Bill Johnston Park
Corridor / Linear Park, middle of the pack overall (score 33, rank ~45th percentile). Strongest: natural comfort; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Bill Johnston Park scores 33.2 / 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 · 0.40 ha
What's here
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 33 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
Bill Johnston Park works because its natural comfort score (68) is above average and its amenity diversity (27) is also top quartile.
What limits this park
Bill Johnston Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 100.
Most distinctive characteristic
Most distinctive feature: exceptionally high natural comfort (68, top quartile).
Jacobs reading
Bill Johnston Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (71) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Corridor / Linear Park: shape elongation 3.0× a circle of equal area. Secondary read: Urban Plaza (4002 m², paved (0% canopy), 5.3 buildings/100 m).
Edge Activation
Within 100 m of the park edge: 6 active uses (retail, cafe, transit_stop) and 13 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 1 mapped paths/walkways and 9 sidewalk segments within 50 m; 12 street intersections within 100 m; 19 transit stops within a 400 m walk; 0 estimated access points across ~665 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
3 distinct amenity types in the park (dog_area, bench, drinking_water). 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; 102 city-mapped trees inside the polygon (102.0/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
35 buildings within 25 m of the park edge (24 mid-rise, 2 low-rise, 9 tower); avg edge height 28.5 m (~10 floors); 5.3 buildings per 100 m of 665 m perimeter (strong frontage density); edges lean tall but still framed; 9 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 24 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, rail, rail, Union Station Rail Corridor, rail. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" that 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 (3 types · 5 records)
- dog area
- bench
- drinking water
Nearby active-edge features (61)
- rail: Union Station Rail Corridor13 m
- rail15 m
- rail: Union Station Rail Corridor17 m
- rail: Union Station Rail Corridor17 m
- rail: Union Station Rail Corridor24 m
- rail: Union Station Rail Corridor28 m
- rail32 m
- rail36 m
- transit stop: East Liberty Street81 m
- retail: Liberty Convenience87 m
- rail: Union Station Rail Corridor87 m
- cafe: Hello Coffee87 m
- rail: Union Station Rail Corridor88 m
- rail: Union Station Rail Corridor89 m
- retail: Green Cleaners91 m
- rail: Union Station Rail Corridor91 m
- retail: spark's96 m
- parking lot96 m
- retail99 m
- cafe: Ton Ton Matcha101 m
- retail103 m
- restaurant: 'Ono Poké Bar106 m
- retail106 m
- retail: LV Vapes107 m
- restaurant: Forest Hill Farmhouse109 m
- parking lot114 m
- transit stop: Wellington Street West116 m
- cafe: Starbucks123 m
- parking lot: Impark126 m
- retail: Wine Rack130 m
- transit stop: Shaw Street131 m
- retail: JustCare Cosmetics131 m
- retail: Liberty Towers Presentation Centre133 m
- retail: Organic Nail Bar133 m
- retail: Sleep Country133 m
- retail: Value Buds135 m
- retail: Vent Blow Dry Bar135 m
- cafe: Starbucks138 m
- transit stop: King Street West141 m
- retail141 m
- transit stop: Shaw Street143 m
- retail: Woof Gang Bakery & Grooming144 m
- retail: Wine Rack144 m
- retail: MD Skin Lab146 m
- transit stop: Sudbury Street146 m
- parking lot147 m
- transit stop149 m
- retail: No Frills150 m
- restaurant: Maurya East Indian Roti150 m
- retail: King West Eye Care161 m
- transit stop: Sudbury Street161 m
- retail: Sparks Salon163 m
- transit stop: Sudbury Street165 m
- transit stop: Canniff Street166 m
- restaurant: Panago171 m
- retail: King West Village Cleaners173 m
- transit stop: Shaw Street174 m
- transit stop: Lynn Williams Street185 m
- cafe: Aroma Espresso Bar186 m
- restaurant: King Rustic Kitchen & Bar195 m
- parking lot: Impark197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality45th
- Edge activation39th
- Connectivity64th
- Amenity diversity79th
- Natural comfort84th
- Enclosure72th
Most similar parks
Closest in metric space across the five structural dimensions.
- Alderwood Memorial ParkCivic Square44
- Municipal ParkParkette33
- Lynndale ParketteParkette42
- Mill Valley ParkRavine / Naturalized Park39
- Longwood ParkParkette40
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Leslie Grove ParkParkette73
- Queen'S Quay Traffic IslandWaterfront Park49
- Bellevue Square ParkCivic Square73
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. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- 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.