Waterfront Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Bayview Village (52)confidence moderatereal Toronto data

East Don Parkland

Waterfront Park, middle of the pack overall (score 32, rank ~37th percentile). Strongest: connectivity; weakest: edge activation.

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

East Don Parkland scores 31.5 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:waterfront recreationlong walks

Area · 158.90 ha

Vitality Score

32/100

Weighted across six dimensions · confidence 63%

Data Confidence

31.5 / 100

Citywide

38th

of all 3,273 parks

Among Waterfront Park

53rd

same primary typology

Expected for similar parks

median in very large Waterfront Park waterfront (n=44)

Performance gap

-3

raw − expected · context confidence high

typical

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

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 Activation0 · p7

-12.5

Amenity Diversity0 · p10

-10.0

Connectivity79 · p98

+5.7

Border Vacuum Risk100 (risk)

-5.0

Natural Comfort65 · p79

+2.2

Enclosure / Eyes on Park60 · p34

+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

East Don Parkland works because its connectivity score (79) is one of the city's strongest and its natural comfort (65) is also top quartile (75 transit stops sit within a 400 m walk; 117 intersections fall within 100 m of the edge).

What limits this park

East Don Parkland is held back by edge activation (0, bottom quartile)— the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (79, 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 (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 85%

Waterfront Parkalso reads as Ravine / Naturalized Park

Classified as Waterfront Park: 7% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 19% canopy).

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 34 active uses (restaurant, retail, transit_stop, school) and 27 dead/hostile uses (parking_lot, rail, highway). 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%

78.7 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 99 mapped paths/walkways and 341 sidewalk segments within 50 m; 117 street intersections within 100 m; 75 transit stops within a 400 m walk; 68 estimated access points across ~22,527 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m51

Intersections within 100 m117

Paths/walkways (50 m)99

Sidewalk segments (50 m)341

Transit stops (400 m)75

Estimated entrances68

Edge connections / 100 m perimeter0.23

Park perimeter22,527 m

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

Amenity Diversity

20% weightinferred 30%

0.0 / 100

No amenities recorded — score is 0 until inventory is loaded.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags

Natural Comfort

15% weightmeasured 75%

64.9 / 100

Natural-comfort components for this park: 19.0% estimated tree canopy; 99.8% inside the ravine system; 6.6% water surface; 80 city-mapped trees inside the polygon (0.5/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 coverage19.0%

Canopy area30.19 ha

Inside ravine system99.8%

Water surface inside park6.6%

Nearest water (if outside park)0 m (inside)

Estimated green93.4%

City-mapped trees inside polygon80

Tree density0.5 / ha

Cover diversity (Shannon, 0–100)56.7

Sample points used800

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

Enclosure / Eyes on Park

10% weightmeasured 80%

59.8 / 100

1123 buildings within 25 m of the park edge (37 mid-rise, 1078 low-rise, 8 tower); avg edge height 6.2 m (~2 floors); 5.0 buildings per 100 m of 22,527 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 8 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 37 mid-rise edge buildings.

Buildings within 25 m1123

Buildings within 50 m1123

Avg edge height6.2 m (~2 floors)

Tallest edge building64.0 m

Mid-rise (3–7 floors)37

Low-rise (< 3 floors)1078

Towers (≥ 13 floors)8

Frontage density4.99 per 100 m perimeter

Mid-rise share of edge3%

Tower share of edge1%

Blank-edge share (proxy)0%

Park perimeter22,527 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: parking_lot, parking_lot, Chiropractic College Parking, parking_lot, GO Transit - Bala Subdivision, Line 4 Sheppard, parking_lot, parking_lot, GO Transit - Bala Subdivision, parking_lot, Line 4 Sheppard, GO Transit - Bala Subdivision, 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 (0)

No amenities recorded for this park.

Nearby active-edge features (80)

rail — Line 4 Sheppard0 m
parking lot0 m
rail — Line 4 Sheppard0 m
rail — GO Transit - Bala Subdivision0 m
transit stop — Leslie Street3 m
transit stop — Buchan Court4 m
transit stop — 636 Finch Avenue East7 m
transit stop — Marowyne Drive7 m
transit stop — Sheppard Avenue East8 m
parking lot19 m
rail — GO Transit - Bala Subdivision27 m
rail — GO Transit - Bala Subdivision28 m
transit stop — Pineway Boulevard29 m
parking lot30 m
transit stop — 636 Finch Avenue East32 m
transit stop — Marowyne Drive33 m
transit stop — Sheppard Avenue East North Side33 m
transit stop — Sheppard Avenue East33 m
transit stop — Alamosa Drive36 m
retail — L-Mart Oriental Food Market36 m
transit stop — Buchan Court37 m
transit stop — Cummer Ave at Craigmont Dr38 m
parking lot — Chiropractic College Parking39 m
parking lot39 m
transit stop — Francine Drive39 m
transit stop — Leslie Street40 m
transit stop — Cummer Ave at Beardmore Cres41 m
parking lot43 m
retail — Bayview Foods Variety45 m
parking lot46 m
parking lot46 m
transit stop — Francine Drive47 m
retail — DAC Group53 m
parking lot55 m
restaurant — Ginza Sushi55 m
parking lot56 m
transit stop — Cummer Ave at Snowcrest Ave60 m
transit stop — 1200 Sheppard Avenue East62 m
parking lot62 m
parking lot63 m
transit stop — Leslie St65 m
restaurant — Sun Star Chinese65 m
transit stop — Leslie St66 m
parking lot66 m
transit stop — Sheppard Ave at Old Leslie St67 m
school — Forest Grove Montessori School69 m
highway — Highway 401 Collector69 m
transit stop — Cummer Ave at Craigmont Dr73 m
transit stop — Page Avenue77 m
parking lot77 m
transit stop — Maris Shepway East Side77 m
parking lot77 m
parking lot79 m
transit stop — Leslie79 m
parking lot80 m
transit stop — Leslie87 m
highway — Highway 401 Express87 m
parking lot89 m
parking lot89 m
parking lot91 m
transit stop — Page Avenue97 m
transit stop — Sheppard Ave at Old Leslie St102 m
highway — Highway 401 Express103 m
parking lot103 m
rail — GO Transit - Bala Subdivision104 m
transit stop — Corning Road108 m
parking lot109 m
parking lot111 m
parking lot112 m
transit stop — Leslie Street at Steeles Avenue East113 m
transit stop — Maris Shepway116 m
parking lot117 m
parking lot120 m
highway — Highway 401 Collector121 m
transit stop — Sheppard Avenue Entrance122 m
transit stop — North York General Hospital - Main Entrance124 m
highway — Highway 401 Collector126 m
transit stop — Corning Road130 m
transit stop — Nymark Avenue135 m
parking lot — Hospital Parking136 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
37th
Edge activation
7th
Connectivity
98th
Amenity diversity
10th
Natural comfort
79th
Enclosure
34th

Most similar parks

Closest in metric space across the five structural dimensions.

St. Clair RavineWaterfront Park40
Park Drive Reservation LandsRavine / Naturalized Park42
York Mills ParkWaterfront Park31
Islington Golf ClubRavine / Naturalized Park34
Park Lawn CemeteryOther30

Most opposite parks

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

Joseph Burr Tyrrell ParkUrban Plaza50
Bernard Avenue Road AllowanceUrban Plaza54
Queen'S Quay Traffic IslandWaterfront Park49
Leslie Grove ParkParkette68
Danforth Gardens ParkParkette42

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 Parklandmatters. 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.
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.