Joshua Glover Park
Urban Plaza, middle of the pack overall (score 35, rank ~52th percentile). Strongest: enclosure; weakest: connectivity.
Joshua Glover Park scores 34.8 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.21 ha
What's here
Getting around
129 m of mapped path, 100% paved.
No steps mapped on the path network.
Typically 9 m to the nearest bench, and 16 m at the far end.
Nearest parking 19 m away. None of the 19 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 62%
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.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 35 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
Joshua Glover Park works because its enclosure score (93) is one of the city's strongest and its amenity diversity (32) is also top quartile (29 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Joshua Glover Park is held back by connectivity (25, bottom quartile).
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (93, top decile).
Jacobs reading
Joshua Glover 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 (93) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- Citywide rank is high (52nd) but typology rank is more modest (32nd): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Urban Plaza: 2096 m², paved (0% canopy), 17.1 buildings/100 m
Edge Activation
Within 100 m of the park edge: 9 active uses (cafe, retail, restaurant) and 13 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 0 mapped paths/walkways and 0 sidewalk segments within 50 m; 3 street intersections within 100 m; 8 transit stops within a 400 m walk; 0 estimated access points across ~246 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
4 distinct amenity types in the park (fitness, playground, bench, drinking_water). 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: ~7.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~193 m; 10 city-mapped trees inside the polygon (10.0/ha). Reading: water-cooled. Source coverage: 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
42 buildings within 25 m of the park edge (29 mid-rise, 11 low-rise, 2 tower); avg edge height 17.1 m (~6 floors); 17.1 buildings per 100 m of 246 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 2 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 29 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. 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 · 12 records)
- fitness
- playground
- bench
- drinking water
Nearby active-edge features (62)
- parking lot19 m
- retail: Jiffy Lube25 m
- retail: Haven Boutique48 m
- parking lot48 m
- parking lot55 m
- rail: Galt Subdivision58 m
- cafe: Starbucks62 m
- rail: Galt Subdivision62 m
- retail: Marché Leo’s65 m
- rail65 m
- rail: Galt Subdivision66 m
- rail: Galt Subdivision70 m
- rail: Galt Subdivision72 m
- retail: Mastermind Toys74 m
- restaurant: Region79 m
- rail80 m
- retail: Pet Valu83 m
- parking lot91 m
- parking lot92 m
- retail: Living Lighting94 m
- parking lot99 m
- retail: Evergreen Dry Cleaners100 m
- restaurant: Domino's104 m
- parking lot108 m
- retail: Simone Marie Belgian Chocolate108 m
- parking lot108 m
- retail: Sanelli's Cookery112 m
- parking lot114 m
- rail: Galt Subdivision116 m
- restaurant: Magoo's117 m
- retail: Golden Hanger119 m
- retail: Zest for Living120 m
- retail: Marcon Kitchen & Bath121 m
- retail: VSS Salon123 m
- retail: Palmer Massage Therapy Clinic124 m
- retail: Janina's Haircuts124 m
- retail: JC Art & Framing124 m
- retail: DC Nails124 m
- rail: Galt Subdivision128 m
- parking lot129 m
- restaurant: Ma Maison138 m
- retail: Ma Maison140 m
- retail: 4M Prints140 m
- retail: Chain Reaction Bicycles143 m
- rail145 m
- parking lot146 m
- parking lot148 m
- parking lot148 m
- parking lot148 m
- restaurant: Capi’s Pizza150 m
- parking lot152 m
- parking lot161 m
- transit stop162 m
- retail: Bruno's Foods163 m
- parking lot168 m
- parking lot168 m
- parking lot170 m
- rail: Galt Subdivision178 m
- transit stop181 m
- retail: Lambton Mini Mart183 m
- rail: Galt Subdivision197 m
- rail: Galt Subdivision199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality52th
- Edge activation61th
- Connectivity20th
- Amenity diversity85th
- Natural comfort42th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Allenbury ParkUrban Plaza39
- GECo ParkCorridor / Linear Park33
- Empress Tot LotUrban Plaza33
- Long Branch ParkWaterfront Park37
- Beaty Avenue ParketteUrban Plaza32
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park75
- Leslie Grove ParkParkette73
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bellevue Square ParkCivic Square73
- Toronto ZooWaterfront Park67
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 Joshua Glover 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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: 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.