Cp-Ps Lead
Corridor / Linear Park, near the bottom of the city overall (score 22, rank ~5th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Cp-Ps Lead scores 21.7 / 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 · 0.08 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 22 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
- Connectivity (61) significantly outpaces natural comfort (22) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (62) 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 -10; cohort: pocket Corridor / Linear Park).
Typology classification
Classified as Corridor / Linear Park: shape elongation 3.3× a circle of equal area
Edge Activation
Within 100 m of the park edge: 2 active uses (retail) and 15 dead/hostile uses (rail, 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 6 mapped paths/walkways and 15 sidewalk segments within 50 m; 14 street intersections within 100 m; 14 transit stops within a 400 m walk; 0 estimated access points across ~322 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; nearest waterbody ~1432 m. Reading: exposed. Source coverage: waterbodies. 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
31 buildings within 25 m of the park edge (0 mid-rise, 31 low-rise, 0 tower); avg edge height 6.2 m (~2 floors); 9.6 buildings per 100 m of 322 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 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: Galt Subdivision, Weston Subdivision, Weston Subdivision, Weston Subdivision, Weston Subdivision, parking_lot. 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 (50)
- rail — Weston Subdivision34 m
- rail — Weston Subdivision38 m
- rail — Weston Subdivision44 m
- rail — Weston Subdivision48 m
- rail — Galt Subdivision49 m
- parking lot50 m
- retail — JR Auto Care64 m
- retail — Ride Away Bikes78 m
- rail — North Toronto Subdivision86 m
- rail — Weston Subdivision86 m
- rail — Weston Subdivision87 m
- rail — Weston Subdivision87 m
- rail — Weston Subdivision87 m
- rail — Galt Subdivision88 m
- rail — Galt Subdivision89 m
- rail — Weston Subdivision94 m
- rail — Weston Subdivision96 m
- parking lot102 m
- transit stop — Dupont St at Osler St104 m
- rail — Weston Subdivision105 m
- parking lot106 m
- rail — Weston Subdivision108 m
- cafe — Tim Hortons115 m
- transit stop — Dupont Street116 m
- retail — M&S Auto Experts124 m
- retail — California Florist130 m
- retail131 m
- parking lot139 m
- restaurant — Gram's Pizza141 m
- cafe — Saving Mondays143 m
- cafe — Wallace Espresso144 m
- transit stop — Annette St at Dundas Street W144 m
- transit stop — Annette Street145 m
- retail — Urban Gardener149 m
- retail151 m
- retail — Ginko Tattoo154 m
- rail — Weston Subdivision157 m
- rail — Weston Subdivision158 m
- parking lot160 m
- transit stop — Annette St at Dundas Street W160 m
- restaurant — Rancho Relaxo to Go164 m
- rail — North Toronto Subdivision167 m
- rail — Weston Subdivision168 m
- rail — Weston Subdivision170 m
- parking lot171 m
- rail — Weston Subdivision172 m
- rail — Galt Subdivision175 m
- rail — Galt Subdivision179 m
- rail — Galt Subdivision182 m
- transit stop — Dupont St at Edwin Ave187 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality5th
- Edge activation17th
- Connectivity76th
- Amenity diversity25th
- Natural comfort0th
- Enclosure44th
Most similar parks
Closest in metric space across the five structural dimensions.
- Yonge Street Median Traffic IslandCorridor / Linear Park21
- Etobicoke Hydro Green SpaceCorridor / Linear Park22
- Public Access PropertyCorridor / Linear Park32
- Scarborough Hydro Green SpaceOther21
- Scarborough Hydro Green SpaceOther21
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
- Mclevin Woods ParkRavine / Naturalized Park49
- Toronto ZooWaterfront Park57
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 Cp-Ps Leadmatters. 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.