Logan Avenue Parkette
Urban Plaza, above average overall (score 41, rank ~80th percentile). Strongest: connectivity; weakest: amenity diversity.
Photo by D' Ari via Google Places · cached 5/9/2026
Logan Avenue Parkette scores 41.1 / 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 · 0.15 ha
Weighted across six dimensions · confidence 61%
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 41 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
- The park is enclosed by buildings (81) but the surrounding streets are quiet (edge activation 7) — frame without animation.
- Strong physical conditions (score 41) but weak observed activity signals (9) — 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 (70) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Typology classification
Classified as Urban Plaza: 1509 m², paved (18% canopy), 41.9 buildings/100 m
Edge Activation
Within 100 m of the park edge: 39 active uses (restaurant, retail, transit_stop, cafe) and 10 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 8 mapped paths/walkways and 18 sidewalk segments within 50 m; 15 street intersections within 100 m; 15 transit stops within a 400 m walk; 2 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: 18.2% estimated tree canopy; nearest waterbody ~921 m; 1 city-mapped trees inside the polygon (1.0/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
101 buildings within 25 m of the park edge (7 mid-rise, 94 low-rise, 0 tower); avg edge height 6.9 m (~2 floors); 41.9 buildings per 100 m of 241 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 7 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. 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 lot39 m
- retail — Lord Byron Men’s Hairstyling42 m
- restaurant — Alexandros52 m
- parking lot59 m
- restaurant — Mezes60 m
- cafe — One Gram By Primo60 m
- retail60 m
- retail — Fruitland60 m
- retail — Rowe Farms60 m
- cafe — Tim Hortons64 m
- cafe — Red Rocket Coffee64 m
- parking lot66 m
- restaurant — Ala Antioch Express66 m
- retail — blo67 m
- restaurant — Christina’s69 m
- restaurant — The Friendly Greek70 m
- restaurant — Kalyvia Restaurant71 m
- highway — Danforth Avenue75 m
- highway — Danforth Avenue75 m
- highway — Danforth Avenue75 m
- retail — Jade Thread and Wax Bar76 m
- highway — Danforth Avenue76 m
- highway — Danforth Avenue77 m
- parking lot77 m
- highway — Danforth Avenue78 m
- retail — Urban Curls Boutique79 m
- restaurant — Estiatorio Soulas80 m
- retail — Tsaa82 m
- retail — Chester Variety85 m
- restaurant — Casa Manila86 m
- restaurant — VIP Billiard & Lounge91 m
- restaurant — Salonika Estiatorio92 m
- restaurant — Mocha Mocha92 m
- restaurant — Messini92 m
- cafe — Gong Cha93 m
- restaurant — Wanas Shawarma93 m
- restaurant — Menali93 m
- restaurant — El Charro93 m
- restaurant — Monkey Sushi93 m
- retail — easyfinancial93 m
- restaurant — Casa Sushi93 m
- restaurant — Komi Banh Mi Bar93 m
- restaurant — Sambal94 m
- restaurant — bb.q Chicken95 m
- restaurant — Chef Mustafa96 m
- restaurant — Stacked97 m
- retail — Vaffi Salon & Aesthetics99 m
- cafe — Caffé Demetre99 m
- transit stop — Chester East99 m
- retail — Danforth Barber Shop100 m
- restaurant — The Burger's Priest103 m
- highway — Danforth Avenue107 m
- retail — Athens Pastries107 m
- retail — Glamazing111 m
- restaurant — Astoria112 m
- restaurant — Pantheon114 m
- restaurant — Koh Samiji115 m
- highway — Danforth Avenue115 m
- retail — The Night Baker118 m
- restaurant — Mary Brown's120 m
- restaurant — MomoHut & Gardens Inc121 m
- highway — Danforth Avenue122 m
- transit stop — Chester Avenue123 m
- restaurant — Herby124 m
- transit stop — Chester West126 m
- retail — Rosy Nails127 m
- restaurant — The Ballyhoo Public House129 m
- retail — Lucky Spot132 m
- retail — Bom Dia Cafe and Bakery134 m
- retail — Chrysalis134 m
- retail135 m
- transit stop — Chester135 m
- transit stop — Chester135 m
- cafe — 521 Cafe & Bar136 m
- parking lot138 m
- cafe — Trinacria138 m
- retail — Becker's Bridals139 m
- restaurant — Tacos Moras141 m
- transit stop — Chester Avenue144 m
- retail — Alex Farm Cheese145 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality80th
- Edge activation67th
- Connectivity90th
- Amenity diversity60th
- Natural comfort71th
- Enclosure86th
Most similar parks
Closest in metric space across the five structural dimensions.
- Garrison Creek ParkRavine / Naturalized Park31
- Spadina ParkUrban Plaza41
- East York Hydro Green SpaceCorridor / Linear Park33
- Everett ParkUrban Plaza39
- Glebe Manor SquareCivic Square39
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park21
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park18
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.
p37 citywide · p26 within Urban Plaza
Source: Google Places API · match high (0.96 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 Logan Avenue Parkettematters. 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.
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.