Lorraine Drive Park
Tower-Community Green Space, middle of the pack overall (score 37, rank ~59th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Lorraine Drive Park scores 36.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 0.12 ha
What's here
Weighted across six dimensions · confidence 65%
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 37 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
Lorraine Drive Park works because its connectivity score (63) is above average and its amenity diversity (21) is also above-average (24 transit stops sit within a 400 m walk).
What limits this park
Lorraine Drive Park is held back by natural comfort (23, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally low natural comfort (23, bottom quartile).
Jacobs reading
Lorraine Drive Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (63) significantly outpaces natural comfort (23): well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (63) but the surrounding streets are quiet (edge activation 0): frame without animation.
- 14 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Typology classification
Classified as Tower-Community Green Space: 14 towers vs 4 mid-rise within 25 m on a 0.1 ha park. Secondary read: Civic Square (tower-walled, low canopy (0%), tight frontage: reads as a civic square).
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 9 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 5 mapped paths/walkways and 8 sidewalk segments within 50 m; 4 street intersections within 100 m; 24 transit stops within a 400 m walk; 3 estimated access points across ~161 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
2 distinct amenity types in the park (playground, bench). 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: 0.0% estimated tree canopy; nearest waterbody ~1207 m. Reading: exposed. 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
Enclosure / Eyes on Park
26 buildings within 25 m of the park edge (4 mid-rise, 8 low-rise, 14 tower); avg edge height 37.8 m (~13 floors); 16.2 buildings per 100 m of 161 m perimeter (strong frontage density); edges lean tall but still framed; 14 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 · 3 records)
- playground
- bench
Nearby active-edge features (77)
- parking lot70 m
- parking lot79 m
- parking lot84 m
- parking lot94 m
- parking lot95 m
- parking lot95 m
- parking lot97 m
- parking lot98 m
- parking lot100 m
- parking lot100 m
- parking lot105 m
- parking lot111 m
- parking lot138 m
- retail: Daisy Nails & Spa145 m
- retail: Hair Tree147 m
- restaurant: Misato Sushi147 m
- restaurant: Kayagum148 m
- cafe: Chatime148 m
- retail: Moha Pet Studio149 m
- retail: Mr. Pen150 m
- retail: NYX E-Cigs Inc.153 m
- retail: Me Spa154 m
- restaurant: Cheers Chicken & Beers156 m
- cafe: Rosey J Cafe157 m
- restaurant: Huh Ga Ne161 m
- cafe: CoCo Fresh Tea & Juice162 m
- transit stop: Yonge St. @ Kempford Blvd.163 m
- retail: Hair Avenue164 m
- transit stop: Yonge Street at Kempford Boulevard164 m
- retail: Joy Mart168 m
- highway: Yonge Street168 m
- restaurant: Subway169 m
- transit stop: Beecroft Road170 m
- parking lot172 m
- highway: Yonge Street173 m
- highway: Yonge Street181 m
- restaurant: Tasty Hut186 m
- retail: Cola Pet186 m
- restaurant: Yu Szechuan Cuisine186 m
- retail: iBAKE187 m
- restaurant: MeNami187 m
- restaurant: Hui Lau Shan188 m
- restaurant: Oh! Bar188 m
- restaurant: Mabu Station189 m
- parking lot189 m
- restaurant: Magic Noodle190 m
- parking lot190 m
- restaurant: Korean Chinese Restaurant191 m
- retail: In Style Hair Salon191 m
- restaurant: Gol’s Lanzhou Noodle191 m
- retail: Jealousy Beauty192 m
- cafe: Gong Cha192 m
- transit stop: Greenview Avenue193 m
- retail: Pegah Books193 m
- highway: Yonge Street193 m
- restaurant: Pojangmacha Food Cart194 m
- restaurant: Jin's Mi-Fen194 m
- retail: Kira Kira Nail and Beauty195 m
- highway: Yonge Street195 m
- cafe: Cafe Bene196 m
- restaurant: My Sushi196 m
- restaurant: Ling BBQ196 m
- restaurant: Hot-Star Fried Chicken197 m
- restaurant: Buk Chang Dong Soon Tofu Korean Restaurant197 m
- restaurant: Lim Ga Ne Korean Restaurant197 m
- retail: Balance Hair and Nail Studio197 m
- cafe: Gong Cha197 m
- restaurant: Yonge Billiard Club198 m
- retail: Lips Boutique by J.K.A.198 m
- retail: Foxy Nail and Spa198 m
- transit stop: Yonge Street - Finch Station199 m
- restaurant: Angus Pho House199 m
- retail: Skin Love Esthetic199 m
- highway: Yonge Street199 m
- retail: TJ Convenience200 m
- retail: Puff n Purr200 m
- retail200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality59th
- Edge activation25th
- Connectivity80th
- Amenity diversity70th
- Natural comfort2th
- Enclosure55th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bellamy ParkParkette29
- Avonshire ParkTower-Community Green Space39
- Port Royal ParkNeighbourhood Park38
- Natal ParkNeighbourhood Park38
- Mccleary ParkOther30
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park75
- Toronto ZooWaterfront Park67
- Mclevin Woods ParkRavine / Naturalized Park49
- Trca Lands ( 26)Ravine / Naturalized Park27
- Shaw ParkParkette69
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 Lorraine Drive 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. 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.