Rekai Family Parkette
Ravine / Naturalized Park, near the bottom of the city overall (score 26, rank ~15th percentile). Strongest: connectivity; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Rekai Family Parkette scores 25.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.85 ha
Weighted across six dimensions · confidence 59%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 26 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 (70) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: small Ravine / Naturalized Park ravine).
Typology classification
Classified as Ravine / Naturalized Park: 97% ravine overlap, 0% canopy
Edge Activation
Within 100 m of the park edge: 5 active uses (transit_stop, retail, cafe) and 10 dead/hostile uses (highway, parking_lot, rail). 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 3 mapped paths/walkways and 25 sidewalk segments within 50 m; 8 street intersections within 100 m; 15 transit stops within a 400 m walk; 0 estimated access points across ~393 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: 0.0% estimated tree canopy; 96.6% inside the ravine system; nearest waterbody ~565 m; 1 city-mapped trees inside the polygon (1.0/ha). Reading: ravine-cooled. Source coverage: ravine, 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
17 buildings within 25 m of the park edge (9 mid-rise, 4 low-rise, 4 tower); avg edge height 26.0 m (~9 floors); 4.3 buildings per 100 m of 393 m perimeter — strong frontage density; edges lean tall but still framed; 4 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 9 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Bloor Street East, Bloor Street East, Bloor Street East, Bloor Street East. 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 (33)
- transit stop — Howard Street0 m
- highway — Bloor Street East13 m
- highway — Bloor Street East15 m
- transit stop — Parliament Street27 m
- highway — Bloor Street East39 m
- transit stop — Howard Street42 m
- highway — Bloor Street East47 m
- cafe — KAVA COFFE HOUSE59 m
- rail — Bloor-Danforth Line62 m
- rail — Bloor-Danforth Line66 m
- rail — Bloor-Danforth Line66 m
- rail — Bloor-Danforth Line69 m
- retail — Wan2 supermarket74 m
- parking lot83 m
- highway — Bloor Street East90 m
- transit stop — Bloor Street104 m
- parking lot107 m
- rail — Bloor-Danforth Line107 m
- retail — Rose Park Tuck Shop108 m
- rail — Bloor-Danforth Line111 m
- parking lot118 m
- transit stop — Castle Frank123 m
- transit stop — Castle Frank135 m
- rail — Bloor-Danforth Line135 m
- transit stop — Castle Frank138 m
- rail — Bloor-Danforth Line138 m
- highway — Bloor Street East138 m
- parking lot166 m
- transit stop — Castle Frank Road166 m
- highway — Bloor Street East174 m
- parking lot181 m
- parking lot185 m
- transit stop — Castle Frank Road190 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality15th
- Edge activation37th
- Connectivity75th
- Amenity diversity43th
- Natural comfort49th
- Enclosure68th
Most similar parks
Closest in metric space across the five structural dimensions.
- EAST YORK CURLING CLUB - Building GroundsParkette35
- WEST MALL OUTDOOR POOL BUILDING - Building GroundsNeighbourhood Park32
- Seeley GreenbeltRavine / Naturalized Park33
- Woolenscote ParketteParkette37
- Bering YardNeighbourhood Park27
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
- Simcoe ParkTower-Community Green Space51
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: pedestrian intensity 22.9/100; cycling/trail 38.1/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters.
Does this score feel accurate?
Your read of Rekai Family 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.
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.