Doris - Norton Park
Tower-Community Green Space, middle of the pack overall (score 36, rank ~54th percentile). Strongest: enclosure; weakest: amenity diversity.
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Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Doris - Norton Park scores 35.6 / 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 · 0.11 ha
Getting around
No walking paths mapped in OpenStreetMap.
No seating mapped in OpenStreetMap.
Nearest parking 60 m away. None of the 16 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 57%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
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
Doris - Norton Park works because its enclosure score (81) is in the top tier and its connectivity (57) is also above-average (3 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Doris - Norton Park is held back by amenity diversity (0, bottom quartile).
Most distinctive characteristic
Most distinctive feature: exceptionally low amenity diversity (0, bottom quartile).
Jacobs reading
Doris - Norton Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (81) but the surrounding streets are quiet (edge activation 0): frame without animation.
- 8 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Typology classification
Classified as Tower-Community Green Space: 8 towers vs 3 mid-rise within 25 m on a 0.1 ha park. Secondary read: Urban Plaza (1141 m², paved (0% canopy), 15.4 buildings/100 m).
Edge Activation
Within 100 m of the park edge: 11 active uses (transit_stop, retail, restaurant) and 9 dead/hostile uses (highway, 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 20 sidewalk segments within 50 m; 12 street intersections within 100 m; 4 bus stops within a 400 m walk; 0 estimated access points across ~162 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. All data sources.
Amenity Diversity
No amenities recorded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.
Natural Comfort
Natural-comfort components for this park: ~8.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1496 m; 12 city-mapped trees inside the polygon (12.0/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. All data sources.
Enclosure / Eyes on Park
25 buildings within 25 m of the park edge (3 mid-rise, 14 low-rise, 8 tower); avg edge height 19.1 m (~6 floors); 15.4 buildings per 100 m of 162 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 8 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 3 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
Source: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (0)
No amenities recorded for this park.
Nearby active-edge features (58)
- retail: 依 e's Beauty Studio59 m
- parking lot60 m
- retail: sis² by Love64 m
- restaurant: Pho Dac Biet65 m
- restaurant: Yunshang Rice Noodle66 m
- restaurant: Yang's Braised Chicken Rice66 m
- retail: Unicorn Pâtisserie & Lounge68 m
- parking lot68 m
- retail: Garden Hairdressing68 m
- restaurant: Yungshang Rice Noodles68 m
- parking lot68 m
- restaurant: 43° N BBQ Bar70 m
- parking lot72 m
- retail: H2 Nails & Spa75 m
- parking lot76 m
- parking lot77 m
- parking lot: Parking for H Mart85 m
- parking lot86 m
- transit stop: Yonge Street at Norton Avenue87 m
- highway: Yonge Street96 m
- retail102 m
- restaurant: Kim’s A La Cart108 m
- restaurant: Chat Bar108 m
- restaurant: 555 Boat Noodles109 m
- transit stop: Yonge Street at Church Avenue109 m
- restaurant: DakGoGi109 m
- retail: Toy's Collection109 m
- restaurant: Kim's Table111 m
- retail: The Printing House112 m
- restaurant: The Poke Box113 m
- parking lot113 m
- transit stop: Yonge Street at Ellerslie Avenue115 m
- retail: I Cosmetic118 m
- retail: Haiwai Travel119 m
- retail: Hair I Am Studio121 m
- parking lot122 m
- restaurant: Lee Yakiniku123 m
- retail: Wine Rack126 m
- retail: N Hair Salon128 m
- cafe: Tim Hortons131 m
- retail: The OWL’s Meat Shop132 m
- restaurant: Bao House137 m
- restaurant: Ajisen Ramen137 m
- retail: Koko Hair Salon138 m
- restaurant: Don't Yell At Me140 m
- restaurant: Subway143 m
- highway: Yonge Street146 m
- retail: La La Wellness Centre152 m
- retail: Danmi Nails & Brows155 m
- parking lot156 m
- transit stop: Yonge Street at Churchill Avenue157 m
- transit stop: Yonge St. @ Churchill Ave.159 m
- parking lot159 m
- parking lot159 m
- restaurant: Evivva Restaurant Breakfast & Lunch161 m
- parking lot187 m
- parking lot189 m
- parking lot194 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality54th
- Edge activation9th
- Connectivity72th
- Amenity diversity8th
- Natural comfort36th
- Enclosure86th
Most similar parks
Closest in metric space across the five structural dimensions.
- Coe Hill Drive ParketteUrban Plaza30
- Wychwood ParketteUrban Plaza36
- Humber River WatercourseWaterfront Park36
- ST. ALPHONSUS CATHOLIC SECONDARY SCHOOL - Building GroundsParkette33
- Joel Swirsky ParketteUrban Plaza37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park76
- Toronto Islands - Centre Island ParkWaterfront Park56
- Toronto ZooWaterfront Park68
- Toronto Islands - Island ParkWaterfront Park58
- Bellevue Square ParkCivic Square73
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 Doris - Norton Park matters. 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: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.