
City Wide Open Space
Urban Plaza, one of the city's strongest overall (score 55, rank ~97th percentile). Strongest: edge activation; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
City Wide Open Space scores 54.8 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.17 ha
What's here
Weighted across six dimensions · confidence 63%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 55 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
City Wide Open Space works because its edge activation score (62) is one of the city's strongest and its enclosure (77) is also top quartile (its perimeter is lined with active uses).
What limits this park
City Wide Open Space doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (62, top decile).
Jacobs reading
City Wide Open Space sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- This park is a strong overperformer for its cohort: raw 55 versus an expected 38 for similar parks (pocket Urban Plaza) (gap +17).
Typology classification
Classified as Urban Plaza: 1688 m², paved (0% canopy), 27.8 buildings/100 m
Edge Activation
Within 100 m of the park edge: 21 active uses (restaurant, retail, transit_stop, cafe) 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 12 sidewalk segments within 50 m; 7 street intersections within 100 m; 35 transit stops within a 400 m walk; 0 estimated access points across ~187 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
2 distinct amenity types in the park (art, picnic). 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 requires inputs not yet loaded for this park (Treed Area / Ravine / Waterbodies / Street Trees). Score is held at a neutral 50 with low confidence. Read with caution.
Source: Treed Area / Ravine / Waterbodies / Street Trees
Enclosure / Eyes on Park
52 buildings within 25 m of the park edge (22 mid-rise, 15 low-rise, 15 tower); avg edge height 34.5 m (~12 floors); 27.8 buildings per 100 m of 187 m perimeter (strong frontage density); edges lean tall but still framed; 15 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 22 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. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" that 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 (2 types · 2 records)
- art
- picnic
Nearby active-edge features (75)
- transit stop: St. Joseph Street0 m
- parking lot6 m
- transit stop: St. Joseph Street24 m
- cafe: Second Cup31 m
- retail: 7-Eleven31 m
- retail: Hair District31 m
- restaurant: Sol Pizza49 m
- restaurant: Petit Potato50 m
- restaurant: Tokyo Sushi61 m
- retail: Bay Street Clinic of Electrolysis And Skincare63 m
- restaurant: Petit Potato63 m
- restaurant: Pizza Nova64 m
- retail: Pets66 m
- retail: Hasty Market68 m
- restaurant: Super Chicken68 m
- retail: Flowers on Bay72 m
- restaurant: Holychoco Toronto79 m
- retail: Telus81 m
- retail: Binns Kitchen + Bath Design82 m
- retail: HM Dry Cleaner84 m
- parking lot85 m
- retail: Suzuki Shiatsu88 m
- restaurant: Firkin on Bay Street97 m
- restaurant: The Foxes Den101 m
- retail104 m
- cafe: Kelly's Cafe113 m
- restaurant: Rolltation116 m
- parking lot123 m
- parking lot125 m
- parking lot127 m
- cafe: Tim Hortons131 m
- retail: New Wave Travel144 m
- restaurant: Freshii150 m
- retail: Ralph's Barber Shop152 m
- parking lot153 m
- cafe: Togo cafe156 m
- parking lot157 m
- restaurant: ramen RAIJIN159 m
- parking lot161 m
- transit stop: Bay Street163 m
- restaurant: Subway163 m
- retail: The Cutting Room164 m
- restaurant: Ali Baba's165 m
- retail: Maison Akari165 m
- retail: Robert Gage Hair Salon165 m
- retail: Rapunzel Hair166 m
- retail: Coaté nails168 m
- cafe: City Bakery & Cafe169 m
- retail: Shoe Therapy Quality Shoe Repair169 m
- parking lot169 m
- retail: Tailspin Dog Spa170 m
- parking lot171 m
- retail: ASP Security Services172 m
- restaurant: Sushi on bay172 m
- parking lot173 m
- parking lot176 m
- parking lot176 m
- retail: Ralph’s Barber Shop176 m
- transit stop: Bay Street177 m
- retail: Lu Dream Spa178 m
- retail: Reflex Copy & Digital Printing178 m
- retail: Platis Cleaners179 m
- restaurant: Lao Lao Bar179 m
- restaurant: Bar Volo180 m
- restaurant: Avelo181 m
- retail: Eleven182 m
- retail: Five Condominiums184 m
- cafe: Nabulu Coffee188 m
- transit stop: Wellesley Street West190 m
- retail: My Touch Beauty Spa & Salon191 m
- parking lot194 m
- retail: Bruno Malfara Hair Studio196 m
- restaurant: Ethiopian House Restaurant196 m
- parking lot197 m
- retail: Zazo Hair Studio199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality97th
- Edge activation98th
- Connectivity69th
- Amenity diversity68th
- Natural comfort56th
- Enclosure80th
Most similar parks
Closest in metric space across the five structural dimensions.
- Dr. Lillian McGregor ParkUrban Plaza56
- Parliament Square ParkCivic Square57
- HOLY CROSS CATHOLIC SECONDARY SCHOOL - Building GroundsParkette54
- Breadalbane ParkUrban Plaza52
- Wellesley - Magill ParkUrban Plaza49
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park21
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.
- 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. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- 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.