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Toronto Parks Atlas
Woodbine Beach Park, site photograph
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Waterfront ParkType:Walkable Mid-Rise Neighbourhood Park (large-scale)South Riverdale

Woodbine Beach Park

Waterfront Park, one of the city's strongest overall (score 53, rank ~96th percentile). Strongest: amenity diversity; weakest: enclosure.

Photo by Brian Jakovina via Google Places · cached 5/9/2026

Data updated

Woodbine Beach Park scores 53.1 / 100. Strongest dimensions: connectivity and amenity diversity. Weakest: natural comfort (35.6). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forwaterfront recreationlong walks

Area · 26.01 ha

What's here

Recreation
PlaygroundFitnessPoolGardenVolleyball
Facilities
WashroomDrinking waterPicnic areaShelterBenches

Getting around

Paths

2.8 km of mapped path, 99% paved.

No steps mapped on the path network.

Seating

Not enough mapped seating to assess (4 benches mapped).

Arrival

Parking inside the park. None of the 2 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
53/100

Weighted across six dimensions · confidence 72%

Data Confidence
53.1 / 100

Data confidence: moderate

Citywide
96th
of all 3,752 parks
Among Waterfront Park
98th
same primary typology
Expected for similar parks
40
median in very large Waterfront Park waterfront (n=40)
Performance gap
+14
raw − expected · context confidence high
strong overperformer

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. Connectivity, transit, and edge conditions read at a glance.
Woodbine Beach 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.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 53 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
Border Vacuum Risk12 (risk)
+3.8
Connectivity67 · p87
+3.4
Edge Activation41 · p93
-2.2
Natural Comfort36 · p26
-2.2
Amenity Diversity53 · p98
+0.5
Enclosure / Eyes on Park47 · p10
-0.3

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

Woodbine Beach Park works because its amenity diversity score (53) is one of the city's strongest and its edge activation (41) is also top decile (10 distinct amenity types support different kinds of use).

What limits this park

Woodbine Beach Park is held back by enclosure (47, bottom quartile).

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (53, top decile).

Jacobs reading

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

Tradeoffs

  • Connectivity (67) significantly outpaces natural comfort (36): well placed in the city but offers little shade or ecological respite.

Performance in context

  • This park is a strong overperformer for its cohort: raw 53 versus an expected 40 for similar parks (very large Waterfront Park waterfront) (gap +14).

Typology classification

confidence 75%
Waterfront Parkalso reads as Destination Park

Classified as Waterfront Park: name suggests waterfront and nearest waterbody is ~0 m away. Secondary read: Destination Park (26 ha, 10 amenity types, connectivity 67 / comfort 36).

Edge Activation

25% weightpartial 60%
41.1 / 100

Within 100 m of the park edge: 8 active uses (restaurant, transit_stop) and 2 dead/hostile uses (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%
67.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 73 mapped paths/walkways and 86 sidewalk segments within 50 m; 11 street intersections within 100 m; 4 transit stops within a 400 m walk; 18 estimated access points across ~2,162 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m9
Intersections within 100 m11
Paths/walkways (50 m)73
Sidewalk segments (50 m)86
Transit stops (400 m)4
Estimated entrances18
Edge connections / 100 m perimeter0.42
Park perimeter2,162 m

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

Amenity Diversity

20% weightmeasured 75%
52.6 / 100

10 distinct amenity types in the park (fitness, picnic, playground, washroom, bench, drinking_water, …). 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%
35.6 / 100

Natural-comfort components for this park: ~2.1% effective canopy (0.7% from contiguous tree polygons + scattered tree density); 3.4% water surface; 79 city-mapped trees inside the polygon (3.0/ha). Reading: water-cooled. Source coverage: treed_area, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.7%
Canopy area0.18 ha
Inside ravine system0.0%
Water surface inside park3.4%
Nearest water (if outside park)0 m (inside)
Estimated green96.6%
City-mapped trees inside polygon79
Tree density3.0 / ha
Cover diversity (Shannon, 0 to 100)17.3
Sample points used291

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

Enclosure / Eyes on Park

10% weightmeasured 80%
47.0 / 100

27 buildings within 25 m of the park edge (7 mid-rise, 20 low-rise, 0 tower); avg edge height 7.9 m (~3 floors); 1.2 buildings per 100 m of 2,162 m perimeter (thin frontage with significant blank-edge share); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 7 mid-rise edge buildings.

Buildings within 25 m27
Buildings within 50 m27
Avg edge height7.9 m (~3 floors)
Tallest edge building14.6 m
Mid-rise (3 to 7 floors)7
Low-rise (< 3 floors)20
Towers (≥ 13 floors)0
Frontage density1.25 per 100 m perimeter
Mid-rise share of edge26%
Tower share of edge0%
Blank-edge share (proxy)58%
Park perimeter2,162 m

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

Border Vacuum Risk

10% weightpartial 60%
12.0 risk

Border-vacuum factors within 50 m of the park: 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 (10 types · 120 records)

  • fitness
  • picnic
  • playground
  • washroom
  • bench
  • drinking water
  • garden
  • pool
  • shelter
  • volleyball

Nearby active-edge features (14)

  • restaurant: GG’s0 m
  • parking lot0 m
  • transit stop: Joseph Duggan Road0 m
  • transit stop: Woodbine Beach Loop0 m
  • restaurant: Boardwalk Cafe0 m
  • restaurant: Booster Juice0 m
  • transit stop: 1816 Lake Shore Boulevard East21 m
  • restaurant: Pizza Pizza28 m
  • parking lot79 m
  • transit stop: Kewbeach Avenue95 m
  • highway: Emdaabiimok Avenue161 m
  • highway: Emdaabiimok Avenue166 m
  • highway: Lake Shore Boulevard East184 m
  • highway: Lake Shore Boulevard East188 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureWoodbine Beach Park
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
    96th
  • Edge activation
    93th
  • Connectivity
    87th
  • Amenity diversity
    98th
  • Natural comfort
    26th
  • Enclosure
    10th

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.

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.

“Curved sandy strip with a playground, trails & fitness equipment, plus an Olympic-sized pool nearby.” (Google editorial summary)

Visitor signal score76 / 100
76.4 / 100

p93 citywide · p88 within Waterfront Park

Volume (saturated)84
Density / ha50
Rating contribution93
Match dampener×1.00
Average rating
★ 4.7
out of 5
Ratings collected
2,622
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match unverified (0.00 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 Woodbine Beach Park 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.
  • Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
  • Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.

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.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.