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Charles Street Parkette — site photograph
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Urban Plazacluster ·Active-edged · exposed parksChurch-Yonge Corridor (75)confidence moderatereal Toronto data

Charles Street Parkette

Urban Plaza, middle of the pack overall (score 35, rank ~52th percentile). Strongest: edge activation; weakest: natural comfort.

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

Charles Street Parkette scores 34.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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:daily passing-throughpocket meetings

Area · 0.05 ha

Vitality Score
35/100

Weighted across six dimensions · confidence 56%

Data Confidence
34.6 / 100
Citywide
53rd
of all 3,273 parks
Among Urban Plaza
37th
same primary typology
Expected for similar parks
36
median in pocket Urban Plaza (n=337)
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.

Explain this score

Where did the 35 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 · p34
-10.0
Edge Activation31 · p87
-4.9
Natural Comfort23 · p2
-4.0
Border Vacuum Risk12 (risk)
+3.8
Connectivity33 · p23
-3.4
Enclosure / Eyes on Park81 · p85
+3.1

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

Charles Street Parkette works because its edge activation score (31) is in the top tier and its enclosure (81) is also top quartile.

What limits this park

Charles Street Parkette is held back by natural comfort (23, bottom quartile)— only 0% canopy means little summer shade.

Most distinctive characteristic

Most distinctive feature: exceptionally low natural comfort (23, bottom quartile).

Jacobs reading

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

Tradeoffs

  • 11 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.

Typology classification

confidence 70%
Urban Plaza

Classified as Urban Plaza: 474 m², paved (0% canopy), 45.9 buildings/100 m

Edge Activation

25% weightpartial 60%
30.5 / 100

Within 100 m of the park edge: 10 active uses (restaurant, retail, cafe) and 4 dead/hostile uses (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%
33.2 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 4 sidewalk segments within 50 m; 6 street intersections within 100 m; 13 transit stops within a 400 m walk; 0 estimated access points across ~111 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m0
Intersections within 100 m6
Paths/walkways (50 m)0
Sidewalk segments (50 m)4
Transit stops (400 m)13
Estimated entrances0
Edge connections / 100 m perimeter0.00
Park perimeter111 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 24%
23.1 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~1148 m. Reading: exposed. Source coverage: waterbodies. 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)1,148 m
Estimated green100.0%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used11

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

Enclosure / Eyes on Park

10% weightmeasured 80%
80.6 / 100

51 buildings within 25 m of the park edge (32 mid-rise, 8 low-rise, 11 tower); avg edge height 33.5 m (~11 floors); 45.9 buildings per 100 m of 111 m perimeter — strong frontage density; edges lean tall but still framed; 11 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 32 mid-rise edge buildings.

Buildings within 25 m51
Buildings within 50 m51
Avg edge height33.5 m (~11 floors)
Tallest edge building160.8 m
Mid-rise (3–7 floors)32
Low-rise (< 3 floors)8
Towers (≥ 13 floors)11
Frontage density45.95 per 100 m perimeter
Mid-rise share of edge63%
Tower share of edge22%
Blank-edge share (proxy)0%
Park perimeter111 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" — 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 (0)

No amenities recorded for this park.

Nearby active-edge features (36)

  • parking lot43 m
  • parking lot64 m
  • parking lot66 m
  • restaurant — Papa John's69 m
  • retail — Rabba Marché70 m
  • retail — Royale Optical70 m
  • retail — Pets Wonderful Ltd.70 m
  • restaurant — Rooster Coffee House71 m
  • cafe — Rooster Coffee House72 m
  • retail — Time Studio Photo Framing74 m
  • retail — St. Lawrence Cleaners76 m
  • parking lot77 m
  • retail — Town Star Convenience81 m
  • restaurant — O Noir100 m
  • restaurant — Madras Curry121 m
  • restaurant — The Bishop and the Belcher126 m
  • restaurant — A&W129 m
  • cafe — Church Street Espresso139 m
  • retail — Church Bella Variety145 m
  • restaurant — Tahini's149 m
  • retail — J Z Hair Design153 m
  • parking lot154 m
  • retail — Salon Riccardo155 m
  • cafe — Piedmont Coffee Bar156 m
  • cafe — Hale Coffee157 m
  • parking lot166 m
  • restaurant — Sushi Shop177 m
  • restaurant — Subway180 m
  • cafe — Tim Hortons184 m
  • cafe — Starbucks186 m
  • parking lot193 m
  • highway — Bloor Street East195 m
  • transit stop — Jarvis Street195 m
  • highway — Bloor Street East197 m
  • highway — Bloor Street East197 m
  • highway — Bloor Street East199 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureCharles Street Parkette

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    52th
  • Edge activation
    87th
  • Connectivity
    23th
  • Amenity diversity
    34th
  • Natural comfort
    2th
  • Enclosure
    85th

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 Charles 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.
  • 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.