
Remberto Navia Sport Fields
Neighbourhood Park, middle of the pack overall (score 33, rank ~43th percentile). Strongest: connectivity; weakest: enclosure.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Remberto Navia Sport Fields scores 32.8 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 7.80 ha
What's here
Weighted across six dimensions · confidence 72%
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 33 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
Remberto Navia Sport Fields works because its connectivity score (59) is above average and its amenity diversity (20) is also above-average (22 transit stops sit within a 400 m walk).
What limits this park
Remberto Navia Sport Fields is held back by enclosure (52, bottom quartile); border-vacuum risk is also elevated (36).
Most distinctive characteristic
Most distinctive feature: exceptionally low enclosure (52, bottom quartile).
Jacobs reading
Remberto Navia Sport Fields is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: large Neighbourhood Park).
- Citywide rank is high (43rd) but typology rank is more modest (21st): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Neighbourhood Park: 7.8 ha, framed by 2 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 1 active uses (transit_stop) and 12 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 3 mapped paths/walkways and 26 sidewalk segments within 50 m; 5 street intersections within 100 m; 22 transit stops within a 400 m walk; 4 estimated access points across ~1,516 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, other_sport). 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: ~2.5% effective canopy (0.6% from contiguous tree polygons + scattered tree density); nearest waterbody ~912 m; 28 city-mapped trees inside the polygon (3.6/ha). Reading: exposed. Source coverage: treed_area, 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
50 buildings within 25 m of the park edge (2 mid-rise, 48 low-rise, 0 tower); avg edge height 4.0 m (~1 floors); 3.3 buildings per 100 m of 1,516 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 2 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, 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 · 8 records)
- sports field
- other sport
Nearby active-edge features (65)
- parking lot0 m
- parking lot13 m
- parking lot36 m
- rail51 m
- rail53 m
- rail57 m
- parking lot65 m
- parking lot66 m
- parking lot66 m
- rail73 m
- parking lot84 m
- transit stop85 m
- rail97 m
- parking lot104 m
- rail104 m
- transit stop104 m
- transit stop106 m
- rail108 m
- rail108 m
- restaurant: Western Bar and Grill108 m
- rail110 m
- rail116 m
- parking lot120 m
- parking lot123 m
- rail124 m
- parking lot125 m
- parking lot128 m
- rail133 m
- parking lot136 m
- rail136 m
- rail141 m
- parking lot141 m
- parking lot143 m
- retail: Optical Valu145 m
- parking lot146 m
- parking lot149 m
- rail149 m
- rail151 m
- retail: Expert Tailoring153 m
- retail: Koodo153 m
- rail154 m
- retail: Fido154 m
- parking lot155 m
- retail: Si Vous Play Sports156 m
- parking lot156 m
- retail: Cellular Point157 m
- parking lot157 m
- parking lot161 m
- retail: Dollarama167 m
- community: The Spot168 m
- parking lot171 m
- parking lot172 m
- restaurant: China Wok174 m
- restaurant: Caribbean Cuisine175 m
- retail: Gateway Newstands177 m
- parking lot178 m
- restaurant: El Greeko178 m
- retail: Spectrum Electronics179 m
- parking lot181 m
- parking lot181 m
- parking lot181 m
- restaurant: Tastee184 m
- restaurant: Top Food189 m
- parking lot192 m
- retail: Ziwa Cell Phones & Computers197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality43th
- Edge activation27th
- Connectivity75th
- Amenity diversity67th
- Natural comfort27th
- Enclosure24th
Most similar parks
Closest in metric space across the five structural dimensions.
- Chester Le ParkNeighbourhood Park35
- CHESTER LE JUNIOR ELEMENTARY SCHOOL - Building GroundsNeighbourhood Park35
- Farquharson ParkNeighbourhood Park38
- Dorset ParkNeighbourhood Park37
- THE ELMS POOL AND COMMUNITY SCHOOL - Building GroundsNeighbourhood Park35
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette73
- Kew GardensNeighbourhood Park75
- Shaw ParkParkette69
- Bellevue Square ParkCivic Square73
- Market Lane ParkUrban Plaza67
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 Remberto Navia Sport Fieldsmatters. 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.
- 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: 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.