Neighbourhood Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Bendale (127)confidence moderatereal Toronto data

Edgewood Park

Neighbourhood Park, in the top tier overall (score 44, rank ~87th percentile). Strongest: edge activation; weakest: natural comfort.

Photo by Raiyan Mohsin via Google Places · cached 5/9/2026

Edgewood Park scores 43.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (19.9). 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 urban life

Area · 1.61 ha

Vitality Score

44/100

Weighted across six dimensions · confidence 68%

Data Confidence

43.8 / 100

Citywide

87th

of all 3,273 parks

Among Neighbourhood Park

83rd

same primary typology

Expected for similar parks

median in medium Neighbourhood Park (n=363)

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.

Street context

Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.

Top-down view

cached 5/9/2026

City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.

City of Toronto Orthophoto · cot_ortho most-current MapServer

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 Diversity20 · p85

-6.0

Edge Activation33 · p88

-4.3

Enclosure / Eyes on Park71 · p70

+2.1

Connectivity59 · p71

+1.7

Border Vacuum Risk36 (risk)

+1.4

Natural Comfort43 · p44

-1.0

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

Edgewood Park works because its edge activation score (33) is in the top tier and its amenity diversity (20) is also top quartile.

What limits this park

Edgewood 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 edge activation (33, top quartile).

Jacobs reading

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

Performance in context

A modest overperformer for its neighbourhood park typology (+6 vs the median in medium Neighbourhood Park).

Typology classification

confidence 70%

Neighbourhood Park

Classified as Neighbourhood Park: 1.6 ha, framed by 8 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%

32.7 / 100

Within 100 m of the park edge: 11 active uses (restaurant, retail) and 4 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%

58.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 17 sidewalk segments within 50 m; 4 street intersections within 100 m; 14 transit stops within a 400 m walk; 4 estimated access points across ~646 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m5

Intersections within 100 m4

Paths/walkways (50 m)2

Sidewalk segments (50 m)17

Transit stops (400 m)14

Estimated entrances4

Edge connections / 100 m perimeter0.77

Park perimeter646 m

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

Amenity Diversity

20% weightmeasured 75%

19.9 / 100

2 distinct amenity types in the park (fitness, 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%

43.0 / 100

Natural-comfort components for this park: ~6.9% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~167 m; 16 city-mapped trees inside the polygon (9.9/ha). Reading: water-cooled. 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)167 m

Estimated green100.0%

City-mapped trees inside polygon16

Tree density9.9 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used112

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

Enclosure / Eyes on Park

10% weightmeasured 80%

70.8 / 100

75 buildings within 25 m of the park edge (8 mid-rise, 67 low-rise, 0 tower); avg edge height 5.8 m (~2 floors); 11.6 buildings per 100 m of 646 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 8 mid-rise edge buildings.

Buildings within 25 m75

Buildings within 50 m75

Avg edge height5.8 m (~2 floors)

Tallest edge building20.7 m

Mid-rise (3–7 floors)8

Low-rise (< 3 floors)67

Towers (≥ 13 floors)0

Frontage density11.61 per 100 m perimeter

Mid-rise share of edge11%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter646 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 (2 types · 2 records)

fitness
playground

Nearby active-edge features (33)

retail — Koi Store25 m
restaurant — Supreme Restaurant & Bar25 m
restaurant — The Thamel Express26 m
retail — Paradise Print26 m
retail — Asian Salon26 m
restaurant — Papa John's26 m
restaurant — Mob Lounge27 m
retail — Momoko Beauty & Wellness28 m
retail — Barber Shop28 m
retail — Wild Ink31 m
parking lot34 m
restaurant — Pizza Pizza36 m
parking lot43 m
parking lot44 m
parking lot70 m
parking lot100 m
parking lot124 m
parking lot128 m
parking lot137 m
parking lot147 m
parking lot148 m
parking lot163 m
parking lot165 m
parking lot180 m
parking lot184 m
restaurant — Roll N Bowl Korean & Japanese Cuisine185 m
parking lot185 m
parking lot187 m
parking lot189 m
parking lot190 m
transit stop — Midland Avenue191 m
retail — Supersuds Coin Laundry196 m
parking lot199 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
87th
Edge activation
88th
Connectivity
71th
Amenity diversity
85th
Natural comfort
44th
Enclosure
70th

Most similar parks

Closest in metric space across the five structural dimensions.

Treverton ParkCorridor / Linear Park51
Maple Claire ParkParkette46
Greenfield ParkParkette45
WELLESLEY COMMUNITY CENTRE - Building GroundsParkette44
Coleman ParkUrban Plaza48

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

Visitor signals

Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.

high-confidence match

Visitor signal score

31/ 100

30.6 / 100

p18 citywide · p22 within Neighbourhood Park

Volume (saturated)6

Density / ha17

Rating contribution78

Match dampener×1.00

Average rating

★ 4.1

out of 5

Ratings collected

total reviews

Photos uploaded

total contributors

Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.

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

8/ 100

8.2 / 100

Programming / events

0unknown

Social attention

12real

Temporal rhythm

13real

Pedestrian / cycling flow

8unknown

Cultural significance

25unknown

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 Edgewood 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.