
Duncairn Park
Corridor / Linear Park, above average overall (score 41, rank ~79th percentile). Strongest: connectivity; weakest: edge activation.
Photo by Christian Haikala via Google Places · cached 5/9/2026
Duncairn Park scores 41 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 6.01 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Explain this score
Where did the 41 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
Duncairn Park works because its connectivity score (80) is one of the city's strongest and its amenity diversity (12) is also top quartile (29 transit stops sit within a 400 m walk; 29 intersections fall within 100 m of the edge).
What limits this park
Duncairn Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 36.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (80, top decile).
Jacobs reading
Duncairn 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 (63) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- A modest overperformer for its corridor / linear park typology (+6 vs the median in large Corridor / Linear Park).
Typology classification
Classified as Corridor / Linear Park: shape elongation 4.7× a circle of equal area. Secondary read: Neighbourhood Park (6.0 ha, framed by 15 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) and 6 dead/hostile uses (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 38 mapped paths/walkways and 94 sidewalk segments within 50 m; 29 street intersections within 100 m; 29 transit stops within a 400 m walk; 35 estimated access points across ~4,057 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 (playground). 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: 26.9% estimated tree canopy; nearest waterbody ~44 m; 62 city-mapped trees inside the polygon (10.3/ha). Reading: water-cooled. 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
285 buildings within 25 m of the park edge (15 mid-rise, 270 low-rise, 0 tower); avg edge height 5.7 m (~2 floors); 7.0 buildings per 100 m of 4,057 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 15 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot. 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 (1 types · 1 records)
- playground
Nearby active-edge features (22)
- parking lot23 m
- parking lot32 m
- parking lot44 m
- transit stop: Opposite 230 The Donway West67 m
- parking lot72 m
- parking lot74 m
- transit stop: The Donway W at Lawrence Ave E78 m
- parking lot94 m
- parking lot102 m
- parking lot113 m
- parking lot119 m
- transit stop: Chipping Road144 m
- transit stop: Chipping Road152 m
- parking lot152 m
- parking lot158 m
- parking lot173 m
- parking lot178 m
- parking lot179 m
- parking lot180 m
- restaurant: Matsuda teppanyaki sushi181 m
- parking lot187 m
- parking lot191 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality79th
- Edge activation50th
- Connectivity99th
- Amenity diversity82th
- Natural comfort80th
- Enclosure50th
Most similar parks
Closest in metric space across the five structural dimensions.
- Alex Marchetti ParkWaterfront Park37
- Lynedock ParkRavine / Naturalized Park40
- Warden Woods ParkRavine / Naturalized Park34
- Guildwood Village ParkCorridor / Linear Park42
- Rexdale ParkWaterfront Park45
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Joseph Burr Tyrrell ParkUrban Plaza50
- Queen'S Quay Traffic IslandWaterfront Park49
- Bernard Avenue Road AllowanceUrban Plaza54
- Danforth Gardens ParkParkette42
- Simcoe ParkTower-Community Green Space51
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p18 citywide · p26 within Corridor / Linear Park
Source: Google Places API · match high (0.92 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Duncairn 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.