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Toronto Parks Atlas
Bob Hunter Park, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (enclosure-leaning)West Rouge

Bob Hunter Park

Ravine / Naturalized Park, above average overall (score 44, rank ~83th percentile). Strongest: natural comfort; weakest: enclosure.

Photo by Right via Google Places · cached 5/9/2026

Bob Hunter Park scores 43.6 / 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 natureshaded summer use

Area · 17.54 ha

What's here

Recreation
PlaygroundSports fieldOff-leash dog area

Getting around

Paths

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

No steps mapped on the path network.

Seating

No seating mapped in OpenStreetMap.

Arrival

Nearest parking 27 m away. None of the 28 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
44/100

Weighted across six dimensions · confidence 72%

Data Confidence
43.6 / 100

Data confidence: moderate

Citywide
83rd
of all 3,788 parks
Among Ravine / Naturalized Park
86th
same primary typology
Expected for similar parks
37
median in large Ravine / Naturalized Park ravine (n=127)
Performance gap
+7
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.
Bob Hunter 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 44 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 · p38
-12.5
Natural Comfort88 · p97
+5.7
Amenity Diversity28 · p82
-4.3
Border Vacuum Risk12 (risk)
+3.8
Enclosure / Eyes on Park57 · p29
+0.7
Connectivity51 · p61
+0.3

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

Bob Hunter Park works because its natural comfort score (88) is one of the city's strongest and its amenity diversity (28) is also top quartile (82% tree canopy provides real shade; it sits inside the ravine system).

What limits this park

Bob Hunter Park is held back by enclosure (57, below-average).

Most distinctive characteristic

Most distinctive feature: exceptionally high natural comfort (88, top decile).

Jacobs reading

Bob Hunter 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 (88) significantly outpaces connectivity (51): restorative but hard to reach for daily use.

Performance in context

  • A modest overperformer for its ravine / naturalized park typology (+7 vs the median in large Ravine / Naturalized Park ravine).

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Neighbourhood Park

Classified as Ravine / Naturalized Park: 88% ravine overlap, 82% canopy. Secondary read: Neighbourhood Park (17.5 ha, framed by 1 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 0 active uses (none) and 10 dead/hostile uses (highway, 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%
51.3 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 4 mapped paths/walkways and 20 sidewalk segments within 50 m; 7 street intersections within 100 m; 6 transit stops within a 400 m walk; 6 estimated access points across ~2,340 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m5
Intersections within 100 m7
Paths/walkways (50 m)4
Sidewalk segments (50 m)20
Transit stops (400 m)6
Estimated entrances6
Edge connections / 100 m perimeter0.21
Park perimeter2,340 m

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

Amenity Diversity

20% weightmeasured 75%
28.4 / 100

3 distinct amenity types in the park (dog_area, sports_field, playground). 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%
88.2 / 100

Natural-comfort components for this park: 82.2% estimated tree canopy; 87.8% inside the ravine system; nearest waterbody ~701 m; 29 city-mapped trees inside the polygon (1.6/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 coverage82.2%
Canopy area14.42 ha
Inside ravine system87.8%
Water surface inside park0.0%
Nearest water (if outside park)701 m
Estimated green100.0%
City-mapped trees inside polygon29
Tree density1.6 / ha
Cover diversity (Shannon, 0 to 100)99.9
Sample points used197

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

Enclosure / Eyes on Park

10% weightmeasured 80%
56.6 / 100

95 buildings within 25 m of the park edge (1 mid-rise, 94 low-rise, 0 tower); avg edge height 6.0 m (~2 floors); 4.1 buildings per 100 m of 2,340 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.

Buildings within 25 m95
Buildings within 50 m95
Avg edge height6.0 m (~2 floors)
Tallest edge building9.1 m
Mid-rise (3 to 7 floors)1
Low-rise (< 3 floors)94
Towers (≥ 13 floors)0
Frontage density4.06 per 100 m perimeter
Mid-rise share of edge1%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter2,340 m

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

Border Vacuum Risk

10% weightpartial 60%
12.0 risk

Border-vacuum factors within 50 m of the park: parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" that 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 (3 types · 5 records)

  • dog area
  • sports field
  • playground

Nearby active-edge features (35)

  • parking lot27 m
  • highway: Highway 401 Collector54 m
  • parking lot62 m
  • highway: Highway 401 Collector69 m
  • parking lot71 m
  • parking lot73 m
  • parking lot82 m
  • parking lot92 m
  • highway: Highway 401 Collector95 m
  • parking lot99 m
  • parking lot105 m
  • parking lot109 m
  • parking lot110 m
  • parking lot110 m
  • highway: Highway 401 Collector114 m
  • parking lot117 m
  • highway: Highway 401 Collector120 m
  • highway: Highway 401 Collector126 m
  • parking lot131 m
  • parking lot132 m
  • parking lot136 m
  • parking lot144 m
  • parking lot146 m
  • parking lot146 m
  • parking lot147 m
  • parking lot153 m
  • parking lot157 m
  • parking lot167 m
  • parking lot174 m
  • parking lot180 m
  • parking lot181 m
  • parking lot187 m
  • parking lot188 m
  • parking lot189 m
  • highway: Highway 401 Collector190 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureBob Hunter 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
    83th
  • Edge activation
    38th
  • Connectivity
    61th
  • Amenity diversity
    82th
  • Natural comfort
    97th
  • Enclosure
    29th

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.

medium-confidence match
Visitor signal score28 / 100
28.3 / 100

p14 citywide · p17 within Ravine / Naturalized Park

Volume (saturated)17
Density / ha6
Rating contribution83
Match dampener×0.85
Average rating
★ 4.3
out of 5
Ratings collected
103
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match medium (0.93 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.

confidence 50%
Overall activity9 / 100
8.7 / 100
Programming / events
0unknown
Social attention
13real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
27unknown

Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.

Does this score feel accurate?

Your read of Bob Hunter 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.
  • 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: Parks (Green Space)
    Polygon boundaries, official names, types. 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.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.