Leslie Lookout Park
Waterfront Park, below average overall (score 27, rank ~18th percentile). Strongest: amenity diversity; weakest: enclosure.
No photograph yet. If you have one of Leslie Lookout Park, we would like to use it.
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Leslie Lookout Park scores 26.9 / 100. Strongest dimensions: enclosure / eyes on park and amenity diversity. 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 · 0.80 ha
What's here
Getting around
373 m of mapped path, 100% paved.
1 flight of steps on the mapped network.
Not enough mapped seating to assess (4 benches mapped).
Nearest parking 95 m away. None of the 2 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 60%
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 27 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
Leslie Lookout Park works because its amenity diversity score (33) is in the top tier.
What limits this park
Leslie Lookout Park is held back by enclosure (35, bottom quartile): no mid-rise frontage to provide eyes on the park.
Most distinctive characteristic
Most distinctive feature: exceptionally low enclosure (35, bottom quartile).
Jacobs reading
Leslie Lookout Park is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Typology classification
Classified as Waterfront Park: nearest waterbody within ~59 m
Edge Activation
Within 100 m of the park edge: 0 active uses (none) 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: 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 1 mapped paths/walkways and 0 sidewalk segments within 50 m; 0 street intersections within 100 m; 4 bus stops within a 400 m walk; 0 estimated access points across ~452 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.
Amenity Diversity
4 distinct amenity types in the park (bench, drinking_water, garden, picnic). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~59 m. Reading: water-cooled. Source coverage: waterbodies. 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
5 buildings within 25 m of the park edge (0 mid-rise, 5 low-rise, 0 tower); avg edge height 5.0 m (~2 floors); 1.1 buildings per 100 m of 452 m perimeter (thin frontage with significant blank-edge share); 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). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 (4 types · 11 records)
- bench
- drinking water
- garden
- picnic
Nearby active-edge features (3)
- parking lot95 m
- restaurant: Hot Dog Stand151 m
- parking lot193 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality18th
- Edge activation31th
- Connectivity8th
- Amenity diversity86th
- Natural comfort14th
- Enclosure6th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceWaterfront Park30
- Joseph Aaron ParkAthletic / Recreation Park25
- James Edward ParkOther27
- Burnhamdale ParkAthletic / Recreation Park24
- Forest GlenRavine / Naturalized Park25
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park76
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Leslie Grove ParkParkette73
- Nordheimer RavineRavine / Naturalized Park61
- Bellevue Square ParkCivic Square73
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 Leslie Lookout 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
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.