Parkettecluster ·Active-edged · exposed parksPelmo Park-Humberlea (23)confidence moderatereal Toronto data

Weston Village Park

Parkette, above average overall (score 39, rank ~73th percentile). Strongest: edge activation; weakest: connectivity.

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

Weston Village Park scores 39.4 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. 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 for:a quiet siteveryday neighbourhood use

Area · 0.35 ha

Vitality Score

39/100

Weighted across six dimensions · confidence 66%

Data Confidence

39.4 / 100

Citywide

73rd

of all 3,273 parks

Among Parkette

80th

same primary typology

Expected for similar parks

median in small Parkette (n=218)

Performance gap

raw − expected · context confidence high

typical

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

Explain this score

Where did the 39 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 · p79

-7.6

Border Vacuum Risk18 (risk)

+3.2

Edge Activation38 · p91

-3.0

Connectivity36 · p27

-2.9

Natural Comfort39 · p34

-1.7

Enclosure / Eyes on Park64 · p56

+1.4

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

Weston Village Park works because its edge activation score (38) is in the top tier and its amenity diversity (12) is also top quartile.

What limits this park

Weston Village Park is held back by connectivity (36, below-average).

Most distinctive characteristic

Most distinctive feature: exceptionally high edge activation (38, top decile).

Jacobs reading

Weston Village Park sits between an urban social park and an ecological retreat — moderately useful for both, exceptionally suited to neither.

Typology classification

confidence 70%

Parkette

Classified as Parkette: small (3456 m²) with strong building frontage (20.8 per 100 m)

Edge Activation

25% weightpartial 60%

38.0 / 100

Within 100 m of the park edge: 14 active uses (restaurant, retail) and 4 dead/hostile uses (parking_lot, rail). 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%

35.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 4 sidewalk segments within 50 m; 4 street intersections within 100 m; 9 transit stops within a 400 m walk; 0 estimated access points across ~236 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m1

Intersections within 100 m4

Paths/walkways (50 m)0

Sidewalk segments (50 m)4

Transit stops (400 m)9

Estimated entrances0

Edge connections / 100 m perimeter0.42

Park perimeter236 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 (playground). 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% weightinferred 36%

38.7 / 100

Natural-comfort components for this park: ~4.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~569 m; 6 city-mapped trees inside the polygon (6.0/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)569 m

Estimated green100.0%

City-mapped trees inside polygon6

Tree density6.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used23

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

Enclosure / Eyes on Park

10% weightmeasured 80%

64.3 / 100

49 buildings within 25 m of the park edge (0 mid-rise, 49 low-rise, 0 tower); avg edge height 6.0 m (~2 floors); 20.8 buildings per 100 m of 236 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.

Buildings within 25 m49

Buildings within 50 m49

Avg edge height6.0 m (~2 floors)

Tallest edge building8.5 m

Mid-rise (3–7 floors)0

Low-rise (< 3 floors)49

Towers (≥ 13 floors)0

Frontage density20.79 per 100 m perimeter

Mid-rise share of edge0%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter236 m

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

Border Vacuum Risk

10% weightpartial 60%

18.0 risk

Border-vacuum factors within 50 m of the park: MacTier Subdivision. 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

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)

playground

Nearby active-edge features (37)

rail — MacTier Subdivision39 m
retail — Beauty Supply Co65 m
retail67 m
retail69 m
retail69 m
restaurant — Wakame Sushi70 m
retail — Sleep Country70 m
retail71 m
restaurant — Jolly II Italian Restaurant73 m
retail — Dollar Tree75 m
retail75 m
retail79 m
retail85 m
parking lot86 m
retail — Aigoo Food Mart88 m
parking lot92 m
retail93 m
parking lot95 m
retail — MAXUM fitness103 m
parking lot113 m
retail — Bargain Club116 m
retail — LCBO125 m
retail — Caldense Bakery126 m
parking lot139 m
retail149 m
retail150 m
retail158 m
retail — Pet Valu159 m
retail — Groomingdale's Pet Grooming161 m
parking lot171 m
parking lot174 m
retail — Mark's175 m
parking lot179 m
retail179 m
parking lot188 m
retail — My Furniture by Mattress To Door190 m
retail194 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
73th
Edge activation
91th
Connectivity
27th
Amenity diversity
79th
Natural comfort
34th
Enclosure
56th

Most similar parks

Closest in metric space across the five structural dimensions.

Pellatt ParketteParkette39
DON MILLS CIVITAN ARENA - Building GroundsUrban Plaza41
KEN COX COMMUNITY CENTRE - Building GroundsNeighbourhood Park34
Taylor Creek RavineRavine / Naturalized Park40
Whitfield ParketteParkette37

Most opposite parks

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

High ParkRavine / Naturalized Park47
Trca Lands ( 26)Ravine / Naturalized Park27
Rouge ParkRavine / Naturalized Park28
Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
Rouge ParkWaterfront Park25

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 Weston Village 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.
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.
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 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.