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Maria Street Parkette — site photograph
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Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Junction Area (90)confidence moderatereal Toronto data

Maria Street Parkette

Urban Plaza, middle of the pack overall (score 31, rank ~36th percentile). Strongest: enclosure; weakest: connectivity.

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

Maria Street Parkette scores 31.1 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is elevated (54). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily passing-throughpocket meetings

Area · 0.06 ha

Vitality Score
31/100

Weighted across six dimensions · confidence 66%

Data Confidence
31.1 / 100
Citywide
36th
of all 3,273 parks
Among Urban Plaza
18th
same primary typology
Expected for similar parks
36
median in pocket Urban Plaza (n=337)
Performance gap
-5
raw − expected · context confidence high
modest underperformer

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

Explain this score

Where did the 31 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 · p45
-12.5
Amenity Diversity12 · p81
-7.6
Enclosure / Eyes on Park81 · p84
+3.1
Connectivity43 · p40
-1.5
Border Vacuum Risk54 (risk)
-0.4
Natural Comfort50 · p60
+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

Maria Street Parkette works because its enclosure score (81) is above average and its amenity diversity (12) is also top quartile (3 mid-rise buildings frame the edge with passive surveillance).

What limits this park

Maria Street Parkette's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional) — risk score 54.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (81, top quartile).

Jacobs reading

Maria Street Parkette 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 (81) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Performance in context

  • Reads as a modest underperformer relative to comparable parks (gap -5; cohort: pocket Urban Plaza).

Typology classification

confidence 70%
Urban Plaza

Classified as Urban Plaza: 561 m², paved (11% canopy), 31.7 buildings/100 m

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 1 active uses (retail) and 7 dead/hostile uses (rail, 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% weightpartial 65%
42.7 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 3 mapped paths/walkways and 0 sidewalk segments within 50 m; 1 street intersections within 100 m; 17 transit stops within a 400 m walk; 1 estimated access points across ~104 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, transit_osm.

Streets within 25 m2
Intersections within 100 m1
Paths/walkways (50 m)3
Sidewalk segments (50 m)0
Transit stops (400 m)17
Estimated entrances1
Edge connections / 100 m perimeter1.92
Park perimeter104 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 60%
50.0 / 100

Natural-comfort components for this park: 11.1% estimated tree canopy; nearest waterbody ~822 m; 3 city-mapped trees inside the polygon (3.0/ha). Reading: exposed. Source coverage: treed_area, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage11.1%
Canopy area0.01 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)822 m
Estimated green100.0%
City-mapped trees inside polygon3
Tree density3.0 / ha
Cover diversity (Shannon, 0–100)50.3
Sample points used18

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

Enclosure / Eyes on Park

10% weightmeasured 80%
80.5 / 100

33 buildings within 25 m of the park edge (3 mid-rise, 30 low-rise, 0 tower); avg edge height 6.8 m (~2 floors); 31.7 buildings per 100 m of 104 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 3 mid-rise edge buildings.

Buildings within 25 m33
Buildings within 50 m33
Avg edge height6.8 m (~2 floors)
Tallest edge building10.4 m
Mid-rise (3–7 floors)3
Low-rise (< 3 floors)30
Towers (≥ 13 floors)0
Frontage density31.66 per 100 m perimeter
Mid-rise share of edge9%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter104 m

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

Border Vacuum Risk

10% weightpartial 60%
54.0 risk

Border-vacuum factors within 50 m of the park: Galt Subdivision, Galt Subdivision, rail. 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 (51)

  • rail — Galt Subdivision34 m
  • rail35 m
  • rail — Galt Subdivision35 m
  • parking lot82 m
  • rail84 m
  • retail — I’m93 m
  • rail99 m
  • parking lot99 m
  • retail — Coast 2 Coast105 m
  • retail — Melo Automotive106 m
  • retail — Two Lovely Ladies107 m
  • retail — Dundas Print111 m
  • retail — Hair Braiding Koo By Chantou112 m
  • parking lot116 m
  • retail — Lynett Funeral Home116 m
  • retail — Wholesale Meat117 m
  • retail — Sunny Side Pup Dog Grooming121 m
  • retail — Stereo King122 m
  • retail — Salon d'Hair124 m
  • retail — Hearing & Denture Center126 m
  • parking lot126 m
  • parking lot127 m
  • rail — Galt Subdivision129 m
  • retail — Like Honey131 m
  • transit stop — Dundas St W at Runnymede Rd133 m
  • restaurant — Jumbo Burgers133 m
  • transit stop — Maria Street133 m
  • retail — High Park Nissan Pre-Owned134 m
  • retail — Cornerstone Barber Shop135 m
  • retail — My Way Barber Shop136 m
  • retail — Metro Vehicles136 m
  • rail137 m
  • retail — Algrave Auto Clinic139 m
  • parking lot139 m
  • restaurant — Indilicious141 m
  • transit stop — Dundas St W at Runnymede Rd142 m
  • transit stop — Dundas Street West153 m
  • transit stop — Gilmour Avenue157 m
  • transit stop — Dundas Street West158 m
  • transit stop — Runnymede Loop160 m
  • parking lot163 m
  • transit stop — Gilmour Avenue164 m
  • retail — La Lavender Salon165 m
  • parking lot165 m
  • transit stop — Dundas St W at Runnymede Rd174 m
  • cafe — Malta Bake Shop177 m
  • parking lot179 m
  • retail — Rikki179 m
  • parking lot189 m
  • retail — ABB194 m
  • retail — Log Books Unlimited194 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureMaria Street Parkette

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    36th
  • Edge activation
    45th
  • Connectivity
    40th
  • Amenity diversity
    81th
  • Natural comfort
    60th
  • Enclosure
    84th

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 Maria Street 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.

  • 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.
  • 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.