Withrow Park
Neighbourhood Park, one of the city's strongest overall (score 50, rank ~95th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by Chen Shaowei via Google Places · cached 5/9/2026
Withrow Park scores 50 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (1). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 8.15 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 50 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 (85) significantly outpaces natural comfort (43) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (86) but the surrounding streets are quiet (edge activation 1) — frame without animation.
- Strong physical conditions (score 50) but weak observed activity signals (12) — 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 (85) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 50 versus an expected 35 for similar parks (large Neighbourhood Park) (gap +16).
Typology classification
Classified as Neighbourhood Park: 8.1 ha, framed by 70 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 2 active uses (cafe, retail) and 3 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 40 mapped paths/walkways and 82 sidewalk segments within 50 m; 45 street intersections within 100 m; 28 transit stops within a 400 m walk; 18 estimated access points across ~1,316 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
8 distinct amenity types in the park (basketball, dog_area, fitness, picnic, playground, sports_field, …). 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: ~8.9% effective canopy (0.5% from contiguous tree polygons + scattered tree density); nearest waterbody ~1040 m; 104 city-mapped trees inside the polygon (12.8/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
310 buildings within 25 m of the park edge (70 mid-rise, 240 low-rise, 0 tower); avg edge height 8.1 m (~3 floors); 23.6 buildings per 100 m of 1,316 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 70 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, 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 (8 types · 9 records)
- basketball
- dog area
- fitness
- picnic
- playground
- sports field
- tennis
- washroom
Nearby active-edge features (21)
- parking lot29 m
- parking lot44 m
- parking lot72 m
- retail — Luke's Grocery85 m
- cafe — Riverdale Perk Cafe87 m
- parking lot117 m
- retail — knick knack paddy whack120 m
- parking lot184 m
- retail — Alpha Variety189 m
- cafe — Riverdale Perk Cafe196 m
- restaurant — Sinaloa Factory197 m
- cafe — The Shmooz197 m
- restaurant — Tapp’s Bar and Restaurant198 m
- restaurant — Ramen Buta-Nibo198 m
- restaurant — Royalty Cuisine Shawarma198 m
- transit stop — Dingwall Avenue199 m
- retail199 m
- restaurant — The Fox&Fiddle199 m
- retail — Ocean's Treasures199 m
- retail — Carpe Diem200 m
- retail — Sophia's Lingerie200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality95th
- Edge activation64th
- Connectivity100th
- Amenity diversity100th
- Natural comfort44th
- Enclosure91th
Most similar parks
Closest in metric space across the five structural dimensions.
- Eglinton ParkNeighbourhood Park40
- Ramsden ParkRavine / Naturalized Park43
- Parkway Forest ParkRavine / Naturalized Park40
- Christie Pits ParkRavine / Naturalized Park44
- Balmy Beach ParkWaterfront Park46
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park28
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.
“Recreational retreat featuring tennis courts, baseball fields, a playground & seasonal skating rink.” — Google editorial summary
p96 citywide · p94 within Neighbourhood Park
Source: Google Places API · match high (1.00 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 Withrow 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.
- 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.
- 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.