Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)The Beaches (63)confidence moderatereal Toronto data

Jeff Sloan Playground

Urban Plaza, in the top tier overall (score 44, rank ~88th percentile). Strongest: enclosure; weakest: natural comfort.

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

Jeff Sloan Playground scores 44.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily passing-throughpocket meetings

Area · 0.17 ha

Vitality Score

44/100

Weighted across six dimensions · confidence 66%

Data Confidence

44.3 / 100

Citywide

88th

of all 3,273 parks

Among Urban Plaza

82nd

same primary typology

Expected for similar parks

median in pocket Urban Plaza (n=337)

Performance gap

raw − expected · context confidence high

modest overperformer

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Explain this score

Where did the 44 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

Amenity Diversity12 · p79

-7.6

Edge Activation25 · p85

-6.2

Border Vacuum Risk0 (risk)

+5.0

Enclosure / Eyes on Park87 · p93

+3.7

Natural Comfort41 · p39

-1.4

Connectivity54 · p62

+0.8

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

Jeff Sloan Playground works because its enclosure score (87) is in the top tier and its edge activation (25) is also top quartile (13 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Jeff Sloan Playground 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 (87, top decile).

Jacobs reading

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

Tradeoffs

Strong physical conditions (score 44) but weak observed activity signals (7) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.

Performance in context

A modest overperformer for its urban plaza typology (+8 vs the median in pocket Urban Plaza).

Typology classification

confidence 70%

Urban Plaza

Classified as Urban Plaza: 1685 m², paved (0% canopy), 49.1 buildings/100 m

Edge Activation

25% weightpartial 60%

25.3 / 100

Within 100 m of the park edge: 3 active uses (transit_stop) and 1 dead/hostile uses (highway). 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%

53.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 9 sidewalk segments within 50 m; 10 street intersections within 100 m; 22 transit stops within a 400 m walk; 0 estimated access points across ~167 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m4

Intersections within 100 m10

Paths/walkways (50 m)0

Sidewalk segments (50 m)9

Transit stops (400 m)22

Estimated entrances0

Edge connections / 100 m perimeter2.39

Park perimeter167 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% weightinferred 36%

40.8 / 100

Natural-comfort components for this park: ~6.3% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~669 m; 9 city-mapped trees inside the polygon (9.0/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)669 m

Estimated green100.0%

City-mapped trees inside polygon9

Tree density9.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used15

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

Enclosure / Eyes on Park

10% weightmeasured 80%

87.1 / 100

82 buildings within 25 m of the park edge (13 mid-rise, 69 low-rise, 0 tower); avg edge height 7.7 m (~3 floors); 49.1 buildings per 100 m of 167 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 13 mid-rise edge buildings.

Buildings within 25 m82

Buildings within 50 m82

Avg edge height7.7 m (~3 floors)

Tallest edge building11.0 m

Mid-rise (3–7 floors)13

Low-rise (< 3 floors)69

Towers (≥ 13 floors)0

Frontage density49.08 per 100 m perimeter

Mid-rise share of edge16%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter167 m

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

Border Vacuum Risk

10% weightpartial 60%

0.0 risk

Park edges face the city — no significant border vacuum detected.

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 (11)

transit stop — Dundas Street East82 m
transit stop — Dundas Street East86 m
highway — Kingston Road88 m
transit stop — Columbine Avenue97 m
transit stop — Dixon Avenue113 m
transit stop — Dixon Avenue115 m
highway — Kingston Road115 m
retail — Toby's Food Market139 m
parking lot144 m
parking lot169 m
parking lot190 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
88th
Edge activation
85th
Connectivity
62th
Amenity diversity
79th
Natural comfort
39th
Enclosure
93th

Most similar parks

Closest in metric space across the five structural dimensions.

Primrose Avenue ParketteUrban Plaza42
PARKDALE COMMUNITY RECREATION CENTRE - Building GroundsNeighbourhood Park43
Melbourne Avenue ParketteUrban Plaza42
KEELE COMMUNITY CENTRE - Building GroundsOther45
REGENT PARK COMMUNITY CENTRE - Building GroundsUrban Plaza43

Most opposite parks

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

Trca Lands ( 26)Ravine / Naturalized Park27
Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
Rouge ParkRavine / Naturalized Park28
Rouge ParkWaterfront Park25
Rouge ParkRavine / Naturalized Park26

Human activity signals

Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.

confidence 50%

Overall activity

7/ 100

6.6 / 100

Programming / events

0unknown

Social attention

8real

Temporal rhythm

13real

Pedestrian / cycling flow

8unknown

Cultural significance

15unknown

Activity reading: no inputs available. The strongest signal is consistent rhythm across the day. Source coverage: google-places.

Does this score feel accurate?

Your read of Jeff Sloan Playgroundmatters. 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.

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.