Norman Jewison Park
Urban Plaza, one of the city's strongest overall (score 63, rank ~99th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Boris Tang (DoM&S) via Google Places · cached 5/9/2026
Norman Jewison Park scores 62.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (27.3). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.19 ha
What's here
Weighted across six dimensions · confidence 66%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 63 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
Norman Jewison Park works because its edge activation score (76) is one of the city's strongest and its connectivity (81) is also top decile (its perimeter is lined with active uses).
What limits this park
Norman Jewison Park is held back by natural comfort (33, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (76, top decile).
Jacobs reading
Norman Jewison Park is a dense urban social park. Jacobs would recognise it: lots of eyes, lots of streets, lots of edge life; not where you go to escape.
Tradeoffs
- Connectivity (81) significantly outpaces natural comfort (33): well placed in the city but offers little shade or ecological respite.
- 25 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- This park is a strong overperformer for its cohort: raw 63 versus an expected 38 for similar parks (pocket Urban Plaza) (gap +25).
Typology classification
Classified as Urban Plaza: 1881 m², paved (0% canopy), 36.6 buildings/100 m
Edge Activation
Within 100 m of the park edge: 72 active uses (retail, restaurant, transit_stop, cafe, community) and 2 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 20 mapped paths/walkways and 23 sidewalk segments within 50 m; 21 street intersections within 100 m; 39 transit stops within a 400 m walk; 6 estimated access points across ~241 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
3 distinct amenity types in the park (bench, drinking_water, garden). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1461 m; 3 city-mapped trees inside the polygon (3.0/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
Enclosure / Eyes on Park
88 buildings within 25 m of the park edge (45 mid-rise, 18 low-rise, 25 tower); avg edge height 31.6 m (~11 floors); 36.6 buildings per 100 m of 241 m perimeter (strong frontage density); edges lean tall but still framed; 25 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 45 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Isabella. 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 (3 types · 12 records)
- bench
- drinking water
- garden
Nearby active-edge features (80)
- parking lot: Isabella3 m
- retail: Solexotica19 m
- retail: Rabba20 m
- restaurant: Ehwa Restaurant21 m
- cafe: Treats23 m
- restaurant: The Artful Dodger28 m
- restaurant: The Nutition Bar36 m
- cafe: Zagmachi41 m
- restaurant: Miss Fu in ChengDu49 m
- retail: Cosmetic World53 m
- restaurant: Broken Rice55 m
- retail: Relx55 m
- restaurant: Dal Moro’s Fresh Pasta To Go55 m
- retail: Bootmaster55 m
- retail: KaleMart2455 m
- retail: Natural Nail Bar55 m
- retail55 m
- retail: Money Mart55 m
- retail: Gadgets Plus56 m
- retail: Rock Variety56 m
- restaurant: O Bong58 m
- restaurant: Sushi Kiwami60 m
- transit stop: Gloucester Street61 m
- restaurant: Shinyi Dumplings63 m
- retail65 m
- restaurant: Popeyes67 m
- highway: Yonge Street67 m
- retail: The Pet Store69 m
- retail: Goa Hair Salon70 m
- community: The ArQuives71 m
- restaurant: Xihe Peking Duck73 m
- restaurant: Kothur Indian Cuisine75 m
- transit stop: Irwin Avenue76 m
- retail: Cash Money79 m
- retail: The Green Merchant80 m
- retail: Nail’s Attraction80 m
- retail80 m
- retail: Hockridge China80 m
- retail: ABC Books81 m
- restaurant: The Diner's Corner81 m
- retail: Gogo Pets81 m
- retail: Blue Shark Coffee81 m
- retail81 m
- restaurant: Shamshiri Restaurant81 m
- retail: Bez Bazaar81 m
- cafe: Hero Tea81 m
- retail: Nail's Attraction81 m
- restaurant: Hey I Am Yogost81 m
- restaurant: A BBQ House81 m
- retail82 m
- restaurant: Sansotei Ramen82 m
- retail: Vape Magic82 m
- cafe: CoCo Fresh Tea & Juice82 m
- retail: Cheese Bakery82 m
- retail: Kokii and ...82 m
- retail: M-Square Cake82 m
- restaurant: Fat Bastard Burrito82 m
- retail: Fangyuan82 m
- restaurant: Monga Fried Chicken83 m
- retail84 m
- restaurant: Gyou Ramen86 m
- retail: Nui Vision87 m
- restaurant: Super Chicken87 m
- retail: Bulk Mine89 m
- cafe: Chatime89 m
- retail: Longhairs90 m
- retail: Bake Code90 m
- retail: D&M Footwear91 m
- cafe: Caphelia Cafe93 m
- retail: Pay2Day93 m
- retail: 180 Smoke95 m
- retail: Vava Designer Cakes & Gelato96 m
- retail: Equinoxe Hair96 m
- retail: Popeye's Supplements98 m
- restaurant: Ethiopian House Restaurant103 m
- restaurant: Beach Hill Smokehouse105 m
- restaurant: Constantine107 m
- retail108 m
- cafe: Tim Hortons109 m
- retail: Zazo Hair Studio112 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation99th
- Connectivity99th
- Amenity diversity78th
- Natural comfort17th
- Enclosure85th
Most similar parks
Closest in metric space across the five structural dimensions.
- Asquith Green ParkUrban Plaza61
- James Canning GardensUrban Plaza62
- Maple Leaf Forever ParkUrban Plaza65
- Arena GardensUrban Plaza60
- OLD CITY HALL - Building GroundsCivic Square57
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.
p53 citywide · p44 within Urban Plaza
Source: Google Places API · match unverified (0.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Norman Jewison 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.
- 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.