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Toronto Park Atlas
Hickorynut Parkette — site photograph
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Parkettecluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Pleasant View (46)confidence moderatereal Toronto data

Hickorynut Parkette

Parkette, in the top tier overall (score 47, rank ~92th percentile). Strongest: edge activation; weakest: amenity diversity.

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

Hickorynut Parkette scores 46.9 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:a quiet siteveryday neighbourhood use

Area · 0.24 ha

Vitality Score
47/100

Weighted across six dimensions · confidence 57%

Data Confidence
46.9 / 100
Citywide
92nd
of all 3,273 parks
Among Parkette
94th
same primary typology
Expected for similar parks
31
median in pocket Parkette (n=287)
Performance gap
+16
raw − expected · context confidence high
strong overperformer

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

Explain this score

Where did the 47 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
Amenity Diversity0 · p35
-10.0
Border Vacuum Risk0 (risk)
+5.0
Enclosure / Eyes on Park64 · p54
+1.4
Natural Comfort42 · p42
-1.2
Edge Activation54 · p97
+0.9
Connectivity54 · p61
+0.7

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

Hickorynut Parkette works because its edge activation score (54) is one of the city's strongest and its connectivity (54) is also above-average (its perimeter is lined with active uses).

What limits this park

Hickorynut Parkette is held back by amenity diversity (0, below-average).

Most distinctive characteristic

Most distinctive feature: exceptionally high edge activation (54, top decile).

Jacobs reading

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

Performance in context

  • This park is a strong overperformer for its cohort — raw 47 versus an expected 31 for similar parks (pocket Parkette) (gap +16).

Typology classification

confidence 70%
Parkette

Classified as Parkette: small (2414 m²) with strong building frontage (10.0 per 100 m)

Edge Activation

25% weightpartial 60%
53.8 / 100

Within 100 m of the park edge: 7 active uses (transit_stop, retail, restaurant) 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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use

Connectivity

20% weightmeasured 85%
53.5 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 1 mapped paths/walkways and 11 sidewalk segments within 50 m; 2 street intersections within 100 m; 20 transit stops within a 400 m walk; 1 estimated access points across ~201 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m5
Intersections within 100 m2
Paths/walkways (50 m)1
Sidewalk segments (50 m)11
Transit stops (400 m)20
Estimated entrances1
Edge connections / 100 m perimeter2.49
Park perimeter201 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% weightinferred 36%
42.2 / 100

Natural-comfort components for this park: ~9.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1145 m; 13 city-mapped trees inside the polygon (13.0/ha). Reading: exposed. Source coverage: 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 system0.0%
Water surface inside park0.0%
Nearest water (if outside park)1,145 m
Estimated green100.0%
City-mapped trees inside polygon13
Tree density13.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used23

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

Enclosure / Eyes on Park

10% weightmeasured 80%
64.0 / 100

20 buildings within 25 m of the park edge (0 mid-rise, 19 low-rise, 1 tower); avg edge height 7.3 m (~2 floors); 10.0 buildings per 100 m of 201 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.

Buildings within 25 m20
Buildings within 50 m20
Avg edge height7.3 m (~2 floors)
Tallest edge building44.7 m
Mid-rise (3–7 floors)0
Low-rise (< 3 floors)19
Towers (≥ 13 floors)1
Frontage density9.95 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge5%
Blank-edge share (proxy)0%
Park perimeter201 m

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

Border Vacuum Risk

10% weightpartial 60%
0.0 risk

Park edges face the city — no significant border vacuum detected.

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 (13)

  • transit stop — Sheppard Avenue at Settlers Road2 m
  • restaurant — Chuck E. Cheese33 m
  • transit stop — Sheppard Avenue at Settlers Road40 m
  • retail — Procuts50 m
  • retail — Winners54 m
  • restaurant — Buk Chang Dong Soon Tofu71 m
  • restaurant — Paramount Fine Foods84 m
  • parking lot113 m
  • retail — Food Basics139 m
  • transit stop — Sheppard Avenue at Victoria Park Avenue West Side177 m
  • restaurant — A&W192 m
  • retail — Hello Neighbours192 m
  • transit stop — Sheppard Avenue at Victoria Park Avenue200 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureHickorynut Parkette

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    92th
  • Edge activation
    97th
  • Connectivity
    61th
  • Amenity diversity
    35th
  • Natural comfort
    42th
  • Enclosure
    54th

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 score
29/ 100
28.9 / 100

p15 citywide · p14 within Parkette

Volume (saturated)1
Density / ha20
Rating contribution75
Match dampener×1.00
Average rating
★ 4.0
out of 5
Ratings collected
6
total reviews
Photos uploaded
0
total contributors
  • no public photos uploaded

Source: Google Places API · match high (0.94 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 activity
8/ 100
8.0 / 100
Programming / events
0unknown
Social attention
11real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
24unknown

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 Hickorynut Parkettematters. 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

What would improve this park?

Generated from the weakest measured dimensions — a starting point, not a prescription.

  • Diversify what people can do in the park — playground, washroom, water, shade, performance, sport, garden — even small additions raise this score.
  • Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.

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.