
City Wide Open Space
Corridor / Linear Park, near the bottom of the city overall (score 19, rank ~2th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 18.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 0.02 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 19 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
- Connectivity (50) significantly outpaces natural comfort (24) — well placed in the city but offers little shade or ecological respite.
Performance in context
- Strong underperformer relative to its cohort — raw 19 vs an expected 32 (gap -13).
Typology classification
Classified as Corridor / Linear Park: shape elongation 23.9× a circle of equal area
Edge Activation
Within 100 m of the park edge: 7 active uses (transit_stop, cafe) and 10 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 3 mapped paths/walkways and 16 sidewalk segments within 50 m; 7 street intersections within 100 m; 14 transit stops within a 400 m walk; 0 estimated access points across ~1,084 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: 0.0% estimated tree canopy; nearest waterbody ~754 m. Reading: exposed. Source coverage: 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 (7 mid-rise, 7 low-rise, 0 tower); avg edge height 8.3 m (~3 floors); 1.3 buildings per 100 m of 1,084 m perimeter — thin frontage — significant blank-edge share; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 7 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Eglinton Avenue West, Eglinton Avenue West, Eglinton Avenue West, 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 (33)
- transit stop — Lloyd Manor Road14 m
- transit stop — South side stop - Eglinton Avenue West22 m
- highway — Eglinton Avenue West26 m
- highway — Eglinton Avenue West30 m
- parking lot31 m
- transit stop — Martin Grove Road34 m
- transit stop — Widdicombe Hill Boulevard43 m
- cafe — Tim Hortons43 m
- highway — Eglinton Avenue West46 m
- highway — Eglinton Avenue West52 m
- highway — Eglinton Avenue West53 m
- parking lot58 m
- highway — Eglinton Avenue West59 m
- parking lot59 m
- highway — Eglinton Avenue West72 m
- transit stop — Martin Grove Road73 m
- transit stop — Winterton Drive84 m
- parking lot101 m
- transit stop — Martin Grove Rd at Eglinton Avenue West102 m
- transit stop — Nottinghill Gate104 m
- transit stop — North side stop - Eglinton Avenue West114 m
- parking lot129 m
- parking lot130 m
- highway — Eglinton Avenue West133 m
- transit stop — 201 Lloyd Manor Rd - Lloyd Manor Place (Metro)143 m
- retail — Q-Market155 m
- highway — Eglinton Avenue West157 m
- cafe — Starbucks158 m
- retail — Perfect 10 Nails & Spa160 m
- retail — Cadet Cleaners168 m
- retail — Classic Tan170 m
- retail — Hunny Pot Cannabis172 m
- parking lot183 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality2th
- Edge activation17th
- Connectivity54th
- Amenity diversity25th
- Natural comfort4th
- Enclosure16th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceCorridor / Linear Park19
- City Wide Open SpaceTower-Community Green Space19
- City Wide Open SpaceOther19
- North York Hydro Green SpaceCorridor / Linear Park20
- City Wide Open SpaceOther20
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park71
- Leslie Grove ParkParkette68
- Market Lane ParkUrban Plaza63
- Sir Winston Churchill ParkRavine / Naturalized Park69
- Bellevue Square ParkCivic Square66
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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- 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.