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.
Area · 0.71 ha
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
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
Explain this score
Where did the 44 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
What limits this park
Most distinctive characteristic
Jacobs reading
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
Classified as Parkette: small (7113 m²) with strong building frontage (20.5 per 100 m)
Edge Activation
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
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.
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: ~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).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
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.
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" — they 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 (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.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality87th
- Edge activation86th
- Connectivity69th
- Amenity diversity77th
- Natural comfort52th
- Enclosure77th
Most similar parks
Closest in metric space across the five structural dimensions.
- Ellerslie ParkNeighbourhood Park43
- Nightstar ParkUrban Plaza46
- Edgewood ParkNeighbourhood Park44
- Primrose Avenue ParketteUrban Plaza42
- BOWMORE PUBLIC SCHOOL - Building GroundsNeighbourhood Park46
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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.
p86 citywide · p93 within Parkette
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
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: pedestrian intensity 54.7/100; cycling/trail 91.2/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters, google-places.
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.
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.