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Wanless Park — site photograph
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Athletic / Recreation Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Lawrence Park North (105)confidence moderatereal Toronto data

Wanless Park

Athletic / Recreation Park, one of the city's strongest overall (score 52, rank ~97th percentile). Strongest: amenity diversity; weakest: natural comfort.

Photo by Bart Hurt via Google Places · cached 5/9/2026

Wanless Park scores 52.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (25). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:organised sportactive recreation

Area · 3.13 ha

Vitality Score
52/100

Weighted across six dimensions · confidence 72%

Data Confidence
52.3 / 100
Citywide
97th
of all 3,273 parks
Among Athletic / Recreation Park
89th
same primary typology
Expected for similar parks
42
median in medium Athletic / Recreation Park (n=68)
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.

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.

Wanless Park — aerial / top-down view

City of Toronto Orthophoto · cot_ortho most-current MapServer

Explain this score

Where did the 52 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 Activation25 · p83
-6.3
Border Vacuum Risk0 (risk)
+5.0
Connectivity66 · p84
+3.2
Enclosure / Eyes on Park81 · p84
+3.1
Natural Comfort40 · p37
-1.5
Amenity Diversity44 · p100
-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

Wanless Park works because its amenity diversity score (44) is one of the city's strongest and its connectivity (66) is also top quartile (6 distinct amenity types support different kinds of use).

What limits this park

Wanless 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 (44, top decile).

Jacobs reading

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

Tradeoffs

  • Connectivity (66) significantly outpaces natural comfort (40) — well placed in the city but offers little shade or ecological respite.
  • Strong physical conditions (score 52) but weak observed activity signals (7) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.

Performance in context

  • A modest overperformer for its athletic / recreation park typology (+11 vs the median in medium Athletic / Recreation Park).

Typology classification

confidence 75%
Athletic / Recreation Parkalso reads as Neighbourhood Park

Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, sports_field, tennis). Secondary read: Neighbourhood Park (3.1 ha, framed by 22 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%
66.0 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 23 sidewalk segments within 50 m; 14 street intersections within 100 m; 16 transit stops within a 400 m walk; 2 estimated access points across ~760 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m17
Intersections within 100 m14
Paths/walkways (50 m)2
Sidewalk segments (50 m)23
Transit stops (400 m)16
Estimated entrances2
Edge connections / 100 m perimeter2.24
Park perimeter760 m

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

Amenity Diversity

20% weightmeasured 75%
44.3 / 100

6 distinct amenity types in the park (basketball, 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% weightmeasured 75%
39.9 / 100

Natural-comfort components for this park: ~4.2% effective canopy (1.4% from contiguous tree polygons + scattered tree density); nearest waterbody ~534 m; 19 city-mapped trees inside the polygon (6.1/ha). Reading: exposed. Source coverage: treed_area, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage1.4%
Canopy area0.04 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)534 m
Estimated green100.0%
City-mapped trees inside polygon19
Tree density6.1 / ha
Cover diversity (Shannon, 0–100)10.4
Sample points used220

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

Enclosure / Eyes on Park

10% weightmeasured 80%
80.5 / 100

191 buildings within 25 m of the park edge (22 mid-rise, 169 low-rise, 0 tower); avg edge height 7.0 m (~2 floors); 25.1 buildings per 100 m of 760 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 22 mid-rise edge buildings.

Buildings within 25 m191
Buildings within 50 m191
Avg edge height7.0 m (~2 floors)
Tallest edge building14.2 m
Mid-rise (3–7 floors)22
Low-rise (< 3 floors)169
Towers (≥ 13 floors)0
Frontage density25.13 per 100 m perimeter
Mid-rise share of edge12%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter760 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 (6 types · 6 records)

  • basketball
  • picnic
  • playground
  • sports field
  • tennis
  • washroom

Nearby active-edge features (6)

  • transit stop — Wanless Crescent (West)61 m
  • transit stop — Wanless Crescent (West)86 m
  • transit stop — Wanless Crescent (East)104 m
  • transit stop — Wanless Crescent (East)121 m
  • transit stop — Ronan Avenue159 m
  • transit stop — Ronan Avenue189 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureWanless Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    97th
  • Edge activation
    83th
  • Connectivity
    84th
  • Amenity diversity
    100th
  • Natural comfort
    37th
  • Enclosure
    84th

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

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
7/ 100
6.6 / 100
Programming / events
0unknown
Social attention
8real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
15unknown

Activity reading: no inputs available. The strongest signal is consistent rhythm across the day. Source coverage: google-places.

Does this score feel accurate?

Your read of Wanless 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.