City Wide Open Space
Urban Plaza, below average overall (score 29, rank ~27th percentile). Strongest: enclosure; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 29.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 0.07 ha
Weighted across six dimensions · confidence 57%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 29 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
- The park is enclosed by buildings (80) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- 5 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: pocket Urban Plaza).
Typology classification
Classified as Urban Plaza: 677 m², paved (0% canopy), 19.1 buildings/100 m
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 2 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 0 mapped paths/walkways and 5 sidewalk segments within 50 m; 3 street intersections within 100 m; 24 transit stops within a 400 m walk; 0 estimated access points across ~131 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: ~1.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1019 m; 2 city-mapped trees inside the polygon (2.0/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
25 buildings within 25 m of the park edge (7 mid-rise, 13 low-rise, 5 tower); avg edge height 27.4 m (~9 floors); 19.1 buildings per 100 m of 131 m perimeter — strong frontage density; edges lean tall but still framed; 5 towers ≥ 40 m within 25 m of the edge. "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: 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 (69)
- parking lot41 m
- parking lot43 m
- parking lot107 m
- parking lot115 m
- parking lot123 m
- parking lot133 m
- parking lot134 m
- retail — Balance Hair and Nail Studio144 m
- retail — Kira Kira Nail and Beauty144 m
- retail — Foxy Nail and Spa144 m
- retail — Lips Boutique by J.K.A.147 m
- retail — Skin Love Esthetic147 m
- restaurant — Sansotei Ramen149 m
- cafe — Gong Cha151 m
- restaurant — Oh! Bar151 m
- parking lot152 m
- restaurant — Yu Szechuan Cuisine153 m
- retail — iBAKE153 m
- restaurant — Mabu Station153 m
- retail — Cola Pet153 m
- restaurant — Tasty Hut153 m
- restaurant — MeNami154 m
- restaurant — Magic Noodle155 m
- restaurant — Korean Chinese Restaurant156 m
- restaurant — Meet You156 m
- cafe — Gong Cha157 m
- restaurant — VIPS Sushi157 m
- restaurant — Buk Chang Dong Soon Tofu Korean Restaurant159 m
- restaurant — Zhangliang159 m
- restaurant — Authentic Japanese Food160 m
- restaurant — Gol’s Lanzhou Noodle161 m
- restaurant — Angus Pho House161 m
- restaurant — Pine House Cafe161 m
- restaurant — Wing Machine163 m
- retail — In Style Hair Salon165 m
- parking lot166 m
- restaurant — Pizza Shab167 m
- restaurant — N Dolphin Karaoke167 m
- retail — Jealousy Beauty168 m
- parking lot169 m
- retail — Selling Persian Magazines and Books169 m
- parking lot169 m
- restaurant — Sang-Ji Fried Bao170 m
- restaurant — Jin's Mi-Fen170 m
- parking lot171 m
- cafe — Cafe Bene172 m
- parking lot173 m
- restaurant — Ling BBQ176 m
- highway — Yonge Street176 m
- restaurant — North Stars Bar and Grill177 m
- restaurant — Hot-Star Fried Chicken178 m
- highway — Yonge Street179 m
- highway — Yonge Street179 m
- restaurant — Lim Ga Ne Korean Restaurant179 m
- restaurant — Yonge Billiard Club181 m
- restaurant — Pho Vietnamese Delight181 m
- restaurant — Vietnamese Delight182 m
- highway — Yonge Street185 m
- parking lot188 m
- highway — Yonge Street189 m
- transit stop — Yonge Street at Byng Avenue190 m
- highway — Yonge Street192 m
- transit stop — Yonge St. @ Kempford Blvd.192 m
- transit stop — Yonge Street at Kempford Boulevard192 m
- restaurant — Misato Sushi193 m
- restaurant — Kayagum194 m
- retail — Daisy Nails & Spa194 m
- restaurant — Pastel Creperie196 m
- cafe — Tim Hortons196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality27th
- Edge activation0th
- Connectivity41th
- Amenity diversity1th
- Natural comfort17th
- Enclosure84th
Most similar parks
Closest in metric space across the five structural dimensions.
- Eglinton ParkCorridor / Linear Park32
- Elm Ridge Drive Traffic IslandCorridor / Linear Park32
- City Wide Open SpaceWaterfront Park33
- Old Mill ParketteRavine / Naturalized Park31
- Hillingdon - Woodrow ParketteUrban Plaza32
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park71
- Leslie Grove ParkParkette68
- Toronto ZooWaterfront Park57
- 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.
- 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.