Ravine / Naturalized Parkcluster ·Active-edged · exposed parksMimico (includes Humber Bay Shores) (17)confidence moderatereal Toronto data

Trca Lands ( 39)

Ravine / Naturalized Park, middle of the pack overall (score 30, rank ~31th percentile). Strongest: edge activation; weakest: enclosure.

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

Trca Lands ( 39) scores 30 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (60). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:escape into nature

Area · 0.00 ha

Vitality Score

30/100

Weighted across six dimensions · confidence 57%

Data Confidence

30.0 / 100

Citywide

31st

of all 3,273 parks

Among Ravine / Naturalized Park

32nd

same primary typology

Expected for similar parks

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

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 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

Amenity Diversity0 · p43

-10.0

Edge Activation30 · p87

-5.0

Natural Comfort35 · p24

-2.2

Connectivity40 · p34

-2.0

Border Vacuum Risk60 (risk)

-1.0

Enclosure / Eyes on Park52 · p17

+0.2

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 ( 39) works because its edge activation score (30) is in the top tier.

What limits this park

Trca Lands ( 39) is held back by enclosure (52, bottom quartile); border-vacuum risk is also elevated (60).

Most distinctive characteristic

Most distinctive feature: exceptionally high edge activation (30, top quartile).

Jacobs reading

Trca Lands ( 39) sits between an urban social park and an ecological retreat — moderately useful for both, exceptionally suited to neither.

Tradeoffs

6 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.

Typology classification

confidence 75%

Ravine / Naturalized Parkalso reads as Tower-Community Green Space

Classified as Ravine / Naturalized Park: 100% ravine overlap, 0% canopy. Secondary read: Tower-Community Green Space (6 towers vs 2 mid-rise within 25 m on a 0.0 ha park).

Edge Activation

25% weightpartial 60%

29.8 / 100

Within 100 m of the park edge: 7 active uses (transit_stop, restaurant, retail) and 3 dead/hostile uses (highway). 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%

39.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 1 mapped paths/walkways and 2 sidewalk segments within 50 m; 5 street intersections within 100 m; 11 transit stops within a 400 m walk; 0 estimated access points across ~31 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m2

Intersections within 100 m5

Paths/walkways (50 m)1

Sidewalk segments (50 m)2

Transit stops (400 m)11

Estimated entrances0

Edge connections / 100 m perimeter2.00

Park perimeter31 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 ~20 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)20 m

Estimated green100.0%

City-mapped trees inside polygon0

Tree density0.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used1

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

Enclosure / Eyes on Park

10% weightmeasured 80%

52.3 / 100

8 buildings within 25 m of the park edge (2 mid-rise, 0 low-rise, 6 tower); avg edge height 91.1 m (~30 floors); 8.0 buildings per 100 m of 31 m perimeter — strong frontage density; edges dominated by towers; 6 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.

Buildings within 25 m8

Buildings within 50 m8

Avg edge height91.1 m (~30 floors)

Tallest edge building132.5 m

Mid-rise (3–7 floors)2

Low-rise (< 3 floors)0

Towers (≥ 13 floors)6

Frontage density8.00 per 100 m perimeter

Mid-rise share of edge25%

Tower share of edge75%

Blank-edge share (proxy)0%

Park perimeter31 m

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

Border Vacuum Risk

10% weightpartial 60%

60.0 risk

Border-vacuum factors within 50 m of the park: Lake Shore Boulevard West, Lake Shore Boulevard West. 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 (34)

transit stop10 m
highway — Lake Shore Boulevard West35 m
highway — Lake Shore Boulevard West40 m
retail — Top Modern Nail Spa51 m
highway — Lake Shore Boulevard West75 m
retail — Hasty Market77 m
restaurant — Fresh Pizza Plus87 m
retail — Park Lawn Cleaners92 m
restaurant — Sunset Grill92 m
retail — En Vogue Hair Salon & Spa98 m
transit stop — Legion Road111 m
transit stop — Park Lawn Road116 m
retail — LCBO120 m
highway — Lake Shore Boulevard West127 m
transit stop — Legion Road132 m
retail — Platis Cleaners136 m
restaurant — Panago142 m
transit stop — Park Lawn Road143 m
transit stop — Marine Parade Dr Loop at Lake Shore Blvd W146 m
transit stop — Park Lawn Rd at Lake Shore Blvd W149 m
parking lot152 m
retail — Metro152 m
cafe — Starbucks157 m
parking lot160 m
transit stop — Legion Road160 m
highway — Lake Shore Boulevard West172 m
parking lot176 m
transit stop — Park Lawn Rd at Lake Shore Blvd W176 m
transit stop184 m
retail — The Bone & Biscuit Co.184 m
restaurant — Freshii188 m
retail — Massage Addict190 m
parking lot191 m
parking lot194 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
31th
Edge activation
87th
Connectivity
34th
Amenity diversity
43th
Natural comfort
24th
Enclosure
17th

Most similar parks

Closest in metric space across the five structural dimensions.

Finch - Islington ParkRavine / Naturalized Park34
Kipling YardNeighbourhood Park35
North York Hydro Green SpaceParkette36
Princess ParkParkette36
Finch / Dufferin WoodlotRavine / Naturalized Park35

Most opposite parks

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

High ParkRavine / Naturalized Park47
Kew GardensNeighbourhood Park71
Ramsden ParkRavine / Naturalized Park43
Earlscourt ParkNeighbourhood Park44
Trinity Bellwoods ParkNeighbourhood Park63

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 ( 39)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.
Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.

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.