ontario Street128 m
  • parking lot131 m
  • cafe: Red Rocket Coffee132 m
  • retail: Platis Cleaners140 m
  • parking lot147 m
  • retail: Rabba147 m
  • transit stop: Ontario Street151 m
  • restaurant: Subway158 m
  • retail: Supreme Computers and Repair158 m
  • retail: Price Depot Canada158 m
  • retail: St. James Town Gift & Variety159 m
  • retail: Food Basics162 m
  • parking lot168 m
  • parking lot183 m
  • restaurant: Gabby's185 m
  • retail190 m
  • retail: Philippine Variety Store194 m
  • retail: T & B Hair Salon194 m
  • retail: Harla Spice Market194 m
  • parking lot196 m
  • transit stop: Isabella Street199 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureWELLESLEY 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
    87th
  • Edge activation
    86th
  • Connectivity
    69th
  • Amenity diversity
    77th
  • Natural comfort
    52th
  • Enclosure
    77th

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.

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.

medium-confidence match
Visitor signal score65 / 100
64.5 / 100

p86 citywide · p93 within Parkette

Volume (saturated)58
Density / ha91
Rating contribution85
Match dampener×0.85
Average rating
★ 4.4
out of 5
Ratings collected
688
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match medium (0.76 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 WELLESLEY COMMUNITY 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.

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.
  • 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

real Toronto data
  • City of Toronto Open Data: Parks (Green Space)
    Polygon boundaries, official names, types.
  • 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.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.