Prospect Cemetery
Neighbourhood Park, in the top tier overall (score 44, rank ~86th percentile). Strongest: connectivity; weakest: amenity diversity.
Photo by Ian Totman via Google Places · cached 5/9/2026
Prospect Cemetery scores 43.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 · 17.37 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 44 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 (75) significantly outpaces natural comfort (31) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 44) 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 (75) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- A modest overperformer for its neighbourhood park typology (+9 vs the median in large Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 17.4 ha, framed by 12 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 30 active uses (retail, restaurant, community, transit_stop, cafe) and 7 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 1 mapped paths/walkways and 45 sidewalk segments within 50 m; 42 street intersections within 100 m; 35 transit stops within a 400 m walk; 4 estimated access points across ~2,100 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; 13 city-mapped trees inside the polygon (0.8/ha). Reading: exposed. Source coverage: 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
445 buildings within 25 m of the park edge (12 mid-rise, 433 low-rise, 0 tower); avg edge height 6.4 m (~2 floors); 21.2 buildings per 100 m of 2,100 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 12 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 (75)
- transit stop3 m
- restaurant — Castelo Sports Bar4 m
- restaurant — Ti Carlo's Bar5 m
- retail — Astro Meats10 m
- transit stop — Lansdowne13 m
- retail — Verdi17 m
- transit stop20 m
- restaurant — Cafe 51228 m
- transit stop — St Clair Avenue West32 m
- cafe — La Paloma33 m
- restaurant — Poop Cafe34 m
- restaurant — Rain Sushi34 m
- cafe — Poop-A-Licious34 m
- restaurant — Agio Ristorante34 m
- restaurant — 241 Pizza35 m
- transit stop — Lansdowne36 m
- transit stop — St Clair Avenue West38 m
- retail — VK Optical41 m
- transit stop — Lansdowne Avenue52 m
- parking lot53 m
- retail — Ital Record & Sport61 m
- retail — Sao Miguel Grocery's LTD64 m
- restaurant — Sway71 m
- restaurant — O Espeta Bar & Grill71 m
- parking lot73 m
- parking lot74 m
- retail — Jasmine79 m
- retail — Lovely Story79 m
- restaurant — Don Quixote80 m
- retail — Sunshine Market85 m
- parking lot85 m
- parking lot86 m
- retail — Nova Era90 m
- retail — Ontario Fashion Textiles94 m
- community — Joseph J. Piccininni Community Centre95 m
- parking lot96 m
- parking lot100 m
- restaurant — Frank's Pizza House105 m
- transit stop — St Clair Avenue West109 m
- cafe — Settemila Cafe110 m
- retail — Tanyas111 m
- transit stop — Nairn Avenue113 m
- parking lot115 m
- retail — Freedom Mobile116 m
- parking lot119 m
- retail122 m
- retail — Praia de Mira126 m
- cafe126 m
- transit stop — Caledonia128 m
- transit stop — Caledonia Road133 m
- restaurant — La Bruschetta134 m
- retail — Pronta138 m
- cafe — Chappa Corner Cafe140 m
- parking lot142 m
- transit stop — Rogers Rd at Caledonia Rd144 m
- retail — Caledonia Bakery & Pastry144 m
- retail — Tre Mari Bakery145 m
- transit stop — Nairn Avenue146 m
- transit stop — Rogers Road152 m
- transit stop — Norman Avenue156 m
- transit stop — 175 Caledonia Road157 m
- transit stop — Innes Avenue157 m
- retail — Tessuti Venezia158 m
- transit stop — 180 Caledonia Road167 m
- retail — Cabreira Meats168 m
- transit stop — Norman Avenue168 m
- transit stop — Innes Avenue168 m
- restaurant — Flavours of Sheba170 m
- retail — Diana Grocery175 m
- retail — Bobrowski Textiles181 m
- transit stop — Rogers Rd at Caledonia Rd184 m
- restaurant — Kapital Resturant and Grill185 m
- restaurant — Dairy Freeze186 m
- transit stop — Rogers Road188 m
- retail — John's Butcher Shop192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality86th
- Edge activation86th
- Connectivity96th
- Amenity diversity14th
- Natural comfort14th
- Enclosure70th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bartlett ParketteUrban Plaza44
- Joseph Sheard ParketteUrban Plaza44
- Gateway ParkCivic Square41
- Scarborough Hydro Green SpaceNeighbourhood Park40
- Chandos Park SouthParkette39
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.
p12 citywide · p15 within Neighbourhood Park
Source: Google Places API · match medium (0.81 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 Prospect 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.
- 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.