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Trca Lands ( 68) — site photograph
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Waterfront Parkcluster ·Ravine SliversRustic (28)confidence moderatereal Toronto data

Trca Lands ( 68)

Waterfront Park, middle of the pack overall (score 30, rank ~31th percentile). Strongest: natural comfort; weakest: connectivity.

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

Trca Lands ( 68) scores 30.1 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. 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:waterfront recreationlong walks

Area · 1.11 ha

Vitality Score
30/100

Weighted across six dimensions · confidence 59%

Data Confidence
30.1 / 100
Citywide
31st
of all 3,273 parks
Among Waterfront Park
44th
same primary typology
Expected for similar parks
30
median in medium Waterfront Park waterfront (n=126)
Performance gap
+0
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 30 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 · p56
-12.5
Amenity Diversity0 · p64
-10.0
Connectivity28 · p17
-4.4
Natural Comfort70 · p83
+3.0
Border Vacuum Risk24 (risk)
+2.6
Enclosure / Eyes on Park64 · p56
+1.4

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

Trca Lands ( 68) works because its natural comfort score (70) is above average and its amenity diversity (0) is also above-average (it sits inside the ravine system; water is part of the park).

What limits this park

Trca Lands ( 68) is held back by connectivity (28, bottom quartile).

Most distinctive characteristic

Most distinctive feature: exceptionally high natural comfort (70, top quartile).

Jacobs reading

Trca Lands ( 68) is an ecological retreat. The urban-vitality numbers are low because the park exists outside the everyday city — that's the point of it.

Tradeoffs

  • Natural comfort (70) significantly outpaces connectivity (28) — restorative but hard to reach for daily use.
  • The park is enclosed by buildings (64) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Typology classification

confidence 85%
Waterfront Parkalso reads as Ravine / Naturalized Park

Classified as Waterfront Park: 8% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 26% canopy).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 3 active uses (transit_stop, community) and 8 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% weightpartial 65%
28.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 0 sidewalk segments within 50 m; 2 street intersections within 100 m; 13 transit stops within a 400 m walk; 0 estimated access points across ~519 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, transit_osm.

Streets within 25 m4
Intersections within 100 m2
Paths/walkways (50 m)0
Sidewalk segments (50 m)0
Transit stops (400 m)13
Estimated entrances0
Edge connections / 100 m perimeter0.77
Park perimeter519 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% weightmeasured 75%
69.7 / 100

Natural-comfort components for this park: 25.6% estimated tree canopy; 100.0% inside the ravine system; 7.7% water surface. Reading: ravine-cooled. Source coverage: treed_area, ravine, waterbodies. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage25.6%
Canopy area0.28 ha
Inside ravine system100.0%
Water surface inside park7.7%
Nearest water (if outside park)0 m (inside)
Estimated green92.3%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0–100)63.5
Sample points used78

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

Enclosure / Eyes on Park

10% weightmeasured 80%
64.4 / 100

13 buildings within 25 m of the park edge (9 mid-rise, 2 low-rise, 2 tower); avg edge height 24.3 m (~8 floors); 2.5 buildings per 100 m of 519 m perimeter — moderate frontage density; edges lean tall but still framed; 2 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 9 mid-rise edge buildings.

Buildings within 25 m13
Buildings within 50 m13
Avg edge height24.3 m (~8 floors)
Tallest edge building50.7 m
Mid-rise (3–7 floors)9
Low-rise (< 3 floors)2
Towers (≥ 13 floors)2
Frontage density2.50 per 100 m perimeter
Mid-rise share of edge69%
Tower share of edge15%
Blank-edge share (proxy)17%
Park perimeter519 m

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

Border Vacuum Risk

10% weightpartial 60%
24.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they suppress foot traffic and isolate the park from its neighbourhood.

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 (42)

  • parking lot31 m
  • parking lot35 m
  • transit stop36 m
  • community43 m
  • transit stop50 m
  • parking lot51 m
  • parking lot66 m
  • parking lot68 m
  • parking lot76 m
  • parking lot77 m
  • parking lot85 m
  • highway — Highway 400105 m
  • transit stop — Maple Leaf Drive108 m
  • parking lot113 m
  • highway — Black Creek Drive114 m
  • transit stop — Jane Street124 m
  • highway — Highway 400125 m
  • highway — Highway 400126 m
  • highway — Highway 400131 m
  • parking lot135 m
  • retail — Trende Barber Shop137 m
  • retail — Oba Market147 m
  • retail — George's Food Store148 m
  • transit stop — Jane Street151 m
  • highway — Black Creek Drive153 m
  • restaurant — Jasmin's Grill154 m
  • parking lot154 m
  • highway — Black Creek Drive154 m
  • parking lot155 m
  • restaurant — Lola's Catering156 m
  • retail — Cash King159 m
  • retail — All Nation Live Bait161 m
  • transit stop — Church Street162 m
  • cafe — Coffee Pot Cafe163 m
  • retail — Raphael Hair Designers165 m
  • retail — Helen Hair Design & Esthetics167 m
  • retail — Dry Cleaning169 m
  • highway — Highway 400177 m
  • retail — Circle K179 m
  • cafe — Tim Hortons183 m
  • highway — Highway 400191 m
  • restaurant — Pelmo Family Restaurant198 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureTrca Lands ( 68)

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    31th
  • Edge activation
    56th
  • Connectivity
    17th
  • Amenity diversity
    64th
  • Natural comfort
    83th
  • Enclosure
    56th

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 Trca Lands ( 68)matters. 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.

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.