Jesse Ketchum Park
Urban Plaza, one of the city's strongest overall (score 51, rank ~96th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Julia Roitsch via Google Places · cached 5/9/2026
Jesse Ketchum Park scores 51 / 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 · 0.16 ha
Weighted across six dimensions · confidence 57%
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 51 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 (70) significantly outpaces natural comfort (32) — well placed in the city but offers little shade or ecological respite.
- 27 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 51) but weak observed activity signals (13) — 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.
Performance in context
- This park is a strong overperformer for its cohort — raw 51 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +15).
Typology classification
Classified as Urban Plaza: 1645 m², paved (0% canopy), 71.9 buildings/100 m
Edge Activation
Within 100 m of the park edge: 7 active uses (retail, transit_stop, restaurant) and 0 dead/hostile uses (none). 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 8 mapped paths/walkways and 15 sidewalk segments within 50 m; 8 street intersections within 100 m; 30 transit stops within a 400 m walk; 2 estimated access points across ~178 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 ~1244 m; 1 city-mapped trees inside the polygon (1.0/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
128 buildings within 25 m of the park edge (65 mid-rise, 36 low-rise, 27 tower); avg edge height 23.7 m (~8 floors); 71.9 buildings per 100 m of 178 m perimeter — strong frontage density; edges lean tall but still framed; 27 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 65 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 (51)
- retail — Beloved Tan7 m
- transit stop — Davenport Road21 m
- transit stop — Bay Street29 m
- retail — Piquadro51 m
- retail — LF Optical82 m
- restaurant — revitasize84 m
- retail — Hazelway Luxury Silk Bedding & Furniture96 m
- restaurant — 70 Down Yorkville104 m
- restaurant — d|bar109 m
- parking lot109 m
- restaurant — Flo's114 m
- parking lot119 m
- retail — Anthropologie121 m
- retail — Sunglass Hut126 m
- retail — BUCA129 m
- restaurant — Utsav Indian Cuisine129 m
- retail — The Noble Society132 m
- retail — Royal Dry Cleaners133 m
- restaurant — Dynasty Chinese Cuisine134 m
- retail — For Lease135 m
- retail — Otto138 m
- retail — Lolë138 m
- restaurant — Trattoria Nervosa139 m
- restaurant — Dynasty Chinese Cuisine (Last Straw Distillery)140 m
- retail — Hon Tattoo Studio - Downtown Toronto141 m
- restaurant — Chabrol142 m
- cafe — Zaza Espresso Bar149 m
- retail — La Boutique Noire149 m
- parking lot152 m
- retail — Pink Tartan155 m
- retail — Diesel159 m
- restaurant — Salutè Piano & Wine Bar161 m
- parking lot162 m
- retail — Candle Emporium162 m
- parking lot168 m
- retail — Pet Valu172 m
- restaurant — Vaticano Ristorante172 m
- retail — Kumari's175 m
- restaurant — Miznon176 m
- restaurant — Caffe Di Portici176 m
- retail — Rolo Store177 m
- retail — Taz Hair Co178 m
- retail — Laywine's180 m
- cafe — Summer's185 m
- retail — The Cashmere Shop186 m
- restaurant — Yamato188 m
- retail — Ritchie's Estate Jewellery191 m
- retail — Perry's193 m
- retail — Wine Rack197 m
- retail — Stollery's197 m
- parking lot197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality96th
- Edge activation97th
- Connectivity90th
- Amenity diversity63th
- Natural comfort15th
- Enclosure95th
Most similar parks
Closest in metric space across the five structural dimensions.
- Cathedral Church Of St. JamesParkette47
- Roxborough - Yonge St Traffic IslandUrban Plaza43
- Shaw St Traffic Median NorthCorridor / Linear Park48
- Earlscourt ParkUrban Plaza51
- Village Of Yorkville ParkUrban Plaza44
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
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.
p83 citywide · p95 within Urban Plaza
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: pedestrian intensity 20.7/100; cycling/trail 34.5/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters, google-places.
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.
- 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.