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Toronto Parks Atlas
Dovercourt Park, site photograph
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Neighbourhood Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Dovercourt-Wallace Emerson-Junction (93)confidence moderate

Dovercourt Park

Neighbourhood Park, in the top tier overall (score 48, rank ~93th percentile). Strongest: amenity diversity; weakest: edge activation.

Photo by Goran taza via Google Places · cached 5/9/2026

Dovercourt Park scores 48 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fordaily urban lifefamilies

Area · 2.46 ha

Vitality Score
48/100

Weighted across six dimensions · confidence 66%

Data Confidence
48.0 / 100
Citywide
93rd
of all 3,273 parks
Among Neighbourhood Park
91st
same primary typology
Expected for similar parks
37
median in medium Neighbourhood Park (n=363)
Performance gap
+11
raw − expected · context confidence high
modest 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.
Dovercourt 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.

Explain this score

Where did the 48 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 · p45
-12.5
Border Vacuum Risk0 (risk)
+5.0
Connectivity70 · p90
+4.0
Enclosure / Eyes on Park79 · p83
+2.9
Amenity Diversity40 · p99
-2.0
Natural Comfort54 · p67
+0.6

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

Dovercourt Park works because its amenity diversity score (40) is one of the city's strongest and its connectivity (70) is also top decile.

What limits this park

Dovercourt Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (40, top decile).

Jacobs reading

Dovercourt Park 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 (79) but the surrounding streets are quiet (edge activation 0): frame without animation.

Performance in context

  • A modest overperformer for its neighbourhood park typology (+11 vs the median in medium Neighbourhood Park).

Typology classification

confidence 70%
Neighbourhood Park

Classified as Neighbourhood Park: 2.5 ha, framed by 13 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 0 active uses (none) and 1 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%
69.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 10 mapped paths/walkways and 19 sidewalk segments within 50 m; 9 street intersections within 100 m; 14 transit stops within a 400 m walk; 8 estimated access points across ~637 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m13
Intersections within 100 m9
Paths/walkways (50 m)10
Sidewalk segments (50 m)19
Transit stops (400 m)14
Estimated entrances8
Edge connections / 100 m perimeter2.04
Park perimeter637 m

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

Amenity Diversity

20% weightmeasured 75%
39.8 / 100

5 distinct amenity types in the park (picnic, playground, sports_field, tennis, washroom). 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% weightinferred 30%
54.2 / 100

Natural-comfort components for this park: ~28.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 99 city-mapped trees inside the polygon (40.3/ha). Reading: partially shaded. Source coverage: 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)1,500 m
Estimated green100.0%
City-mapped trees inside polygon99
Tree density40.3 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used172

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

Enclosure / Eyes on Park

10% weightmeasured 80%
79.4 / 100

210 buildings within 25 m of the park edge (13 mid-rise, 197 low-rise, 0 tower); avg edge height 7.0 m (~2 floors); 33.0 buildings per 100 m of 637 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 13 mid-rise edge buildings.

Buildings within 25 m210
Buildings within 50 m210
Avg edge height7.0 m (~2 floors)
Tallest edge building10.8 m
Mid-rise (3 to 7 floors)13
Low-rise (< 3 floors)197
Towers (≥ 13 floors)0
Frontage density32.96 per 100 m perimeter
Mid-rise share of edge6%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter637 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 (5 types · 5 records)

  • picnic
  • playground
  • sports field
  • tennis
  • washroom

Nearby active-edge features (15)

  • parking lot97 m
  • transit stop: Shanly Street128 m
  • retail: Progress Bakery131 m
  • retail: Santana's Bakehouse (closed)139 m
  • restaurant: Masa Deli141 m
  • retail: Frank Tailor144 m
  • restaurant: Hawaii Bar 989147 m
  • retail: Sun Shine Variety147 m
  • transit stop: Dovercourt Rd at Hallam St148 m
  • transit stop: Shanly Street163 m
  • retail: 77 Food Market169 m
  • restaurant: San Wich171 m
  • restaurant: South Pacific Chinese171 m
  • transit stop: Dovercourt Rd at Hallam St171 m
  • retail: Dovercourt Coin Laundry181 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureDovercourt 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
    93th
  • Edge activation
    45th
  • Connectivity
    90th
  • Amenity diversity
    99th
  • Natural comfort
    67th
  • Enclosure
    83th

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 Dovercourt 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
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.

Data sources

real Toronto data
  • 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.