
Fairhaven Park
Corridor / Linear Park, middle of the pack overall (score 38, rank ~65th percentile). Strongest: amenity diversity; weakest: edge activation.
No photograph yet. If you have one of Fairhaven Park, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Fairhaven Park scores 38.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (72). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 3.24 ha
What's here
Getting around
430 m of mapped path, 97% paved.
No steps mapped on the path network.
Typically 38 m to the nearest bench, and 111 m at the far end.
Nearest parking 10 m away. None of the 11 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 68%
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.Explain this score
Where did the 38 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
Fairhaven Park works because its amenity diversity score (49) is one of the city's strongest and its connectivity (59) is also above-average (8 distinct amenity types support different kinds of use).
What limits this park
Fairhaven Park is held back by edge activation (0, bottom quartile): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (72).
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (49, top decile).
Jacobs reading
Fairhaven 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 Corridor / Linear Park: shape elongation 2.2× a circle of equal area
Edge Activation
Within 100 m of the park edge: 1 active uses (transit_stop) and 7 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 7 mapped paths/walkways and 17 sidewalk segments within 50 m; 10 street intersections within 100 m; 6 bus stops within a 400 m walk; 8 estimated access points across ~1,435 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. All data sources.
Amenity Diversity
8 distinct amenity types in the park (basketball, fitness, playground, washroom, bench, drinking_water, …). 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: ~5.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 27.5% inside the ravine system; nearest waterbody ~238 m; 23 city-mapped trees inside the polygon (7.1/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
63 buildings within 25 m of the park edge (1 mid-rise, 60 low-rise, 2 tower); avg edge height 6.9 m (~2 floors); 4.4 buildings per 100 m of 1,435 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 2 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 1 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: parking_lot, parking_lot, parking_lot, parking_lot, 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: 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 (8 types · 19 records)
- basketball
- fitness
- playground
- washroom
- bench
- drinking water
- picnic
- pool
Nearby active-edge features (16)
- parking lot10 m
- parking lot15 m
- parking lot24 m
- parking lot25 m
- parking lot26 m
- parking lot49 m
- parking lot63 m
- transit stop: St Georges Boulevard65 m
- parking lot118 m
- transit stop135 m
- transit stop: St Andrews Boulevard137 m
- parking lot153 m
- parking lot171 m
- transit stop: St Andrews Boulevard172 m
- parking lot: Islington Place Parking175 m
- transit stop184 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality65th
- Edge activation16th
- Connectivity75th
- Amenity diversity96th
- Natural comfort70th
- Enclosure38th
Most similar parks
Closest in metric space across the five structural dimensions.
- Keelesdale ParkWaterfront Park36
- Broadlands ParkAthletic / Recreation Park45
- James GardensRavine / Naturalized Park44
- Corktown CommonCivic Square42
- Birch ParkNeighbourhood Park41
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Arnell PlazaCivic Square50
- Market Lane ParkUrban Plaza68
- Toronto Metropolitan University SquareCivic Square60
- Prescott ParketteUrban Plaza51
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 Fairhaven 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.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
- 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.