Shawn "Blu" Rose Park
Neighbourhood Park, above average overall (score 44, rank ~84th percentile). Strongest: connectivity; weakest: edge activation.
Photo by Rahat Mehedi via Google Places · cached 5/9/2026
Shawn "Blu" Rose Park scores 44.1 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 · 2.83 ha
What's here
Getting around
588 m of mapped path, 97% paved.
2 flights of steps on the mapped network.
Not enough mapped seating to assess (1 bench mapped).
Nearest parking 20 m away. None of the 1 nearby lot records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
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
Shawn "Blu" Rose Park works because its connectivity score (74) is one of the city's strongest and its amenity diversity (35) is also top quartile (15 transit stops sit within a 400 m walk; 19 intersections fall within 100 m of the edge).
What limits this park
Shawn "Blu" Rose Park is held back by edge activation (0, bottom quartile): the surrounding streets carry too few active uses to spill into the park.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (74, top decile).
Jacobs reading
Shawn "Blu" Rose 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 (62) but the surrounding streets are quiet (edge activation 0): frame without animation.
- Strong physical conditions (score 44) but weak observed activity signals (9). The model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (74) coexists with little programming evidence. Easy to reach, but no recurring civic life detected.
Typology classification
Classified as Neighbourhood Park: 2.8 ha, framed by 0 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 1 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 9 mapped paths/walkways and 32 sidewalk segments within 50 m; 19 street intersections within 100 m; 15 transit stops within a 400 m walk; 10 estimated access points across ~847 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
4 distinct amenity types in the park (playground, sports_field, bench, splash_pad). 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: 9.9% estimated tree canopy; nearest waterbody ~422 m; 8 city-mapped trees inside the polygon (2.8/ha). Reading: exposed. 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
134 buildings within 25 m of the park edge (0 mid-rise, 134 low-rise, 0 tower); avg edge height 5.5 m (~2 floors); 15.8 buildings per 100 m of 847 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 0 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. 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 (4 types · 7 records)
- playground
- sports field
- bench
- splash pad
Nearby active-edge features (4)
- parking lot20 m
- transit stop: Empringham Drive153 m
- transit stop: Empringham Drive172 m
- transit stop: Morningview Trail187 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality84th
- Edge activation21th
- Connectivity95th
- Amenity diversity88th
- Natural comfort55th
- Enclosure51th
Most similar parks
Closest in metric space across the five structural dimensions.
- North ParkRavine / Naturalized Park44
- Wincott ParkWaterfront Park43
- Elm Park - North YorkNeighbourhood Park40
- Clarence Square ParkCivic Square40
- Birchcrest ParkParkette41
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Queen'S Quay Traffic IslandWaterfront Park49
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bernard Avenue Road AllowanceUrban Plaza57
- Trca Lands ( 26)Ravine / Naturalized Park27
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.
p35 citywide · p35 within Neighbourhood Park
Source: Google Places API · match high (0.99 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Shawn "Blu" Rose Park matters. 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.
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.