Urban Plazacluster ·Underperforming / Leftover Spaces (enclosure-leaning)Annex (95)confidence moderate

Euclid Avenue Parkette

Urban Plaza, middle of the pack overall (score 32, rank ~40th percentile). Strongest: enclosure; weakest: natural comfort.

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

Euclid Avenue Parkette scores 32.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (2.6). Border-vacuum risk is elevated (48). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fordaily passing-throughpocket meetings

Area · 0.04 ha

What's here

Facilities

Benches

Vitality Score

32/100

Weighted across six dimensions · confidence 65%

Data Confidence

32.2 / 100

Citywide

40th

of all 3,788 parks

Among Urban Plaza

20th

same primary typology

Expected for similar parks

median in pocket Urban Plaza (n=360)

Performance gap

-6

raw − expected · context confidence high

modest underperformer

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.

Explain this score

Where did the 32 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 Activation3 · p64

-11.8

Amenity Diversity12 · p60

-7.6

Natural Comfort22 · p1

-4.2

Enclosure / Eyes on Park87 · p93

+3.7

Connectivity60 · p76

+1.9

Border Vacuum Risk48 (risk)

+0.2

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

Euclid Avenue Parkette works because its enclosure score (87) is in the top tier and its connectivity (60) is also top quartile (9 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Euclid Avenue Parkette is held back by natural comfort (22, bottom quartile): only 0% canopy means little summer shade; border-vacuum risk is also elevated (48).

Most distinctive characteristic

Most distinctive feature: exceptionally low natural comfort (22, bottom quartile).

Jacobs reading

Euclid Avenue Parkette sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.

Tradeoffs

Connectivity (60) significantly outpaces natural comfort (22): well placed in the city but offers little shade or ecological respite.
The park is enclosed by buildings (87) but the surrounding streets are quiet (edge activation 3): frame without animation.

Performance in context

Reads as a modest underperformer relative to comparable parks (gap -6; cohort: pocket Urban Plaza).
Citywide rank is high (40th) but typology rank is more modest (20th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.

Typology classification

confidence 70%

Urban Plaza

Classified as Urban Plaza: 356 m², paved (0% canopy), 62.0 buildings/100 m

Edge Activation

25% weightpartial 60%

2.6 / 100

Within 100 m of the park edge: 58 active uses (restaurant, retail, cafe, school) and 11 dead/hostile uses (parking_lot, highway, rail). 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%

59.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 1 mapped paths/walkways and 8 sidewalk segments within 50 m; 7 street intersections within 100 m; 22 transit stops within a 400 m walk; 1 estimated access points across ~95 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m7

Intersections within 100 m7

Paths/walkways (50 m)1

Sidewalk segments (50 m)8

Transit stops (400 m)22

Estimated entrances1

Edge connections / 100 m perimeter7.00

Park perimeter95 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 (bench). 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 24%

22.3 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~1412 m. Reading: exposed. Source coverage: waterbodies. 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)1,412 m

Estimated green100.0%

City-mapped trees inside polygon0

Tree density0.0 / ha

Cover diversity (Shannon, 0 to 100)0.0

Sample points used10

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

Enclosure / Eyes on Park

10% weightmeasured 80%

87.0 / 100

62 buildings within 25 m of the park edge (9 mid-rise, 53 low-rise, 0 tower); avg edge height 7.4 m (~2 floors); 62.0 buildings per 100 m of 95 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 9 mid-rise edge buildings.

Buildings within 25 m62

Buildings within 50 m62

Avg edge height7.4 m (~2 floors)

Tallest edge building13.9 m

Mid-rise (3 to 7 floors)9

Low-rise (< 3 floors)53

Towers (≥ 13 floors)0

Frontage density62.00 per 100 m perimeter

Mid-rise share of edge14%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter95 m

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

Border Vacuum Risk

10% weightpartial 60%

48.0 risk

Border-vacuum factors within 50 m of the park: Line 2 Bloor-Danforth, Line 2 Bloor-Danforth, 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 (1 types · 2 records)

bench

Nearby active-edge features (80)

rail: Line 2 Bloor-Danforth14 m
rail: Line 2 Bloor-Danforth14 m
parking lot15 m
restaurant: Thay Bar26 m
restaurant: Mary Brown's42 m
retail42 m
restaurant: Mapo Gamjatang42 m
retail: E-Wheels42 m
retail: Sunny Health Spa43 m
restaurant: Korean Village Restaurant43 m
retail: Sis Hair & Beauty44 m
retail: Kimkor44 m
restaurant: Kimsoonrye Soonsal Chicken46 m
retail49 m
retail: Juxtapose Home52 m
retail55 m
highway: Bloor Street West55 m
restaurant: Cé La Vi55 m
restaurant: Yupdduk58 m
retail: Pet Mama59 m
parking lot60 m
retail63 m
highway: Bloor Street West65 m
highway: Bloor Street West67 m
retail: Dessert Fox67 m
retail: Sarang Nails & Beauty67 m
retail: Nice Fade Barber Shop67 m
restaurant: Mama Chef67 m
retail: Hair 101067 m
cafe: NUTTEA67 m
cafe: Kung Fu Tea67 m
retail: My Love Spa68 m
retail: Seaton Vape68 m
cafe: Ave Maria Latin Cafe68 m
retail: Anime Otaku Hobby68 m
cafe: The Alley68 m
retail: Maya Hair Salon68 m
retail: Energy Spa69 m
retail: Photo Signature70 m
retail: Vivita Apothecary & Fassage70 m
retail: Doug Miller Books70 m
retail: Sora Beauty Salon71 m
highway: Bloor Street West71 m
retail: Monography72 m
retail: Julia's Esthetics74 m
restaurant: Grillies74 m
retail: First Kiss Tattoo and Vintage74 m
restaurant: Chungchun75 m
restaurant: The Biryani Walla76 m
retail: Gold Leaf Fruit Market77 m
retail: Gloria Fashion & Gifts79 m
retail: Hanji Gifts79 m
highway: Bloor Street West82 m
restaurant: Jin Dal Lae82 m
restaurant: Hodo Kwaja83 m
retail: Apollo Tours86 m
restaurant: Namaste Indian Cuisine87 m
retail: The Neon Needle87 m
cafe: Ninetails Coffee Bar87 m
restaurant: Daldongnae88 m
retail: Cinderella Hair Salon90 m
retail: H2GOA92 m
retail: Rogers/Fido93 m
highway: Bloor Street West94 m
retail: Tibetan Paper & Handicraft94 m
retail: Risqué Clothing96 m
school: Apollo High School96 m
cafe: Snakes & Lattes99 m
highway: Bloor Street West99 m
retail: Mr. Nonno Barber Shop101 m
cafe: Real Fruit Bubble Tea101 m
parking lot104 m
cafe: Isabella's Mochi Donut105 m
restaurant: Damda105 m
retail: Bloor Fruit Market106 m
retail: Photoism106 m
retail: Trendy Laundromat & Dry Cleaners106 m
retail: Duck Duck Games & Collectibles107 m
retail: Ed's Mercantile109 m
retail: Hair Bank109 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
40th
Edge activation
64th
Connectivity
76th
Amenity diversity
60th
Natural comfort
1th
Enclosure
93th

Most similar parks

Closest in metric space across the five structural dimensions.

Dufferin AmphitheatreUrban Plaza27
Dundas ParketteUrban Plaza38
Yorkminster Park Baptist Church ParkCorridor / Linear Park30
Jesse Ketchum ParkUrban Plaza40
Little Trinity Church LandsUrban Plaza33

Most opposite parks

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

Trca Lands ( 26)Ravine / Naturalized Park27
Toronto ZooWaterfront Park67
Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
Rouge ParkRavine / Naturalized Park28
Mclevin Woods ParkRavine / Naturalized Park49

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 Euclid Avenue 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.

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

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.