Cathedral Church Of St. James
Parkette, in the top tier overall (score 47, rank ~92th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Kanchan Kumar via Google Places · cached 5/9/2026
Cathedral Church Of St. James scores 47.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.64 ha
Weighted across six dimensions · confidence 59%
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 47 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 (78) significantly outpaces natural comfort (33) — well placed in the city but offers little shade or ecological respite.
- 13 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 47) but weak observed activity signals (11) — 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 (78) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- A modest overperformer for its parkette typology (+11 vs the median in small Parkette).
Typology classification
Classified as Parkette: small (6418 m²) with strong building frontage (22.9 per 100 m)
Edge Activation
Within 100 m of the park edge: 26 active uses (restaurant, retail, transit_stop, cafe) and 4 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 21 mapped paths/walkways and 25 sidewalk segments within 50 m; 15 street intersections within 100 m; 43 transit stops within a 400 m walk; 4 estimated access points across ~363 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 ~864 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
83 buildings within 25 m of the park edge (60 mid-rise, 10 low-rise, 13 tower); avg edge height 30.2 m (~10 floors); 22.9 buildings per 100 m of 363 m perimeter — strong frontage density; edges lean tall but still framed; 13 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 60 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, 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 (0)
No amenities recorded for this park.
Nearby active-edge features (80)
- transit stop — Church Street11 m
- transit stop — King Street East15 m
- parking lot19 m
- retail22 m
- retail22 m
- retail — King's Cleaners22 m
- restaurant — Quesada22 m
- retail — Imperial Rug Galleries Ltd.23 m
- restaurant — Score on King24 m
- retail — Indochino24 m
- parking lot36 m
- restaurant — Freshii45 m
- parking lot48 m
- retail — INS Market54 m
- transit stop — Church Street58 m
- retail — The Printing House66 m
- restaurant — St. Louis Bar & Grill68 m
- cafe — Third Wave Coffee Inc.69 m
- cafe — Tim Hortons69 m
- restaurant — Terroni73 m
- transit stop — Jarvis Street76 m
- parking lot77 m
- restaurant — Biagio Ristorante77 m
- restaurant — Pi Co.78 m
- cafe — Versus80 m
- retail — Sol'Exotica84 m
- retail — Valet Service Cleaners98 m
- retail — World Salon98 m
- cafe — Treats99 m
- restaurant — Nami Japanese Restaurant100 m
- restaurant — Gyu-Kaku101 m
- restaurant — Subway106 m
- restaurant — Triple A Bar111 m
- restaurant — Piano Piano113 m
- retail — Edible Arrangements117 m
- restaurant — Chadani120 m
- retail — Spiritleaf124 m
- restaurant — Mercatto Restaurant126 m
- restaurant — Carisma126 m
- retail — O Sole Salon & Spa127 m
- cafe — Sam James Coffee Bar127 m
- restaurant127 m
- restaurant — Pizzaiolo128 m
- cafe — Young Cafe128 m
- restaurant — Don Alfonso 1890128 m
- restaurant — Woods131 m
- retail — Metro133 m
- cafe — Cafe Oro di Napoli134 m
- retail134 m
- retail — Ma-Zone135 m
- restaurant — Bombay Palace Haute Indian Cuisine136 m
- retail — Bulloch Tailors136 m
- parking lot138 m
- cafe — Chatime138 m
- retail — Flowers & Flowers139 m
- retail — Curl Bar141 m
- retail — Front Street Florist143 m
- restaurant — Hothouse Restaurant & Bar143 m
- restaurant — Pat Quinn Lounge144 m
- retail — INS Market144 m
- retail — Qi Salon146 m
- retail — Flatiron’s Christmas Market146 m
- retail — Tony Shamas Hair & Salon147 m
- transit stop — Wellington Street East149 m
- restaurant — P.J. O'Brien Restaurant150 m
- retail — Cloré Beauty Supply152 m
- retail — The UPS Store152 m
- retail — Global Optical Boutique152 m
- restaurant — Omg! It's Yogurt153 m
- retail — Beauchamp Art Gallery153 m
- retail — Carlson Wagonlit154 m
- restaurant — Mr. Sushi154 m
- restaurant — TSB 2000154 m
- retail — Samir Hair Design155 m
- retail — Stagioni mens157 m
- retail — The Optic Zone161 m
- restaurant — Bar Ardo161 m
- restaurant — Big Smoke Burger161 m
- restaurant — The Resevoir Lounge162 m
- retail — BoConcept162 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality92th
- Edge activation96th
- Connectivity97th
- Amenity diversity39th
- Natural comfort16th
- Enclosure87th
Most similar parks
Closest in metric space across the five structural dimensions.
- Hubbard ParkParkette50
- Robertson ParketteUrban Plaza42
- Jesse Ketchum ParkUrban Plaza51
- Shaw St Traffic Median NorthCorridor / Linear Park48
- Bristol Avenue Parkette EastUrban Plaza47
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 ParkRavine / Naturalized Park26
- Rouge ParkWaterfront Park25
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.
“An 1853 Gothic Revival cathedral, this Anglican parish holds services & offers concerts & events.” — Google editorial summary
p97 citywide · p100 within Parkette
Source: Google Places API · match high (0.97 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 Cathedral Church Of St. Jamesmatters. 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.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
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.