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Treverton Park — site photograph
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Corridor / Linear Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Ionview (125)confidence moderatereal Toronto data

Treverton Park

Corridor / Linear Park, one of the city's strongest overall (score 51, rank ~96th percentile). Strongest: edge activation; weakest: natural comfort.

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

Treverton Park scores 50.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:walking + cycling routeslinear social use

Area · 1.19 ha

Vitality Score
51/100

Weighted across six dimensions · confidence 72%

Data Confidence
50.5 / 100
Citywide
96th
of all 3,273 parks
Among Corridor / Linear Park
96th
same primary typology
Expected for similar parks
37
median in medium Corridor / Linear Park (n=76)
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.

Explain this score

Where did the 51 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 Diversity21 · p90
-5.8
Border Vacuum Risk0 (risk)
+5.0
Enclosure / Eyes on Park77 · p80
+2.7
Edge Activation40 · p92
-2.5
Connectivity60 · p74
+2.0
Natural Comfort44 · p46
-0.9

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

Treverton Park works because its edge activation score (40) is in the top tier and its amenity diversity (21) is also top decile.

What limits this park

Treverton 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 edge activation (40, top decile).

Jacobs reading

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

Tradeoffs

  • Strong physical conditions (score 51) 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

  • This park is a strong overperformer for its cohort — raw 51 versus an expected 37 for similar parks (medium Corridor / Linear Park) (gap +14).

Typology classification

confidence 75%
Corridor / Linear Parkalso reads as Neighbourhood Park

Classified as Corridor / Linear Park: shape elongation 2.8× a circle of equal area. Secondary read: Neighbourhood Park (1.2 ha, framed by 25 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%
40.0 / 100

Within 100 m of the park edge: 4 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%
59.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 13 sidewalk segments within 50 m; 8 street intersections within 100 m; 19 transit stops within a 400 m walk; 5 estimated access points across ~1,074 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m7
Intersections within 100 m8
Paths/walkways (50 m)3
Sidewalk segments (50 m)13
Transit stops (400 m)19
Estimated entrances5
Edge connections / 100 m perimeter0.65
Park perimeter1,074 m

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

Amenity Diversity

20% weightmeasured 75%
21.0 / 100

2 distinct amenity types in the park (playground, sports_field). 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%
43.8 / 100

Natural-comfort components for this park: 6.2% estimated tree canopy; nearest waterbody ~750 m; 10 city-mapped trees inside the polygon (8.4/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 coverage6.2%
Canopy area0.07 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)750 m
Estimated green100.0%
City-mapped trees inside polygon10
Tree density8.4 / ha
Cover diversity (Shannon, 0–100)33.4
Sample points used81

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

Enclosure / Eyes on Park

10% weightmeasured 80%
77.2 / 100

137 buildings within 25 m of the park edge (25 mid-rise, 112 low-rise, 0 tower); avg edge height 7.0 m (~2 floors); 12.8 buildings per 100 m of 1,074 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 25 mid-rise edge buildings.

Buildings within 25 m137
Buildings within 50 m137
Avg edge height7.0 m (~2 floors)
Tallest edge building29.6 m
Mid-rise (3–7 floors)25
Low-rise (< 3 floors)112
Towers (≥ 13 floors)0
Frontage density12.76 per 100 m perimeter
Mid-rise share of edge18%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter1,074 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 (2 types · 2 records)

  • playground
  • sports field

Nearby active-edge features (12)

  • transit stop — Kennedy Rd at Treverton Dr76 m
  • transit stop — Kennedy Rd at Stratton Ave85 m
  • transit stop — Kennedy Rd at Bertrand ave92 m
  • transit stop — Kennedy Rd at Landseer Rd99 m
  • restaurant — Little Caesars175 m
  • retail — Champion Nails177 m
  • retail — Canna Cabana180 m
  • retail — Hair Joy182 m
  • parking lot183 m
  • restaurant — Hakka Bistro184 m
  • retail — Dollar Tree190 m
  • retail — Urban Sun194 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureTreverton Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    96th
  • Edge activation
    92th
  • Connectivity
    74th
  • Amenity diversity
    90th
  • Natural comfort
    46th
  • Enclosure
    80th

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 Treverton 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.