
City Wide Open Space
Neighbourhood Park, below average overall (score 28, rank ~22th percentile). Strongest: enclosure; weakest: amenity diversity.
No photograph yet. If you have one of City Wide Open Space, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
City Wide Open Space scores 28 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (48). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 2.64 ha
Getting around
No walking paths mapped in OpenStreetMap.
No seating mapped in OpenStreetMap.
Nearest parking 7 m away. None of the 15 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 59%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 28 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 enclosure score (67) is middle of the pack and its connectivity (52) is also above-average (9 mid-rise buildings frame the edge with passive surveillance).
What limits this park
City Wide Open Space is held back by amenity diversity (0, bottom quartile); border-vacuum risk is also elevated (48).
Most distinctive characteristic
Most distinctive feature: exceptionally low amenity diversity (0, bottom quartile).
Jacobs reading
City Wide Open Space is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Tradeoffs
- The park is enclosed by buildings (67) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- Strong underperformer relative to its cohort: raw 28 vs an expected 40 (gap -12).
Typology classification
Classified as Neighbourhood Park: 2.6 ha, framed by 9 mid-rise vs 0 towers. Secondary read: Waterfront Park (nearest waterbody within ~39 m).
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) and 6 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 14 sidewalk segments within 50 m; 10 street intersections within 100 m; 7 bus stops within a 400 m walk; 0 estimated access points across ~1,025 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. All data sources.
Amenity Diversity
No amenities recorded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; 21.5% inside the ravine system; nearest waterbody ~39 m. Reading: water-cooled. Source coverage: ravine, waterbodies. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.
Enclosure / Eyes on Park
106 buildings within 25 m of the park edge (9 mid-rise, 97 low-rise, 0 tower); avg edge height 5.1 m (~2 floors); 10.3 buildings per 100 m of 1,025 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 9 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, 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: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (0)
No amenities recorded for this park.
Nearby active-edge features (22)
- transit stop: Birchmount Road at Canadian Road1 m
- parking lot7 m
- parking lot8 m
- transit stop: Birchmount Road at Canadian Road25 m
- parking lot27 m
- parking lot31 m
- parking lot66 m
- parking lot73 m
- restaurant: MexiTaco Cantina124 m
- parking lot134 m
- parking lot151 m
- parking lot159 m
- parking lot159 m
- parking lot178 m
- transit stop: Birchmount Road at Vauxhall Drive180 m
- restaurant: Subway181 m
- parking lot182 m
- transit stop: Birchmount Road at Ellesmere Road183 m
- parking lot186 m
- restaurant: Kornerstone186 m
- parking lot189 m
- parking lot194 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality22th
- Edge activation34th
- Connectivity63th
- Amenity diversity21th
- Natural comfort31th
- Enclosure67th
Most similar parks
Closest in metric space across the five structural dimensions.
- Gustav ParketteParkette33
- Avro ParkParkette32
- King George West ParketteParkette32
- Knotwood ParkParkette34
- LAKESHORE COLLEGIATE INSTITUTE - Building GroundsNeighbourhood Park29
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park76
- Leslie Grove ParkParkette73
- Bellevue Square ParkCivic Square73
- Toronto ZooWaterfront Park68
- David Crombie ParkCorridor / Linear Park71
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 Space matters. 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.
- 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: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.