Nairn Park
Parkette, in the top tier overall (score 45, rank ~86th percentile). Strongest: amenity diversity; weakest: natural comfort.
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Nairn Park scores 45 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (25.3). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.06 ha
What's here
Getting around
37 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Not enough mapped seating to assess (3 benches mapped).
Nearest parking 23 m away. None of the 4 nearby lots records whether it has 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 65%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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The parks map is loading.Explain this score
Where did the 45 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
Nairn Park works because its amenity diversity score (35) is in the top tier and its edge activation (25) is also top quartile.
What limits this park
Nairn Park is held back by natural comfort (33, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (35, top quartile).
Jacobs reading
Nairn Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- This park is a strong overperformer for its cohort: raw 45 versus an expected 32 for similar parks (pocket Parkette) (gap +14).
Typology classification
Classified as Parkette: small (643 m²) with strong building frontage (95.6 per 100 m)
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop, retail) and 1 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 20 sidewalk segments within 50 m; 13 street intersections within 100 m; 7 transit stops within a 400 m walk; 0 estimated access points across ~111 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
4 distinct amenity types in the park (playground, tennis, bench, picnic). 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: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 3 city-mapped trees inside the polygon (3.0/ha). Reading: exposed. Source coverage: 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
106 buildings within 25 m of the park edge (0 mid-rise, 106 low-rise, 0 tower); avg edge height 5.4 m (~2 floors); 95.6 buildings per 100 m of 111 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "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. 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 (4 types · 7 records)
- playground
- tennis
- bench
- picnic
Nearby active-edge features (10)
- transit stop: Nairn Avenue18 m
- parking lot23 m
- transit stop: Nairn Avenue55 m
- retail: Amare70 m
- retail: Pronta104 m
- parking lot133 m
- transit stop: Rogers Rd at Boon Ave140 m
- transit stop: Rogers Rd at Boon Ave169 m
- parking lot173 m
- parking lot193 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality86th
- Edge activation84th
- Connectivity72th
- Amenity diversity88th
- Natural comfort18th
- Enclosure63th
Most similar parks
Closest in metric space across the five structural dimensions.
- GENERAL MERCER SCHOOL - Building GroundsAthletic / Recreation Park47
- Rees Street ParketteTower-Community Green Space39
- Halbert ParkNeighbourhood Park50
- Edgewood ParkNeighbourhood Park48
- June Callwood ParkCivic Square45
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 Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Toronto ZooRavine / Naturalized Park29
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 Nairn 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.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.