
Edgeley Park
Corridor / Linear Park, above average overall (score 42, rank ~83th percentile). Strongest: amenity diversity; weakest: enclosure.
Photo by Frank Dargazli via Google Places · cached 5/9/2026
Edgeley Park scores 42.2 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 4.21 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 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
What limits this park
Most distinctive characteristic
Jacobs reading
Performance in context
- A modest overperformer for its corridor / linear park typology (+6 vs the median in medium Corridor / Linear Park).
Typology classification
Classified as Corridor / Linear Park: shape elongation 2.5× a circle of equal area. Secondary read: Athletic / Recreation Park (50% of amenity types are athletic (basketball, tennis)).
Edge Activation
Within 100 m of the park edge: 8 active uses (transit_stop) and 11 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 14 mapped paths/walkways and 46 sidewalk segments within 50 m; 8 street intersections within 100 m; 21 transit stops within a 400 m walk; 10 estimated access points across ~1,791 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
4 distinct amenity types in the park (basketball, community_centre, playground, 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: ~14.8% effective canopy (9.1% from contiguous tree polygons + scattered tree density); 19.1% inside the ravine system; nearest waterbody ~8 m; 89 city-mapped trees inside the polygon (21.2/ha). Reading: water-cooled. Source coverage: treed_area, ravine, 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
168 buildings within 25 m of the park edge (1 mid-rise, 167 low-rise, 0 tower); avg edge height 5.0 m (~2 floors); 9.4 buildings per 100 m of 1,791 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 1 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 (4 types · 4 records)
- basketball
- community centre
- playground
- tennis
Nearby active-edge features (38)
- parking lot0 m
- transit stop — Driftwood Ave at Jane St4 m
- transit stop — Driftwood Ave at Jane St18 m
- transit stop — Driftwood Ave at Laskay Cres33 m
- transit stop — Jane St at Driftwood Ave33 m
- parking lot44 m
- transit stop — Jane St at Milo Park Gate45 m
- parking lot49 m
- parking lot51 m
- parking lot54 m
- transit stop — 4359 Jane Street59 m
- parking lot61 m
- transit stop69 m
- transit stop — Driftwood Ave at Laskay Cres69 m
- parking lot84 m
- parking lot91 m
- parking lot92 m
- parking lot99 m
- parking lot100 m
- parking lot106 m
- transit stop — Driftwood Ave at Driftwood Court110 m
- parking lot118 m
- parking lot124 m
- transit stop — Driftwood Ave at Driftwood Court128 m
- parking lot129 m
- transit stop — Driftwood Ave at Cobbler Cres130 m
- transit stop — Driftwood Ave at Cobbler Cres135 m
- parking lot149 m
- parking lot155 m
- parking lot161 m
- parking lot170 m
- parking lot183 m
- parking lot185 m
- parking lot186 m
- transit stop — Driftwood Ave at Hoover Cres193 m
- parking lot195 m
- parking lot196 m
- parking lot200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality83th
- Edge activation46th
- Connectivity90th
- Amenity diversity97th
- Natural comfort76th
- Enclosure34th
Most similar parks
Closest in metric space across the five structural dimensions.
- Marie Curtis ParkWaterfront Park37
- Pine Point ParkWaterfront Park36
- Roding ParkRavine / Naturalized Park43
- Raymore ParkRavine / Naturalized Park43
- Masseygrove ParkRavine / Naturalized Park37
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Bernard Avenue Road AllowanceUrban Plaza54
- Joseph Burr Tyrrell ParkUrban Plaza50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Market Lane ParkUrban Plaza63
- Queen'S Quay Traffic IslandWaterfront Park49
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.
p9 citywide · p13 within Corridor / Linear Park
Source: Google Places API · match high (0.92 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 consistent rhythm across the day. Source coverage: google-places.
Does this score feel accurate?
Your read of Edgeley 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.
- 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.