
Elizabeth Simcoe Park
Neighbourhood Park, middle of the pack overall (score 37, rank ~62th percentile). Strongest: amenity diversity; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Elizabeth Simcoe Park scores 37.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 4.10 ha
What's here
Weighted across six dimensions · confidence 68%
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 37 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
Elizabeth Simcoe Park works because its amenity diversity score (39) is in the top tier.
What limits this park
Elizabeth Simcoe Park 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 amenity diversity (39, top decile).
Jacobs reading
Elizabeth Simcoe Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (61) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- Citywide rank is high (62nd) but typology rank is more modest (41st): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Neighbourhood Park: 4.1 ha, framed by 0 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 1 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 3 mapped paths/walkways and 21 sidewalk segments within 50 m; 6 street intersections within 100 m; 0 transit stops within a 400 m walk; 6 estimated access points across ~967 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
5 distinct amenity types in the park (playground, tennis, bench, shelter, sports_field). 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 components for this park: ~6.3% effective canopy (0.5% from contiguous tree polygons + scattered tree density); nearest waterbody ~444 m; 37 city-mapped trees inside the polygon (9.0/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
135 buildings within 25 m of the park edge (0 mid-rise, 135 low-rise, 0 tower); avg edge height 4.9 m (~2 floors); 14.0 buildings per 100 m of 967 m perimeter (strong 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. 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 (5 types · 16 records)
- playground
- tennis
- bench
- shelter
- sports field
Nearby active-edge features (1)
- parking lot10 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality62th
- Edge activation42th
- Connectivity45th
- Amenity diversity91th
- Natural comfort40th
- Enclosure43th
Most similar parks
Closest in metric space across the five structural dimensions.
- Rockford ParkAthletic / Recreation Park37
- Pinto ParkNeighbourhood Park37
- Norseman Heights ParkNeighbourhood Park39
- Banbury ParkNeighbourhood Park41
- Bond ParkNeighbourhood Park37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Leslie Grove ParkParkette73
- Market Lane ParkUrban Plaza67
- Ryerson Community ParkUrban Plaza62
- Bellevue Square ParkCivic Square73
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 Elizabeth Simcoe Parkmatters. 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. 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.