James Canning Gardens
Urban Plaza, one of the city's strongest overall (score 58, rank ~99th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Mustafa Akça via Google Places · cached 5/9/2026
James Canning Gardens scores 57.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.15 ha
Weighted across six dimensions · confidence 65%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 58 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
- Connectivity (76) significantly outpaces natural comfort (35) — well placed in the city but offers little shade or ecological respite.
- 35 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 58) but weak observed activity signals (8) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (76) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 58 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +21).
Typology classification
Classified as Urban Plaza: 1529 m², paved (0% canopy), 61.0 buildings/100 m
Edge Activation
Within 100 m of the park edge: 68 active uses (retail, transit_stop, restaurant, cafe) and 3 dead/hostile uses (parking_lot, 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 12 mapped paths/walkways and 15 sidewalk segments within 50 m; 14 street intersections within 100 m; 30 transit stops within a 400 m walk; 4 estimated access points across ~184 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
1 distinct amenity types in the park (playground). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~3.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 5 city-mapped trees inside the polygon (5.0/ha). Reading: exposed. Source coverage: street_trees. 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
112 buildings within 25 m of the park edge (49 mid-rise, 28 low-rise, 35 tower); avg edge height 32.7 m (~11 floors); 61.0 buildings per 100 m of 184 m perimeter — strong frontage density; edges lean tall but still framed; 35 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 49 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 (1 types · 1 records)
- playground
Nearby active-edge features (80)
- transit stop — Dundonald Street31 m
- retail — Goa Hair Salon45 m
- retail48 m
- restaurant — Sushi Kiwami50 m
- transit stop — Gloucester Street56 m
- retail — KaleMart2456 m
- restaurant — Pho Anh Vu59 m
- restaurant — Dal Moro’s Fresh Pasta To Go59 m
- retail — Natural Nail Bar61 m
- retail — Pay More62 m
- retail — Bootmaster63 m
- parking lot64 m
- retail — Relx65 m
- cafe — Machi machi67 m
- restaurant — Broken Rice68 m
- parking lot — Isabella69 m
- retail — Mix4071 m
- retail — Pay2Day72 m
- retail — D&M Footwear72 m
- cafe — Chatime72 m
- restaurant — Super Chicken72 m
- retail — Vava Designer Cakes & Gelato73 m
- retail — Bake Code73 m
- restaurant — Gyou Ramen73 m
- retail73 m
- retail74 m
- cafe — The Peachy74 m
- retail75 m
- restaurant — Fat Bastard Burrito75 m
- retail — Hockridge China75 m
- retail — The Green Merchant76 m
- retail — Dream Beauty76 m
- retail — Nail’s Attraction76 m
- retail — Cash Money77 m
- cafe — Molly Tea77 m
- transit stop — Irwin Avenue78 m
- retail — Pick Vapes78 m
- retail — Puffs Haven79 m
- retail — Money Mart79 m
- retail80 m
- retail — Yonge Street Tattos81 m
- cafe — Gong Cha83 m
- restaurant — Beach Smokehouse83 m
- restaurant — Shamshiri Restaurant84 m
- retail — Nui Vision84 m
- cafe — Bloom Cafe85 m
- retail85 m
- highway — Yonge Street86 m
- restaurant — GunGun Rice Noodle86 m
- cafe — CoCo Fresh Tea & Juice86 m
- transit stop — Wellesley Station87 m
- transit stop — Wellesley Station87 m
- retail — K9 Couture87 m
- retail — Winnie Spa87 m
- restaurant — Sansotei Ramen88 m
- retail — M-Square Cake90 m
- restaurant — Bao House90 m
- retail — Zazo Hair Studio92 m
- retail — Vape Magic92 m
- restaurant — Souliouse93 m
- retail — Equinoxe Hair93 m
- restaurant — Hoki Bowl94 m
- retail — Cosmetic World94 m
- retail — Fangyuan94 m
- transit stop — Wellesley95 m
- transit stop — Wellesley95 m
- cafe — Caphelia Cafe96 m
- retail — Kokii and ...97 m
- retail — Cash 4 You98 m
- restaurant — The Halal Guys99 m
- retail — Gogo Pets100 m
- retail — ABC Books103 m
- retail — Canna Cabana103 m
- cafe — Nabulu Coffee104 m
- cafe — Kung Fu Tea105 m
- restaurant — Ethiopian House Restaurant106 m
- retail — Solexotica107 m
- transit stop — Wellesley Street East107 m
- restaurant — Chungchun107 m
- restaurant — A BBQ House108 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation99th
- Connectivity96th
- Amenity diversity74th
- Natural comfort21th
- Enclosure84th
Most similar parks
Closest in metric space across the five structural dimensions.
- Arena GardensUrban Plaza58
- Asquith Green ParkUrban Plaza55
- Liberty Village ParkCivic Square55
- Maple Leaf Forever ParkUrban Plaza61
- OLD CITY HALL - Building GroundsCivic Square53
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkWaterfront Park25
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.
p49 citywide · p38 within Urban Plaza
Source: Google Places API · match unverified (0.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is consistent rhythm across the day. Source coverage: google-places.
Does this score feel accurate?
Your read of James Canning Gardensmatters. 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.
- 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 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.