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Othercluster ·Underperforming / Leftover Spaces (waterfront-leaning)confidence low

John Charlton House

Other, near the bottom of the city overall (score 19, rank ~2th percentile). Strongest: edge activation; weakest: natural comfort.

John Charlton House scores 18.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (48). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forvaries (see metrics)

Area · 0.57 ha

Vitality Score
19/100

Weighted across six dimensions · confidence 40%

Data Confidence
18.9 / 100
Citywide
2nd
of all 3,788 parks
Among Other
10th
same primary typology
Expected for similar parks
27
median in small Other (n=104)
Performance gap
-8
raw − expected · context confidence high
modest underperformer

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

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Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 19 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 · p58
-12.5
Amenity Diversity0 · p50
-10.0
Connectivity25 · p21
-5.0
Natural Comfort25 · p8
-3.8
Border Vacuum Risk48 (risk)
+0.2
Enclosure / Eyes on Park50 · p18
+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

John Charlton House doesn't have a clear standout dimension. The strongest measured signal is edge activation, and even that is below the city median.

What limits this park

John Charlton House is held back by natural comfort (25, bottom quartile): only 0% canopy means little summer shade; border-vacuum risk is also elevated (48).

Most distinctive characteristic

Most distinctive feature: exceptionally low natural comfort (25, bottom quartile).

Jacobs reading

John Charlton House is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

Performance in context

  • Reads as a modest underperformer relative to comparable parks (gap -8; cohort: small Other).

Typology classification

confidence 30%
Other

Classified as Other: does not meet any specific typology threshold (0.6 ha, 0 amenity types, frontage 0.0/100m)

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 0 active uses (none) and 3 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% weightinferred 30%
25.0 / 100

0 transit stops within 400 m of the park edge (OSM-derived). City Pedestrian Network + Street Centreline returned no nearby segments for this park (common for ravine fragments) so the rest of the connectivity components default to neutral 50.

Streets within 25 m0
Intersections within 100 m0
Paths/walkways (50 m)0
Sidewalk segments (50 m)0
Transit stops (400 m)0
Estimated entrances0
Edge connections / 100 m perimeter0.00
Park perimeter303 m

Source: OSM transit stops only (Centreline + Pedestrian Network not present near this park)

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 30%
24.9 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~545 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)545 m
Estimated green100.0%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used39

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

Enclosure / Eyes on Park

10% weightinferred 20%
50.0 / 100

No buildings within 50 m of this park edge, typical of ravines, watercourses, and hydro corridors. Enclosure is held at a neutral 50 with low confidence; for natural areas, this metric is essentially not applicable.

Buildings within 25 m0
Buildings within 50 m0
Avg edge height0.0 m (~0 floors)
Tallest edge building0.0 m
Mid-rise (3 to 7 floors)0
Low-rise (< 3 floors)0
Towers (≥ 13 floors)0
Frontage density0.00 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge0%
Blank-edge share (proxy)100%
Park perimeter303 m

Source: Toronto 3D Massing (no nearby buildings detected)

Border Vacuum Risk

10% weightpartial 60%
48.0 risk

Border-vacuum factors within 50 m of the park: York Subdivision, York Subdivision, 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 (0)

No amenities recorded for this park.

Nearby active-edge features (3)

  • parking lot0 m
  • rail: York Subdivision33 m
  • rail: York Subdivision37 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureJohn Charlton House
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
    2th
  • Edge activation
    58th
  • Connectivity
    21th
  • Amenity diversity
    50th
  • Natural comfort
    8th
  • Enclosure
    18th

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 John Charlton Housematters. 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.
  • 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.
  • 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.