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Toronto Parks Atlas
Spadina Road Green — site photograph
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Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Casa Loma (96)confidence moderatereal Toronto data

Spadina Road Green

Urban Plaza, middle of the pack overall (score 34, rank ~47th percentile). Strongest: enclosure; weakest: edge activation.

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

Spadina Road Green scores 33.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily passing-throughpocket meetings

Area · 0.04 ha

Vitality Score
34/100

Weighted across six dimensions · confidence 57%

Data Confidence
33.5 / 100
Citywide
47th
of all 3,273 parks
Among Urban Plaza
31st
same primary typology
Expected for similar parks
36
median in pocket Urban Plaza (n=337)
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 34 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 · p16
-12.5
Amenity Diversity0 · p23
-10.0
Border Vacuum Risk0 (risk)
+5.0
Enclosure / Eyes on Park97 · p100
+4.7
Natural Comfort33 · p16
-2.6
Connectivity45 · p44
-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

Spadina Road Green works because its enclosure score (97) is one of the city's strongest (28 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Spadina Road Green is held back by edge activation (0, bottom quartile)— the surrounding streets carry too few active uses to spill into the park.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (97, top decile).

Jacobs reading

Spadina Road Green 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 (97) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Typology classification

confidence 70%
Urban Plaza

Classified as Urban Plaza: 392 m², paved (0% canopy), 35.0 buildings/100 m

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 2 active uses (transit_stop) and 4 dead/hostile uses (rail, 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%
44.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 13 sidewalk segments within 50 m; 8 street intersections within 100 m; 15 transit stops within a 400 m walk; 0 estimated access points across ~89 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m0
Intersections within 100 m8
Paths/walkways (50 m)0
Sidewalk segments (50 m)13
Transit stops (400 m)15
Estimated entrances0
Edge connections / 100 m perimeter0.00
Park perimeter89 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% weightinferred 36%
32.8 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~916 m; 1 city-mapped trees inside the polygon (1.0/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)916 m
Estimated green100.0%
City-mapped trees inside polygon1
Tree density1.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used11

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

Enclosure / Eyes on Park

10% weightmeasured 80%
97.0 / 100

35 buildings within 25 m of the park edge (28 mid-rise, 7 low-rise, 0 tower); avg edge height 12.3 m (~4 floors); 35.0 buildings per 100 m of 89 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 28 mid-rise edge buildings.

Buildings within 25 m35
Buildings within 50 m35
Avg edge height12.3 m (~4 floors)
Tallest edge building22.4 m
Mid-rise (3–7 floors)28
Low-rise (< 3 floors)7
Towers (≥ 13 floors)0
Frontage density35.00 per 100 m perimeter
Mid-rise share of edge80%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter89 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 (0)

No amenities recorded for this park.

Nearby active-edge features (36)

  • transit stop — Spadina Road49 m
  • parking lot50 m
  • rail82 m
  • transit stop — Spadina Rd at Davenport Rd83 m
  • rail — North Toronto Subdivision86 m
  • rail — North Toronto Subdivision90 m
  • parking lot101 m
  • retail — Bruno Men's Hair Stylists117 m
  • transit stop — Northwest Entrance138 m
  • retail — Modern Laundry & Dry Cleaning139 m
  • restaurant — Krispy Kreme141 m
  • transit stop — Dupont Street143 m
  • parking lot143 m
  • retail — D&D Express Mart146 m
  • transit stop — Dupont St at Spadina Rd146 m
  • transit stop — Dupont146 m
  • retail — Polish Me Nails and Beauty Bar146 m
  • transit stop — Dupont147 m
  • retail — XC Art Restoration147 m
  • restaurant — Subway147 m
  • restaurant — The Backyard Smokehouse148 m
  • parking lot148 m
  • retail152 m
  • cafe — Wey Cup153 m
  • retail — Euphoria Cake and Dessert156 m
  • transit stop — Davenport Rd at Walmer Rd157 m
  • retail — Bete Suk158 m
  • restaurant — Roti Cuisine of India158 m
  • restaurant — Casa Mezcal162 m
  • transit stop — Dupont St at Spadina Rd173 m
  • transit stop — Southeast Entrance173 m
  • transit stop — Dupont Street182 m
  • cafe — Ezra's Pound184 m
  • rail193 m
  • rail196 m
  • rail — North Toronto Subdivision198 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureSpadina Road Green

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    47th
  • Edge activation
    16th
  • Connectivity
    44th
  • Amenity diversity
    23th
  • Natural comfort
    16th
  • Enclosure
    100th

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 Spadina Road Greenmatters. 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.
  • Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
  • 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.