Pellatt Parkette
Parkette, middle of the pack overall (score 39, rank ~70th percentile). Strongest: edge activation; weakest: connectivity.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Pellatt Parkette scores 38.7 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.59 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 39 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
Typology classification
Classified as Parkette: small (5930 m²) with strong building frontage (10.2 per 100 m)
Edge Activation
Within 100 m of the park edge: 6 active uses (restaurant, retail) and 2 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 2 mapped paths/walkways and 6 sidewalk segments within 50 m; 3 street intersections within 100 m; 2 transit stops within a 400 m walk; 3 estimated access points across ~401 m of perimeter. low edge density — significant 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: ~7.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~655 m; 10 city-mapped trees inside the polygon (10.0/ha). Reading: exposed. 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
41 buildings within 25 m of the park edge (0 mid-rise, 41 low-rise, 0 tower); avg edge height 5.5 m (~2 floors); 10.2 buildings per 100 m of 401 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: MacTier Subdivision. 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)
- playground
Nearby active-edge features (47)
- rail — MacTier Subdivision41 m
- retail80 m
- retail — LCBO80 m
- retail — Aigoo Food Mart85 m
- retail — Mark's91 m
- parking lot93 m
- restaurant — Jolly II Italian Restaurant98 m
- retail — My Furniture by Mattress To Door99 m
- parking lot101 m
- retail101 m
- retail — Sleep Country106 m
- retail107 m
- retail112 m
- parking lot117 m
- highway — Highway 401 Collector121 m
- highway — Highway 401 Collector125 m
- parking lot131 m
- retail131 m
- parking lot133 m
- highway — Highway 401 Express145 m
- retail — Dollar Tree145 m
- highway — Highway 401 Collector147 m
- retail148 m
- highway — Highway 401 Express150 m
- rail — MacTier Subdivision154 m
- rail — MacTier Subdivision155 m
- retail161 m
- restaurant — Wakame Sushi163 m
- retail167 m
- highway — Highway 401 Express169 m
- retail172 m
- retail — Beauty Supply Co174 m
- retail — Caldense Bakery174 m
- retail — Laura175 m
- retail181 m
- retail182 m
- highway — Highway 401 Express183 m
- retail — Artista Salon185 m
- highway — Highway 401 Collector186 m
- retail188 m
- parking lot188 m
- retail — The Brick188 m
- retail189 m
- parking lot189 m
- highway — Highway 401 Collector194 m
- retail194 m
- retail199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality70th
- Edge activation90th
- Connectivity29th
- Amenity diversity76th
- Natural comfort41th
- Enclosure38th
Most similar parks
Closest in metric space across the five structural dimensions.
- Weston Village ParkParkette39
- KEN COX COMMUNITY CENTRE - Building GroundsNeighbourhood Park34
- BATHURST QUAY PARKS YARD - Building GroundsWaterfront Park38
- Woodsworth ParketteParkette36
- Friars Lane BoulevardParkette39
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- High ParkRavine / Naturalized Park47
- Trca Lands ( 26)Ravine / Naturalized Park27
- Ramsden ParkRavine / Naturalized Park43
- Rouge ParkRavine / Naturalized Park28
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
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 Pellatt Parkettematters. 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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.
- 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.