Roycroft Park Lands
Ravine / Naturalized Park, above average overall (score 41, rank ~73th percentile). Strongest: enclosure; weakest: edge activation.
No photograph yet. If you have one of Roycroft Park Lands, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Roycroft Park Lands scores 40.6 / 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 · 1.57 ha
What's here
Getting around
240 m of mapped path, 0% paved.
No steps mapped on the path network.
Not enough mapped seating to assess (2 benches mapped).
No parking mapped in or within 200 m of this park.
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 42%
Data confidence: low
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 41 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
Roycroft Park Lands works because its enclosure score (82) is in the top tier and its natural comfort (71) is also top quartile (18 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Roycroft Park Lands 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 low edge activation (0, bottom quartile).
Jacobs reading
Roycroft Park Lands 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 (82) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Ravine / Naturalized Park: 100% ravine overlap, 27% canopy. Secondary read: Neighbourhood Park (1.6 ha, framed by 18 mid-rise vs 1 towers).
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 0 dead/hostile uses (none). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 11 sidewalk segments within 50 m; 7 street intersections within 100 m; 2 bus stops within a 400 m walk; 4 estimated access points across ~631 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.
Amenity Diversity
1 distinct amenity types in the park (bench). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: 26.6% estimated tree canopy; 100.0% inside the ravine system; nearest waterbody ~1158 m; 11 city-mapped trees inside the polygon (7.0/ha). Reading: ravine-cooled. Source coverage: treed_area, 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. All data sources.
Enclosure / Eyes on Park
71 buildings within 25 m of the park edge (18 mid-rise, 52 low-rise, 1 tower); avg edge height 8.8 m (~3 floors); 11.2 buildings per 100 m of 631 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 18 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
Source: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (1 types · 2 records)
- bench
Nearby active-edge features (0)
No nearby features within 200 m of this park edge.
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality73th
- Edge activation4th
- Connectivity54th
- Amenity diversity52th
- Natural comfort86th
- Enclosure87th
Most similar parks
Closest in metric space across the five structural dimensions.
- Chauncey - Islington ParketteParkette40
- Pemberton ParketteParkette38
- Thorogood GardensParkette42
- Widdicombe Hill ParkParkette41
- Trudelle ParkRavine / Naturalized Park40
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette73
- Arnell PlazaCivic Square50
- Kew GardensNeighbourhood Park76
- Bellevue Square ParkCivic Square73
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
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 Roycroft Park Lands 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.
- 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: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.