City Wide Open Space
Parkette, middle of the pack overall (score 38, rank ~66th percentile). Strongest: natural comfort; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 37.6 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.09 ha
Weighted across six dimensions · confidence 61%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 38 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
Tradeoffs
- Natural comfort (77) significantly outpaces connectivity (51) — restorative but hard to reach for daily use.
- The park is enclosed by buildings (82) but the surrounding streets are quiet (edge activation 0) — frame without animation.
Performance in context
- A modest overperformer for its parkette typology (+6 vs the median in pocket Parkette).
Typology classification
Classified as Parkette: small (946 m²) with strong building frontage (6.8 per 100 m)
Edge Activation
Within 100 m of the park edge: 18 active uses (retail, restaurant, cafe, transit_stop) and 13 dead/hostile uses (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 12 sidewalk segments within 50 m; 5 street intersections within 100 m; 9 transit stops within a 400 m walk; 0 estimated access points across ~205 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
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 71.4% estimated tree canopy; nearest waterbody ~582 m. Reading: well-shaded. Source coverage: treed_area, waterbodies. 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
14 buildings within 25 m of the park edge (9 mid-rise, 5 low-rise, 0 tower); avg edge height 8.9 m (~3 floors); 6.8 buildings per 100 m of 205 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 9 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. 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 (0)
No amenities recorded for this park.
Nearby active-edge features (52)
- restaurant — Popeyes9 m
- parking lot16 m
- retail — Spyder Vapes19 m
- retail — Images Salon25 m
- retail — The Hearing Clinic29 m
- transit stop — Rylander Boulevard at Kingston Road34 m
- parking lot36 m
- restaurant — Eggsmart36 m
- restaurant — Mucho Burrito37 m
- cafe — Starbucks41 m
- restaurant — Subway43 m
- retail — Sherwin-Williams52 m
- restaurant — Wimpy's Diner60 m
- parking lot61 m
- parking lot64 m
- retail — Classic Fireplace and BBQ Store66 m
- parking lot74 m
- restaurant — Port Union Seafood74 m
- highway — Kingston Road75 m
- parking lot76 m
- highway — Kingston Road79 m
- retail — Pet Valu86 m
- retail — Hair Wave87 m
- retail — Lamana's Italian Bakery88 m
- highway — Kingston Road88 m
- retail — Rogers88 m
- retail — Dollarama90 m
- highway — Kingston Road92 m
- highway — Kingston Road93 m
- parking lot95 m
- highway — Kingston Road96 m
- retail — Emerald Cleaners100 m
- retail — Luv Dem Nails107 m
- parking lot115 m
- parking lot119 m
- parking lot120 m
- parking lot125 m
- highway — Kingston Road126 m
- parking lot129 m
- parking lot137 m
- parking lot138 m
- parking lot139 m
- highway — Kingston Road141 m
- parking lot148 m
- highway — Kingston Road155 m
- retail158 m
- retail — A Touch of Beauty Hair Salon173 m
- retail — Freedom Mobile175 m
- retail — Optical 20/20182 m
- highway — Highway 401 Collector186 m
- retail — Expedia CruiseShipCentres187 m
- parking lot188 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality66th
- Edge activation1th
- Connectivity58th
- Amenity diversity2th
- Natural comfort90th
- Enclosure86th
Most similar parks
Closest in metric space across the five structural dimensions.
- Austin Terrace Boulevard LandsParkette39
- Poplar Plains ParketteRavine / Naturalized Park40
- Thorogood GardensParkette39
- Prince Edward Viaduct ParketteCorridor / Linear Park31
- Chauncey - Islington ParketteParkette38
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette68
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Queen'S Quay Traffic IslandWaterfront Park49
- Bellevue Square ParkCivic Square66
- Sonya'S ParkUrban Plaza60
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 City Wide Open Spacematters. 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.
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.