Graham Park
Urban Plaza, one of the city's strongest overall (score 59, rank ~99th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Dimitrios Nikolaou via Google Places · cached 5/9/2026
Graham Park scores 59 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. 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 · 0.29 ha
Weighted across six dimensions · confidence 66%
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 59 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 (65) significantly outpaces natural comfort (38) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 59) but weak observed activity signals (9) — 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.
Performance in context
- This park is a strong overperformer for its cohort — raw 59 versus an expected 39 for similar parks (small Urban Plaza) (gap +20).
Typology classification
Classified as Urban Plaza: 2876 m², paved (0% canopy), 43.4 buildings/100 m
Edge Activation
Within 100 m of the park edge: 42 active uses (restaurant, retail, cafe, transit_stop) and 1 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 4 mapped paths/walkways and 10 sidewalk segments within 50 m; 13 street intersections within 100 m; 10 transit stops within a 400 m walk; 4 estimated access points across ~276 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: ~4.9% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~953 m; 7 city-mapped trees inside the polygon (7.0/ha). Reading: exposed. Source coverage: waterbodies, 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
120 buildings within 25 m of the park edge (7 mid-rise, 113 low-rise, 0 tower); avg edge height 6.9 m (~2 floors); 43.4 buildings per 100 m of 276 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 7 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 (70)
- restaurant — Hungry Jack's Italian Mediterranean Grill48 m
- restaurant — Nodo48 m
- retail48 m
- retail — Rome Travel Agency48 m
- retail — St. Clair Fruit Market48 m
- retail — Delta Dawn Floral48 m
- retail — Roast Fine Foods48 m
- restaurant — Tapworks Pub49 m
- retail — Marcelleria Atlas49 m
- retail — Modern Edge Salon49 m
- retail — Suotu E-Scooter & E-Bike49 m
- restaurant — Emma's Country Kitchen49 m
- restaurant — The Gym49 m
- retail51 m
- cafe — De Mello Coffee x Chocolat de Kat52 m
- restaurant — Pukka53 m
- retail56 m
- retail — Arlington Super Variety57 m
- restaurant — Mi Tierra58 m
- retail61 m
- transit stop — Arlington Avenue63 m
- restaurant — FK78 m
- cafe — Krave Coffee86 m
- retail86 m
- retail — Optical86 m
- restaurant — Zini Pizza86 m
- restaurant — Aviv Immigrant Kitchen87 m
- restaurant — Black Tulip Restaurant89 m
- retail — Menalon Bakery90 m
- restaurant — Chai Pochana90 m
- retail — The Spirit of St. Clair90 m
- retail — Ecoexistance90 m
- retail — Planet Jewellery90 m
- restaurant — Sushi Kozoku90 m
- restaurant — Savera91 m
- retail91 m
- cafe — Zaza Expresso Bar93 m
- retail93 m
- restaurant — Wings N Dip93 m
- retail — Skinprovement Medi Spa & Laser Clinic95 m
- restaurant — Dragon Delight Chinese Cuisine96 m
- retail — Gypsy97 m
- parking lot97 m
- restaurant — Riz106 m
- restaurant — Ferro111 m
- restaurant — What A Bagel114 m
- transit stop — Arlington Avenue114 m
- retail — Acapella120 m
- restaurant — Nama Sushi125 m
- parking lot129 m
- retail — St. Clair Delicatessen131 m
- parking lot133 m
- transit stop — Winona134 m
- retail — Mabel's Bakery136 m
- retail — Poppyseed Creative Living137 m
- retail — Nino’s Hairstyling138 m
- restaurant — Romi's142 m
- parking lot144 m
- retail — Spectacular Sounds144 m
- parking lot161 m
- retail — The Pretty Rugged162 m
- retail — Winona Hearing Aid Centre162 m
- transit stop — Winona Drive167 m
- restaurant — The Rushton168 m
- retail169 m
- parking lot177 m
- retail — Pain Perdu180 m
- parking lot184 m
- retail190 m
- restaurant — Senso Restaurant & Bar196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation100th
- Connectivity82th
- Amenity diversity83th
- Natural comfort33th
- Enclosure85th
Most similar parks
Closest in metric space across the five structural dimensions.
- Maple Leaf Forever ParkUrban Plaza61
- Arena GardensUrban Plaza58
- Sonya'S ParkUrban Plaza60
- OLD CITY HALL - Building GroundsCivic Square53
- Grace - College ParketteCorridor / Linear Park59
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 ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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.
p60 citywide · p56 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 public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Graham Parkmatters. 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.