Mccowan Road Cemetery
Corridor / Linear Park, middle of the pack overall (score 33, rank ~41th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Magnolia677, CC BY 4.0 via Wikimedia Commons
Data updated
Mccowan Road Cemetery scores 32.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.66 ha
Getting around
No walking paths mapped in OpenStreetMap.
No seating mapped in OpenStreetMap.
Nearest parking 11 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 59%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Explain this score
Where did the 33 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
Mccowan Road Cemetery works because its edge activation score (17) is above average.
What limits this park
Mccowan Road Cemetery is held back by natural comfort (37, below-average): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (17, top quartile).
Jacobs reading
Mccowan Road Cemetery sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Typology classification
Classified as Corridor / Linear Park: shape elongation 2.8× a circle of equal area
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) 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: 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 1 mapped paths/walkways and 10 sidewalk segments within 50 m; 5 street intersections within 100 m; 1 subway or GO station, 3 bus stops within a 400 m walk; 0 estimated access points across ~795 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
No amenities recorded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; 23.4% inside the ravine system; nearest waterbody ~504 m. Reading: exposed. Source coverage: ravine, waterbodies. 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
62 buildings within 25 m of the park edge (0 mid-rise, 62 low-rise, 0 tower); avg edge height 4.5 m (~2 floors); 7.8 buildings per 100 m of 795 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). All data sources.
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: 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 (0)
No amenities recorded for this park.
Nearby active-edge features (5)
- parking lot11 m
- transit stop: McCowan Rd at Martindale Rd57 m
- transit stop: McCowan Rd at Martindale Rd75 m
- transit stop: McCowan Rd at Bridlegrove Dr118 m
- transit stop: McCowan Rd at Bridlegrove Dr122 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality41th
- Edge activation76th
- Connectivity43th
- Amenity diversity43th
- Natural comfort29th
- Enclosure31th
Most similar parks
Closest in metric space across the five structural dimensions.
- Massey Creek RavineRavine / Naturalized Park33
- North York Hydro Green SpaceNeighbourhood Park33
- Scarborough Hydro Green SpaceWaterfront Park32
- Scarborough Hydro Green SpaceWaterfront Park32
- Cabot Court Traffic IslandWaterfront Park35
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park76
- High ParkWaterfront Park53
- Leslie Grove ParkParkette73
- Bellevue Square ParkCivic Square73
- Trinity Bellwoods ParkNeighbourhood Park67
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 Mccowan Road Cemetery 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
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.