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Parkettecluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)University (79)confidence moderate

Ziibiing Indigenous Landscape

Parkette, middle of the pack overall (score 39, rank ~67th percentile). Strongest: enclosure; weakest: natural comfort.

Ziibiing Indigenous Landscape scores 38.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (2). Border-vacuum risk is elevated (72). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fora quiet siteveryday neighbourhood use

Area · 0.84 ha

What's here

Recreation
Garden
Facilities
BenchesPublic art
Vitality Score
39/100

Weighted across six dimensions · confidence 63%

Data Confidence
38.7 / 100
Citywide
67th
of all 3,788 parks
Among Parkette
74th
same primary typology
Expected for similar parks
37
median in small Parkette (n=247)
Performance gap
+2
raw − expected · context confidence high
typical

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

Loading map…

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Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 39 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 Activation2 · p64
-12.0
Amenity Diversity28 · p83
-4.3
Enclosure / Eyes on Park87 · p93
+3.7
Connectivity68 · p89
+3.6
Border Vacuum Risk72 (risk)
-2.2
Natural Comfort50 · p57
+0.0

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

Ziibiing Indigenous Landscape works because its enclosure score (87) is in the top tier and its connectivity (68) is also top quartile (18 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Ziibiing Indigenous Landscape's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 72.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (87, top decile).

Jacobs reading

Ziibiing Indigenous Landscape sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.

Tradeoffs

  • The park is enclosed by buildings (87) but the surrounding streets are quiet (edge activation 2): frame without animation.
  • High connectivity coexists with high border-vacuum risk (72): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 70%
Parkette

Classified as Parkette: small (8393 m²) with strong building frontage (6.0 per 100 m)

Edge Activation

25% weightpartial 60%
2.0 / 100

Within 100 m of the park edge: 6 active uses (restaurant, retail, community, transit_stop, cafe) and 6 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%
67.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 19 sidewalk segments within 50 m; 9 street intersections within 100 m; 22 transit stops within a 400 m walk; 4 estimated access points across ~350 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m6
Intersections within 100 m9
Paths/walkways (50 m)0
Sidewalk segments (50 m)19
Transit stops (400 m)22
Estimated entrances4
Edge connections / 100 m perimeter1.72
Park perimeter350 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 (art, bench, garden). 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% weightinferred 15%
50.0 / 100

Natural Comfort requires inputs not yet loaded for this park (Treed Area / Ravine / Waterbodies / Street Trees). Score is held at a neutral 50 with low confidence. Read with caution.

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)1,500 m
Estimated green100.0%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used59

Source: Treed Area / Ravine / Waterbodies / Street Trees

Enclosure / Eyes on Park

10% weightmeasured 80%
86.7 / 100

21 buildings within 25 m of the park edge (18 mid-rise, 3 low-rise, 0 tower); avg edge height 15.2 m (~5 floors); 6.0 buildings per 100 m of 350 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 18 mid-rise edge buildings.

Buildings within 25 m21
Buildings within 50 m21
Avg edge height15.2 m (~5 floors)
Tallest edge building30.9 m
Mid-rise (3 to 7 floors)18
Low-rise (< 3 floors)3
Towers (≥ 13 floors)0
Frontage density6.01 per 100 m perimeter
Mid-rise share of edge86%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter350 m

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

Border Vacuum Risk

10% weightpartial 60%
72.0 risk

Border-vacuum factors within 50 m of the park: Queen's Park Crescent West, Queen's Park Crescent West, 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 · 25 records)

  • art
  • bench
  • garden

Nearby active-edge features (29)

  • parking lot13 m
  • community: University College Library23 m
  • restaurant: The Arbor Room24 m
  • community: Hart House Library24 m
  • highway: Queen's Park Crescent West34 m
  • transit stop: Queen's Part Cres West at Hart House38 m
  • highway: Queen's Park Crescent West47 m
  • cafe: The Owlery Café61 m
  • highway: Queen's Park Crescent West62 m
  • retail: Understudy Cafe67 m
  • parking lot78 m
  • parking lot: Landmark Garage84 m
  • parking lot109 m
  • parking lot115 m
  • cafe: Diabolos Coffee Bar120 m
  • highway: Queen's Park Crescent West123 m
  • parking lot124 m
  • parking lot125 m
  • cafe: Acacia Cafe130 m
  • transit stop: Wellesley Street West140 m
  • highway: Queen's Park Crescent West147 m
  • transit stop: Tower Road155 m
  • transit stop: Tower Road169 m
  • cafe: CHICHA San Chen173 m
  • parking lot173 m
  • parking lot174 m
  • community: Caven Library176 m
  • highway: Queen's Park Crescent West179 m
  • parking lot183 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureZiibiing Indigenous Landscape
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
    67th
  • Edge activation
    64th
  • Connectivity
    89th
  • Amenity diversity
    83th
  • Natural comfort
    57th
  • Enclosure
    93th

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.

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 Ziibiing Indigenous Landscapematters. 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.
  • 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

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.