Fred Hamilton Playground
Neighbourhood Park, one of the city's strongest overall (score 56, rank ~99th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by Lawrence Kwok via Google Places · cached 5/9/2026
Fred Hamilton Playground scores 56 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (36). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.65 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 56 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 (39) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 56) 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.
- 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 56 versus an expected 37 for similar parks (medium Neighbourhood Park) (gap +19).
Typology classification
Classified as Neighbourhood Park: 1.6 ha, framed by 21 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 9 active uses (cafe, retail, restaurant) and 3 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 8 mapped paths/walkways and 28 sidewalk segments within 50 m; 20 street intersections within 100 m; 15 transit stops within a 400 m walk; 12 estimated access points across ~714 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
5 distinct amenity types in the park (fitness, picnic, playground, tennis, washroom). 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: ~7.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 17 city-mapped trees inside the polygon (10.3/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
140 buildings within 25 m of the park edge (21 mid-rise, 119 low-rise, 0 tower); avg edge height 7.7 m (~3 floors); 19.6 buildings per 100 m of 714 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 21 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 (5 types · 5 records)
- fitness
- picnic
- playground
- tennis
- washroom
Nearby active-edge features (73)
- cafe — Tim Hortons60 m
- parking lot61 m
- parking lot70 m
- cafe — The Frantic Monkey71 m
- parking lot87 m
- restaurant — Wow! Wing House97 m
- restaurant — Casa Tropical97 m
- retail — Monocle98 m
- restaurant — Regina Trattoria & Pizzeria98 m
- retail98 m
- retail — Viusavis98 m
- retail — Health Hut99 m
- retail — Rapp100 m
- restaurant — The Daily Dumpling Wonton Co103 m
- cafe — Misc Coffee105 m
- retail — Ziggy's at Home105 m
- restaurant — Pizzaville108 m
- restaurant — Coast To Coast Seafood109 m
- transit stop — Churchill Avenue118 m
- restaurant — Gino's Pizza120 m
- retail — Rainbow122 m
- retail — The Night Baker123 m
- restaurant — BOOM Breakfast & Co. College St.127 m
- retail — LES Studio Ossington127 m
- restaurant — Starving Artist128 m
- retail — National Bakery & Bistro130 m
- transit stop — Crawford Street130 m
- retail — Jill and the Beanstalk134 m
- retail — easyfinancial135 m
- restaurant — Rosa Branca Sports Bar136 m
- parking lot138 m
- restaurant — Houndstooth139 m
- retail — Vespa Toronto West141 m
- retail — College Barbershop144 m
- retail — Portugal Gift Central146 m
- transit stop — Ossington Avenue148 m
- retail — In Style Optical149 m
- restaurant — Krispy Kream151 m
- transit stop — Crawford Street155 m
- restaurant — A&W156 m
- restaurant — thairoom158 m
- retail — Medicine Wheel162 m
- restaurant — Que Rico163 m
- restaurant — Mannat Indian & Hakka Bar166 m
- retail — Chic167 m
- restaurant — 416168 m
- transit stop — Ossington Avenue169 m
- parking lot171 m
- retail — Giclee Boutique171 m
- retail — Kiss My Pans171 m
- parking lot171 m
- retail — Aguiar Jewelry172 m
- retail — INS Market175 m
- retail — pinktwig176 m
- transit stop — College Street176 m
- restaurant — Janelle's Kitchen176 m
- retail — Wine Rack177 m
- retail — Print Vintage178 m
- restaurant — Kibo181 m
- retail — People's Chomp181 m
- cafe — Sicilian Sidewalk Café181 m
- restaurant — Conejo Negro184 m
- restaurant — Churrosqueria Do Sardinha185 m
- restaurant — Vos Restaurant Argentino186 m
- retail — Bellwoods187 m
- restaurant — College Falafel190 m
- restaurant — Heal190 m
- retail — The Candy Bar190 m
- parking lot192 m
- retail — My Desk194 m
- restaurant — Pizza Nova195 m
- cafe — Maderas196 m
- restaurant — Anti Vice Juicery198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation90th
- Connectivity96th
- Amenity diversity98th
- Natural comfort35th
- Enclosure86th
Most similar parks
Closest in metric space across the five structural dimensions.
- Alexandra ParkNeighbourhood Park55
- Greenwood ParkNeighbourhood Park58
- Regent Park Athletic GroundsAthletic / Recreation Park52
- June Rowlands ParkNeighbourhood Park56
- Westgrove ParkAthletic / Recreation Park56
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.
“Named for a prominent local resident, this park features kids' play equipment & bocce courts.” — Google editorial summary
p83 citywide · p84 within Neighbourhood Park
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 Fred Hamilton Playgroundmatters. 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.
- 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.