
Don Panos Parkette
Parkette, in the top tier overall (score 47, rank ~88th percentile). Strongest: edge activation; weakest: amenity diversity.
Photo by Matt Mernagh via Google Places · cached 5/9/2026
Data updated
Don Panos Parkette scores 46.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is elevated (42). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.20 ha
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.
No seating mapped in OpenStreetMap.
Nearest parking 26 m away. None of the 5 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 57%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 47 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
Don Panos Parkette works because its edge activation score (56) is one of the city's strongest and its connectivity (72) is also top decile (its perimeter is lined with active uses).
What limits this park
Don Panos Parkette is held back by amenity diversity (0, bottom quartile); border-vacuum risk is also elevated (42).
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (56, top decile).
Jacobs reading
Don Panos Parkette sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (72) significantly outpaces natural comfort (39): well placed in the city but offers little shade or ecological respite.
Performance in context
- This park is a strong overperformer for its cohort: raw 47 versus an expected 32 for similar parks (pocket Parkette) (gap +15).
Typology classification
Classified as Parkette: small (2011 m²) with strong building frontage (23.4 per 100 m)
Edge Activation
Within 100 m of the park edge: 24 active uses (retail, transit_stop, cafe, restaurant) and 3 dead/hostile uses (rail, 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 6 mapped paths/walkways and 14 sidewalk segments within 50 m; 14 street intersections within 100 m; 6 streetcar or LRT stops, 1 bus stop within a 400 m walk; 4 estimated access points across ~188 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
No amenities recorded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; 12.5% inside the ravine system; nearest waterbody ~1323 m; 1 city-mapped trees inside the polygon (1.0/ha). Reading: exposed. Source coverage: 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. All data sources.
Enclosure / Eyes on Park
44 buildings within 25 m of the park edge (0 mid-rise, 44 low-rise, 0 tower); avg edge height 6.0 m (~2 floors); 23.4 buildings per 100 m of 188 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 0 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: Newmarket Subdivision, Carpark 133, 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 (0)
No amenities recorded for this park.
Nearby active-edge features (51)
- restaurant: Samba19 m
- transit stop: Laughton20 m
- retail: Lucky Star Flowers23 m
- parking lot: Carpark 13326 m
- rail: Newmarket Subdivision28 m
- retail: Boston Variety35 m
- retail: Art Collective CODA38 m
- restaurant: Flor do Ave40 m
- retail: West York Appliances & Furniture40 m
- retail: Sandro's Barber Shop40 m
- parking lot40 m
- retail: City Nails46 m
- restaurant: Távora47 m
- retail: Dollar & Variety Store49 m
- retail: St. Clair Bakery49 m
- retail: Golden Star53 m
- retail: Sister's Choice63 m
- restaurant: El Rancherito64 m
- cafe: Capri Caffe74 m
- retail: Bad Buddha Tattoes79 m
- transit stop: Caledonia84 m
- retail: Versatile Barbers & Hair Studio84 m
- cafe: Aunty Em's Deli & Coffee88 m
- retail: TJ Fine Upholstering Furniture89 m
- transit stop: Laughton94 m
- retail: Power Coin Laundry94 m
- cafe: Portovelo Cafe100 m
- restaurant: Kapital Resturant and Grill105 m
- restaurant: Unique Cafe Restaurant110 m
- restaurant: Dairy Freeze113 m
- restaurant: Garagem 1675116 m
- restaurant: Sabors Tradicionais116 m
- retail: Librarie Mosaique121 m
- parking lot122 m
- restaurant: Marina’s Casa da Comida126 m
- cafe: Venti Twenty138 m
- retail: Tokes & Tins143 m
- retail: Caledonia Bakery & Pastry145 m
- retail: Tip Top Barbershop149 m
- retail155 m
- transit stop: Caledonia Road156 m
- transit stop: Caledonia163 m
- parking lot174 m
- parking lot177 m
- restaurant: Sabor Brazil180 m
- retail: Newediuk Funeral Home182 m
- transit stop: St Clair Avenue West186 m
- retail: Benjamin Moore186 m
- retail: Nova Era199 m
- restaurant: Marinho Sports Bar199 m
- rail: Newmarket Subdivision199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality88th
- Edge activation97th
- Connectivity94th
- Amenity diversity6th
- Natural comfort33th
- Enclosure61th
Most similar parks
Closest in metric space across the five structural dimensions.
- Marie Baldwin ParkCorridor / Linear Park53
- Scarborough Hydro Green SpaceCorridor / Linear Park49
- Scarborough Hydro Green SpaceCorridor / Linear Park49
- Scarborough Hydro Green SpaceNeighbourhood Park48
- Scarborough Hydro Green SpaceNeighbourhood Park48
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
- Paul Coffey ParkOther30
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p32 citywide · p31 within Parkette
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Don Panos Parkette 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.
- 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: 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.