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Toronto Parks Atlas
Wincott Park, site photograph
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Waterfront Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Kingsview Village-The Westway (6)confidence moderate

Wincott Park

Waterfront Park, above average overall (score 43, rank ~81th percentile). Strongest: connectivity; weakest: edge activation.

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

Wincott Park scores 43 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forwaterfront recreationlong walks

Area · 7.70 ha

What's here

Recreation
PlaygroundTennisTable tennis
Facilities
Benches
Vitality Score
43/100

Weighted across six dimensions · confidence 72%

Data Confidence
43.0 / 100
Citywide
81st
of all 3,788 parks
Among Waterfront Park
86th
same primary typology
Expected for similar parks
39
median in large Waterfront Park waterfront (n=64)
Performance gap
+4
raw − expected · context confidence high
typical

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.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 43 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 · p51
-12.5
Connectivity76 · p97
+5.3
Amenity Diversity33 · p86
-3.3
Enclosure / Eyes on Park65 · p62
+1.5
Border Vacuum Risk36 (risk)
+1.4
Natural Comfort54 · p71
+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

Wincott Park works because its connectivity score (76) is one of the city's strongest and its amenity diversity (33) is also top quartile (19 transit stops sit within a 400 m walk; 24 intersections fall within 100 m of the edge).

What limits this park

Wincott Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 36.

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (76, top decile).

Jacobs reading

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

Tradeoffs

  • The park is enclosed by buildings (65) but the surrounding streets are quiet (edge activation 0): frame without animation.

Typology classification

confidence 85%
Waterfront Parkalso reads as Corridor / Linear Park

Classified as Waterfront Park: 5% water surface inside park. Secondary read: Corridor / Linear Park (shape elongation 2.5× a circle of equal area).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 1 active uses (transit_stop) and 7 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%
76.3 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 14 mapped paths/walkways and 52 sidewalk segments within 50 m; 24 street intersections within 100 m; 19 transit stops within a 400 m walk; 15 estimated access points across ~2,442 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m21
Intersections within 100 m24
Paths/walkways (50 m)14
Sidewalk segments (50 m)52
Transit stops (400 m)19
Estimated entrances15
Edge connections / 100 m perimeter0.86
Park perimeter2,442 m

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

Amenity Diversity

20% weightmeasured 75%
33.4 / 100

4 distinct amenity types in the park (playground, tennis, bench, table_tennis). 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%
54.3 / 100

Natural-comfort components for this park: ~9.9% effective canopy (3.4% from contiguous tree polygons + scattered tree density); 26.9% inside the ravine system; 5.0% water surface; 109 city-mapped trees inside the polygon (14.2/ha). Reading: water-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage3.4%
Canopy area0.26 ha
Inside ravine system26.9%
Water surface inside park5.0%
Nearest water (if outside park)0 m (inside)
Estimated green95.0%
City-mapped trees inside polygon109
Tree density14.2 / ha
Cover diversity (Shannon, 0 to 100)64.9
Sample points used119

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

Enclosure / Eyes on Park

10% weightmeasured 80%
65.2 / 100

192 buildings within 25 m of the park edge (4 mid-rise, 175 low-rise, 13 tower); avg edge height 7.6 m (~3 floors); 7.9 buildings per 100 m of 2,442 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 13 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.

Buildings within 25 m192
Buildings within 50 m192
Avg edge height7.6 m (~3 floors)
Tallest edge building69.1 m
Mid-rise (3 to 7 floors)4
Low-rise (< 3 floors)175
Towers (≥ 13 floors)13
Frontage density7.86 per 100 m perimeter
Mid-rise share of edge2%
Tower share of edge7%
Blank-edge share (proxy)0%
Park perimeter2,442 m

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

Border Vacuum Risk

10% weightpartial 60%
36.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, Westway Parking Lot, 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 (4 types · 8 records)

  • playground
  • tennis
  • bench
  • table tennis

Nearby active-edge features (16)

  • parking lot21 m
  • parking lot: Westway Parking Lot31 m
  • parking lot35 m
  • parking lot73 m
  • parking lot74 m
  • parking lot92 m
  • transit stop: The Westway at Wincott Dr93 m
  • parking lot95 m
  • transit stop: The Westway at Wincott Dr East Side112 m
  • parking lot122 m
  • parking lot126 m
  • parking lot150 m
  • transit stop: Dixon Rd at Chetta Pl151 m
  • transit stop: Dixon Rd at Wincott Dr167 m
  • transit stop: Dixon Road176 m
  • parking lot189 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureWincott Park
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
    81th
  • Edge activation
    51th
  • Connectivity
    97th
  • Amenity diversity
    86th
  • Natural comfort
    71th
  • Enclosure
    62th

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 Wincott 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
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.
  • 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

real Toronto data
  • City of Toronto Open Data: Parks (Green Space)
    Polygon boundaries, official names, types. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
  • 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.