Private Thomas Millar Armstrong Park
Other, below average overall (score 27, rank ~16th percentile). Strongest: edge activation; weakest: connectivity.
Private Thomas Millar Armstrong Park scores 26.5 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. 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.
Area · 0.44 ha
Weighted across six dimensions · confidence 40%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 27 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
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
Private Thomas Millar Armstrong Park works because its edge activation score (8) is middle of the pack and its natural comfort (50) is also above-average.
What limits this park
Private Thomas Millar Armstrong Park is held back by connectivity (16, bottom quartile).
Most distinctive characteristic
Most distinctive feature: exceptionally low connectivity (16, bottom quartile).
Jacobs reading
Private Thomas Millar Armstrong Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Natural comfort (50) significantly outpaces connectivity (16): restorative but hard to reach for daily use.
Performance in context
- Although its citywide rank is low (16th), it ranks highly among similar others (37th): strong for what it is, even if the absolute score is moderate.
Typology classification
Classified as Other: does not meet any specific typology threshold (0.4 ha, 0 amenity types, frontage 0.0/100m)
Edge Activation
Within 100 m of the park edge: 4 active uses (transit_stop, retail, restaurant, cafe) and 4 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 0 sidewalk segments within 50 m; 0 street intersections within 100 m; 20 transit stops within a 400 m walk; 0 estimated access points across ~271 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
No amenities recorded. Score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
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.
Source: Treed Area / Ravine / Waterbodies / Street Trees
Enclosure / Eyes on Park
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.
Source: Toronto 3D Massing (no nearby buildings detected)
Border Vacuum 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" that suppress foot traffic and isolate the park from its neighbourhood.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
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 (26)
- parking lot23 m
- cafe: Palgong Tea64 m
- restaurant: Hikari Sushi House65 m
- retail: Sea Spa76 m
- transit stop: Highway 7 / Saddle Creek Dr78 m
- highway: Highway 785 m
- parking lot86 m
- parking lot95 m
- highway: Highway 7110 m
- transit stop: Highway 7 / Saddle Creek Drive117 m
- restaurant: My Wonderful Kitchen119 m
- highway: Highway 7123 m
- highway: Highway 7125 m
- parking lot131 m
- parking lot150 m
- highway: Highway 7152 m
- retail: Best Dim Sum Food153 m
- parking lot160 m
- restaurant: Uncle Qiang BBQ166 m
- restaurant: Da Long Yi Hotpot173 m
- retail: Footscape Reflexology and Wellness Spa175 m
- parking lot178 m
- highway: Highway 7182 m
- transit stop: Chalmers Road183 m
- transit stop: Highway 7 / Chalmers Road191 m
- parking lot192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality16th
- Edge activation67th
- Connectivity13th
- Amenity diversity52th
- Natural comfort64th
- Enclosure22th
Most similar parks
Closest in metric space across the five structural dimensions.
- John C. PriceOther27
- Cawthra ParkOther23
- Dixie Woods ParkOther26
- Bayview ParketteOther25
- Longmeadow ParkOther29
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette73
- Kew GardensNeighbourhood Park75
- Bellevue Square ParkCivic Square73
- High ParkWaterfront Park51
- Sir Winston Churchill ParkRavine / Naturalized Park71
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 Private Thomas Millar Armstrong 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.
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.
Data sources
- 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 FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.