Bill Johnston Park
Corridor / Linear Park, middle of the pack overall (score 32, rank ~40th percentile). Strongest: natural comfort; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Bill Johnston Park scores 32 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.48 ha
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 32 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
- The park is enclosed by buildings (69) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Corridor / Linear Park: shape elongation 3.6× a circle of equal area
Edge Activation
Within 100 m of the park edge: 6 active uses (retail, cafe, restaurant) and 15 dead/hostile uses (parking_lot, rail). 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 10 mapped paths/walkways and 11 sidewalk segments within 50 m; 14 street intersections within 100 m; 23 transit stops within a 400 m walk; 1 estimated access points across ~884 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 (dog_area). 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: ~70.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~883 m; 108 city-mapped trees inside the polygon (108.0/ha). Reading: well-shaded. 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
39 buildings within 25 m of the park edge (26 mid-rise, 3 low-rise, 10 tower); avg edge height 28.4 m (~9 floors); 4.4 buildings per 100 m of 884 m perimeter — strong frontage density; edges lean tall but still framed; 10 towers ≥ 40 m within 25 m of the edge. "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: Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, rail, rail, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, rail. 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)
- dog area
Nearby active-edge features (80)
- rail — Union Station Rail Corridor14 m
- rail16 m
- rail — Union Station Rail Corridor18 m
- rail — Union Station Rail Corridor18 m
- rail — Union Station Rail Corridor25 m
- rail — Union Station Rail Corridor29 m
- rail — Union Station Rail Corridor29 m
- rail — Union Station Rail Corridor31 m
- rail33 m
- rail — Union Station Rail Corridor33 m
- rail — Union Station Rail Corridor36 m
- rail37 m
- parking lot58 m
- parking lot — Impark69 m
- retail — Liberty Convenience88 m
- restaurant — Forest Hill Farmhouse88 m
- parking lot89 m
- cafe — Hello Coffee89 m
- retail — Green Cleaners92 m
- retail — spark's96 m
- restaurant — Burritoz100 m
- transit stop — Sudbury Street102 m
- cafe — Ton Ton Matcha102 m
- retail — Mobizone104 m
- cafe — Starbucks105 m
- restaurant — 'Ono Poké Bar107 m
- transit stop — Sudbury Street107 m
- retail107 m
- retail — LV Vapes108 m
- retail — Wine Rack110 m
- transit stop — Sudbury Street112 m
- retail — Liberty Towers Presentation Centre112 m
- parking lot114 m
- transit stop — Wellington Street West116 m
- retail — Value Buds119 m
- retail — Vent Blow Dry Bar124 m
- retail — Sleep Country124 m
- cafe — Starbucks125 m
- retail128 m
- restaurant — Panago129 m
- retail — Wine Rack131 m
- transit stop — Shaw Street132 m
- retail — JustCare Cosmetics132 m
- retail — Organic Nail Bar134 m
- restaurant — Maurya East Indian Roti137 m
- transit stop — King Street West142 m
- retail142 m
- transit stop — Shaw Street144 m
- retail — Woof Gang Bakery & Grooming145 m
- parking lot — Impark145 m
- cafe — Aroma Espresso Bar145 m
- retail — MD Skin Lab147 m
- rail — Weston Subdivision148 m
- transit stop151 m
- retail — No Frills151 m
- rail — Weston Subdivision153 m
- parking lot — Impark154 m
- rail — Weston Subdivision156 m
- restaurant — Nodo Liberty160 m
- transit stop — Lynn Williams Street162 m
- rail — Galt Subdivision162 m
- retail — King West Eye Care162 m
- retail — Sparks Salon165 m
- transit stop — Canniff Street167 m
- retail — Axe & Hatchet171 m
- retail — King West Village Cleaners174 m
- transit stop — Shaw Street175 m
- transit stop181 m
- rail185 m
- restaurant — Liberty Soho187 m
- retail — M&M Food Market187 m
- rail — Oakville Subdivision189 m
- rail — Oakville Subdivision191 m
- parking lot193 m
- retail — Circle K193 m
- rail194 m
- rail — Oakville Subdivision194 m
- restaurant — Brazen Head Irish Pub196 m
- parking lot — Impark196 m
- rail196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality40th
- Edge activation46th
- Connectivity79th
- Amenity diversity81th
- Natural comfort82th
- Enclosure67th
Most similar parks
Closest in metric space across the five structural dimensions.
- Rainbow ParkParkette40
- Municipal ParkParkette31
- Portage Gardens ParkCorridor / Linear Park40
- Coxwell Avenue ParketteParkette38
- Harvest Moon ParkNeighbourhood Park41
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Queen'S Quay Traffic IslandWaterfront Park49
- Leslie Grove ParkParkette68
- Joseph Burr Tyrrell ParkUrban Plaza50
- Bernard Avenue Road AllowanceUrban Plaza54
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 Bill Johnston 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.
- 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.
- 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.