Paul Martel Park
Urban Plaza, middle of the pack overall (score 36, rank ~60th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Paul Martel Park scores 36.3 / 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 · 0.10 ha
Weighted across six dimensions · confidence 52%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 36 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 (36) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (94) but the surrounding streets are quiet (edge activation 7) — frame without animation.
- 6 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 36) but weak observed activity signals (14) — 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.
Typology classification
Classified as Urban Plaza: 1033 m², paved (0% canopy), 29.4 buildings/100 m
Edge Activation
Within 100 m of the park edge: 10 active uses (transit_stop, retail, cafe, restaurant) and 7 dead/hostile uses (parking_lot, highway). 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 11 mapped paths/walkways and 0 sidewalk segments within 50 m; 5 street intersections within 100 m; 29 transit stops within a 400 m walk; 2 estimated access points across ~160 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, 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: ~4.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 6 city-mapped trees inside the polygon (6.0/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
47 buildings within 25 m of the park edge (27 mid-rise, 14 low-rise, 6 tower); avg edge height 15.2 m (~5 floors); 29.4 buildings per 100 m of 160 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 6 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 27 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. 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 (64)
- transit stop — Spadina Station33 m
- parking lot36 m
- transit stop — Spadina Station40 m
- transit stop — Spadina Road East Entrance43 m
- retail — Wine Rack46 m
- parking lot47 m
- retail — Republic of Hair49 m
- highway — Bloor Street West62 m
- restaurant — Masters63 m
- highway — Bloor Street West65 m
- transit stop — Spadina Avenue69 m
- parking lot69 m
- transit stop — Spadina Road West Entrance70 m
- highway — Bloor Street West76 m
- retail — 7-Eleven91 m
- highway — Bloor Street West93 m
- cafe — Tim Hortons99 m
- parking lot105 m
- transit stop — Spadina Avenue106 m
- highway — Bloor Street West110 m
- highway — Bloor Street West110 m
- transit stop — Spadina112 m
- transit stop — Spadina112 m
- retail — Cedar Basket113 m
- retail — Freedom Mobile114 m
- retail — Cuppa Tea120 m
- retail — Nice Cleaners120 m
- retail — La La Bakeshop123 m
- retail — Duke125 m
- highway — Bloor Street West126 m
- parking lot128 m
- restaurant — Zaad128 m
- community — The Native Canadian Centre of Toronto130 m
- restaurant — Majestic Shawarma130 m
- parking lot — Huron Street Parking132 m
- restaurant — Daily Dumpling135 m
- highway — Bloor Street West136 m
- parking lot139 m
- retail — glossix143 m
- parking lot147 m
- rail147 m
- transit stop — Lowther Avenue153 m
- highway — Bloor Street West154 m
- rail154 m
- restaurant — WooJoo Bunsik157 m
- parking lot157 m
- retail — Sutherland-Chan Clinic159 m
- parking lot159 m
- retail — Enchanting beauty162 m
- restaurant — The Fortunate Fox164 m
- retail — Galleria The Kitchen Express167 m
- highway — Bloor Street West172 m
- retail — Three Cent Copy Centre176 m
- retail — St. George 1hr. Cleaner181 m
- transit stop — Walmer Road184 m
- highway — Bloor Street West185 m
- parking lot187 m
- transit stop — Lowther Avenue188 m
- cafe — Chatime189 m
- parking lot190 m
- parking lot192 m
- parking lot193 m
- restaurant — Gyubee Japanese Grill194 m
- parking lot195 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality60th
- Edge activation67th
- Connectivity76th
- Amenity diversity66th
- Natural comfort26th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Avonshire ParketteUrban Plaza37
- Belmont ParketteUrban Plaza39
- FOREST HILL PUBLIC LIBRARY - Building GroundsRavine / Naturalized Park27
- Robertson Davies ParkUrban Plaza38
- Matt Cohen ParkUrban Plaza27
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
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 43.4/100; cycling/trail 72.3/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters.
Does this score feel accurate?
Your read of Paul Martel 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.