Pape Avenue Cemetery
Urban Plaza, one of the city's strongest overall (score 50, rank ~96th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Alexander Plata via Google Places · cached 5/9/2026
Pape Avenue Cemetery scores 50.2 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. 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 · 0.20 ha
Weighted across six dimensions · confidence 56%
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 50 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 (61) significantly outpaces natural comfort (22) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 50) 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.
Performance in context
- This park is a strong overperformer for its cohort — raw 50 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +14).
Typology classification
Classified as Urban Plaza: 1965 m², paved (0% canopy), 30.5 buildings/100 m
Edge Activation
Within 100 m of the park edge: 11 active uses (transit_stop, restaurant, retail, cafe) 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 6 mapped paths/walkways and 10 sidewalk segments within 50 m; 16 street intersections within 100 m; 24 transit stops within a 400 m walk; 0 estimated access points across ~236 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 ~1381 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
72 buildings within 25 m of the park edge (11 mid-rise, 61 low-rise, 0 tower); avg edge height 7.7 m (~3 floors); 30.5 buildings per 100 m of 236 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 11 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 (56)
- retail — 18 K Mutts38 m
- restaurant — Pizza Pide53 m
- restaurant — Maple Leaf Tavern56 m
- transit stop — Pape Avenue67 m
- transit stop — Pape Avenue67 m
- transit stop — Pape Avenue74 m
- retail — Josie's Lock and Key86 m
- retail — Oriental Hair Salon88 m
- restaurant — Nganda91 m
- cafe — Tim Hortons92 m
- retail — Italy Hair Design94 m
- restaurant — Little Caesars103 m
- retail — Freedom Mobile105 m
- retail — Cash 4 You118 m
- retail — Riverside Fabrics127 m
- parking lot127 m
- parking lot131 m
- transit stop — Marjory Avenue144 m
- parking lot145 m
- retail — Tech Source149 m
- rail — Kingston Subdivision149 m
- retail — Value Mobile;Lifestyle Healthcare153 m
- retail — Two Cats Cannabis Co.153 m
- rail — Kingston Subdivision153 m
- retail — Guo Jewellery155 m
- restaurant — 241 Pizza156 m
- retail — T-Shirt Factory158 m
- retail — Gateway Newstands159 m
- cafe — CoCo Fresh Tea & Juice161 m
- restaurant — Pho Com Tam 168 Vietnamese Cuisines161 m
- retail — Society162 m
- retail — Absolute Dollar162 m
- retail — Beddington's167 m
- retail — Blanca Shoes169 m
- transit stop — Marjory Avenue171 m
- transit stop — Marjory Avenue174 m
- retail — Bilin Jewellery176 m
- retail177 m
- retail — Nails for You178 m
- restaurant — Poor Romeo182 m
- retail — Gateway Lotto182 m
- restaurant — GB Hand-Pulled Noodles183 m
- retail — Cellular X183 m
- retail — Nature's Health Food185 m
- retail — Fido186 m
- restaurant — Pinkeryon's Snack Bar187 m
- rail — Kingston Subdivision187 m
- retail — Staples189 m
- retail — Advance Opticians189 m
- rail — Kingston Subdivision191 m
- retail — Les Bagages191 m
- retail — Philippine Oriental Food Market193 m
- restaurant — Los Cantaritos193 m
- retail — Kin Kin Bakery196 m
- retail — The Source197 m
- retail200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality96th
- Edge activation99th
- Connectivity76th
- Amenity diversity14th
- Natural comfort1th
- Enclosure90th
Most similar parks
Closest in metric space across the five structural dimensions.
- Earlscourt ParkUrban Plaza51
- Hto Park WestUrban Plaza49
- Lakeview Avenue ParketteUrban Plaza52
- Graham ParkUrban Plaza54
- Prescott ParketteUrban Plaza48
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.
p14 citywide · p11 within Urban Plaza
Source: Google Places API · match medium (0.59 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 Pape Avenue Cemeterymatters. 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.