
Jesse Ketchum Park
Urban Plaza, middle of the pack overall (score 37, rank ~64th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Jesse Ketchum Park scores 37.2 / 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 · 0.07 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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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
Jesse Ketchum Park works because its enclosure score (97) is one of the city's strongest and its connectivity (59) is also above-average (33 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Jesse Ketchum Park is held back by natural comfort (23, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (97, top decile).
Jacobs reading
Jesse Ketchum Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (59) significantly outpaces natural comfort (23): well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (97) but the surrounding streets are quiet (edge activation 9): frame without animation.
Typology classification
Classified as Urban Plaza: 730 m², paved (0% canopy), 61.9 buildings/100 m
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) and 2 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 14 sidewalk segments within 50 m; 12 street intersections within 100 m; 26 transit stops within a 400 m walk; 0 estimated access points across ~110 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 ~1192 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
68 buildings within 25 m of the park edge (33 mid-rise, 32 low-rise, 3 tower); avg edge height 13.8 m (~5 floors); 61.9 buildings per 100 m of 110 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 33 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 (18)
- transit stop: Bay Street33 m
- parking lot78 m
- parking lot86 m
- transit stop: Davenport Road91 m
- parking lot109 m
- retail: Beloved Tan129 m
- transit stop: Belmont Street145 m
- parking lot147 m
- parking lot152 m
- parking lot156 m
- transit stop: New Street173 m
- retail: Piquadro174 m
- parking lot174 m
- parking lot178 m
- retail: Royal Dry Cleaners179 m
- retail: The Anti-Aging Shop180 m
- retail: The Noble Society196 m
- parking lot197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality64th
- Edge activation68th
- Connectivity72th
- Amenity diversity14th
- Natural comfort1th
- Enclosure100th
Most similar parks
Closest in metric space across the five structural dimensions.
- Euclid Avenue ParketteUrban Plaza32
- Dunn Avenue ParketteUrban Plaza34
- Percy ParkUrban Plaza34
- Belmont ParketteUrban Plaza39
- Yorkminster Park Baptist Church ParkCorridor / Linear Park26
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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 Jesse Ketchum 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.
- 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.
- 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.