Waterfront Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (ravine-leaning)Eringate-Centennial-West Deane (11)confidence moderatereal Toronto data

Mill Valley Park

Waterfront Park, middle of the pack overall (score 38, rank ~66th percentile). Strongest: natural comfort; weakest: edge activation.

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

Mill Valley Park scores 37.7 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (60). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:waterfront recreationlong walks

Area · 5.27 ha

Vitality Score

38/100

Weighted across six dimensions · confidence 72%

Data Confidence

37.7 / 100

Citywide

66th

of all 3,273 parks

Among Waterfront Park

76th

same primary typology

Expected for similar parks

median in large Waterfront Park waterfront (n=65)

Performance gap

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 38 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 · p35

-12.5

Amenity Diversity21 · p88

-5.8

Natural Comfort83 · p94

+4.9

Enclosure / Eyes on Park62 · p43

+1.2

Border Vacuum Risk60 (risk)

-1.0

Connectivity55 · p64

+0.9

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

Mill Valley Park works because its natural comfort score (83) is in the top tier and its amenity diversity (21) is also top quartile (52% tree canopy provides real shade; it sits inside the ravine system).

What limits this park

Mill Valley Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional) — risk score 60.

Most distinctive characteristic

Most distinctive feature: exceptionally high natural comfort (83, top decile).

Jacobs reading

Mill Valley Park is an ecological retreat. The urban-vitality numbers are low because the park exists outside the everyday city — that's the point of it.

Tradeoffs

Natural comfort (83) significantly outpaces connectivity (55) — restorative but hard to reach for daily use.
The park is enclosed by buildings (62) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Typology classification

confidence 85%

Waterfront Parkalso reads as Ravine / Naturalized Park

Classified as Waterfront Park: 17% water surface inside park. Secondary read: Ravine / Naturalized Park (73% ravine overlap, 52% canopy).

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 3 active uses (transit_stop) and 7 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%

54.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 16 sidewalk segments within 50 m; 10 street intersections within 100 m; 10 transit stops within a 400 m walk; 4 estimated access points across ~2,247 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m8

Intersections within 100 m10

Paths/walkways (50 m)3

Sidewalk segments (50 m)16

Transit stops (400 m)10

Estimated entrances4

Edge connections / 100 m perimeter0.36

Park perimeter2,247 m

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

Amenity Diversity

20% weightmeasured 75%

21.0 / 100

2 distinct amenity types in the park (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

15% weightmeasured 75%

83.0 / 100

Natural-comfort components for this park: 51.7% estimated tree canopy; 73.3% inside the ravine system; 16.7% water surface; 48 city-mapped trees inside the polygon (9.1/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 coverage51.7%

Canopy area2.73 ha

Inside ravine system73.3%

Water surface inside park16.7%

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

Estimated green83.3%

City-mapped trees inside polygon48

Tree density9.1 / ha

Cover diversity (Shannon, 0–100)87.4

Sample points used60

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

Enclosure / Eyes on Park

10% weightmeasured 80%

61.6 / 100

86 buildings within 25 m of the park edge (2 mid-rise, 80 low-rise, 4 tower); avg edge height 8.2 m (~3 floors); 3.8 buildings per 100 m of 2,247 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 4 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 2 mid-rise edge buildings.

Buildings within 25 m86

Buildings within 50 m86

Avg edge height8.2 m (~3 floors)

Tallest edge building56.1 m

Mid-rise (3–7 floors)2

Low-rise (< 3 floors)80

Towers (≥ 13 floors)4

Frontage density3.83 per 100 m perimeter

Mid-rise share of edge2%

Tower share of edge5%

Blank-edge share (proxy)0%

Park perimeter2,247 m

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

Border Vacuum Risk

10% weightpartial 60%

60.0 risk

Border-vacuum factors within 50 m of the park: 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 (2 types · 2 records)

playground
tennis

Nearby active-edge features (20)

parking lot13 m
parking lot23 m
parking lot24 m
parking lot29 m
parking lot39 m
transit stop — Mill Rd at Rathburn Rd Loop43 m
parking lot56 m
parking lot65 m
transit stop — Burnhamthorpe Road At Mill Road89 m
transit stop — Mill Road91 m
parking lot121 m
transit stop — Burnhamthorpe Road At Mill Road125 m
parking lot154 m
retail — Neighbours155 m
restaurant — KFC161 m
parking lot167 m
parking lot170 m
parking lot174 m
parking lot175 m
parking lot180 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
66th
Edge activation
35th
Connectivity
64th
Amenity diversity
88th
Natural comfort
94th
Enclosure
43th

Most similar parks

Closest in metric space across the five structural dimensions.

Heathercrest ParkRavine / Naturalized Park42
Bob Hunter ParkRavine / Naturalized Park42
Hummingbird ParkRavine / Naturalized Park38
Greenvale ParkRavine / Naturalized Park39
Mcdairmid Woods ParkRavine / Naturalized 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
Bernard Avenue Road AllowanceUrban Plaza54
Queen'S Quay Traffic IslandWaterfront Park49
Leslie Grove ParkParkette68
Sonya'S ParkUrban Plaza60

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 Mill Valley 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 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.