Alex Marchetti Park
Waterfront Park, middle of the pack overall (score 37, rank ~65th percentile). Strongest: connectivity; weakest: enclosure.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Alex Marchetti Park scores 37.3 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (1.1). Border-vacuum risk is elevated (60). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 10.67 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 37 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 (64) but the surrounding streets are quiet (edge activation 1) — frame without animation.
- High connectivity coexists with high border-vacuum risk (60) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Waterfront Park: 7% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 12% canopy).
Edge Activation
Within 100 m of the park edge: 8 active uses (transit_stop, cafe, retail, restaurant) and 7 dead/hostile uses (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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 15 mapped paths/walkways and 52 sidewalk segments within 50 m; 30 street intersections within 100 m; 26 transit stops within a 400 m walk; 15 estimated access points across ~2,967 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
1 distinct amenity types in the park (playground). 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: 12.3% estimated tree canopy; 100.0% inside the ravine system; 6.6% water surface; 60 city-mapped trees inside the polygon (5.6/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, 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
194 buildings within 25 m of the park edge (16 mid-rise, 178 low-rise, 0 tower); avg edge height 5.8 m (~2 floors); 6.5 buildings per 100 m of 2,967 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 16 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, parking_lot, parking_lot, parking_lot, 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 (1 types · 1 records)
- playground
Nearby active-edge features (48)
- parking lot24 m
- parking lot25 m
- parking lot31 m
- parking lot40 m
- parking lot42 m
- transit stop — Braecrest Avenue at The Westway43 m
- parking lot64 m
- retail — Dollar Guys Plus65 m
- retail — 1hr Cleaners73 m
- parking lot74 m
- restaurant — Mary Brown's90 m
- transit stop — Islington Ave at Fenley Dr92 m
- restaurant — Istar Restaurant96 m
- cafe — Tim Hortons99 m
- transit stop — The Westway at Trio Ave East Side100 m
- parking lot101 m
- retail — easyfinancial103 m
- cafe — Starbucks107 m
- transit stop — The Westway at Royal York Rd108 m
- restaurant — 2 for 1 Pizza109 m
- retail — Sherwin-Williams111 m
- retail — The Hairstyling Place113 m
- transit stop — The Westway at Trio Ave113 m
- retail — Eyestyle Optical116 m
- parking lot116 m
- retail — Device Dilemma117 m
- transit stop — 245 Dixon Rd (No Frills)118 m
- restaurant — Pizza Hut Delivery120 m
- retail — Computers & Cell Phones121 m
- parking lot122 m
- retail — Al-Haram Halal Meat & Groceries126 m
- transit stop — Royal York Rd at The Westway South Side128 m
- transit stop — Royal York Rd at The Westway134 m
- parking lot135 m
- retail — Nail Gallery139 m
- parking lot142 m
- parking lot143 m
- retail — People's Convenience143 m
- transit stop — Islington Ave at Winnipeg Rd147 m
- parking lot147 m
- retail — Travel Expressions151 m
- transit stop — Royal York Rd at Lawrence Ave West153 m
- cafe — Tim Hortons162 m
- transit stop — Lawrence Ave West at Royal York Rd163 m
- parking lot169 m
- parking lot171 m
- transit stop — Lawrence Ave West at Royal York Rd East Side172 m
- transit stop — Dixon Road176 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality65th
- Edge activation64th
- Connectivity97th
- Amenity diversity76th
- Natural comfort74th
- Enclosure55th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bridletowne ParkNeighbourhood Park41
- Clarence Square ParkCivic Square42
- Guildwood Village ParkCorridor / Linear Park42
- Duncairn ParkCorridor / Linear Park41
- Brookbanks ParkRavine / Naturalized Park33
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Joseph Burr Tyrrell ParkUrban Plaza50
- Queen'S Quay Traffic IslandWaterfront Park49
- Bernard Avenue Road AllowanceUrban Plaza54
- Simcoe ParkTower-Community Green Space51
- Manor Community GreenUrban Plaza57
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 Alex Marchetti 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.