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Toronto Parks Atlas
Paul Kane House Parkette, site photograph
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Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Church-Yonge Corridor (75)confidence moderate

Paul Kane House Parkette

Urban Plaza, above average overall (score 43, rank ~82th percentile). Strongest: enclosure; weakest: connectivity.

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

Paul Kane House Parkette scores 43.2 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (20.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fordaily passing-throughpocket meetings

Area · 0.20 ha

What's here

Recreation
Garden
Facilities
Benches
Vitality Score
43/100

Weighted across six dimensions · confidence 63%

Data Confidence
43.2 / 100
Citywide
82nd
of all 3,788 parks
Among Urban Plaza
69th
same primary typology
Expected for similar parks
38
median in pocket Urban Plaza (n=360)
Performance gap
+6
raw − expected · context confidence high
modest overperformer

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 Activation21 · p78
-7.3
Amenity Diversity21 · p73
-5.8
Enclosure / Eyes on Park89 · p95
+3.9
Border Vacuum Risk12 (risk)
+3.8
Connectivity43 · p46
-1.4
Natural Comfort50 · p57
+0.0

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

Paul Kane House Parkette works because its enclosure score (89) is one of the city's strongest and its edge activation (21) is also top quartile (63 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Paul Kane House Parkette doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (89, top decile).

Jacobs reading

Paul Kane House Parkette 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 (89) but the surrounding streets are quiet (edge activation 21): frame without animation.

Performance in context

  • A modest overperformer for its urban plaza typology (+6 vs the median in pocket Urban Plaza).

Typology classification

confidence 70%
Urban Plaza

Classified as Urban Plaza: 2025 m², paved (0% canopy), 59.6 buildings/100 m

Edge Activation

25% weightpartial 60%
20.9 / 100

Within 100 m of the park edge: 20 active uses (restaurant, transit_stop, retail, community, cafe) 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%
43.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 8 sidewalk segments within 50 m; 11 street intersections within 100 m; 21 transit stops within a 400 m walk; 0 estimated access points across ~183 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m0
Intersections within 100 m11
Paths/walkways (50 m)0
Sidewalk segments (50 m)8
Transit stops (400 m)21
Estimated entrances0
Edge connections / 100 m perimeter0.00
Park perimeter183 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 (bench, garden). 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 15%
50.0 / 100

Natural Comfort requires inputs not yet loaded for this park (Treed Area / Ravine / Waterbodies / Street Trees). Score is held at a neutral 50 with low confidence. Read with caution.

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)1,500 m
Estimated green100.0%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used17

Source: Treed Area / Ravine / Waterbodies / Street Trees

Enclosure / Eyes on Park

10% weightmeasured 80%
89.0 / 100

109 buildings within 25 m of the park edge (63 mid-rise, 29 low-rise, 17 tower); avg edge height 24.5 m (~8 floors); 59.6 buildings per 100 m of 183 m perimeter (strong frontage density); edges lean tall but still framed; 17 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 63 mid-rise edge buildings.

Buildings within 25 m109
Buildings within 50 m109
Avg edge height24.5 m (~8 floors)
Tallest edge building115.6 m
Mid-rise (3 to 7 floors)63
Low-rise (< 3 floors)29
Towers (≥ 13 floors)17
Frontage density59.59 per 100 m perimeter
Mid-rise share of edge58%
Tower share of edge16%
Blank-edge share (proxy)0%
Park perimeter183 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" 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 (2 types · 7 records)

  • bench
  • garden

Nearby active-edge features (80)

  • parking lot4 m
  • retail: Ho Team Nails Hair Beauty Salon42 m
  • retail: Maple Fun Tours50 m
  • parking lot53 m
  • restaurant: Amor Fusion Doner & Kebab64 m
  • retail: Skylark64 m
  • transit stop: Church Street65 m
  • parking lot66 m
  • retail: Nova Supreme Dry Cleaners74 m
  • parking lot75 m
  • cafe: Second Cup78 m
  • restaurant: Ginger79 m
  • restaurant: Fox and Fiddle81 m
  • parking lot82 m
  • restaurant83 m
  • retail: Dudley's Hardware84 m
  • cafe: Understory86 m
  • transit stop: Church Street87 m
  • retail: Steamworks Baths Toronto89 m
  • restaurant: Pizza Pizza89 m
  • restaurant: Storm Crow Manor90 m
  • restaurant: Hero Certified Burgers91 m
  • retail: Pusateri Fruit92 m
  • parking lot94 m
  • parking lot98 m
  • restaurant: The Cherie Bistro99 m
  • community: The Village Centre100 m
  • retail: Whiskful Thinking100 m
  • restaurant: Country Style/Yogen Früz102 m
  • retail: Two Spirit Smoke & Flower shop103 m
  • transit stop: Wellesley Station103 m
  • retail: Wellesley Convenience105 m
  • restaurant: The Spice Village107 m
  • parking lot110 m
  • restaurant: Si Lom Thai Bistro110 m
  • retail: Wine Rack110 m
  • retail: Glad Day Bookshop111 m
  • transit stop: Wellesley114 m
  • retail: Stag Shop115 m
  • transit stop: Dundonald Street115 m
  • parking lot116 m
  • retail: Rainbow Station116 m
  • transit stop: Wellesley Street East118 m
  • transit stop: Wellesley118 m
  • retail: Love Shop120 m
  • retail: Eyes On Church120 m
  • parking lot122 m
  • restaurant: Sambucas On Church122 m
  • restaurant: Pegasus Bar124 m
  • transit stop: Wellesley Station129 m
  • retail: Cho-kwok-lat130 m
  • restaurant: Pizza Nova130 m
  • cafe: Starbucks131 m
  • restaurant: Loaded Pierogi135 m
  • retail: Hasty Market139 m
  • parking lot140 m
  • parking lot142 m
  • restaurant: Garage149 m
  • parking lot154 m
  • restaurant: O'Gradys159 m
  • parking lot163 m
  • parking lot: Village Parking167 m
  • restaurant: The Churchmouse: A Firkin Pub171 m
  • retail: Mr Tobacconists174 m
  • restaurant: Soy Boys176 m
  • restaurant: Indian Roti House176 m
  • cafe: FUEL+177 m
  • retail: Pay More178 m
  • cafe: Machi machi178 m
  • cafe: Tim Hortons179 m
  • retail: Mix40179 m
  • cafe: Gong Cha179 m
  • retail: Dream Beauty179 m
  • restaurant: Pho Anh Vu179 m
  • restaurant: GunGun Rice Noodle179 m
  • restaurant179 m
  • retail: Church Wellness Centre179 m
  • retail: Puffs Haven179 m
  • restaurant: Hoki Bowl180 m
  • cafe: Good Earth Coffeehouse180 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosurePaul Kane House Parkette
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
    82th
  • Edge activation
    78th
  • Connectivity
    46th
  • Amenity diversity
    73th
  • Natural comfort
    57th
  • Enclosure
    95th

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 Paul Kane House Parkettematters. 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.
  • 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.

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.