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Six Points Park — site photograph
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Tower-Community Green Spacecluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Islington-City Centre West (14)confidence moderatereal Toronto data

Six Points Park

Tower-Community Green Space, near the bottom of the city overall (score 25, rank ~12th percentile). Strongest: connectivity; weakest: enclosure.

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

Six Points Park scores 24.9 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:nearby residentstower-block recreation

Area · 0.39 ha

Vitality Score
25/100

Weighted across six dimensions · confidence 66%

Data Confidence
24.9 / 100
Citywide
12th
of all 3,273 parks
Among Tower-Community Green Space
19th
same primary typology
Expected for similar parks
29
median in small Tower-Community Green Space (n=10)
Performance gap
-4
raw − expected · context confidence medium
typical

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

Explain this score

Where did the 25 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 · p41
-12.5
Amenity Diversity12 · p79
-7.6
Border Vacuum Risk100 (risk)
-5.0
Connectivity65 · p83
+3.0
Enclosure / Eyes on Park31 · p4
-1.9
Natural Comfort43 · p45
-1.0

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

Six Points Park works because its connectivity score (65) is above average and its amenity diversity (12) is also top quartile (38 transit stops sit within a 400 m walk).

What limits this park

Six Points Park is held back by enclosure (31, bottom quartile)— no mid-rise frontage to provide eyes on the park; border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally low enclosure (31, bottom quartile).

Jacobs reading

Six Points Park is currently underperforming on both axes — neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

Tradeoffs

  • High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 75%
Tower-Community Green Space

Classified as Tower-Community Green Space: 3 towers vs 0 mid-rise within 25 m on a 0.4 ha park

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 10 active uses (cafe, transit_stop, restaurant, retail) and 17 dead/hostile uses (parking_lot, highway). 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%
65.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 7 mapped paths/walkways and 6 sidewalk segments within 50 m; 6 street intersections within 100 m; 38 transit stops within a 400 m walk; 4 estimated access points across ~253 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m8
Intersections within 100 m6
Paths/walkways (50 m)7
Sidewalk segments (50 m)6
Transit stops (400 m)38
Estimated entrances4
Edge connections / 100 m perimeter3.16
Park perimeter253 m

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

Amenity Diversity

20% weightmeasured 75%
11.9 / 100

1 distinct amenity types in the park (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% weightpartial 45%
43.3 / 100

Natural-comfort components for this park: ~8.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~558 m; 12 city-mapped trees inside the polygon (12.0/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)558 m
Estimated green100.0%
City-mapped trees inside polygon12
Tree density12.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used28

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

Enclosure / Eyes on Park

10% weightpartial 60%
30.5 / 100

5 buildings within 25 m of the park edge (0 mid-rise, 2 low-rise, 3 tower); avg edge height 39.9 m (~13 floors); 2.0 buildings per 100 m of 253 m perimeter — moderate frontage density; edges lean tall but still framed; 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.

Buildings within 25 m5
Buildings within 50 m5
Avg edge height39.9 m (~13 floors)
Tallest edge building74.2 m
Mid-rise (3–7 floors)0
Low-rise (< 3 floors)2
Towers (≥ 13 floors)3
Frontage density1.98 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge60%
Blank-edge share (proxy)34%
Park perimeter253 m

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

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot, Dundas Street West, Dundas Street West, Dundas Street West, Dundas Street West, Dundas Street West, Dundas Street West. 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 (1 types · 1 records)

  • playground

Nearby active-edge features (74)

  • highway — Dundas Street West18 m
  • highway — Dundas Street West22 m
  • highway — Dundas Street West25 m
  • highway — Dundas Street West40 m
  • parking lot40 m
  • parking lot40 m
  • highway — Dundas Street West42 m
  • highway — Dundas Street West44 m
  • transit stop — Dundas St W at Kipling Ave47 m
  • parking lot50 m
  • parking lot53 m
  • transit stop — St Albans Road61 m
  • transit stop — St Albans Road63 m
  • parking lot68 m
  • parking lot70 m
  • cafe — Starbucks72 m
  • restaurant — Donatelli’s Pizzeria75 m
  • restaurant — Pho House78 m
  • highway — Dundas Street West78 m
  • retail — Wine Rack80 m
  • parking lot81 m
  • parking lot84 m
  • retail — Wellwise86 m
  • highway — Dundas Street West86 m
  • highway — Dundas Street West94 m
  • retail — Nu’s Hair Studio95 m
  • retail — Elegant Nails & Spa98 m
  • transit stop — West Service Road105 m
  • transit stop113 m
  • highway — Dundas Street West116 m
  • parking lot117 m
  • parking lot118 m
  • transit stop — West Service Road119 m
  • parking lot119 m
  • highway — Dundas Street West122 m
  • transit stop — Dundas St W at Kipling Ave123 m
  • transit stop — Kipling Station130 m
  • transit stop132 m
  • transit stop — St Albans / Kipling133 m
  • transit stop — Kipling Station138 m
  • parking lot — Kipling East Pick-Up & Drop-Off138 m
  • transit stop — Aukland Road139 m
  • highway — Dundas Street West139 m
  • highway — Dundas Street West139 m
  • parking lot144 m
  • transit stop — Kipling Station144 m
  • highway — Dundas Street West145 m
  • retail — Farm Boy146 m
  • rail — Bloor-Danforth Line149 m
  • parking lot149 m
  • transit stop — Kipling Station150 m
  • rail — Bloor-Danforth Line150 m
  • cafe — imPerfect Fresh Café151 m
  • transit stop155 m
  • transit stop — Kipling Station158 m
  • highway — Dundas Street West164 m
  • rail — Galt Subdivision168 m
  • transit stop — Kipling Station172 m
  • parking lot173 m
  • rail — Galt Subdivision174 m
  • parking lot180 m
  • rail180 m
  • transit stop — Aukland Road North Of Dundas Street181 m
  • transit stop — Kipling Station182 m
  • retail — Gateway Market Shops183 m
  • transit stop — Auckland Road at Dundas Street183 m
  • rail187 m
  • highway — Dundas Street West190 m
  • highway — Dundas Street West190 m
  • parking lot190 m
  • highway — Dundas Street West191 m
  • transit stop — Aukland Road193 m
  • transit stop — Kipling Station194 m
  • parking lot — TTC Parking - Kipling South Lot197 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureSix Points Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    12th
  • Edge activation
    41th
  • Connectivity
    83th
  • Amenity diversity
    79th
  • Natural comfort
    45th
  • Enclosure
    4th

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 Six Points 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.

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.

  • 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.
  • Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
  • Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
  • 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.