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Toronto Parks Atlas
Diana Park, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (ravine-leaning)Downsview

Diana Park

Ravine / Naturalized Park, middle of the pack overall (score 38, rank ~65th percentile). Strongest: natural comfort; weakest: edge activation.

Photo by Sedat Gümüş via Google Places · cached 5/9/2026

Data updated

Diana Park scores 38.3 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forescape into nature

Area · 0.49 ha

What's here

Recreation
PlaygroundFitness

Getting around

Paths

82 m of mapped path. Too little surface tagging to say how much is paved.

Too little path mapped to check for steps.

Seating

No seating mapped in OpenStreetMap.

Arrival

Nearest parking 172 m away. None of the 2 nearby lots records whether it has accessible spaces.

Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.

Vitality Score
38/100

Weighted across six dimensions · confidence 68%

Data Confidence
38.3 / 100

Data confidence: moderate

Citywide
65th
of all 3,753 parks
Among Ravine / Naturalized Park
70th
same primary typology
Expected for similar parks
33
median in small Ravine / Naturalized Park ravine (n=213)
Performance gap
+5
raw − expected · context confidence high
modest overperformer

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

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Street context. Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Diana Park, aerial top-down view
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 · cached 5/9/2026.

Boundary: OpenStreetMap contributors (ODbL).

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 · p15
-12.5
Amenity Diversity20 · p66
-6.0
Border Vacuum Risk0 (risk)
+5.0
Natural Comfort63 · p80
+2.0
Connectivity44 · p47
-1.3
Enclosure / Eyes on Park61 · p45
+1.1

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

Diana Park works because its natural comfort score (63) is above average and its amenity diversity (20) is also above-average (it sits inside the ravine system).

What limits this park

Diana Park is held back by edge activation (0, bottom quartile): the surrounding streets carry too few active uses to spill into the park.

Most distinctive characteristic

Most distinctive feature: exceptionally low edge activation (0, bottom quartile).

Jacobs reading

Diana 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

  • The park is enclosed by buildings (61) but the surrounding streets are quiet (edge activation 0): frame without animation.

Performance in context

  • A modest overperformer for its ravine / naturalized park typology (+5 vs the median in small Ravine / Naturalized Park ravine).

Typology classification

confidence 75%
Ravine / Naturalized Park

Classified as Ravine / Naturalized Park: 83% ravine overlap, 0% canopy

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 0 active uses (none) and 0 dead/hostile uses (none). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.

Source: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
43.6 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 4 mapped paths/walkways and 6 sidewalk segments within 50 m; 5 street intersections within 100 m; 6 bus stops within a 400 m walk; 2 estimated access points across ~333 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m0
Intersections within 100 m5
Paths/walkways (50 m)4
Sidewalk segments (50 m)6
Transit stops (400 m)6 (0 subway/GO, 0 streetcar/LRT, 6 bus)
Estimated entrances2
Edge connections / 100 m perimeter0.00
Park perimeter333 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightmeasured 75%
19.9 / 100

2 distinct amenity types in the park (fitness, playground). Diversity 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. All data sources.

Natural Comfort

15% weightpartial 45%
63.4 / 100

Natural-comfort components for this park: ~11.9% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 83.3% inside the ravine system; nearest waterbody ~86 m; 17 city-mapped trees inside the polygon (17.0/ha). Reading: ravine-cooled. Source coverage: ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system83.3%
Water surface inside park0.0%
Nearest water (if outside park)86 m
Estimated green100.0%
City-mapped trees inside polygon17
Tree density17.0 / ha
Cover diversity (Shannon, 0 to 100)65.0
Sample points used36

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%
60.9 / 100

64 buildings within 25 m of the park edge (0 mid-rise, 64 low-rise, 0 tower); avg edge height 4.5 m (~2 floors); 19.2 buildings per 100 m of 333 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.

Buildings within 25 m64
Buildings within 50 m64
Avg edge height4.5 m (~2 floors)
Tallest edge building7.5 m
Mid-rise (3 to 7 floors)0
Low-rise (< 3 floors)64
Towers (≥ 13 floors)0
Frontage density19.21 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter333 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

Border Vacuum Risk

10% weightpartial 60%
0.0 risk

Park edges face the city. No significant border vacuum detected.

Source: OpenStreetMap: highways, rail, parking. All data sources.

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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.

Amenities (2 types · 4 records)

  • fitness
  • playground

Nearby active-edge features (2)

  • parking lot172 m
  • parking lot180 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureDiana Park
Edge activation, connectivity, amenity diversity, natural comfort, and enclosure, each 0 to 100.

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    65th
  • Edge activation
    15th
  • Connectivity
    47th
  • Amenity diversity
    66th
  • Natural comfort
    80th
  • Enclosure
    45th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

Furthest in metric space. Useful for recognising what kind of park this isn’t.

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.

high-confidence match
Visitor signal score33 / 100
33.1 / 100

p24 citywide · p33 within Ravine / Naturalized Park

Volume (saturated)4
Density / ha30
Rating contribution75
Match dampener×1.00
Average rating
★ 4.0
out of 5
Ratings collected
21
total reviews
Photos uploaded
10
total contributors

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 Diana Park matters. 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.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all, 5 = strongly. Skip the ones you don't feel sure about. Aggregated only, no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important
70%

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.
  • Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
  • Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.

Data sources

real Toronto data
  • City of Toronto Open Data: Green Spaces
    Polygon boundaries, official names, land classes. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
  • 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.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.