
Bethune Park
Athletic / Recreation Park, above average overall (score 40, rank ~71th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Bethune Park scores 39.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.08 ha
What's here
Weighted across six dimensions · confidence 72%
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 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
Bethune Park works because its amenity diversity score (35) is in the top tier and its enclosure (69) is also above-average.
What limits this park
Bethune Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (35, top quartile).
Jacobs reading
Bethune 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 (69) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, sports_field). Secondary read: Neighbourhood Park (1.1 ha, framed by 6 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 1 active uses (transit_stop) and 5 dead/hostile uses (highway). 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 10 sidewalk segments within 50 m; 8 street intersections within 100 m; 9 transit stops within a 400 m walk; 1 estimated access points across ~535 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
4 distinct amenity types in the park (basketball, playground, bench, sports_field). 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: 2.7% estimated tree canopy; nearest waterbody ~887 m; 2 city-mapped trees inside the polygon (1.9/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
46 buildings within 25 m of the park edge (6 mid-rise, 40 low-rise, 0 tower); avg edge height 5.8 m (~2 floors); 8.6 buildings per 100 m of 535 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 6 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 (4 types · 8 records)
- basketball
- playground
- bench
- sports field
Nearby active-edge features (22)
- transit stop: Eglinton Avenue East54 m
- highway: Kingston Road61 m
- highway: Eglinton Avenue East68 m
- highway: Kingston Road75 m
- highway: Eglinton Avenue East79 m
- highway: Kingston Road80 m
- transit stop: Muir Drive108 m
- transit stop: Kingston Road110 m
- highway: Eglinton Avenue East116 m
- highway: Eglinton Avenue East117 m
- highway: Kingston Road126 m
- transit stop: Eglinton Ave at Kingston Rd128 m
- highway: Kingston Road142 m
- highway: Kingston Road158 m
- parking lot160 m
- highway: Eglinton Avenue East163 m
- transit stop: Scarborough Golf Club Road169 m
- highway: Kingston Road179 m
- parking lot191 m
- highway: Eglinton Avenue East194 m
- highway: Kingston Road196 m
- parking lot198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality71th
- Edge activation26th
- Connectivity61th
- Amenity diversity88th
- Natural comfort31th
- Enclosure69th
Most similar parks
Closest in metric space across the five structural dimensions.
- Vrandenburgh ParkOther38
- Aldwych ParkUrban Plaza40
- DON MILLS MIDDLE SCHOOL - Building GroundsAthletic / Recreation Park39
- Livingstone ParkUrban Plaza40
- Rexlington ParkNeighbourhood Park36
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
- Arnell PlazaCivic Square50
- Leslie Grove ParkParkette73
- Market Lane ParkUrban Plaza67
- Mclevin Woods ParkRavine / Naturalized Park49
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 Bethune 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.
- 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. 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.