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Kay Gardner Beltline Park, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (large-scale)Forest Hill South

Kay Gardner Beltline Park

Ravine / Naturalized Park, above average overall (score 41, rank ~76th percentile). Strongest: connectivity; weakest: edge activation.

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

Data updated

Kay Gardner Beltline Park scores 41.3 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 forescape into nature

Area · 20.56 ha

What's here

Recreation
Garden
Facilities
Drinking waterShelterBenches

Getting around

Paths

8.4 km of mapped path, 22% paved.

9 flights of steps on the mapped network.

Seating

Not enough mapped seating to assess (9 benches mapped).

Arrival

Parking inside the park. 1 of 125 nearby lots reporting 3 accessible spaces.

Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.

Vitality Score
41/100

Weighted across six dimensions · confidence 72%

Data Confidence
41.3 / 100

Data confidence: moderate

Citywide
76th
of all 3,753 parks
Among Ravine / Naturalized Park
80th
same primary typology
Expected for similar parks
37
median in large Ravine / Naturalized Park ravine (n=117)
Performance gap
+5
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.

Near the park

  • 1Mural

    Alexa Hatanaka;Patrick Thompson, 2014

    This mural depicts two abstract yarn bundles, signifying the importance of the yarn industry to the local community, while allowing for personal interpretation. The pedestrian tunnels are painted with colourful stripes to enliven the space.

    Source: OpenStreetMap

Numbers match the pins on the map. Works near the park are within 30 m of its edge.

Explain this score

Where did the 41 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 · p26
-12.5
Connectivity85 · p100
+7.0
Border Vacuum Risk100 (risk)
-5.0
Enclosure / Eyes on Park84 · p90
+3.4
Amenity Diversity34 · p86
-3.3
Natural Comfort61 · p78
+1.7

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

Kay Gardner Beltline Park works because its connectivity score (85) is one of the city's strongest and its enclosure (84) is also top decile (78 transit stops sit within a 400 m walk; 158 intersections fall within 100 m of the edge).

What limits this park

Kay Gardner Beltline Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (85, top decile).

Jacobs reading

Kay Gardner Beltline 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 (84) but the surrounding streets are quiet (edge activation 0): frame without animation.
  • High connectivity coexists with high border-vacuum risk (100): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Waterfront Park

Classified as Ravine / Naturalized Park: 41% ravine overlap, 15% canopy. Secondary read: Waterfront Park (nearest waterbody within ~0 m).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 70 active uses (retail, cafe, transit_stop, restaurant) and 98 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
84.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 190 mapped paths/walkways and 362 sidewalk segments within 50 m; 158 street intersections within 100 m; 5 subway or GO stations, 5 streetcar or LRT stops, 68 bus stops within a 400 m walk; 121 estimated access points across ~16,163 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m64
Intersections within 100 m158
Paths/walkways (50 m)190
Sidewalk segments (50 m)362
Transit stops (400 m)78 (5 subway/GO, 5 streetcar/LRT, 68 bus)
Estimated entrances121
Edge connections / 100 m perimeter0.40
Park perimeter16,163 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightmeasured 75%
33.7 / 100

4 distinct amenity types in the park (bench, drinking_water, garden, shelter). Diversity drives the score, so a park with many distinct activity types can outrank a larger park that repeats the same use. 1 public artwork near the park adds a bonus for the number of works.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.

Natural Comfort

15% weightmeasured 75%
61.1 / 100

Natural-comfort components for this park: 14.7% estimated tree canopy; 41.3% inside the ravine system; 0.9% water surface; 102 city-mapped trees inside the polygon (5.0/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage14.7%
Canopy area3.02 ha
Inside ravine system41.3%
Water surface inside park0.9%
Nearest water (if outside park)0 m (inside)
Estimated green99.1%
City-mapped trees inside polygon102
Tree density5.0 / ha
Cover diversity (Shannon, 0 to 100)75.8
Sample points used225

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%
84.4 / 100

1462 buildings within 25 m of the park edge (307 mid-rise, 1128 low-rise, 27 tower); avg edge height 9.4 m (~3 floors); 9.0 buildings per 100 m of 16,163 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 27 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 307 mid-rise edge buildings.

Buildings within 25 m1462
Buildings within 50 m1462
Avg edge height9.4 m (~3 floors)
Tallest edge building80.0 m
Mid-rise (3 to 7 floors)307
Low-rise (< 3 floors)1128
Towers (≥ 13 floors)27
Frontage density9.04 per 100 m perimeter
Mid-rise share of edge21%
Tower share of edge2%
Blank-edge share (proxy)0%
Park perimeter16,163 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, Eglinton Avenue West, Eglinton Avenue West, parking_lot, parking_lot, Eglinton Avenue West, parking_lot, parking_lot, parking_lot, parking_lot, rail, rail, rail, rail, rail, rail, rail, rail, Line 1 Yonge-University, rail, parking_lot, parking_lot, parking_lot, parking_lot, West 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: OpenStreetMap: highways, rail, parking. All data sources.

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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.

Amenities (4 types · 14 records)

  • bench
  • drinking water
  • garden
  • shelter

Nearby active-edge features (80)

  • transit stop: Chaplin0 m
  • parking lot0 m
  • parking lot0 m
  • transit stop1 m
  • cafe: Tim Hortons2 m
  • parking lot2 m
  • parking lot3 m
  • retail: Circle K6 m
  • parking lot6 m
  • parking lot7 m
  • parking lot9 m
  • highway: Eglinton Avenue West9 m
  • parking lot10 m
  • parking lot10 m
  • parking lot10 m
  • parking lot11 m
  • parking lot13 m
  • highway: Eglinton Avenue West14 m
  • rail15 m
  • parking lot15 m
  • parking lot15 m
  • parking lot15 m
  • parking lot17 m
  • highway: Eglinton Avenue West18 m
  • parking lot18 m
  • transit stop: Spadina Road18 m
  • parking lot18 m
  • parking lot19 m
  • parking lot19 m
  • transit stop: Oriole Pkwy at Chaplin Cres South Side19 m
  • transit stop19 m
  • parking lot20 m
  • parking lot20 m
  • transit stop21 m
  • parking lot21 m
  • parking lot22 m
  • parking lot22 m
  • rail22 m
  • parking lot22 m
  • transit stop23 m
  • rail23 m
  • parking lot25 m
  • parking lot25 m
  • parking lot25 m
  • parking lot26 m
  • parking lot28 m
  • transit stop: Marlee Ave at Roselawn Ave28 m
  • rail29 m
  • transit stop: Oriole Pkwy at Chaplin Cres30 m
  • rail30 m
  • transit stop: Bathurst St at Roselawn Ave31 m
  • parking lot: West Parking Lot33 m
  • parking lot33 m
  • parking lot34 m
  • rail34 m
  • rail: Line 1 Yonge-University34 m
  • transit stop: Eglinton Avenue West34 m
  • retail: Siinardi Hair Design36 m
  • transit stop: Warren Road39 m
  • retail: Magnotta Winery40 m
  • transit stop: Duncannon Drive40 m
  • parking lot40 m
  • transit stop: Spadina Rd at Eglinton Ave W40 m
  • transit stop: Chaplin41 m
  • transit stop42 m
  • retail: Georgian Renovations43 m
  • parking lot43 m
  • rail43 m
  • retail: European Flooring43 m
  • cafe: Starbucks44 m
  • transit stop: Chaplin44 m
  • transit stop: Roselawn Avenue44 m
  • transit stop: Avenue Road45 m
  • parking lot45 m
  • transit stop: Oriole Parkway46 m
  • transit stop: Chaplin Cres at Eglinton Ave W47 m
  • rail47 m
  • rail47 m
  • transit stop: Merton Street48 m
  • transit stop: Spadina Rd at Eglinton Ave W51 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureKay Gardner Beltline 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
    76th
  • Edge activation
    26th
  • Connectivity
    100th
  • Amenity diversity
    86th
  • Natural comfort
    78th
  • Enclosure
    90th

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 Kay Gardner Beltline Park matters. 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: Green Spaces
    Polygon boundaries, official names, land classes. 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.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.