
Measurement Park
Other, below average overall (score 30, rank ~28th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Measurement Park scores 29.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (42). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.07 ha
Weighted across six dimensions · confidence 55%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 30 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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- The park is enclosed by buildings (65) but the surrounding streets are quiet (edge activation 2) — frame without animation.
Performance in context
- A modest overperformer for its other typology (+8 vs the median in pocket Other).
- Although its citywide rank is low (28th), it ranks highly among similar others (69th) — strong for what it is, even if the absolute score is moderate.
Typology classification
Classified as Other: does not meet any specific typology threshold (0.1 ha, 0 amenity types, frontage 2.8/100m)
Edge Activation
Within 100 m of the park edge: 6 active uses (retail, transit_stop) and 6 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 5 mapped paths/walkways and 13 sidewalk segments within 50 m; 6 street intersections within 100 m; 18 transit stops within a 400 m walk; 0 estimated access points across ~145 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, 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 components for this park: ~1.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~212 m; 2 city-mapped trees inside the polygon (2.0/ha). Reading: exposed. Source coverage: waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
4 buildings within 25 m of the park edge (1 mid-rise, 3 low-rise, 0 tower); avg edge height 8.6 m (~3 floors); 2.8 buildings per 100 m of 145 m perimeter — moderate frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, Eastern Avenue. 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
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 lot27 m
- transit stop — Queen Street East28 m
- highway — Eastern Avenue44 m
- transit stop — Kingston Road58 m
- transit stop — Kingston Road62 m
- transit stop — Kingston Road66 m
- highway — Eastern Avenue73 m
- parking lot — Impark75 m
- highway — Kingston Road76 m
- retail — Greenwood Off Track Wagering85 m
- parking lot88 m
- transit stop — Kingston Road90 m
- parking lot105 m
- cafe — Country Style108 m
- retail — You and Me Smoke & Gift113 m
- retail — Dog Haven Studio118 m
- retail — Tokyo Shiatsu122 m
- retail — ETC Laundromats122 m
- retail — Major Convenience124 m
- parking lot130 m
- parking lot140 m
- parking lot148 m
- transit stop — Queen Street East149 m
- transit stop — Queen Street East154 m
- parking lot — Impark156 m
- retail — Pet Valu158 m
- retail — Fluff Dog Wellness Spa175 m
- restaurant — Harvey's176 m
- parking lot — Winners Circle/Northern Dancer178 m
- highway — Kingston Road183 m
- retail — LCBO185 m
- highway — Eastern Avenue188 m
- parking lot192 m
- parking lot193 m
- restaurant — Casa di Giorgio197 m
- parking lot — Church parking198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality28th
- Edge activation65th
- Connectivity68th
- Amenity diversity66th
- Natural comfort27th
- Enclosure58th
Most similar parks
Closest in metric space across the five structural dimensions.
- Gustav ParketteParkette33
- Scarborough Hydro Green SpaceNeighbourhood Park30
- DON MILLS LIBRARY - Building GroundsParkette30
- CRESTWOOD COLLEGE - Building GroundsNeighbourhood Park32
- Scotia ParketteParkette25
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park71
- Leslie Grove ParkParkette68
- Market Lane ParkUrban Plaza63
- Bellevue Square ParkCivic Square66
- Ryerson Community ParkUrban Plaza60
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 Measurement 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.
- 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
- City of Toronto Open Data — Parks (Green Space)Polygon boundaries, official names, types.
- 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.