Edithvale Park
Corridor / Linear Park, in the top tier overall (score 49, rank ~94th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by DK Lo via Google Places · cached 5/9/2026
Edithvale Park scores 48.5 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (16). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 3.52 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 49 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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- Connectivity (77) significantly outpaces natural comfort (48) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (69) but the surrounding streets are quiet (edge activation 16) — frame without animation.
- Strong physical conditions (score 49) but weak observed activity signals (10) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (77) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- A modest overperformer for its corridor / linear park typology (+12 vs the median in medium Corridor / Linear Park).
Typology classification
Classified as Corridor / Linear Park: shape elongation 2.1× a circle of equal area. Secondary read: Athletic / Recreation Park (50% of amenity types are athletic (basketball, sports_field, tennis)).
Edge Activation
Within 100 m of the park edge: 4 active uses (transit_stop, retail) and 3 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 35 mapped paths/walkways and 36 sidewalk segments within 50 m; 20 street intersections within 100 m; 12 transit stops within a 400 m walk; 15 estimated access points across ~1,422 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
6 distinct amenity types in the park (basketball, community_centre, fitness, playground, sports_field, tennis). 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: ~11.9% effective canopy (7.5% from contiguous tree polygons + scattered tree density); nearest waterbody ~1357 m; 60 city-mapped trees inside the polygon (17.0/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
148 buildings within 25 m of the park edge (13 mid-rise, 135 low-rise, 0 tower); avg edge height 5.7 m (~2 floors); 10.4 buildings per 100 m of 1,422 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 13 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. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they 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 (6 types · 6 records)
- basketball
- community centre
- fitness
- playground
- sports field
- tennis
Nearby active-edge features (16)
- parking lot0 m
- parking lot0 m
- parking lot0 m
- transit stop — Lorraine Drive1 m
- transit stop — Edithvale Drive26 m
- transit stop — Carney Road64 m
- retail — Bohor Salon & Spa83 m
- retail — Cornerstone Bookstop103 m
- parking lot103 m
- transit stop — Talbot Road107 m
- parking lot109 m
- parking lot111 m
- transit stop — Talbot Road140 m
- parking lot171 m
- parking lot175 m
- parking lot186 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality94th
- Edge activation74th
- Connectivity97th
- Amenity diversity99th
- Natural comfort56th
- Enclosure66th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stan Wadlow ParkNeighbourhood Park52
- Dentonia ParkAthletic / Recreation Park47
- Milliken ParkDestination Park46
- Irving W. Chapley ParkAthletic / Recreation Park46
- Smithfield ParkAthletic / Recreation Park49
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkWaterfront Park25
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.
“Leafy neighborhood park providing play structures, ball diamonds, a basketball court & paved paths.” — Google editorial summary
p79 citywide · p88 within Corridor / Linear Park
Source: Google Places API · match high (0.96 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Edithvale 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.
- 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 — 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.