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Toronto Parks Atlas
East Don Parkland, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (ravine-leaning)Bayview Woods-Steeles

East Don Parkland

Ravine / Naturalized Park, above average overall (score 43, rank ~81th percentile). Strongest: connectivity; weakest: enclosure.

Photo by Sikander Iqbal, CC BY-SA 4.0 via Wikimedia Commons

Data updated

East Don Parkland scores 43.3 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: amenity diversity (11.9). Border-vacuum risk is elevated (54). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forescape into nature

Area · 119.55 ha

What's here

Facilities
Benches

Getting around

Paths

9.2 km of mapped path, 89% paved.

2 flights of steps on the mapped network.

Seating

Not enough mapped seating to assess (6 benches mapped).

Arrival

Nearest parking 44 m away. None of the 6 nearby lots records whether it has accessible spaces.

Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.

Vitality Score
43/100

Weighted across six dimensions · confidence 72%

Data Confidence
43.3 / 100

Data confidence: moderate

Citywide
81st
of all 3,753 parks
Among Ravine / Naturalized Park
85th
same primary typology
Expected for similar parks
38
median in very large Ravine / Naturalized Park ravine (n=37)
Performance gap
+5
raw − expected · context confidence high
typical

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

More photographs of East Don Parkland

32 more, from Wikimedia Commons and from people who sent them in. Each is someone else’s work: select one to see who took it and the licence it carries.

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

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 43 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 · p57
-7.6
Edge Activation23 · p79
-6.7
Connectivity76 · p97
+5.2
Natural Comfort62 · p79
+1.8
Enclosure / Eyes on Park59 · p38
+0.9
Border Vacuum Risk54 (risk)
-0.4

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

East Don Parkland works because its connectivity score (76) is one of the city's strongest and its edge activation (23) is also top quartile (23 transit stops sit within a 400 m walk; 71 intersections fall within 100 m of the edge).

What limits this park

East Don Parkland's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 54.

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (76, top decile).

Jacobs reading

East Don Parkland sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.

Tradeoffs

  • High connectivity coexists with high border-vacuum risk (54): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Waterfront Park

Classified as Ravine / Naturalized Park: 98% ravine overlap, 17% canopy. Secondary read: Waterfront Park (nearest waterbody within ~0 m).

Edge Activation

25% weightpartial 60%
23.4 / 100

Within 100 m of the park edge: 15 active uses (restaurant, transit_stop, cafe) and 6 dead/hostile uses (parking_lot, rail). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.

Source: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
76.0 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 62 mapped paths/walkways and 168 sidewalk segments within 50 m; 71 street intersections within 100 m; 2 subway or GO stations, 21 bus stops within a 400 m walk; 37 estimated access points across ~12,135 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m24
Intersections within 100 m71
Paths/walkways (50 m)62
Sidewalk segments (50 m)168
Transit stops (400 m)23 (2 subway/GO, 0 streetcar/LRT, 21 bus)
Estimated entrances37
Edge connections / 100 m perimeter0.20
Park perimeter12,135 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightmeasured 75%
11.9 / 100

1 distinct amenity types in the park (bench). Diversity 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. All data sources.

Natural Comfort

15% weightmeasured 75%
62.1 / 100

Natural-comfort components for this park: 16.5% estimated tree canopy; 98.2% inside the ravine system; 4.2% water surface; 36 city-mapped trees inside the polygon (0.3/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 coverage16.5%
Canopy area19.72 ha
Inside ravine system98.2%
Water surface inside park4.2%
Nearest water (if outside park)0 m (inside)
Estimated green95.8%
City-mapped trees inside polygon36
Tree density0.3 / ha
Cover diversity (Shannon, 0 to 100)50.2
Sample points used800

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%
59.2 / 100

790 buildings within 25 m of the park edge (10 mid-rise, 780 low-rise, 0 tower); avg edge height 5.5 m (~2 floors); 6.5 buildings per 100 m of 12,135 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 10 mid-rise edge buildings.

Buildings within 25 m790
Buildings within 50 m790
Avg edge height5.5 m (~2 floors)
Tallest edge building14.8 m
Mid-rise (3 to 7 floors)10
Low-rise (< 3 floors)780
Towers (≥ 13 floors)0
Frontage density6.51 per 100 m perimeter
Mid-rise share of edge1%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter12,135 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

Border Vacuum Risk

10% weightpartial 60%
54.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, Chiropractic College Parking, parking_lot, GO Transit - Bala Subdivision. 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: OpenStreetMap: highways, rail, parking. All data sources.

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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.

Amenities (1 types · 6 records)

  • bench

Nearby active-edge features (33)

  • rail: GO Transit - Bala Subdivision0 m
  • transit stop: 636 Finch Avenue East3 m
  • transit stop: 636 Finch Avenue East27 m
  • transit stop: Cummer Ave at Craigmont Dr37 m
  • transit stop: Francine Drive40 m
  • parking lot44 m
  • parking lot: Chiropractic College Parking48 m
  • parking lot49 m
  • cafe: Cafe Maxim's50 m
  • transit stop: Alamosa Drive56 m
  • transit stop: Francine Drive60 m
  • transit stop: Page Avenue63 m
  • transit stop: Cummer Ave at Snowcrest Ave65 m
  • transit stop: Cummer Ave at Craigmont Dr67 m
  • restaurant: Sun Star Chinese70 m
  • restaurant: Cheeky Chat Eatery74 m
  • parking lot76 m
  • transit stop: Beardmore Avenue78 m
  • rail: GO Transit - Bala Subdivision78 m
  • transit stop: Pineway Boulevard79 m
  • transit stop: Page Avenue80 m
  • parking lot116 m
  • transit stop: Leslie Street at Steeles Avenue East127 m
  • transit stop: Leslie St at Cummer Ave148 m
  • transit stop: Cummer Ave at Leslie St168 m
  • transit stop: Cummer Ave at Pineway Blvd170 m
  • transit stop: Leslie Street at Steeles Avenue East172 m
  • transit stop: McNicoll Ave at Leslie St175 m
  • parking lot180 m
  • transit stop: Leslie St at McNicoll Ave185 m
  • transit stop: Steeles Avenue at Leslie Street186 m
  • rail: GO Transit - Bala Subdivision187 m
  • transit stop: Pineway Boulevard East Side194 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureEast Don Parkland
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
    81th
  • Edge activation
    79th
  • Connectivity
    97th
  • Amenity diversity
    57th
  • Natural comfort
    79th
  • Enclosure
    38th

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 East Don Parkland matters. 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: Green Spaces
    Polygon boundaries, official names, land classes. 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.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.