College - St. Helens Traffic Islands
Urban Plaza, in the top tier overall (score 44, rank ~86th percentile). Strongest: connectivity; weakest: amenity diversity.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
College - St. Helens Traffic Islands scores 43.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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.
Area · 0.03 ha
Weighted across six dimensions · confidence 54%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 44 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
- The park is enclosed by buildings (73) but the surrounding streets are quiet (edge activation 22) — frame without animation.
Performance in context
- A modest overperformer for its urban plaza typology (+7 vs the median in pocket Urban Plaza).
Typology classification
Classified as Urban Plaza: 283 m², paved (0% canopy), 26.0 buildings/100 m
Edge Activation
Within 100 m of the park edge: 14 active uses (restaurant, retail, transit_stop, cafe) and 6 dead/hostile uses (parking_lot, rail). 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 1 mapped paths/walkways and 12 sidewalk segments within 50 m; 9 street intersections within 100 m; 19 transit stops within a 400 m walk; 2 estimated access points across ~76 m of perimeter. edge density is healthy — no superblock penalty. 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 requires inputs not yet loaded for this park (Treed Area / Ravine / Waterbodies / Street Trees). Score is held at a neutral 50 with low confidence — read with caution.
Source: Treed Area / Ravine / Waterbodies / Street Trees
Enclosure / Eyes on Park
26 buildings within 25 m of the park edge (1 mid-rise, 25 low-rise, 0 tower); avg edge height 6.2 m (~2 floors); 26.0 buildings per 100 m of 76 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 1 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city — no significant border vacuum detected.
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 (37)
- restaurant — Subway31 m
- retail — Savage Vape32 m
- transit stop — Lansdowne Avenue32 m
- retail — Ultramar39 m
- transit stop — Lansdowne Avenue61 m
- transit stop64 m
- parking lot65 m
- restaurant — Euro Sports Bar & Cafe66 m
- transit stop — College Street68 m
- transit stop — College Street70 m
- transit stop — Dundas Street West72 m
- rail — Newmarket Subdivision73 m
- restaurant — Town Wings73 m
- transit stop73 m
- transit stop — Lansdowne Avenue85 m
- parking lot87 m
- cafe — Tim Hortons88 m
- parking lot90 m
- parking lot90 m
- parking lot100 m
- restaurant — Papa John's106 m
- parking lot109 m
- transit stop — Lansdowne Avenue110 m
- retail — S Market112 m
- retail — College Vape112 m
- restaurant — Acute Pizzeria114 m
- transit stop — Dundas Street West115 m
- parking lot120 m
- restaurant — Bairradino Rotisserie & Grill131 m
- transit stop — Dundas Street West South Side140 m
- transit stop — Sterling Road142 m
- parking lot152 m
- retail — Oscar's Auto Repairs152 m
- parking lot167 m
- transit stop — Sterling Road181 m
- retail — Real Coin Laundry189 m
- parking lot200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality86th
- Edge activation79th
- Connectivity84th
- Amenity diversity4th
- Natural comfort59th
- Enclosure74th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stratford ParkParkette43
- Brandon Avenue ParketteParkette41
- Blythwood - Sherwood RavineRavine / Naturalized Park43
- North York Hydro Green SpaceNeighbourhood Park39
- City Wide Open SpaceUrban Plaza43
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park21
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 College - St. Helens Traffic Islandsmatters. 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.
- 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 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.