Paul Martel Park
Urban Plaza, middle of the pack overall (score 35, rank ~51th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Paul Martel Park scores 34.6 / 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.
Loading map…
The parks map is loading.Explain this score
Where did the 35 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
Paul Martel Park works because its enclosure score (94) is one of the city's strongest and its connectivity (61) is also top quartile (27 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Paul Martel Park is held back by natural comfort (36, below-average): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (94, top decile).
Jacobs reading
Paul Martel Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
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 0): frame without animation.
- 6 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- Citywide rank is high (51st) but typology rank is more modest (31st): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
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: 7 active uses (transit_stop, 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 to 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" that 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 (61)
- transit stop: Spadina Station33 m
- parking lot36 m
- transit stop: Spadina Station40 m
- transit stop: Spadina Road East Entrance43 m
- parking lot47 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
- highway: Bloor Street West93 m
- cafe: Tim Hortons99 m
- highway: Spadina Avenue104 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: 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 lot188 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 vitality51th
- Edge activation50th
- Connectivity79th
- Amenity diversity47th
- Natural comfort26th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bleecker ParketteUrban Plaza36
- Dacre - Valleymede Traffic IslandRavine / Naturalized Park35
- MARJORY CARTON APARTMENTS - Building GroundsUrban Plaza33
- Marlborough Place ParketteCorridor / Linear Park29
- Rosedale Ravine LandsRavine / Naturalized Park35
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Island ParkWaterfront Park57
- Toronto Islands - Centre Island ParkWaterfront Park55
- Toronto ZooWaterfront Park67
- Kew GardensNeighbourhood Park75
- Trca Lands ( 26)Ravine / Naturalized Park27
Human activity signals: not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
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. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- 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.