
City Wide Open Space
Ravine / Naturalized Park, near the bottom of the city overall (score 20, rank ~3th 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 19.9 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.16 ha
Weighted across six dimensions · confidence 63%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 20 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
Performance in context
- Strong underperformer relative to its cohort — raw 20 vs an expected 36 (gap -16).
Typology classification
Classified as Ravine / Naturalized Park: 46% ravine overlap, 1% canopy
Edge Activation
Within 100 m of the park edge: 9 active uses (restaurant, retail, transit_stop) and 8 dead/hostile uses (highway, 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 0 mapped paths/walkways and 4 sidewalk segments within 50 m; 4 street intersections within 100 m; 10 transit stops within a 400 m walk; 0 estimated access points across ~483 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
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: 1.2% estimated tree canopy; 46.2% inside the ravine system; nearest waterbody ~382 m; 3 city-mapped trees inside the polygon (2.6/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, 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
20 buildings within 25 m of the park edge (0 mid-rise, 19 low-rise, 1 tower); avg edge height 6.2 m (~2 floors); 4.1 buildings per 100 m of 483 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 1 tower ≥ 40 m within 25 m of the edge. "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: Markham Road, Markham Road, Markham Road, 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 (38)
- restaurant — Masha'allah11 m
- highway — Markham Road21 m
- restaurant — Centro Pizza23 m
- highway — Markham Road29 m
- highway — Markham Road34 m
- retail — Markham Convenience41 m
- parking lot44 m
- retail — Mirror Beauty Salon44 m
- retail — Jaffna Tailors49 m
- retail — Clean Sweep Coin Laundry54 m
- highway — Markham Road55 m
- restaurant — Tim Choi59 m
- parking lot68 m
- transit stop — Markham Road at Luella Street69 m
- highway — Markham Road72 m
- restaurant — Tropics Restaurant & Bar72 m
- highway — Markham Road78 m
- parking lot108 m
- highway — Markham Road112 m
- highway — Markham Road113 m
- parking lot123 m
- transit stop — Markham Road at Cougar Court124 m
- retail — Janat Halal Meat131 m
- rail — Kingston Subdivision132 m
- rail — Kingston Subdivision133 m
- rail — Kingston Subdivision133 m
- restaurant — Best Kabab & Karahi136 m
- highway — Markham Road137 m
- parking lot138 m
- retail — Style's Unisex Hair Salon142 m
- retail — Bridal and Glamour Photo Studio146 m
- restaurant — Salam Halal Pizza & Chicken152 m
- parking lot152 m
- parking lot153 m
- parking lot167 m
- retail — Soft Touch Cleaners175 m
- parking lot185 m
- highway — Markham Road197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality3th
- Edge activation2th
- Connectivity23th
- Amenity diversity4th
- Natural comfort63th
- Enclosure22th
Most similar parks
Closest in metric space across the five structural dimensions.
- Public Access PropertyCorridor / Linear Park30
- Glen Rouge CampgroundRavine / Naturalized Park20
- Scarborough Hydro Green SpaceParkette30
- City Wide Open SpaceCorridor / Linear Park28
- City Wide Open SpaceParkette21
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette68
- Kew GardensNeighbourhood Park71
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bellevue Square ParkCivic Square66
- Market Lane ParkUrban Plaza63
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.
- 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.
- 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.