Madelaine Park
Corridor / Linear Park, in the top tier overall (score 46, rank ~88th percentile). Strongest: connectivity; weakest: natural comfort.
No photograph yet. If you have one of Madelaine Park, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Madelaine Park scores 46.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (22). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.74 ha
What's here
Getting around
80 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Typically 8 m to the nearest bench, and 12 m at the far end.
Nearest parking 28 m away. 2 of 14 nearby lots reporting 6 accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 46 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
Madelaine Park works because its connectivity score (64) is above average and its edge activation (22) is also top quartile (17 transit stops sit within a 400 m walk; 13 intersections fall within 100 m of the edge).
What limits this park
Madelaine Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (64, top quartile).
Jacobs reading
Madelaine Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (65) but the surrounding streets are quiet (edge activation 22): frame without animation.
Performance in context
- This park is a strong overperformer for its cohort: raw 46 versus an expected 34 for similar parks (small Corridor / Linear Park) (gap +12).
Typology classification
Classified as Corridor / Linear Park: shape elongation 2.1× a circle of equal area
Edge Activation
Within 100 m of the park edge: 14 active uses (transit_stop, retail, cafe) and 6 dead/hostile uses (highway, 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 1 mapped paths/walkways and 14 sidewalk segments within 50 m; 13 street intersections within 100 m; 1 subway or GO station, 16 bus stops within a 400 m walk; 2 estimated access points across ~646 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. All data sources.
Amenity Diversity
3 distinct amenity types in the park (playground, bench, drinking_water). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: ~9.8% effective canopy (5.9% from contiguous tree polygons + scattered tree density); nearest waterbody ~593 m; 14 city-mapped trees inside the polygon (14.0/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. All data sources.
Enclosure / Eyes on Park
86 buildings within 25 m of the park edge (3 mid-rise, 83 low-rise, 0 tower); avg edge height 4.9 m (~2 floors); 13.3 buildings per 100 m of 646 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 3 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
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" that suppress foot traffic and isolate the park from its neighbourhood.
Source: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (3 types · 9 records)
- playground
- bench
- drinking water
Nearby active-edge features (48)
- transit stop: Madelaine Avenue3 m
- transit stop: St. Dunstan Drive16 m
- parking lot28 m
- retail28 m
- retail42 m
- retail: The Beer Store55 m
- parking lot60 m
- retail: Laptop Depot60 m
- highway: Danforth Avenue61 m
- transit stop: Emmott Avenue61 m
- retail62 m
- retail63 m
- cafe: Addis Cafe66 m
- retail: Awash Variety69 m
- retail: Danforth Roofing Supply72 m
- parking lot73 m
- transit stop77 m
- parking lot77 m
- highway: Danforth Avenue83 m
- transit stop: Macey Avenue91 m
- parking lot106 m
- retail110 m
- transit stop: Pharmacy Avenue111 m
- parking lot115 m
- retail116 m
- parking lot119 m
- restaurant: The Spicy Grill120 m
- parking lot122 m
- transit stop: Pharmacy Ave at Denton Ave122 m
- parking lot124 m
- retail126 m
- retail: Canada Immigration Services130 m
- transit stop: Pharmacy Ave at Denton Ave135 m
- retail: Prime Design & Printing135 m
- retail141 m
- parking lot150 m
- parking lot152 m
- parking lot153 m
- retail: Long & McQuade158 m
- cafe: Ethio Natural Coffee163 m
- restaurant: Food Monks170 m
- parking lot180 m
- community: Oakridge Community Centre182 m
- transit stop189 m
- retail190 m
- parking lot: Toronto Transit Commission - East Lot192 m
- retail196 m
- transit stop196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality88th
- Edge activation79th
- Connectivity82th
- Amenity diversity78th
- Natural comfort52th
- Enclosure63th
Most similar parks
Closest in metric space across the five structural dimensions.
- Gulliver ParkNeighbourhood Park49
- Greenfield ParkParkette47
- Sweeney ParkAthletic / Recreation Park48
- Geary Avenue ParketteParkette39
- Four Oaks Gate ParkParkette50
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 Park26
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park21
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 Madelaine Park matters. 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
Data sources
- City of Toronto Open Data: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.