Ravine / Naturalized Parkcluster ·Underperforming / Leftover Spaces (enclosure-leaning)Edenbridge-Humber Valley (9)confidence moderatereal Toronto data

Trca Lands ( 48)

Ravine / Naturalized Park, near the bottom of the city overall (score 24, rank ~9th percentile). Strongest: enclosure; weakest: connectivity.

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

Trca Lands ( 48) scores 23.6 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. 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:escape into nature

Area · 0.05 ha

Vitality Score

24/100

Weighted across six dimensions · confidence 53%

Data Confidence

23.6 / 100

Citywide

9th

of all 3,273 parks

Among Ravine / Naturalized Park

9th

same primary typology

Expected for similar parks

median in pocket Ravine / Naturalized Park ravine (n=252)

Performance gap

-9

raw − expected · context confidence high

modest underperformer

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Explain this score

Where did the 24 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 Activation1 · p64

-12.3

Amenity Diversity0 · p43

-10.0

Connectivity12 · p3

-7.7

Enclosure / Eyes on Park81 · p85

+3.1

Border Vacuum Risk24 (risk)

+2.6

Natural Comfort35 · p24

-2.2

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 ( 48) works because its enclosure score (81) is above average and its edge activation (1) is also above-average (7 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Trca Lands ( 48) is held back by connectivity (12, bottom quartile).

Most distinctive characteristic

Most distinctive feature: exceptionally low connectivity (12, bottom quartile).

Jacobs reading

Trca Lands ( 48) is currently underperforming on both axes — neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

Tradeoffs

The park is enclosed by buildings (81) but the surrounding streets are quiet (edge activation 1) — frame without animation.

Performance in context

Reads as a modest underperformer relative to comparable parks (gap -9; cohort: pocket Ravine / Naturalized Park ravine).

Typology classification

confidence 75%

Ravine / Naturalized Parkalso reads as Urban Plaza

Classified as Ravine / Naturalized Park: 100% ravine overlap, 0% canopy. Secondary read: Urban Plaza (524 m², paved (0% canopy), 10.7 buildings/100 m).

Edge Activation

25% weightpartial 60%

1.0 / 100

Within 100 m of the park edge: 2 active uses (transit_stop, retail) and 3 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%

11.7 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 0 sidewalk segments within 50 m; 1 street intersections within 100 m; 4 transit stops within a 400 m walk; 0 estimated access points across ~103 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, transit_osm.

Streets within 25 m0

Intersections within 100 m1

Paths/walkways (50 m)0

Sidewalk segments (50 m)0

Transit stops (400 m)4

Estimated entrances0

Edge connections / 100 m perimeter0.00

Park perimeter103 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%

35.4 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; 100.0% inside the ravine system; nearest waterbody ~19 m. Reading: ravine-cooled. Source coverage: ravine, waterbodies. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.0%

Canopy area0.00 ha

Inside ravine system100.0%

Water surface inside park0.0%

Nearest water (if outside park)19 m

Estimated green100.0%

City-mapped trees inside polygon0

Tree density0.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used13

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

Enclosure / Eyes on Park

10% weightmeasured 80%

80.6 / 100

11 buildings within 25 m of the park edge (7 mid-rise, 2 low-rise, 2 tower); avg edge height 25.5 m (~9 floors); 10.7 buildings per 100 m of 103 m perimeter — strong 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 7 mid-rise edge buildings.

Buildings within 25 m11

Buildings within 50 m11

Avg edge height25.5 m (~9 floors)

Tallest edge building77.5 m

Mid-rise (3–7 floors)7

Low-rise (< 3 floors)2

Towers (≥ 13 floors)2

Frontage density10.72 per 100 m perimeter

Mid-rise share of edge64%

Tower share of edge18%

Blank-edge share (proxy)0%

Park perimeter103 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 (26)

parking lot29 m
parking lot44 m
transit stop78 m
parking lot84 m
retail — Golden Hanger93 m
restaurant — Domino's105 m
retail — Evergreen Dry Cleaners110 m
retail — Palmer Massage Therapy Clinic110 m
parking lot110 m
transit stop113 m
retail — Kingsway Persian Rugs129 m
rail — Galt Subdivision135 m
retail — Swirls139 m
rail — Galt Subdivision139 m
retail — Lambton Mini Mart141 m
restaurant — Region146 m
rail — Galt Subdivision157 m
rail — Galt Subdivision160 m
parking lot166 m
rail — Galt Subdivision167 m
retail — Marché Leo’s168 m
retail — Elford Floral Design187 m
parking lot190 m
retail — Ready Set Fetch192 m
parking lot193 m
retail — Malta's Finest Pastries197 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
9th
Edge activation
64th
Connectivity
3th
Amenity diversity
43th
Natural comfort
24th
Enclosure
85th

Most similar parks

Closest in metric space across the five structural dimensions.

City Wide Open SpaceRavine / Naturalized Park25
John Street ParketteUrban Plaza26
Fallingbrook Road SlopesRavine / Naturalized Park25
Trca Lands ( 52)Ravine / Naturalized Park25
Woodmere Ct Cul-De-SacUrban Plaza25

Most opposite parks

Furthest in metric space — useful for recognising what kind of park this isn’t.

Kew GardensNeighbourhood Park71
Leslie Grove ParkParkette68
David Crombie ParkCorridor / Linear Park66
Bellevue Square ParkCivic Square66
Sir Winston Churchill ParkRavine / Naturalized Park69

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 ( 48)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.

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.