Kempford Parkette
Corridor / Linear Park, in the top tier overall (score 45, rank ~89th percentile). Strongest: connectivity; weakest: edge activation.
Photo by Janice Wong via Google Places · cached 5/9/2026
Kempford Parkette scores 44.7 / 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
Weighted across six dimensions · confidence 63%
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 45 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
- The park is enclosed by buildings (87) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- Strong physical conditions (score 45) but weak observed activity signals (9) — 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 (80) 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 45 versus an expected 32 for similar parks (small Corridor / Linear Park) (gap +12).
Typology classification
Classified as Corridor / Linear Park: shape elongation 3.4× a circle of equal area
Edge Activation
Within 100 m of the park edge: 0 active uses (none) 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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 12 mapped paths/walkways and 40 sidewalk segments within 50 m; 22 street intersections within 100 m; 21 transit stops within a 400 m walk; 17 estimated access points across ~979 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: ~63.0% effective canopy (2.2% from contiguous tree polygons + scattered tree density); nearest waterbody ~1416 m; 90 city-mapped trees inside the polygon (90.0/ha). Reading: well-shaded. 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
117 buildings within 25 m of the park edge (37 mid-rise, 66 low-rise, 14 tower); avg edge height 14.0 m (~5 floors); 12.0 buildings per 100 m of 979 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 14 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 37 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 (0)
No amenities recorded for this park.
Nearby active-edge features (55)
- parking lot96 m
- parking lot102 m
- parking lot116 m
- parking lot — Fire and Ambulance Parking120 m
- parking lot134 m
- parking lot140 m
- parking lot144 m
- retail — Danmi Nails & Brows148 m
- parking lot149 m
- retail — La La Wellness Centre149 m
- parking lot150 m
- parking lot156 m
- retail — Koko Hair Salon160 m
- parking lot160 m
- parking lot162 m
- parking lot162 m
- parking lot163 m
- parking lot164 m
- cafe — Royaltea167 m
- restaurant — Hot Impression168 m
- restaurant — Superhot168 m
- parking lot169 m
- retail — The OWL’s Meat Shop169 m
- parking lot169 m
- retail — N Hair Salon169 m
- parking lot171 m
- retail — Haiwai Travel173 m
- retail — Luna Bakery174 m
- transit stop — Yonge Street at Churchill Avenue177 m
- parking lot177 m
- transit stop — Yonge St. @ Churchill Ave.177 m
- parking lot180 m
- retail — Hair I Am Studio180 m
- restaurant — Oh Geul Boh Geul Korean Restaurant180 m
- restaurant — Hui Lau Shan185 m
- restaurant — Bowl Bowl185 m
- restaurant — DakGoGi187 m
- restaurant — i-migo187 m
- retail — Celebrity Hair Stylist188 m
- retail — Bruce Hairstylist188 m
- retail — Lisa’s Nails Spa188 m
- retail — DigitM189 m
- restaurant — Zhang's Kitchen 张小厨189 m
- retail — Pink Lipstick Beauty Supply189 m
- retail — Central Vape City189 m
- retail — Pumpkin Clothing and Accessories190 m
- retail — KC Tour190 m
- retail — Sun Hair Salon190 m
- restaurant — My Sushi190 m
- restaurant — Crystal Palace190 m
- restaurant — San Tong191 m
- restaurant — Ai Taiker191 m
- highway — Yonge Street192 m
- transit stop — Yonge Street at Horsham Avenue193 m
- parking lot199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality89th
- Edge activation42th
- Connectivity99th
- Amenity diversity48th
- Natural comfort81th
- Enclosure93th
Most similar parks
Closest in metric space across the five structural dimensions.
- Kay Gardner Beltline ParkRavine / Naturalized Park35
- Alexander Muir Memorial GardensCivic Square33
- Ring Road Linear ParkCorridor / Linear Park36
- Mount Pleasant CemeteryOther36
- Brookdale ParkRavine / Naturalized Park43
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park18
- Rouge ParkRavine / Naturalized Park21
- Trca Lands ( 58)Waterfront Park18
- Toronto Islands - Island ParkWaterfront Park52
- Queen'S Quay Traffic IslandWaterfront Park49
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.
p24 citywide · p38 within Corridor / Linear Park
Source: Google Places API · match high (0.95 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 Kempford 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.
- 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 — 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.