
Anniversary Park
Urban Plaza, one of the city's strongest overall (score 56, rank ~99th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by Mostafa Azizi via Google Places · cached 5/9/2026
Anniversary Park scores 55.9 / 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 · 0.07 ha
Weighted across six dimensions · confidence 57%
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 (78) significantly outpaces natural comfort (35) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 56) but weak observed activity signals (7) — 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 (78) 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 36 for similar parks (pocket Urban Plaza) (gap +20).
Typology classification
Classified as Urban Plaza: 732 m², paved (0% canopy), 43.3 buildings/100 m
Edge Activation
Within 100 m of the park edge: 34 active uses (transit_stop, retail, restaurant, cafe) 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 6 mapped paths/walkways and 22 sidewalk segments within 50 m; 16 street intersections within 100 m; 24 transit stops within a 400 m walk; 7 estimated access points across ~129 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 components for this park: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~763 m; 3 city-mapped trees inside the polygon (3.0/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
56 buildings within 25 m of the park edge (25 mid-rise, 30 low-rise, 1 tower); avg edge height 9.9 m (~3 floors); 43.3 buildings per 100 m of 129 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 25 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 (66)
- transit stop — Gerrard Street East8 m
- transit stop — Gerrard Street East/Parliament Street19 m
- transit stop — Gerrard Street East23 m
- retail — Dollar 4 U23 m
- restaurant — Gushi Japanese Street Food24 m
- cafe — Epos Coffee24 m
- retail — Jenny's Convenience27 m
- retail — Parliament Shoes & Luggage28 m
- restaurant — New Town Restaurant30 m
- transit stop — Parliament Street32 m
- transit stop — Gerrard Street East32 m
- restaurant — Urban Thai33 m
- retail34 m
- restaurant — Hakka N' Jerk36 m
- restaurant — Hakka Bistro39 m
- retail — 6ix Side Vapes40 m
- retail — Razed Right42 m
- restaurant — Blondies Pizza43 m
- retail — Maas Wireless48 m
- retail — Sarker Grocery49 m
- retail — Parliament Optical49 m
- retail — Cleopatra Fashion51 m
- parking lot53 m
- retail — Business Plus Wireless Inc55 m
- retail — Dollarama60 m
- restaurant — Wing House & Sports Bar66 m
- retail — Bisou70 m
- retail — Cabbagetown Self Storage73 m
- restaurant — The Golden Pigeon Beerhall74 m
- retail — Canna Cabana82 m
- retail — Freedom Mobile87 m
- retail — EcoGo87 m
- retail — The Green Closet92 m
- parking lot93 m
- parking lot96 m
- restaurant — Super Bargain97 m
- restaurant — Chennai Masala Cafe97 m
- cafe — Agak Agak Kopitiam100 m
- restaurant — Wing Machine101 m
- retail — Rapid Photo104 m
- retail — Hastings Barber Shop Cabbagetown105 m
- retail — The Yonge Street Mission - Double Take Store109 m
- retail — Choco Choo111 m
- retail — Gerrard Convenience117 m
- retail120 m
- parking lot120 m
- retail — Bluet Bakery122 m
- retail — Star Nails127 m
- transit stop — Oak Street127 m
- retail — Cycle Solutions132 m
- retail — No Frills133 m
- restaurant — Vietbites135 m
- restaurant — Saigon Pai141 m
- retail — All Way Convenience and Grocery143 m
- restaurant — 241 Pizza146 m
- retail — Massawa Convenience Store & Butcher150 m
- cafe — La Gloria150 m
- restaurant — House on Parliament158 m
- retail159 m
- retail — U-Haul167 m
- transit stop — Oak Street171 m
- parking lot179 m
- retail — Parliament Furniture181 m
- parking lot186 m
- parking lot188 m
- retail — Medicine Wheel192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation98th
- Connectivity98th
- Amenity diversity42th
- Natural comfort23th
- Enclosure99th
Most similar parks
Closest in metric space across the five structural dimensions.
- Massey Harris ParkUrban Plaza57
- St. Patricks SquareCivic Square55
- Jesse Ketchum ParkUrban Plaza51
- Asquith Green ParkUrban Plaza55
- Hubbard ParkParkette50
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 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.
p62 citywide · p62 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 Anniversary 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.