Kenway Park
Parkette, middle of the pack overall (score 32, rank ~40th percentile). Strongest: connectivity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Kenway Park scores 32.2 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 · 0.43 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 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
Kenway Park works because its connectivity score (69) is in the top tier and its amenity diversity (21) is also above-average (32 transit stops sit within a 400 m walk; 9 intersections fall within 100 m of the edge).
What limits this park
Kenway Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (69, top decile).
Jacobs reading
Kenway 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 (65) 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 Parkette: small (4281 m²) with strong building frontage (12.8 per 100 m)
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop) and 21 dead/hostile uses (rail, parking_lot, 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 3 mapped paths/walkways and 21 sidewalk segments within 50 m; 9 street intersections within 100 m; 32 transit stops within a 400 m walk; 2 estimated access points across ~297 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
2 distinct amenity types in the park (playground, bench). 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: ~14.7% effective canopy (3.6% from contiguous tree polygons + scattered tree density); nearest waterbody ~216 m; 21 city-mapped trees inside the polygon (21.0/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
38 buildings within 25 m of the park edge (1 mid-rise, 36 low-rise, 1 tower); avg edge height 5.5 m (~2 floors); 12.8 buildings per 100 m of 297 m perimeter (strong frontage density); edges are barely there or single-storey; 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Bloor Street West, Bloor Street West, Bloor Street West, Bloor Street West, parking_lot, Bloor Street West, parking_lot, Bloor Street West. 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 (2 types · 6 records)
- playground
- bench
Nearby active-edge features (54)
- highway: Bloor Street West12 m
- parking lot15 m
- highway: Bloor Street West16 m
- highway: Bloor Street West18 m
- highway: Bloor Street West18 m
- transit stop: Green Lanes29 m
- highway: Bloor Street West32 m
- transit stop: Green Lanes36 m
- transit stop: Green Lanes38 m
- highway: Bloor Street West40 m
- parking lot47 m
- rail: Galt Subdivision62 m
- highway: Bloor Street West73 m
- highway: Bloor Street West76 m
- rail79 m
- rail: Galt Subdivision80 m
- highway: Bloor Street West81 m
- parking lot: TTC Islington Station Main Lot81 m
- rail: Galt Subdivision84 m
- rail: Line 2 Bloor-Danforth86 m
- rail: Galt Subdivision91 m
- rail: Line 2 Bloor-Danforth92 m
- parking lot92 m
- highway: Bloor Street West94 m
- highway: Bloor Street West116 m
- transit stop: Islington Station117 m
- parking lot121 m
- rail: Line 2 Bloor-Danforth126 m
- transit stop: Islington Subway Bus Terminal128 m
- highway: Bloor Street West129 m
- rail: Line 2 Bloor-Danforth131 m
- rail: Galt Subdivision131 m
- transit stop: Islington Station133 m
- rail: Galt Subdivision133 m
- transit stop135 m
- rail: Galt Subdivision135 m
- transit stop: Islington Subway Drop-off136 m
- parking lot137 m
- highway: Bloor Street West146 m
- transit stop: Islington Station150 m
- transit stop: Islington156 m
- parking lot162 m
- highway: Bloor Street West162 m
- retail: Eyes on Bloor163 m
- transit stop: Islington164 m
- highway: Bloor Street West164 m
- transit stop: Islington Avenue173 m
- restaurant: Hyderabad Spices South Indian Cuisine174 m
- retail: 180 Vape Store179 m
- parking lot: TTC Islington Station Fieldway Lot184 m
- transit stop188 m
- highway: Bloor Street West195 m
- transit stop: Parking Lot Entrance196 m
- highway: Bloor Street West196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality40th
- Edge activation32th
- Connectivity90th
- Amenity diversity71th
- Natural comfort67th
- Enclosure60th
Most similar parks
Closest in metric space across the five structural dimensions.
- Muirlands ParkNeighbourhood Park39
- Harvest Moon ParkNeighbourhood Park40
- Megan ParkNeighbourhood Park38
- Silverhill ParkNeighbourhood Park41
- Spenvalley ParkRavine / Naturalized Park40
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Leslie Grove ParkParkette73
- Marita Paine ParkOther47
- Manor Community GreenUrban Plaza64
- Queen'S Quay Traffic IslandWaterfront 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 Kenway 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.