
Trca Lands ( 87)
Waterfront Park, near the bottom of the city overall (score 23, rank ~8th percentile). Strongest: natural comfort; weakest: connectivity.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Trca Lands ( 87) scores 23.2 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.41 ha
Weighted across six dimensions · confidence 63%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 23 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- Natural comfort (83) significantly outpaces connectivity (23) — restorative but hard to reach for daily use.
- The park is enclosed by buildings (62) but the surrounding streets are quiet (edge activation 0) — frame without animation.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: small Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 29% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 57% canopy).
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop, retail) and 11 dead/hostile uses (highway, 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 2 sidewalk segments within 50 m; 2 street intersections within 100 m; 10 transit stops within a 400 m walk; 0 estimated access points across ~431 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 57.1% estimated tree canopy; 100.0% inside the ravine system; 28.6% 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).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
8 buildings within 25 m of the park edge (2 mid-rise, 6 low-rise, 0 tower); avg edge height 9.4 m (~3 floors); 1.9 buildings per 100 m of 431 m perimeter — moderate frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Dundas Street West, Dundas Street East, Dundas Street West, Dundas Street East, Dundas Street West, 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
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 (33)
- highway — Dundas Street West18 m
- highway — Dundas Street East24 m
- highway — Dundas Street West34 m
- parking lot36 m
- highway — Dundas Street East38 m
- highway — Dundas Street West44 m
- highway — Dundas Street West53 m
- highway — Dundas Street East53 m
- highway — Dundas Street East57 m
- transit stop — Dundas Street At West Mall Crescent68 m
- retail — Plato's Closet74 m
- highway — Dundas Street West87 m
- highway — Dundas Street West92 m
- retail — Cedar House Spa98 m
- parking lot111 m
- transit stop115 m
- highway — Dundas Street West116 m
- parking lot122 m
- parking lot122 m
- transit stop — Neilson Drive123 m
- transit stop — Dundas Street At Neilson Drive126 m
- retail — Car Squad127 m
- highway — Dundas Street West128 m
- parking lot137 m
- parking lot143 m
- parking lot152 m
- restaurant — Bounty Family Resturant154 m
- parking lot157 m
- retail — Mr. Lube + Tires181 m
- transit stop — Dundas Street At 2200 Dundas Street184 m
- transit stop — Dundas Street West Of Neilson Drive186 m
- parking lot192 m
- parking lot193 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality8th
- Edge activation46th
- Connectivity11th
- Amenity diversity51th
- Natural comfort93th
- Enclosure44th
Most similar parks
Closest in metric space across the five structural dimensions.
- Etobicoke Creek RavineWaterfront Park23
- Rouge River WatercourseRavine / Naturalized Park32
- Camborne ParketteRavine / Naturalized Park33
- Highland Creek RavineWaterfront Park32
- Massey Creek RavineWaterfront Park32
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Leslie Grove ParkParkette68
- Bellevue Square ParkCivic Square66
- Sonya'S ParkUrban Plaza60
- Kew GardensNeighbourhood Park71
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 ( 87)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.
- 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 FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.