SIR WILLIAM CAMPBELL HOUSE MUSEUM - Building Grounds
Urban Plaza, above average overall (score 40, rank ~77th percentile). Strongest: edge activation; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
SIR WILLIAM CAMPBELL HOUSE MUSEUM - Building Grounds scores 40.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (42). 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 57%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 40 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
- 16 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Typology classification
Classified as Urban Plaza: 1492 m², paved (0% canopy), 31.1 buildings/100 m
Edge Activation
Within 100 m of the park edge: 24 active uses (restaurant, transit_stop, retail, cafe) and 5 dead/hostile uses (highway, 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 1 mapped paths/walkways and 18 sidewalk segments within 50 m; 6 street intersections within 100 m; 28 transit stops within a 400 m walk; 0 estimated access points across ~155 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: ~2.8% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1353 m; 4 city-mapped trees inside the polygon (4.0/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
48 buildings within 25 m of the park edge (22 mid-rise, 10 low-rise, 16 tower); avg edge height 33.6 m (~11 floors); 31.1 buildings per 100 m of 155 m perimeter — strong frontage density; edges lean tall but still framed; 16 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 22 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: University Avenue, 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 (0)
No amenities recorded for this park.
Nearby active-edge features (80)
- parking lot2 m
- transit stop — University / Queen, Northwest Entrance5 m
- transit stop — Queen Street West6 m
- transit stop — University Avenue11 m
- transit stop — University / Queen, Southwest Entrance17 m
- restaurant21 m
- restaurant — Green Box24 m
- transit stop — University / Queen, Southwest Entrance25 m
- transit stop — Osgoode34 m
- highway — University Avenue40 m
- transit stop — Osgoode42 m
- transit stop — Queen Street West49 m
- cafe — Starbucks51 m
- highway — University Avenue55 m
- highway — University Avenue56 m
- cafe — Real Fruit Bubble Tea57 m
- transit stop — University Avenue60 m
- restaurant — Planta Queen64 m
- restaurant — 4Ever Sushi64 m
- retail — Essential Beauty Bar64 m
- retail — Clutch Vape68 m
- highway — University Avenue68 m
- retail — Toronto Cannabis Authority73 m
- transit stop — Four Seasons Entrance76 m
- retail — Tower Barbershop77 m
- restaurant — Azkadenya Mezza Diner84 m
- transit stop — St. Patrick Street87 m
- restaurant — The Rex Jazz & Blues Bar87 m
- retail — Reiwatakiya90 m
- parking lot101 m
- cafe — HotBlack Coffee112 m
- cafe — Tim Hortons113 m
- retail — Hunny Pot Cannabis114 m
- restaurant — Chick Queen116 m
- retail — Kintaro Tattoo117 m
- restaurant — Atomy119 m
- retail — St. Patrick's Mini Market120 m
- restaurant — Ikkousha Ramen120 m
- restaurant — Daily Press Juicery121 m
- highway — University Avenue123 m
- restaurant — JaBistro124 m
- highway — University Avenue126 m
- restaurant — Ema-Tei Authentic Japanese Food127 m
- retail — The Hunny Pot128 m
- retail128 m
- rail129 m
- retail — Toni & Guy131 m
- restaurant — Niuda133 m
- restaurant — Little India134 m
- retail — Power Flowers135 m
- restaurant — Ruth's Chris Steak House138 m
- restaurant — Ikkousha Ramen139 m
- restaurant — Queen Mother Cafe142 m
- parking lot144 m
- restaurant — The Bombay144 m
- restaurant — Green Box145 m
- community — Great Library147 m
- restaurant — Touhenboku Ramen151 m
- highway — University Avenue153 m
- restaurant — Aristos158 m
- highway — University Avenue158 m
- restaurant — Korean Grill House158 m
- retail — JC Mart161 m
- restaurant — Subway162 m
- restaurant — Momofuku162 m
- retail — JC Laundry163 m
- retail — Man Stop Barber163 m
- restaurant — Rudy165 m
- restaurant — Shah’s Halal Food167 m
- highway — University Avenue170 m
- restaurant — Tundra Restaurant and Bar171 m
- parking lot172 m
- restaurant — Rosalinda174 m
- highway — University Avenue175 m
- retail — Canar Gifts181 m
- retail — Rabba Marché184 m
- retail — Civello Aveda186 m
- restaurant — Estiatorio Volos191 m
- retail — Stag Shop192 m
- restaurant — Subway194 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality77th
- Edge activation92th
- Connectivity71th
- Amenity diversity51th
- Natural comfort20th
- Enclosure80th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceUrban Plaza42
- Trca Lands ( 67)Waterfront Park41
- Sunfield ParkCorridor / Linear Park44
- Grafton Avenue ParkUrban Plaza39
- City Wide Open SpaceUrban Plaza46
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
Human activity signals — not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
Does this score feel accurate?
Your read of SIR WILLIAM CAMPBELL HOUSE MUSEUM - 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.
- 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.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
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.