East Mall Animal Service
Other, near the bottom of the city overall (score 24, rank ~10th percentile). Strongest: edge activation; weakest: enclosure.
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East Mall Animal Service scores 24 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. 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 · 0.49 ha
Getting around
No walking paths mapped in OpenStreetMap.
No seating mapped in OpenStreetMap.
Parking inside the park. None of the 11 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 63%
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.Grounds of a City building, not a designated park. It is left out of park rankings.
Explain this score
Where did the 24 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
East Mall Animal Service works because its edge activation score (0) is middle of the pack.
What limits this park
East Mall Animal Service is held back by enclosure (45, bottom quartile): no mid-rise frontage to provide eyes on the park; border-vacuum risk is also elevated (48).
Most distinctive characteristic
Most distinctive feature: exceptionally low enclosure (45, bottom quartile).
Jacobs reading
East Mall Animal Service is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Typology classification
Classified as Other: does not meet any specific typology threshold (0.5 ha, 0 amenity types, frontage 2.0/100m)
Edge Activation
Within 100 m of the park edge: 0 active uses (none) 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: 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 6 sidewalk segments within 50 m; 2 street intersections within 100 m; 7 transit stops within a 400 m walk; 0 estimated access points across ~404 m of perimeter. moderate edge density, small 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: 8.8% estimated tree canopy; nearest waterbody ~1085 m; 1 city-mapped trees inside the polygon (1.0/ha). Reading: exposed. Source coverage: treed_area, 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
8 buildings within 25 m of the park edge (0 mid-rise, 8 low-rise, 0 tower); avg edge height 5.6 m (~2 floors); 2.0 buildings per 100 m of 404 m perimeter (moderate frontage density); edges are barely there or single-storey; no towers immediately adjacent. "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: 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: 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 (16)
- parking lot0 m
- parking lot0 m
- parking lot41 m
- parking lot45 m
- parking lot57 m
- parking lot59 m
- parking lot123 m
- parking lot134 m
- parking lot145 m
- rail145 m
- rail: Galt Subdivision150 m
- rail: Galt Subdivision154 m
- rail: Galt Subdivision159 m
- rail179 m
- parking lot186 m
- parking lot198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality10th
- Edge activation62th
- Connectivity36th
- Amenity diversity52th
- Natural comfort49th
- Enclosure10th
Most similar parks
Closest in metric space across the five structural dimensions.
- Humber River WatercourseWaterfront Park23
- Rosedale Ravine LandsRavine / Naturalized Park27
- Humber River WatercourseWaterfront Park23
- City Wide Open SpaceWaterfront Park28
- City Wide Open SpaceOther19
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette73
- Kew GardensNeighbourhood Park75
- Bellevue Square ParkCivic Square73
- David Crombie ParkCorridor / Linear Park71
- Shaw ParkParkette69
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 East Mall Animal Service 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.
- 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
- 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.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.