
East Lynn Park
Neighbourhood Park, in the top tier overall (score 43, rank ~85th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by Steven Lamothe via Google Places · cached 5/9/2026
East Lynn Park scores 43.1 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (28.4). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.00 ha
Weighted across six dimensions · confidence 72%
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 43 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
- High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
- Strong physical conditions (score 43) but weak observed activity signals (10) — 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.
Performance in context
- A modest overperformer for its neighbourhood park typology (+6 vs the median in medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 1.0 ha, framed by 4 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 45 active uses (restaurant, transit_stop, retail, cafe) 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 3 mapped paths/walkways and 20 sidewalk segments within 50 m; 15 street intersections within 100 m; 17 transit stops within a 400 m walk; 4 estimated access points across ~530 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 (picnic, playground, tennis). 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: ~19.5% effective canopy (4.2% from contiguous tree polygons + scattered tree density); nearest waterbody ~267 m; 28 city-mapped trees inside the polygon (27.9/ha). Reading: exposed. Source coverage: treed_area, 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
142 buildings within 25 m of the park edge (4 mid-rise, 138 low-rise, 0 tower); avg edge height 6.1 m (~2 floors); 26.8 buildings per 100 m of 530 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Danforth Avenue, Danforth Avenue, Danforth Avenue, Danforth Avenue. 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 (3 types · 3 records)
- picnic
- playground
- tennis
Nearby active-edge features (80)
- transit stop — East Lynn Avenue5 m
- highway — Danforth Avenue13 m
- retail24 m
- highway — Danforth Avenue27 m
- retail — Universal Diapers31 m
- retail — Nanda-World Import & Export Trading Co31 m
- restaurant — Pizza Nova32 m
- retail — Mississaugas of the Credit Medicine Wheel32 m
- retail — 6Skates32 m
- cafe — Seb's Cappuccino32 m
- restaurant — The Groove Bar & Grill32 m
- retail — Ciraco Custom Picture Framers32 m
- retail — Celena's Bakery32 m
- retail — Fresh 1 Market32 m
- transit stop — Woodmount Avenue32 m
- retail — Pellas Studio33 m
- retail — Wag On The Danforth34 m
- highway — Danforth Avenue36 m
- cafe — Cafe Cocoro37 m
- retail — Modern Hair37 m
- retail — Mary's Brigadeiro39 m
- highway — Danforth Avenue42 m
- retail — Ace Awards43 m
- retail — Marina Travel & Cruise Agency45 m
- retail — Green Mart47 m
- restaurant — Carter's Ice Cream47 m
- retail48 m
- restaurant — The Samosarie49 m
- retail — Royal Beef50 m
- retail — Sharmin's Proper Pies54 m
- retail — 416 H.I.K57 m
- retail — Danforth Carpet Connection60 m
- retail — My Sewing Studio62 m
- cafe — Circus Coffee House63 m
- cafe — Quattro Amici Cafe67 m
- retail — Midas67 m
- retail — The Hardwork Department71 m
- parking lot72 m
- retail72 m
- retail72 m
- retail — Wheels & Wings Hobbies76 m
- retail — Fabric Spark77 m
- retail — Barbers Lounge82 m
- retail — 4 Kilo Butcher83 m
- retail — The Canine Social Company87 m
- retail — Corso Shoes & Clearence89 m
- retail90 m
- restaurant — Bhojan Ghar92 m
- retail — Madame Gateaux95 m
- highway — Danforth Avenue96 m
- restaurant — Tipsy Moose Pub99 m
- highway — Danforth Avenue100 m
- retail — Wine Rack105 m
- retail — Little Ones Closet116 m
- highway — Danforth Avenue117 m
- retail — Moberly Natural Foods118 m
- transit stop — Glebemount Avenue122 m
- retail — Natural Florist123 m
- restaurant — Kilt & Harp Pub124 m
- retail — Dulux Paints125 m
- retail — Zav Coffee Shop & Gallery129 m
- retail — Expedia Cruises132 m
- cafe — Fresh Art Studio & Cafe133 m
- restaurant — Hirut136 m
- retail139 m
- transit stop — Glebemount Avenue140 m
- retail — Danforth Bazaar142 m
- retail — Hollywood Canteen145 m
- retail — Silly Goose Kids147 m
- retail — Prince of Wales Garden & Market148 m
- rail154 m
- rail155 m
- retail155 m
- highway — Danforth Avenue156 m
- retail159 m
- retail — Mashi Moosh161 m
- restaurant — Firkin on Danforth163 m
- highway — Danforth Avenue163 m
- retail178 m
- retail — Dollarama180 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality85th
- Edge activation88th
- Connectivity90th
- Amenity diversity93th
- Natural comfort69th
- Enclosure72th
Most similar parks
Closest in metric space across the five structural dimensions.
- Lytton ParkRavine / Naturalized Park54
- Bayview Village ParkRavine / Naturalized Park50
- Gulliver ParkNeighbourhood Park49
- Highland Creek Community ParkRavine / Naturalized Park50
- Woolner ParkParkette51
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkRavine / Naturalized Park21
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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.
“Neighborhood park offering a wading pool, picnic area & playground, plus a winter ice rink.” — Google editorial summary
p92 citywide · p89 within Neighbourhood Park
Source: Google Places API · match high (0.99 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 public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of East Lynn 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.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
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.