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Cornell Park — site photograph
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Corridor / Linear Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Woburn (137)confidence moderatereal Toronto data

Cornell Park

Corridor / Linear Park, above average overall (score 40, rank ~73th percentile). Strongest: amenity diversity; weakest: edge activation.

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

Cornell Park scores 39.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:walking + cycling routeslinear social use

Area · 2.89 ha

Vitality Score
40/100

Weighted across six dimensions · confidence 68%

Data Confidence
39.6 / 100
Citywide
73rd
of all 3,273 parks
Among Corridor / Linear Park
77th
same primary typology
Expected for similar parks
37
median in medium Corridor / Linear Park (n=76)
Performance gap
+3
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 40 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 · p29
-12.5
Amenity Diversity21 · p87
-5.8
Border Vacuum Risk12 (risk)
+3.8
Connectivity66 · p84
+3.1
Enclosure / Eyes on Park59 · p29
+0.9
Natural Comfort51 · p62
+0.1

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

Cornell Park works because its amenity diversity score (21) is in the top tier and its connectivity (66) is also top quartile.

What limits this park

Cornell Park is held back by edge activation (0, below-average)— the surrounding streets carry too few active uses to spill into the park.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (21, top quartile).

Jacobs reading

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

Typology classification

confidence 75%
Corridor / Linear Parkalso reads as Neighbourhood Park

Classified as Corridor / Linear Park: shape elongation 2.3× a circle of equal area. Secondary read: Neighbourhood Park (2.9 ha, framed by 2 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 1 active uses (retail) and 2 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%
65.7 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 11 mapped paths/walkways and 23 sidewalk segments within 50 m; 10 street intersections within 100 m; 14 transit stops within a 400 m walk; 8 estimated access points across ~1,378 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m7
Intersections within 100 m10
Paths/walkways (50 m)11
Sidewalk segments (50 m)23
Transit stops (400 m)14
Estimated entrances8
Edge connections / 100 m perimeter0.51
Park perimeter1,378 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 (basketball, 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% weightpartial 45%
50.9 / 100

Natural-comfort components for this park: ~17.7% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~538 m; 73 city-mapped trees inside the polygon (25.3/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)538 m
Estimated green100.0%
City-mapped trees inside polygon73
Tree density25.3 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used138

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

Enclosure / Eyes on Park

10% weightmeasured 80%
58.7 / 100

121 buildings within 25 m of the park edge (2 mid-rise, 119 low-rise, 0 tower); avg edge height 4.1 m (~1 floors); 8.8 buildings per 100 m of 1,378 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.

Buildings within 25 m121
Buildings within 50 m121
Avg edge height4.1 m (~1 floors)
Tallest edge building32.3 m
Mid-rise (3–7 floors)2
Low-rise (< 3 floors)119
Towers (≥ 13 floors)0
Frontage density8.78 per 100 m perimeter
Mid-rise share of edge2%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter1,378 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" — 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)

  • basketball
  • playground

Nearby active-edge features (17)

  • parking lot0 m
  • parking lot73 m
  • retail — Skyland Food Mart98 m
  • parking lot103 m
  • retail — Value Village108 m
  • retail — Shankar Maharaj109 m
  • parking lot124 m
  • parking lot128 m
  • transit stop — Fortune Gate146 m
  • retail — Lawrence Mart147 m
  • restaurant — Sunset Caribbean151 m
  • retail — Comfort Cleaners151 m
  • retail — Fitness Zion154 m
  • retail — Salon Beauty Supplies157 m
  • restaurant — Mr. Sub160 m
  • parking lot — Retail Parking170 m
  • transit stop — Fortune Gate179 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureCornell Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    73th
  • Edge activation
    29th
  • Connectivity
    84th
  • Amenity diversity
    87th
  • Natural comfort
    62th
  • Enclosure
    29th

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 Cornell 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.

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

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.

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.