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Toronto Parks Atlas
Sandown Park — site photograph
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Neighbourhood Parkcluster ·Active-edged · exposed parksBirchcliffe-Cliffside (122)confidence moderatereal Toronto data

Sandown Park

Neighbourhood Park, above average overall (score 41, rank ~79th percentile). Strongest: edge activation; weakest: natural comfort.

Photo by hobby fun via Google Places · cached 5/9/2026

Sandown Park scores 40.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily urban life

Area · 1.30 ha

Vitality Score
41/100

Weighted across six dimensions · confidence 68%

Data Confidence
40.9 / 100
Citywide
79th
of all 3,273 parks
Among Neighbourhood Park
71st
same primary typology
Expected for similar parks
37
median in medium Neighbourhood Park (n=363)
Performance gap
+4
raw − expected · context confidence high
typical

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

Street context

Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.

Top-down view

cached 5/9/2026

City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.

Sandown Park — aerial / top-down view

City of Toronto Orthophoto · cot_ortho most-current MapServer

Explain this score

Where did the 41 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 · p71
-7.6
Edge Activation25 · p82
-6.3
Border Vacuum Risk0 (risk)
+5.0
Natural Comfort33 · p16
-2.6
Enclosure / Eyes on Park63 · p49
+1.3
Connectivity56 · p65
+1.1

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

Sandown Park works because its edge activation score (25) is above average and its amenity diversity (12) is also above-average.

What limits this park

Sandown Park is held back by natural comfort (33, bottom quartile)— only 0% canopy means little summer shade.

Most distinctive characteristic

Most distinctive feature: exceptionally low natural comfort (33, bottom quartile).

Jacobs reading

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

Typology classification

confidence 70%
Neighbourhood Park

Classified as Neighbourhood Park: 1.3 ha, framed by 0 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%
25.0 / 100

Within 100 m of the park edge: 2 active uses (transit_stop) and 0 dead/hostile uses (none). 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%
55.5 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 12 sidewalk segments within 50 m; 4 street intersections within 100 m; 17 transit stops within a 400 m walk; 1 estimated access points across ~481 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m8
Intersections within 100 m4
Paths/walkways (50 m)3
Sidewalk segments (50 m)12
Transit stops (400 m)17
Estimated entrances1
Edge connections / 100 m perimeter1.66
Park perimeter481 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 (playground). 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% weightpartial 45%
32.7 / 100

Natural-comfort components for this park: ~1.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1154 m; 2 city-mapped trees inside the polygon (1.5/ha). Reading: exposed. Source coverage: waterbodies, street_trees. 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)1,154 m
Estimated green100.0%
City-mapped trees inside polygon2
Tree density1.5 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used90

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

Enclosure / Eyes on Park

10% weightmeasured 80%
62.7 / 100

132 buildings within 25 m of the park edge (0 mid-rise, 132 low-rise, 0 tower); avg edge height 4.9 m (~2 floors); 27.4 buildings per 100 m of 481 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.

Buildings within 25 m132
Buildings within 50 m132
Avg edge height4.9 m (~2 floors)
Tallest edge building7.9 m
Mid-rise (3–7 floors)0
Low-rise (< 3 floors)132
Towers (≥ 13 floors)0
Frontage density27.42 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter481 m

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

Border Vacuum Risk

10% weightpartial 60%
0.0 risk

Park edges face the city — no significant border vacuum detected.

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 · 1 records)

  • playground

Nearby active-edge features (3)

  • transit stop — Park St at Natal Ave6 m
  • transit stop — Park St at Sharpe St17 m
  • transit stop — Park St at Claremore Ave187 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureSandown Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    79th
  • Edge activation
    82th
  • Connectivity
    65th
  • Amenity diversity
    71th
  • Natural comfort
    16th
  • Enclosure
    49th

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.

high-confidence match
Visitor signal score
53/ 100
52.7 / 100

p72 citywide · p77 within Neighbourhood Park

Volume (saturated)25
Density / ha56
Rating contribution88
Match dampener×1.00
Average rating
★ 4.5
out of 5
Ratings collected
162
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match high (0.96 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.

Human activity signals

Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.

confidence 50%
Overall activity
9/ 100
9.1 / 100
Programming / events
0unknown
Social attention
15real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
29unknown

Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.

Does this score feel accurate?

Your read of Sandown Parkmatters. 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

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.

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.