
Mcgregor Park
Athletic / Recreation Park, middle of the pack overall (score 38, rank ~66th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Mcgregor Park scores 38.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (84). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 3.91 ha
What's here
Weighted across six dimensions · confidence 72%
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 38 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
Mcgregor Park works because its amenity diversity score (56) is one of the city's strongest and its connectivity (60) is also top quartile (10 distinct amenity types support different kinds of use).
What limits this park
Mcgregor Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 84.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (56, top decile).
Jacobs reading
Mcgregor 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 (71) but the surrounding streets are quiet (edge activation 0): frame without animation.
- High connectivity coexists with high border-vacuum risk (84): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, sports_field, tennis, ice_rink, pool). Secondary read: Neighbourhood Park (3.9 ha, framed by 9 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 4 active uses (community, transit_stop) and 12 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 0 mapped paths/walkways and 23 sidewalk segments within 50 m; 6 street intersections within 100 m; 13 transit stops within a 400 m walk; 4 estimated access points across ~791 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
10 distinct amenity types in the park (basketball, community_centre, playground, sports_field, tennis, ice_rink, …). 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: ~7.7% effective canopy (0.8% from contiguous tree polygons + scattered tree density); nearest waterbody ~744 m; 43 city-mapped trees inside the polygon (11.0/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
50 buildings within 25 m of the park edge (9 mid-rise, 41 low-rise, 0 tower); avg edge height 7.2 m (~2 floors); 6.3 buildings per 100 m of 791 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 9 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, parking_lot, 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: 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 (10 types · 18 records)
- basketball
- community centre
- playground
- sports field
- tennis
- ice rink
- library
- picnic
- pool
- washroom
Nearby active-edge features (40)
- community: Toronto Public Library - McGregor Park0 m
- community: McGregor Park Community Centre0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- transit stop: 2231 Lawrence Ave East3 m
- parking lot12 m
- parking lot35 m
- transit stop: 2216 Lawrence Avenue East41 m
- parking lot42 m
- parking lot49 m
- parking lot60 m
- parking lot64 m
- parking lot90 m
- parking lot97 m
- parking lot98 m
- parking lot108 m
- parking lot109 m
- retail: Al-Quresh118 m
- cafe: Coffee In125 m
- parking lot131 m
- restaurant: Roadhouse Wings132 m
- parking lot134 m
- restaurant: Spice is Rite141 m
- parking lot146 m
- retail146 m
- restaurant: Wong's Asian Cuisine156 m
- parking lot158 m
- restaurant: Craves Bites & Cafe161 m
- parking lot162 m
- parking lot163 m
- retail167 m
- retail172 m
- retail: Firdous177 m
- parking lot181 m
- parking lot183 m
- retail183 m
- retail190 m
- parking lot190 m
- restaurant: Scarborough Pizza Kabob196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality66th
- Edge activation38th
- Connectivity77th
- Amenity diversity99th
- Natural comfort41th
- Enclosure72th
Most similar parks
Closest in metric space across the five structural dimensions.
- Leaside ParkNeighbourhood Park38
- Prince Of Wales ParkNeighbourhood Park43
- Malvern ParkAthletic / Recreation Park37
- Howard Talbot ParkNeighbourhood Park37
- Grand Avenue ParkNeighbourhood Park37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Mclevin Woods ParkRavine / Naturalized Park49
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Queen'S Quay Traffic IslandWaterfront Park49
- Trca Lands ( 26)Ravine / Naturalized Park27
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 Mcgregor 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- 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. 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.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.