Norman Jewison Park
Urban Plaza, one of the city's strongest overall (score 57, 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 57.3 / 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 · 0.24 ha
Weighted across six dimensions · confidence 57%
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 57 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 (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.
- Strong physical conditions (score 57) but weak observed activity signals (8) — 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 (81) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 57 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +21).
Typology classification
Classified as Urban Plaza: 2355 m², paved (0% canopy), 39.4 buildings/100 m
Edge Activation
Within 100 m of the park edge: 73 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
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: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1463 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
95 buildings within 25 m of the park edge (50 mid-rise, 20 low-rise, 25 tower); avg edge height 31.0 m (~10 floors); 39.4 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 50 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" — 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 (80)
- parking lot — Isabella0 m
- retail — Solexotica12 m
- retail — Rabba13 m
- restaurant — Ehwa Restaurant23 m
- cafe — Treats25 m
- restaurant — The Nutition Bar28 m
- cafe — Zagmachi34 m
- restaurant — The Artful Dodger34 m
- restaurant — Miss Fu in ChengDu42 m
- retail — Cosmetic World45 m
- restaurant — Broken Rice47 m
- retail — Relx47 m
- restaurant — Dal Moro’s Fresh Pasta To Go48 m
- retail — Bootmaster48 m
- retail — Natural Nail Bar48 m
- retail — KaleMart2448 m
- retail48 m
- retail — Money Mart48 m
- retail — Gadgets Plus48 m
- retail — Rock Variety49 m
- restaurant — O Bong52 m
- restaurant — Sushi Kiwami55 m
- transit stop — Gloucester Street55 m
- restaurant — Shinyi Dumplings58 m
- highway — Yonge Street60 m
- retail60 m
- restaurant — Popeyes63 m
- retail — The Pet Store65 m
- retail — Goa Hair Salon67 m
- transit stop — Irwin Avenue69 m
- restaurant — Xihe Peking Duck69 m
- restaurant — Kothur Indian Cuisine71 m
- community — The ArQuives72 m
- retail — Cash Money72 m
- retail73 m
- restaurant — The Diner's Corner73 m
- retail — The Green Merchant73 m
- retail — Gogo Pets73 m
- retail — Nail’s Attraction73 m
- retail — ABC Books73 m
- retail — Blue Shark Coffee73 m
- retail74 m
- restaurant — Hey I Am Yogost74 m
- cafe — Hero Tea74 m
- retail — Nail's Attraction74 m
- restaurant — Shamshiri Restaurant74 m
- retail — Hockridge China74 m
- restaurant — A BBQ House74 m
- retail — Bez Bazaar74 m
- retail74 m
- retail — Kokii and ...74 m
- restaurant — Sansotei Ramen74 m
- retail — Vape Magic74 m
- cafe — CoCo Fresh Tea & Juice74 m
- retail — M-Square Cake75 m
- retail — Cheese Bakery75 m
- retail — Fangyuan75 m
- restaurant — Fat Bastard Burrito76 m
- restaurant — Monga Fried Chicken76 m
- retail78 m
- retail — Nui Vision80 m
- restaurant — Gyou Ramen81 m
- restaurant — Super Chicken82 m
- cafe — Chatime85 m
- retail — Bake Code85 m
- cafe — Caphelia Cafe86 m
- retail — D&M Footwear86 m
- retail — Bulk Mine87 m
- retail — Longhairs89 m
- retail — Pay2Day89 m
- retail — Equinoxe Hair89 m
- retail — Vava Designer Cakes & Gelato91 m
- retail — 180 Smoke93 m
- restaurant — Ethiopian House Restaurant96 m
- retail — Popeye's Supplements97 m
- restaurant — Beach Smokehouse101 m
- retail104 m
- parking lot107 m
- retail — Zazo Hair Studio108 m
- cafe — Tim Hortons108 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 diversity35th
- Natural comfort16th
- Enclosure86th
Most similar parks
Closest in metric space across the five structural dimensions.
- Asquith Green ParkUrban Plaza55
- Massey Harris ParkUrban Plaza57
- James Canning GardensUrban Plaza58
- OLD CITY HALL - Building GroundsCivic Square53
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
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.
p49 citywide · p40 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
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 consistent rhythm across the day. Source coverage: google-places.
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.
- 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.