Location intelligence co-location archetypes
docs(site-selection): genericize exact tuning thresholds, validation stats, and internal deployment/schema detail in co-location and location-intelligence pairs (public-repo safety review)
@@ -29,8 +29,8 @@ The three-letter codes were ratified on 1 June 2026. | Code | Name | Anchor type | Status | |------|------|-------------|--------| | **PRO** | Retail Centres | Grocery hypermarket with hardware and at least one of: price club, lifestyle, or electronics | Live — T1/T2/T3 co-location pipeline | | **VWH** | Urban Fringe | Hardware + trade-supply ecosystem (MRO, tool rental, builders merchant, auto parts) | Live — 6,368 clusters (T1=852 / T2=1,327 / T3=4,189) | | **PKS** | Commuter | Regional transit anchor (airport, rail, bus) + park-and-ride + car rental/hotel enrichment | Live — 6,953 clusters (T1=691 / T2=2,658 / T3=3,604) | | **VWH** | Urban Fringe | Hardware + trade-supply ecosystem (MRO, tool rental, builders merchant, auto parts) | Live — production co-location pipeline across three tiers | | **PKS** | Commuter | Regional transit anchor (airport, rail, bus) + park-and-ride + car rental/hotel enrichment | Live — production co-location pipeline across three tiers | PRO is the base map product — the foundation of the site-selection dataset. VWH and PKS are overlay archetypes that identify adjacent market structures @@ -50,25 +50,20 @@ on anchor composition. **T1 — Regional:** A cluster containing a grocery hypermarket and a hardware retailer, plus at least one of a price club, lifestyle retailer, or electronics retailer. Alternatively: four or more anchor-category retailers in a tight cluster (span ≤ 1 km), or three or more anchors in any tight cluster. cluster, or three or more anchors in any tight cluster. **T2 — District:** A cluster containing a grocery hypermarket and a hardware retailer, with a span no greater than 2.5 km. retailer, within a wider district-level span. **T3 — Local:** All remaining anchor pairs that do not qualify for T1 or T2. ### Current dataset (Phase 23 + Change B, 28 May 2026) ### Current dataset | Tier | Clusters | Countries | |------|----------|-----------| | T1 | 1,746 | 17 | | T2 | 2,726 | 17 | | T3 | 2,021 | 17 | | **Total** | **6,493** | | The dataset covers 17 display countries across North America and Europe. The T2 span boundary was set to 2.5 km in the Change B rebuild, tightening the T2 boundary relative to earlier phases. The current production dataset spans thousands of PRO clusters across all three tiers, covering 17 display countries across North America and Europe. Tier boundaries are periodically re-tuned as the underlying retail footprint changes; the T2 district radius has been tightened in successive rebuilds relative to earlier phases. --- @@ -76,15 +71,15 @@ the T2 boundary relative to earlier phases. VWH clusters identify concentrations of hardware and industrial-supply retailers in the absence of grocery anchors. These sites occupy the urban fringe — locations between 5 and 80 km from a major metro centre — and tend to cluster around highway interchanges in areas with adjacent industrial landuse. fringe — a band of distance beyond the immediate metro core but short of standalone-market territory — and tend to cluster around highway interchanges in areas with adjacent industrial landuse. ### Definition A VWH candidate is a location where one or more hardware retailers are present, no grocery hypermarket is within the cluster span, and the site sits within metro-distance 5–80 km. The typical built form is a 3–6 story sits within the Urban Fringe metro-distance band. The typical built form is a multi-storey warehouse or light-manufacturing building, distinct from the one-storey big-box format of the retail park. @@ -97,46 +92,41 @@ and just-in-time logistics tenants — not general retail consumers. | Signal | Rationale | |--------|-----------| | Highway interchange ≤ 2 km | Truck ingress and egress | | Population ≥ 300,000 within 30-minute drive | Manufacturing and logistics labour | | Highway interchange nearby | Truck ingress and egress | | Sufficient population within a short drive | Manufacturing and logistics labour | | Industrial landuse adjacent | Zoning compatibility | **Significant:** | Signal | Rationale | |--------|-----------| | Air cargo airport ≤ 20 km | Electronics and components, rapid replenishment | | Freight rail ≤ 2 km | Just-in-time component delivery | | Transit corridor ≤ 500 m | Workforce access | | Air cargo airport within reach | Electronics and components, rapid replenishment | | Freight rail nearby | Just-in-time component delivery | | Transit corridor nearby | Workforce access | **Disqualifying:** Dense residential immediately adjacent; flood plain; heritage conservation zone; location inside a PRO cluster. ### Production results (11 June 2026) The VWH pipeline is production-grade. Hardware stores (10,338 locations, 45 chains) were profiled as proxy anchors; DBSCAN was run on trade-supply POIs without the hardware anchor (held-out validation); tier rules use group-collapse logic validated at 73.4% hardware co-location on T1+T2 clusters (acceptance threshold: 55%). | Country | Clusters | |---------|---------| | United States | 3,167 | | Germany | 648 | | United Kingdom | 543 | | Canada | 506 | | France | 420 | | Netherlands | 240 | | Italy | 226 | | Poland | 171 | | **Total (17 countries)** | **6,368** | Tier distribution: T1 (Full Trade Hub) = 852 (13.4%), T2 (Established) = 1,327 (20.8%), T3 (Emerging / Thin) = 4,189 (65.8%). T3-heavy distribution is expected: full trade hubs combining MRO, tool rental, builders merchant, and auto parts are legitimately rare. A `retail_contamination` flag marks clusters where a grocery hypermarket lies within 1 km of the centroid (3,048 clusters; 47.9%). These are dual-use commercial parks — valid VWH ### Production status The VWH pipeline is production-grade. Hardware stores were profiled as proxy anchors, and the trade-supply clustering was validated against held-out hardware-anchor data, with an internally set acceptance threshold for cluster quality that the production build clears. The dataset spans thousands of clusters across the 17 display countries, concentrated most heavily in the United States with meaningful coverage across several other North American and European markets. Clusters are distributed across the three tiers in the expected shape: a small minority reach the Full Trade Hub tier, a larger share reach the Established tier, and the majority sit in the Emerging/Thin tier. That T3-heavy distribution is expected — a full trade hub combining MRO, tool rental, builders merchant, and auto parts is a legitimately rare combination. A quality-control flag marks clusters that sit close enough to a grocery hypermarket to be considered dual-use commercial parks — valid VWH co-locations that also include grocery retail. --- @@ -144,17 +134,17 @@ co-locations that also include grocery retail. ## PKS — Commuter PKS clusters identify commercial concentrations near regional airports and intercity train stations that sit in a Commuter belt 15–150 km from a major metro centre. The defining demand pattern is park-and-fly or park-and-train travel: residents of a Regional Market drive to a transit node, park, and travel to the Metro Market. intercity train stations that sit in a Commuter belt beyond the immediate metro core but short of standalone-market distance. The defining demand pattern is park-and-fly or park-and-train travel: residents of a Regional Market drive to a transit node, park, and travel to the Metro Market. ### Definition A PKS candidate is a regional transit node — airport or intercity train station — at metro distance 15–150 km. Nodes within 15 km of the metro centre are classified as suburban rather than regional; nodes beyond 150 km are considered standalone markets with a separate metro relationship. station — within the Commuter metro-distance band. Nodes closer than that band are classified as suburban rather than regional; nodes beyond it are considered standalone markets with a separate metro relationship. The defining commercial signal at a PKS location is car rental. Auto parts, fuel stations, quick-service restaurants, and convenience stores are @@ -166,52 +156,52 @@ secondary signals. | Signal | Rationale | |--------|-----------| | Regional transit anchor ≤ 3 km | Airport or intercity station with direct metro service | | Metro isolation 15–150 km | Defines the regional relationship | | T1 or T2 cluster ≤ 10 km | Same population generates parking demand | | Regional population ≥ 150,000 | Minimum demand for multi-storey parking | | Regional transit anchor nearby | Airport or intercity station with direct metro service | | Metro isolation within the Commuter band | Defines the regional relationship | | PRO T1 or T2 cluster nearby | Same population generates parking demand | | Sufficient regional population | Minimum demand for multi-storey parking | **Significant:** | Signal | Rationale | |--------|-----------| | Car rental ≤ 1 km | Arriving travellers require transport | | Hotel cluster ≤ 500 m | Business travel and multi-day parking | | Second transit mode ≤ 5 km | Multi-modal integration | | Car rental nearby | Arriving travellers require transport | | Hotel cluster nearby | Business travel and multi-day parking | | Second transit mode nearby | Multi-modal integration | **Disqualifying:** Major hub within 15 km; population under 100,000; no direct metro service. **Disqualifying:** Major hub within the immediate metro core; population below a minimum viable threshold; no direct metro service. ### Production results (11 June 2026) ### Production status The PKS pipeline is production-grade. Park-and-ride records (23,117 locations) serve as the primary geographic anchor — actual car→transit transition points distributed independently of rail network geometry. Transit modes are enrichment signals; car rental and hotel presence define commercial maturity. Tier rules use mode-group collapse (intercity_rail + commuter_rail collapse to the RAIL group, preventing artificial bimodality inflation). The PKS pipeline is production-grade. Park-and-ride records serve as the primary geographic anchor — actual car-to-transit transition points distributed independently of rail network geometry. Transit modes are enrichment signals; car rental and hotel presence define commercial maturity. Related transit-mode categories are grouped together before tiering, to prevent related modes from inflating an apparent multi-modal signal. | Tier | Clusters | % | Definition | |------|---------|---|-----------| | T1 (Regional Hub) | 691 | 9.9% | Multi-modal + full commercial ecosystem | | T2 (Transit Interchange) | 2,658 | 38.2% | Transit + at least one commercial signal | | T3 (Transit Node) | 3,604 | 51.9% | Transit present; commercial opportunity | | **Total** | **6,953** | | | Clusters are distributed across three tiers. A Regional Hub tier combines multi-modal access with a full commercial ecosystem. A Transit Interchange tier combines transit with at least one commercial signal. A larger Transit Node tier is where transit is present but commercial opportunity remains to be proven out. Commercial enrichment: car rental chains (hertz-eu, avis-eu, europcar-eu, sixt-eu, and others) and hotel chains (ibis-eu, premier-inn-gb, holiday-inn-express-us, and others) are all ingested and active in the production build. Commercial enrichment draws on major car rental and hotel chains active in each market, ingested and reflected in the production build. ### Major hub filter Airports with a T1 PRO cluster within 5 km are excluded as likely major commercial hubs. Major airports generate their own retail gravity and do not exhibit the park-and-transit pattern. The filter correctly removes LAX, JFK, LHR, and CDG. Airports adjacent to a major PRO retail cluster are excluded as likely major commercial hubs. Major airports generate their own retail gravity and do not exhibit the park-and-transit pattern. The filter correctly removes hubs such as LAX, JFK, LHR, and CDG. ### Future enhancements - Airport passenger volume data (CAPA or IATA) to replace the T1-adjacency hub proxy with a direct traffic-based classifier - Airport passenger volume data (CAPA or IATA) to replace the current adjacency-based hub proxy with a direct traffic-based classifier - Parking operator directory: Q-Park, APCOA, NCP, Indigo/Vinci (EU); SP+ (US) --- @@ -222,10 +212,10 @@ VWH and PKS appear as overlay layers under the **★ Regional Markets** section in the layer control panel. **VWH toggle** — displays orange dots at Urban Fringe candidate locations. When active, cluster bubbles fade to 10% opacity to reduce visual interference. When active, cluster bubbles fade to reduce visual interference. **PKS toggle** — displays teal dots at integrated candidates (T1/T2 cluster within 10 km) and grey dots at standalone candidates. The same 10% bubble **PKS toggle** — displays teal dots at integrated candidates (near a PRO T1/T2 cluster) and grey dots at standalone candidates. The same bubble fade applies. Both layers persist across view transitions — the fade state is maintained