Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Stonegate-Queensway (16)confidence moderatereal Toronto data

Kinsdale Park

Urban Plaza, middle of the pack overall (score 36, rank ~59th percentile). Strongest: enclosure; weakest: edge activation.

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

Kinsdale Park scores 36 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 for:daily passing-throughpocket meetings

Area · 0.55 ha

Vitality Score

36/100

Weighted across six dimensions · confidence 68%

Data Confidence

36.0 / 100

Citywide

59th

of all 3,273 parks

Among Urban Plaza

44th

same primary typology

Expected for similar parks

median in small Urban Plaza (n=100)

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 36 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 · p24

-12.5

Amenity Diversity12 · p71

-7.6

Enclosure / Eyes on Park75 · p77

+2.5

Connectivity61 · p76

+2.2

Border Vacuum Risk36 (risk)

+1.4

Natural Comfort50 · p59

-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

Kinsdale Park works because its enclosure score (75) is above average and its connectivity (61) is also top quartile (11 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Kinsdale Park is held back by edge activation (0, bottom quartile)— the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (36).

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (75, top quartile).

Jacobs reading

Kinsdale 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 (75) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Typology classification

confidence 70%

Urban Plaza

Classified as Urban Plaza: 5494 m², paved (0% canopy), 12.2 buildings/100 m

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 0 active uses (none) 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%

61.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 7 mapped paths/walkways and 9 sidewalk segments within 50 m; 7 street intersections within 100 m; 16 transit stops within a 400 m walk; 2 estimated access points across ~384 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m4

Intersections within 100 m7

Paths/walkways (50 m)7

Sidewalk segments (50 m)9

Transit stops (400 m)16

Estimated entrances2

Edge connections / 100 m perimeter1.04

Park perimeter384 m

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

Amenity Diversity

20% weightmeasured 75%

11.9 / 100

1 distinct amenity types in the park (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%

49.9 / 100

Natural-comfort components for this park: ~15.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~341 m; 22 city-mapped trees inside the polygon (22.0/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)341 m

Estimated green100.0%

City-mapped trees inside polygon22

Tree density22.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used38

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

Enclosure / Eyes on Park

10% weightmeasured 80%

75.1 / 100

47 buildings within 25 m of the park edge (11 mid-rise, 36 low-rise, 0 tower); avg edge height 5.8 m (~2 floors); 12.2 buildings per 100 m of 384 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 11 mid-rise edge buildings.

Buildings within 25 m47

Buildings within 50 m47

Avg edge height5.8 m (~2 floors)

Tallest edge building12.9 m

Mid-rise (3–7 floors)11

Low-rise (< 3 floors)36

Towers (≥ 13 floors)0

Frontage density12.24 per 100 m perimeter

Mid-rise share of edge23%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter384 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, parking_lot, 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 (1 types · 1 records)

playground

Nearby active-edge features (28)

parking lot9 m
parking lot9 m
parking lot36 m
parking lot50 m
parking lot72 m
parking lot84 m
parking lot98 m
parking lot114 m
parking lot115 m
parking lot117 m
transit stop121 m
parking lot122 m
transit stop — Cloverhill Road123 m
parking lot124 m
parking lot127 m
transit stop — Bell Manor Drive131 m
parking lot150 m
parking lot151 m
parking lot155 m
parking lot156 m
parking lot162 m
transit stop — Cloverhill Road167 m
retail — Oti's European Hair Style176 m
parking lot181 m
parking lot181 m
transit stop — Cloverhill Road183 m
transit stop — Berry Rd at Stephen Dr196 m
parking lot198 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
59th
Edge activation
24th
Connectivity
76th
Amenity diversity
71th
Natural comfort
59th
Enclosure
77th

Most similar parks

Closest in metric space across the five structural dimensions.

Warner ParkParkette34
Wellesley ParkRavine / Naturalized Park40
Maplehurst ParkUrban Plaza39
Mondeo ParkParkette39
Robert Hicks ParkParkette40

Most opposite parks

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

Leslie Grove ParkParkette68
Market Lane ParkUrban Plaza63
Simcoe ParkTower-Community Green Space51
Queen'S Quay Traffic IslandWaterfront Park49
Kew GardensNeighbourhood Park71

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 Kinsdale 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.
Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
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.