Esther Lorrie Park
Ravine / Naturalized Park, above average overall (score 43, rank ~85th percentile). Strongest: amenity diversity; weakest: enclosure.
Photo by Bhagavati Motisariya via Google Places · cached 5/9/2026
Esther Lorrie Park scores 42.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 3.55 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Explain this score
Where did the 43 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
Esther Lorrie Park works because its amenity diversity score (21) is in the top tier and its edge activation (25) is also top quartile.
What limits this park
Esther Lorrie Park is held back by enclosure (58, below-average): no mid-rise frontage to provide eyes on the park.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (21, top decile).
Jacobs reading
Esther Lorrie Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- A modest overperformer for its ravine / naturalized park typology (+7 vs the median in medium Ravine / Naturalized Park ravine).
Typology classification
Classified as Ravine / Naturalized Park: 97% ravine overlap, 2% canopy. Secondary read: Neighbourhood Park (3.5 ha, framed by 0 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 3 active uses (transit_stop) 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 3 mapped paths/walkways and 17 sidewalk segments within 50 m; 4 street intersections within 100 m; 11 transit stops within a 400 m walk; 4 estimated access points across ~910 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
2 distinct amenity types in the park (sports_field, washroom). 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: 1.7% estimated tree canopy; 96.5% inside the ravine system; nearest waterbody ~52 m; 7 city-mapped trees inside the polygon (2.0/ha). Reading: ravine-cooled. Source coverage: treed_area, 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
Enclosure / Eyes on Park
107 buildings within 25 m of the park edge (0 mid-rise, 107 low-rise, 0 tower); avg edge height 4.1 m (~1 floors); 11.8 buildings per 100 m of 910 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 (2 types · 2 records)
- sports field
- washroom
Nearby active-edge features (6)
- parking lot0 m
- transit stop: Esther Lorrie Drive47 m
- transit stop: Ixworth Road68 m
- transit stop: Moon Valley Drive97 m
- transit stop: Delsing Drive139 m
- parking lot173 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality85th
- Edge activation85th
- Connectivity61th
- Amenity diversity92th
- Natural comfort55th
- Enclosure28th
Most similar parks
Closest in metric space across the five structural dimensions.
- Greenfield ParkParkette45
- Giltspur ParkNeighbourhood Park44
- Stanley ParkAthletic / Recreation Park44
- Cedargrove ParkNeighbourhood Park43
- Chartland ParkNeighbourhood Park43
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
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
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.
p33 citywide · p41 within Ravine / Naturalized Park
Source: Google Places API · match medium (0.58 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 Esther Lorrie 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.
Data sources
- City of Toronto Open Data: Parks (Green Space)Polygon boundaries, official names, types.
- 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.