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Toronto Parks Atlas
Eglinton Flats, site photograph
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Ravine / Naturalized Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Mount Dennis (115)confidence moderate

Eglinton Flats

Ravine / Naturalized Park, middle of the pack overall (score 37, rank ~60th percentile). Strongest: amenity diversity; weakest: edge activation.

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

Eglinton Flats scores 36.8 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forescape into nature

Area · 19.20 ha

What's here

Recreation
PlaygroundSports fieldTennis
Facilities
WashroomDrinking waterPicnic areaBenches
Vitality Score
37/100

Weighted across six dimensions · confidence 72%

Data Confidence
36.8 / 100
Citywide
60th
of all 3,788 parks
Among Ravine / Naturalized Park
63rd
same primary typology
Expected for similar parks
37
median in large Ravine / Naturalized Park ravine (n=127)
Performance gap
+0
raw − expected · context confidence high
typical

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

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Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 37 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 · p43
-12.5
Border Vacuum Risk100 (risk)
-5.0
Connectivity66 · p86
+3.2
Enclosure / Eyes on Park66 · p63
+1.6
Amenity Diversity47 · p96
-0.6
Natural Comfort50 · p64
+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

Eglinton Flats works because its amenity diversity score (47) is one of the city's strongest and its connectivity (66) is also top quartile (7 distinct amenity types support different kinds of use).

What limits this park

Eglinton Flats's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 100.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (47, top decile).

Jacobs reading

Eglinton Flats 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 (66) but the surrounding streets are quiet (edge activation 0): frame without animation.
  • High connectivity coexists with high border-vacuum risk (100): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Destination Park

Classified as Ravine / Naturalized Park: 100% ravine overlap, 2% canopy. Secondary read: Destination Park (19 ha, 7 amenity types, connectivity 66 / comfort 50).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 15 active uses (transit_stop) and 19 dead/hostile uses (highway, 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%
66.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 9 mapped paths/walkways and 40 sidewalk segments within 50 m; 11 street intersections within 100 m; 39 transit stops within a 400 m walk; 1 estimated access points across ~2,119 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m10
Intersections within 100 m11
Paths/walkways (50 m)9
Sidewalk segments (50 m)40
Transit stops (400 m)39
Estimated entrances1
Edge connections / 100 m perimeter0.47
Park perimeter2,119 m

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

Amenity Diversity

20% weightmeasured 75%
47.2 / 100

7 distinct amenity types in the park (playground, tennis, washroom, bench, drinking_water, picnic, …). 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% weightmeasured 75%
50.3 / 100

Natural-comfort components for this park: ~4.7% effective canopy (2.3% from contiguous tree polygons + scattered tree density); 100.0% inside the ravine system; nearest waterbody ~404 m; 128 city-mapped trees inside the polygon (6.7/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage2.3%
Canopy area0.43 ha
Inside ravine system100.0%
Water surface inside park0.0%
Nearest water (if outside park)404 m
Estimated green100.0%
City-mapped trees inside polygon128
Tree density6.7 / ha
Cover diversity (Shannon, 0 to 100)15.3
Sample points used221

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

Enclosure / Eyes on Park

10% weightmeasured 80%
65.9 / 100

65 buildings within 25 m of the park edge (3 mid-rise, 52 low-rise, 10 tower); avg edge height 15.2 m (~5 floors); 3.1 buildings per 100 m of 2,119 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 10 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 3 mid-rise edge buildings.

Buildings within 25 m65
Buildings within 50 m65
Avg edge height15.2 m (~5 floors)
Tallest edge building70.3 m
Mid-rise (3 to 7 floors)3
Low-rise (< 3 floors)52
Towers (≥ 13 floors)10
Frontage density3.07 per 100 m perimeter
Mid-rise share of edge5%
Tower share of edge15%
Blank-edge share (proxy)0%
Park perimeter2,119 m

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

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: Eglinton Avenue West, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, Eglinton Avenue West, Eglinton Avenue West, Eglinton Avenue West, Eglinton Avenue West. 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 (7 types · 23 records)

  • playground
  • tennis
  • washroom
  • bench
  • drinking water
  • picnic
  • sports field

Nearby active-edge features (49)

  • parking lot0 m
  • transit stop: Jane Street West Side3 m
  • highway: Eglinton Avenue West5 m
  • parking lot8 m
  • transit stop: 120 Emmett Ave at Roadway to West Park Healthcare Centre12 m
  • highway: Eglinton Avenue West12 m
  • parking lot14 m
  • transit stop: Emmett Avenue17 m
  • highway: Eglinton Avenue West17 m
  • highway: Eglinton Avenue West18 m
  • transit stop: Emmett Avenue at Eglinton Avenue West18 m
  • parking lot24 m
  • highway: Eglinton Avenue West24 m
  • parking lot27 m
  • transit stop: Jane Street34 m
  • transit stop: Eglinton Avenue West34 m
  • parking lot36 m
  • transit stop: Jane Street45 m
  • parking lot48 m
  • transit stop: Eglinton Avenue West53 m
  • transit stop: Emmett Avenue54 m
  • transit stop: 85 Emmett Avenue59 m
  • highway: Eglinton Avenue West60 m
  • highway: Eglinton Avenue West66 m
  • highway: Eglinton Avenue West66 m
  • transit stop: 106 Emmett Avenue68 m
  • parking lot70 m
  • transit stop: Eglinton Avenue West at Jane Street East Side75 m
  • transit stop: Goldwin Avenue90 m
  • transit stop: Eglinton Avenue West at Walkway to Emmett Avenue93 m
  • parking lot94 m
  • highway: Eglinton Avenue West96 m
  • transit stop: Cornell Avenue96 m
  • parking lot99 m
  • highway: Eglinton Avenue West110 m
  • parking lot110 m
  • highway: Eglinton Avenue West113 m
  • parking lot123 m
  • parking lot125 m
  • parking lot125 m
  • highway: Eglinton Avenue West128 m
  • parking lot139 m
  • highway: Eglinton Avenue West144 m
  • transit stop: Verona Avenue151 m
  • highway: Eglinton Avenue West164 m
  • parking lot174 m
  • parking lot181 m
  • transit stop: Verona Avenue183 m
  • highway: Eglinton Avenue West188 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureEglinton Flats
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
    60th
  • Edge activation
    43th
  • Connectivity
    86th
  • Amenity diversity
    96th
  • Natural comfort
    64th
  • Enclosure
    63th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

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

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 Eglinton Flatsmatters. 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.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all, 5 = strongly. Skip the ones you don't feel sure about. Aggregated only, no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important
70%

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.
  • 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.