Rean Park
Neighbourhood Park, above average overall (score 44, rank ~83th percentile). Strongest: enclosure; weakest: edge activation.
Photo by Moody0ps via Google Places · cached 5/9/2026
Rean Park scores 43.7 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.16 ha
What's here
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 44 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
Rean Park works because its enclosure score (79) is above average and its natural comfort (64) is also top quartile (11 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Rean Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (79, top quartile).
Jacobs reading
Rean Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (79) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Neighbourhood Park: 1.2 ha, framed by 11 mid-rise vs 2 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 2 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 8 mapped paths/walkways and 11 sidewalk segments within 50 m; 7 street intersections within 100 m; 7 transit stops within a 400 m walk; 4 estimated access points across ~535 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
2 distinct amenity types in the park (playground, bench). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~27.0% effective canopy (18.5% from contiguous tree polygons + scattered tree density); nearest waterbody ~279 m; 45 city-mapped trees inside the polygon (38.6/ha). Reading: partially shaded. Source coverage: treed_area, 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
23 buildings within 25 m of the park edge (11 mid-rise, 10 low-rise, 2 tower); avg edge height 17.9 m (~6 floors); 4.3 buildings per 100 m of 535 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 2 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 11 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 (2 types · 9 records)
- playground
- bench
Nearby active-edge features (11)
- parking lot58 m
- parking lot99 m
- parking lot114 m
- highway: Highway 401 Collector118 m
- transit stop: Rean Road156 m
- transit stop: Sheppard Ave at Hawksbury Dr176 m
- parking lot188 m
- highway: Highway 401 Collector189 m
- retail: Shuku Salon Spa194 m
- parking lot196 m
- transit stop: Greenbriar Road200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality83th
- Edge activation26th
- Connectivity76th
- Amenity diversity70th
- Natural comfort81th
- Enclosure83th
Most similar parks
Closest in metric space across the five structural dimensions.
- Glen Edyth Drive ParketteRavine / Naturalized Park44
- Charles Sauriol ParketteRavine / Naturalized Park40
- Roseneath ParkParkette46
- Willard Gardens ParketteRavine / Naturalized Park46
- Cayuga ParkRavine / Naturalized Park41
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Marita Paine ParkOther47
- Leslie Grove ParkParkette73
- Queen'S Quay Traffic IslandWaterfront Park49
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p61 citywide · p59 within Neighbourhood Park
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Rean 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.
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.