Frost Park
Parkette, above average overall (score 42, rank ~82th percentile). Strongest: amenity diversity; weakest: enclosure.
Photo by Umesh Govinda via Google Places · cached 5/9/2026
Frost Park scores 41.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.33 ha
Weighted across six dimensions · confidence 70%
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 42 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
Frost Park works because its amenity diversity score (12) is above average and its edge activation (17) is also top quartile.
What limits this park
Frost Park is held back by enclosure (60, below-average): no mid-rise frontage to provide eyes on the park.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (12, top quartile).
Jacobs reading
Frost Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- A modest overperformer for its parkette typology (+6 vs the median in small Parkette).
Typology classification
Classified as Parkette: small (3348 m²) with strong building frontage (16.7 per 100 m)
Edge Activation
Within 100 m of the park edge: 2 active uses (retail) 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 5 mapped paths/walkways and 6 sidewalk segments within 50 m; 5 street intersections within 100 m; 8 transit stops within a 400 m walk; 5 estimated access points across ~258 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
1 distinct amenity types in the park (playground). 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: 12.5% estimated tree canopy; nearest waterbody ~922 m; 14 city-mapped trees inside the polygon (14.0/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
43 buildings within 25 m of the park edge (0 mid-rise, 43 low-rise, 0 tower); avg edge height 4.1 m (~1 floors); 16.7 buildings per 100 m of 258 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
Park edges face the city. No significant border vacuum detected.
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 (1 types · 1 records)
- playground
Nearby active-edge features (19)
- retail: Canadian Tire39 m
- retail: Kipling Variety Store70 m
- parking lot91 m
- parking lot117 m
- retail128 m
- parking lot135 m
- parking lot140 m
- transit stop: Kipling Ave at Redwater Dr South Side153 m
- retail: Active Green + Ross158 m
- parking lot160 m
- parking lot161 m
- parking lot163 m
- restaurant: Pizza Pizza165 m
- transit stop: Kipling Ave at Rexdale Blvd165 m
- retail: Money Mart168 m
- parking lot171 m
- transit stop: Rexdale Blvd at Kipling Ave175 m
- parking lot179 m
- transit stop: Kipling Avenue at Redwater Drive199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality82th
- Edge activation76th
- Connectivity71th
- Amenity diversity78th
- Natural comfort63th
- Enclosure33th
Most similar parks
Closest in metric space across the five structural dimensions.
- Terraview ParkWaterfront Park43
- Ames ParkCorridor / Linear Park40
- Colony ParkRavine / Naturalized Park44
- Chartland ParkNeighbourhood Park43
- Cedargrove ParkNeighbourhood Park43
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette68
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Market Lane ParkUrban Plaza63
- Joseph Burr Tyrrell ParkUrban Plaza50
- Trca Lands ( 26)Ravine / Naturalized Park27
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p35 citywide · p31 within Parkette
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Frost 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.
- 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.
- 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.