
Walmer Rd Parkette
Urban Plaza, middle of the pack overall (score 37, rank ~62th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Walmer Rd Parkette scores 37.3 / 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 · 0.02 ha
What's here
Weighted across six dimensions · confidence 66%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 37 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
Walmer Rd Parkette works because its enclosure score (97) is one of the city's strongest and its edge activation (1) is also above-average (31 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Walmer Rd Parkette is held back by natural comfort (35, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (97, top decile).
Jacobs reading
Walmer Rd Parkette 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 (97) but the surrounding streets are quiet (edge activation 1): frame without animation.
Typology classification
Classified as Urban Plaza: 247 m², paved (0% canopy), 39.0 buildings/100 m
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) 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 0 mapped paths/walkways and 6 sidewalk segments within 50 m; 8 street intersections within 100 m; 17 transit stops within a 400 m walk; 0 estimated access points across ~95 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
1 distinct amenity types in the park (bench). 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: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~845 m; 3 city-mapped trees inside the polygon (3.0/ha). Reading: exposed. Source coverage: 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
39 buildings within 25 m of the park edge (31 mid-rise, 8 low-rise, 0 tower); avg edge height 11.9 m (~4 floors); 39.0 buildings per 100 m of 95 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 31 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 (1 types · 3 records)
- bench
Nearby active-edge features (33)
- parking lot73 m
- parking lot77 m
- parking lot79 m
- transit stop: Spadina Road92 m
- transit stop: Davenport Rd at Walmer Rd97 m
- transit stop: Spadina Rd at Davenport Rd112 m
- parking lot125 m
- rail127 m
- rail: North Toronto Subdivision129 m
- rail: North Toronto Subdivision133 m
- rail145 m
- restaurant: Roti Cuisine of India147 m
- rail: North Toronto Subdivision148 m
- restaurant: La Dolce Vita149 m
- restaurant: Subway150 m
- rail: North Toronto Subdivision150 m
- cafe: Treats152 m
- parking lot155 m
- restaurant: Krispy Kreme157 m
- retail: Modern Laundry & Dry Cleaning159 m
- retail: Bruno Men's Hair Stylists160 m
- transit stop: Northwest Entrance160 m
- transit stop: Dupont St at Spadina Rd167 m
- transit stop: Dupont Street172 m
- transit stop: Dupont179 m
- parking lot180 m
- transit stop: Dupont182 m
- retail: D&D Express Mart184 m
- retail: XC Art Restoration187 m
- restaurant: Subway189 m
- retail: Polish Me Nails and Beauty Bar191 m
- restaurant: The Backyard Smokehouse194 m
- retail199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality62th
- Edge activation63th
- Connectivity56th
- Amenity diversity55th
- Natural comfort22th
- Enclosure100th
Most similar parks
Closest in metric space across the five structural dimensions.
- Hillhurst ParketteUrban Plaza38
- Dunn Avenue ParketteUrban Plaza38
- Castlefield ParketteUrban Plaza37
- HOLY FAMILY COMMUNITY CENTRE - Building GroundsParkette33
- Parkview Gardens ParketteUrban Plaza28
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto ZooWaterfront Park67
- Kew GardensNeighbourhood Park75
- Toronto Islands - Island ParkWaterfront Park57
- Toronto Islands - Centre Island ParkWaterfront Park55
- Mclevin Woods ParkRavine / Naturalized Park49
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: 14 events/yr (6 recurring); 1,800 public mentions; pedestrian intensity 60/100; cycling/trail 70/100. The strongest signal is observed pedestrian/cycling activity. These are illustrative sample values. Calibrate before citing.
Sample data: numbers shown here are an illustrative fixture for the 10 named parks, not a measurement.
Does this score feel accurate?
Your read of Walmer Rd Parkettematters. 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: 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.