
Prairie Drive Park
Other, middle of the pack overall (score 36, rank ~57th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Prairie Drive Park scores 36 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 · 1.83 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.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 36 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
Prairie Drive Park works because its amenity diversity score (40) is in the top tier and its connectivity (67) is also top quartile.
What limits this park
Prairie Drive Park is held back by edge activation (0, bottom quartile): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (84).
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (40, top decile).
Jacobs reading
Prairie Drive Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- High connectivity coexists with high border-vacuum risk (84): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Performance in context
- A modest overperformer for its other typology (+6 vs the median in medium Other).
- Although its citywide rank is low (57th), it ranks highly among similar others (87th): strong for what it is, even if the absolute score is moderate.
Typology classification
Classified as Other: does not meet any specific typology threshold (1.8 ha, 5 amenity types, frontage 7.7/100m)
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop) and 7 dead/hostile uses (parking_lot, rail). 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 12 mapped paths/walkways and 24 sidewalk segments within 50 m; 10 street intersections within 100 m; 17 transit stops within a 400 m walk; 4 estimated access points across ~712 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
5 distinct amenity types in the park (picnic, playground, tennis, washroom, bench). 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: 1.6% estimated tree canopy; 27.8% inside the ravine system; nearest waterbody ~155 m. Reading: water-cooled. Source coverage: treed_area, ravine, waterbodies. 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
55 buildings within 25 m of the park edge (0 mid-rise, 54 low-rise, 1 tower); avg edge height 5.8 m (~2 floors); 7.7 buildings per 100 m of 712 m perimeter (strong frontage density); edges are barely there or single-storey; 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 0 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, Line 2 Bloor-Danforth, Line 2 Bloor-Danforth, Line 2 Bloor-Danforth, Line 2 Bloor-Danforth. 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 (5 types · 11 records)
- picnic
- playground
- tennis
- washroom
- bench
Nearby active-edge features (16)
- parking lot0 m
- transit stop: Teesdale Place4 m
- rail: Line 2 Bloor-Danforth20 m
- transit stop: Teesdale Place22 m
- rail: Line 2 Bloor-Danforth23 m
- rail: Line 2 Bloor-Danforth23 m
- rail: Line 2 Bloor-Danforth24 m
- transit stop: Albion Avenue88 m
- parking lot90 m
- parking lot92 m
- retail: Mona's Unique Hairstyle104 m
- retail: L&L Convenience109 m
- parking lot151 m
- rail168 m
- rail168 m
- community: Oakridge Community Centre187 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality57th
- Edge activation24th
- Connectivity88th
- Amenity diversity92th
- Natural comfort52th
- Enclosure38th
Most similar parks
Closest in metric space across the five structural dimensions.
- Gracedale ParkNeighbourhood Park45
- Martingrove Gardens ParkAthletic / Recreation Park43
- Roundhouse ParkNeighbourhood Park34
- Wigmore ParkNeighbourhood Park45
- Buttonwood ParkAthletic / Recreation Park41
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Queen'S Quay Traffic IslandWaterfront Park49
- Bernard Avenue Road AllowanceUrban Plaza57
- Ryerson Community ParkUrban Plaza62
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 Prairie Drive 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.
- 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.