S.H. ARMSTRONG COMMUNITY CENTRE - Building Grounds
Neighbourhood Park, in the top tier overall (score 49, rank ~95th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Tania Walsh via Google Places · cached 5/9/2026
S.H. ARMSTRONG COMMUNITY CENTRE - Building Grounds scores 49.2 / 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 · 2.55 ha
Weighted across six dimensions · confidence 72%
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 49 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
- Strong physical conditions (score 49) 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
- A modest overperformer for its neighbourhood park typology (+12 vs the median in medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 2.5 ha, framed by 26 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 13 active uses (community, retail, restaurant, transit_stop) and 2 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 0 mapped paths/walkways and 15 sidewalk segments within 50 m; 18 street intersections within 100 m; 21 transit stops within a 400 m walk; 0 estimated access points across ~678 m of perimeter. moderate edge density — small superblock penalty applied. 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 (skatepark). 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: 3.4% estimated tree canopy; nearest waterbody ~696 m; 10 city-mapped trees inside the polygon (3.9/ha). Reading: exposed. Source coverage: treed_area, 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
165 buildings within 25 m of the park edge (26 mid-rise, 139 low-rise, 0 tower); avg edge height 7.4 m (~2 floors); 24.3 buildings per 100 m of 678 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 26 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they suppress foot traffic and isolate the park from its neighbourhood.
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)
- skatepark
Nearby active-edge features (34)
- community — Applegrove Community Complex0 m
- parking lot0 m
- parking lot16 m
- restaurant — Maru58 m
- restaurant — Tulia Osteria59 m
- transit stop — Woodfield Road72 m
- transit stop — Woodfield Road72 m
- retail — The Dundurn Press Bookshop81 m
- restaurant — Chick-N-Joy87 m
- retail — East End Garden Centre91 m
- restaurant — Tatsuro's92 m
- retail — Up To You92 m
- transit stop — Kerr Road96 m
- restaurant — Daymi97 m
- transit stop — Queen Street East98 m
- retail — Salim’s Auto Repair101 m
- cafe — The Grreenwood102 m
- transit stop — Greenwood Avenue104 m
- retail — Lambo's Deli106 m
- transit stop — Dorothy Street111 m
- transit stop — Dorothy Street118 m
- restaurant — Dang Smoke BBQ122 m
- transit stop — Queen Street East124 m
- restaurant — KFC128 m
- retail — Dashing Hounds134 m
- retail — The Zoo Flowers139 m
- retail — L.E. Jewellers146 m
- transit stop — Greenwood Avenue147 m
- retail — Coal Miner's Daughter150 m
- retail — Tatiana Hair153 m
- retail — Papa's Laundromat159 m
- parking lot177 m
- transit stop — Dundas Street East196 m
- retail — Omnia Coffee Roasters197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality95th
- Edge activation96th
- Connectivity74th
- Amenity diversity70th
- Natural comfort35th
- Enclosure88th
Most similar parks
Closest in metric space across the five structural dimensions.
- Thompson Street ParketteUrban Plaza50
- HOLY CROSS CATHOLIC SECONDARY SCHOOL - Building GroundsParkette51
- Northumberland PlaygroundUrban Plaza46
- HILLCREST COMMUNITY CENTRE - Building GroundsParkette54
- Elijah ParkCorridor / Linear Park50
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.
p26 citywide · p27 within Neighbourhood Park
Source: Google Places API · match medium (0.80 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 S.H. ARMSTRONG COMMUNITY CENTRE - Building Groundsmatters. 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.