Othercluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Cliffcrest (123)confidence moderatereal Toronto data

Mccowan District Park

Other, middle of the pack overall (score 34, rank ~50th percentile). Strongest: connectivity; weakest: enclosure.

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

Mccowan District Park scores 34.1 / 100. Strongest dimensions: connectivity 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 for:varies — see metrics

Area · 20.96 ha

Vitality Score

34/100

Weighted across six dimensions · confidence 72%

Data Confidence

34.1 / 100

Citywide

50th

of all 3,273 parks

Among Other

79th

same primary typology

Expected for similar parks

median in large Other (n=22)

Performance gap

raw − expected · context confidence medium

modest overperformer

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

Explain this score

Where did the 34 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 · p37

-12.5

Amenity Diversity21 · p89

-5.8

Connectivity77 · p97

+5.3

Border Vacuum Risk100 (risk)

-5.0

Natural Comfort59 · p74

+1.4

Enclosure / Eyes on Park57 · p24

+0.7

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

Mccowan District Park works because its connectivity score (77) is one of the city's strongest and its amenity diversity (21) is also top quartile (31 transit stops sit within a 400 m walk; 31 intersections fall within 100 m of the edge).

What limits this park

Mccowan District Park is held back by enclosure (57, bottom quartile); border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (77, top decile).

Jacobs reading

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

Tradeoffs

High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Performance in context

A modest overperformer for its other typology (+7 vs the median in large Other).
Although its citywide rank is low (50th), it ranks highly among similar others (79th) — strong for what it is, even if the absolute score is moderate.

Typology classification

confidence 30%

Other

Classified as Other: does not meet any specific typology threshold (21.0 ha, 2 amenity types, frontage 6.1/100m)

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 7 active uses (transit_stop) and 17 dead/hostile uses (rail, parking_lot, highway). 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%

76.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 47 mapped paths/walkways and 94 sidewalk segments within 50 m; 31 street intersections within 100 m; 31 transit stops within a 400 m walk; 21 estimated access points across ~4,979 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m21

Intersections within 100 m31

Paths/walkways (50 m)47

Sidewalk segments (50 m)94

Transit stops (400 m)31

Estimated entrances21

Edge connections / 100 m perimeter0.42

Park perimeter4,979 m

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

Amenity Diversity

20% weightmeasured 75%

21.0 / 100

2 distinct amenity types in the park (playground, washroom). 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% weightmeasured 75%

59.1 / 100

Natural-comfort components for this park: 10.3% estimated tree canopy; 29.9% inside the ravine system; nearest waterbody ~407 m; 24 city-mapped trees inside the polygon (1.1/ha). Reading: exposed. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage10.3%

Canopy area2.15 ha

Inside ravine system29.9%

Water surface inside park0.0%

Nearest water (if outside park)407 m

Estimated green100.0%

City-mapped trees inside polygon24

Tree density1.1 / ha

Cover diversity (Shannon, 0–100)82.1

Sample points used234

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

Enclosure / Eyes on Park

10% weightmeasured 80%

57.1 / 100

306 buildings within 25 m of the park edge (3 mid-rise, 303 low-rise, 0 tower); avg edge height 4.8 m (~2 floors); 6.1 buildings per 100 m of 4,979 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 3 mid-rise edge buildings.

Buildings within 25 m306

Buildings within 50 m306

Avg edge height4.8 m (~2 floors)

Tallest edge building29.4 m

Mid-rise (3–7 floors)3

Low-rise (< 3 floors)303

Towers (≥ 13 floors)0

Frontage density6.15 per 100 m perimeter

Mid-rise share of edge1%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter4,979 m

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

Border Vacuum Risk

10% weightpartial 60%

100.0 risk

Border-vacuum factors within 50 m of the park: Parking South, parking_lot, parking_lot, Kingston Subdivision, Kingston Subdivision, Kingston Subdivision, Kingston Subdivision, Kingston Subdivision, Eglinton Avenue East, Eglinton Avenue East, Kingston 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 (2 types · 2 records)

playground
washroom

Nearby active-edge features (51)

parking lot — Parking South0 m
parking lot0 m
parking lot0 m
transit stop — McCowan Rd at Martindale Rd2 m
transit stop — McCowan Rd at Bridlegrove Dr3 m
highway — Eglinton Avenue East14 m
transit stop — McCowan Rd at Bridlegrove Dr20 m
rail — Kingston Subdivision23 m
transit stop — McCowan Rd at Martindale Rd25 m
highway — Eglinton Avenue East25 m
rail — Kingston Subdivision29 m
rail — Kingston Subdivision31 m
rail — Kingston Subdivision35 m
rail — Kingston Subdivision36 m
transit stop — Eglinton37 m
rail — Kingston Subdivision39 m
transit stop — Comrie Terrace62 m
rail — Kingston Subdivision64 m
rail — Kingston Subdivision68 m
rail — Kingston Subdivision72 m
parking lot — Parking North84 m
transit stop — Skagway Avenue85 m
highway — Eglinton Avenue East88 m
parking lot92 m
transit stop103 m
transit stop — Oakridge Drive109 m
highway — Eglinton Avenue East117 m
rail — Kingston Subdivision119 m
highway — Eglinton Avenue East122 m
transit stop — Eglinton124 m
rail — Kingston Subdivision124 m
transit stop — Eglinton Ave E at Bellamy Rd126 m
rail — Kingston Subdivision129 m
transit stop — Skagway Avenue133 m
parking lot137 m
parking lot142 m
highway — Eglinton Avenue East146 m
parking lot153 m
rail158 m
highway — Eglinton Avenue East162 m
parking lot163 m
transit stop — Bellamy Rd N at Eglinton Ave E164 m
transit stop169 m
transit stop — Bellamy Rd N at Eglinton Ave E170 m
transit stop — Eglinton Ave E at Bellamy Rd N170 m
transit stop — McCowan Rd at Cree Ave175 m
highway — Eglinton Avenue East180 m
transit stop187 m
parking lot197 m
retail — Golden Tuck Shop198 m
parking lot199 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
50th
Edge activation
37th
Connectivity
97th
Amenity diversity
89th
Natural comfort
74th
Enclosure
24th

Most similar parks

Closest in metric space across the five structural dimensions.

Scarlett Mills ParkRavine / Naturalized Park34
Elm Park - North YorkNeighbourhood Park39
Rexdale ParkWaterfront Park45
Bloordale Park NorthRavine / Naturalized Park40
Driftwood ParkRavine / Naturalized Park41

Most opposite parks

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

Joseph Burr Tyrrell ParkUrban Plaza50
Bernard Avenue Road AllowanceUrban Plaza54
Manor Community GreenUrban Plaza57
Queen'S Quay Traffic IslandWaterfront Park49
Market Lane ParkUrban Plaza63

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 Mccowan District 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.
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

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.