Parkettecluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Lambton Baby Point (114)confidence moderate

Florence Gell Park

Parkette, in the top tier overall (score 49, rank ~94th percentile). Strongest: edge activation; weakest: enclosure.

Photo by Edverlyn Barham via Google Places · cached 5/9/2026

Florence Gell Park scores 48.9 / 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 fora quiet siteveryday neighbourhood use

Area · 0.34 ha

Vitality Score

49/100

Weighted across six dimensions · confidence 66%

Data Confidence

48.9 / 100

Citywide

94th

of all 3,273 parks

Among Parkette

97th

same primary typology

Expected for similar parks

median in small Parkette (n=218)

Performance gap

+13

raw − expected · context confidence high

strong overperformer

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

Loading map…

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

Florence Gell Park, aerial top-down view — **Top-down view.**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 · cached 5/9/2026.

Explain this score

Where did the 49 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 · p76

-7.6

Border Vacuum Risk0 (risk)

+5.0

Edge Activation33 · p89

-4.2

Connectivity65 · p82

+3.0

Enclosure / Eyes on Park69 · p67

+1.9

Natural Comfort55 · p69

+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

Florence Gell Park works because its edge activation score (33) is in the top tier and its connectivity (65) is also top quartile.

What limits this park

Florence Gell Park 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 edge activation (33, top quartile).

Jacobs reading

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

Performance in context

This park is a strong overperformer for its cohort: raw 49 versus an expected 36 for similar parks (small Parkette) (gap +13).

Typology classification

confidence 70%

Parkette

Classified as Parkette: small (3354 m²) with strong building frontage (27.1 per 100 m)

Edge Activation

25% weightpartial 60%

33.3 / 100

Within 100 m of the park edge: 3 active uses (transit_stop) and 0 dead/hostile uses (none). 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%

64.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 10 sidewalk segments within 50 m; 11 street intersections within 100 m; 17 transit stops within a 400 m walk; 3 estimated access points across ~240 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m7

Intersections within 100 m11

Paths/walkways (50 m)3

Sidewalk segments (50 m)10

Transit stops (400 m)17

Estimated entrances3

Edge connections / 100 m perimeter2.92

Park perimeter240 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%

55.4 / 100

Natural-comfort components for this park: ~23.8% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~298 m; 34 city-mapped trees inside the polygon (34.0/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)298 m

Estimated green100.0%

City-mapped trees inside polygon34

Tree density34.0 / ha

Cover diversity (Shannon, 0 to 100)0.0

Sample points used24

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

Enclosure / Eyes on Park

10% weightmeasured 80%

68.9 / 100

65 buildings within 25 m of the park edge (1 mid-rise, 64 low-rise, 0 tower); avg edge height 5.8 m (~2 floors); 27.1 buildings per 100 m of 240 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.

Buildings within 25 m65

Buildings within 50 m65

Avg edge height5.8 m (~2 floors)

Tallest edge building9.4 m

Mid-rise (3 to 7 floors)1

Low-rise (< 3 floors)64

Towers (≥ 13 floors)0

Frontage density27.08 per 100 m perimeter

Mid-rise share of edge2%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter240 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 (7)

transit stop31 m
transit stop48 m
transit stop85 m
transit stop113 m
transit stop119 m
transit stop131 m
parking lot161 m

Park profile

Five-axis radar across the structural dimensions.

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
94th
Edge activation
89th
Connectivity
82th
Amenity diversity
76th
Natural comfort
69th
Enclosure
67th

Most similar parks

Closest in metric space across the five structural dimensions.

Bill Hancox ParkNeighbourhood Park48
Four Oaks Gate ParkParkette47
Sisken Trail ParkParkette46
Highland Creek Community ParkRavine / Naturalized Park50
Forest Hill Road ParkRavine / Naturalized Park48

Most opposite parks

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

Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
Trca Lands ( 26)Ravine / Naturalized Park27
Rouge ParkRavine / Naturalized Park21
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 score49 / 100

49.0 / 100

p65 citywide · p66 within Parkette

Volume (saturated)9

Density / ha61

Rating contribution90

Match dampener×1.00

Average rating

★ 4.6

out of 5

Ratings collected

total reviews

Photos uploaded

total contributors

Source: Google Places API · match high (1.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.

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 Florence Gell 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.

Data sources

real Toronto data

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.