Waterfront Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (ravine-leaning)West Humber-Clairville (1)confidence moderatereal Toronto data

Wes Drainage Corridor

Waterfront Park, below average overall (score 27, rank ~17th percentile). Strongest: natural comfort; weakest: enclosure.

Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026

Wes Drainage Corridor scores 26.6 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is elevated (96). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:waterfront recreationlong walks

Area · 3.07 ha

Vitality Score

27/100

Weighted across six dimensions · confidence 63%

Data Confidence

26.6 / 100

Citywide

17th

of all 3,273 parks

Among Waterfront Park

25th

same primary typology

Expected for similar parks

median in medium Waterfront Park waterfront (n=126)

Performance gap

-3

raw − expected · context confidence high

typical

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Explain this score

Where did the 27 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.

Download JSON

What pushed this score up or down vs a neutral 50weight × score

Edge Activation0 · p61

-12.5

Amenity Diversity0 · p69

-10.0

Border Vacuum Risk96 (risk)

-4.6

Natural Comfort70 · p84

+3.0

Enclosure / Eyes on Park56 · p22

+0.6

Connectivity50 · p56

+0.1

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

Wes Drainage Corridor works because its natural comfort score (70) is above average and its amenity diversity (0) is also above-average (it sits inside the ravine system; water is part of the park).

What limits this park

Wes Drainage Corridor is held back by enclosure (56, bottom quartile); border-vacuum risk is also elevated (96).

Most distinctive characteristic

Most distinctive feature: exceptionally high natural comfort (70, top quartile).

Jacobs reading

Wes Drainage Corridor sits between an urban social park and an ecological retreat — moderately useful for both, exceptionally suited to neither.

Typology classification

confidence 85%

Waterfront Parkalso reads as Ravine / Naturalized Park

Classified as Waterfront Park: 24% water surface inside park. Secondary read: Ravine / Naturalized Park (97% ravine overlap, 21% canopy).

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 9 active uses (transit_stop, retail) and 17 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

20% weightmeasured 85%

50.4 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 14 sidewalk segments within 50 m; 13 street intersections within 100 m; 18 transit stops within a 400 m walk; 1 estimated access points across ~3,380 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m4

Intersections within 100 m13

Paths/walkways (50 m)0

Sidewalk segments (50 m)14

Transit stops (400 m)18

Estimated entrances1

Edge connections / 100 m perimeter0.12

Park perimeter3,380 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops

Amenity Diversity

20% weightinferred 30%

0.0 / 100

No amenities recorded — score is 0 until inventory is loaded.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags

Natural Comfort

15% weightmeasured 75%

70.2 / 100

Natural-comfort components for this park: 20.6% estimated tree canopy; 97.1% inside the ravine system; 23.5% water surface; 3 city-mapped trees inside the polygon (1.0/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage20.6%

Canopy area0.63 ha

Inside ravine system97.1%

Water surface inside park23.5%

Nearest water (if outside park)0 m (inside)

Estimated green76.5%

City-mapped trees inside polygon3

Tree density1.0 / ha

Cover diversity (Shannon, 0–100)76.2

Sample points used34

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory

Enclosure / Eyes on Park

10% weightmeasured 80%

55.8 / 100

205 buildings within 25 m of the park edge (2 mid-rise, 203 low-rise, 0 tower); avg edge height 4.2 m (~1 floors); 6.1 buildings per 100 m of 3,380 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.

Buildings within 25 m205

Buildings within 50 m205

Avg edge height4.2 m (~1 floors)

Tallest edge building11.3 m

Mid-rise (3–7 floors)2

Low-rise (< 3 floors)203

Towers (≥ 13 floors)0

Frontage density6.07 per 100 m perimeter

Mid-rise share of edge1%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter3,380 m

Source: Toronto 3D Massing (building footprints + heights)

Border Vacuum Risk

10% weightpartial 60%

96.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, 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

contextinferred 15%

50.0 / 100

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 (44)

parking lot11 m
parking lot12 m
parking lot13 m
parking lot14 m
parking lot17 m
parking lot17 m
retail — Flower Company19 m
retail20 m
parking lot32 m
parking lot40 m
retail — Officestock.ca50 m
retail — Canadian Car Care50 m
retail — Aman Furniture Manufacturing50 m
parking lot52 m
parking lot54 m
parking lot54 m
transit stop — Kipling Avenue at Snaresbrook Drive57 m
transit stop62 m
transit stop — Jeffcoat Drive71 m
parking lot72 m
parking lot81 m
parking lot82 m
parking lot89 m
transit stop — Racine Road91 m
parking lot91 m
parking lot95 m
transit stop — Kipling Avenue at Snaresbrook Drive101 m
transit stop — Jeffcoat Drive107 m
parking lot120 m
transit stop — Kipling Avenue at Genthorn Avenue121 m
transit stop — Martin Grove Rd at Racine Rd122 m
transit stop — Kipling Avenue at Genthorn Avenue North Side132 m
parking lot137 m
parking lot137 m
parking lot147 m
parking lot147 m
parking lot149 m
parking lot161 m
transit stop162 m
parking lot163 m
parking lot166 m
retail — Quick Lube184 m
parking lot187 m
parking lot197 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
17th
Edge activation
61th
Connectivity
56th
Amenity diversity
69th
Natural comfort
84th
Enclosure
22th

Most similar parks

Closest in metric space across the five structural dimensions.

Hampshire Heights ParkWaterfront Park37
Massey Creek WatercourseWaterfront Park36
West Highland Creek WatercourseRavine / Naturalized Park36
Upper Rouge Trail ParkRavine / Naturalized Park35
Birchmount Rd Traffic IslandParkette32

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
Sonya'S ParkUrban Plaza60
Bellevue Square ParkCivic Square66
Market Lane ParkUrban Plaza63

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 Wes Drainage Corridormatters. 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 Facilities
Inventory of in-park amenities (washrooms, fields, rinks…).
Toronto Pedestrian Network
Sidewalk segments around and through parks; estimated park entrances.
Toronto Centreline V2
Street segments + intersection nodes near park edges; trails and walkways.
Toronto 3D Massing
Building footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
Toronto Treed Area
Tree canopy share inside park polygons via stratified-grid sampling.
Toronto Waterbodies & Rivers
Water surface inside parks + nearest-water distance for cooling.
Ravine & Natural Feature Protection
Ravine overlap as a cooling / natural-comfort signal.
Toronto Street Tree Inventory
Tree count + density inside park polygons.
Neighbourhood Profiles
(Pending) Equity context proxy.
OpenStreetMap (Overpass API)
Cafés, restaurants, retail, transit stops, parking, highways, rail.