Location intelligence co-location archetypes
remove PRO/PKS/VWH internal codes from reader-facing content; fix a pre-existing 3-way Spanish naming inconsistency for the archetypes found while doing so
@@ -13,38 +13,37 @@ bcsc_class: current-fact language_protocol: PROSE-TOPIC last_edited: 2026-09-04 editor: pointsav-engineering short_description: "Three co-location archetypes — Retail Centres (PRO), Urban Fringe (VWH), and Commuter (PKS) — identifying distinct commercial clustering patterns across 17 countries in North America and Europe." short_description: "Three co-location archetypes — Retail Centres, Urban Fringe, and Commuter — identifying distinct commercial clustering patterns across 17 countries in North America and Europe." paired_with: site-selection/location-intelligence-archetypes.es.md --- The Location Intelligence platform identifies retail and commercial gravity through three co-location archetypes: Retail Centres (PRO), Urban Fringe (VWH), and Commuter (PKS). Each archetype describes a distinct clustering pattern that reflects a different type of commercial activity and a different through three co-location archetypes: Retail Centres, Urban Fringe, and Commuter. Each archetype describes a distinct clustering pattern that reflects a different type of commercial activity and a different relationship to the surrounding urban geography. The three-letter codes were ratified on 1 June 2026. ## The three archetypes | Code | Name | Anchor type | Status | |------|------|-------------|--------| | **PRO** | Retail Centres | Predicate-gate composition test — grocery hypermarket plus hardware/warehouse/lifestyle anchor combinations | Live — Regional/District/Local/Fringe tier pipeline | | **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 | | Name | Anchor type | Status | |------|-------------|--------| | Retail Centres | Predicate-gate composition test — grocery hypermarket plus hardware/warehouse/lifestyle anchor combinations | Live — Regional/District/Local/Fringe tier pipeline | | Urban Fringe | Hardware + trade-supply ecosystem (MRO, tool rental, builders merchant, auto parts) | Live — production co-location pipeline across three tiers | | 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 not captured by grocery-anchored clustering. Retail Centres is the base map product — the foundation of the site-selection dataset. Urban Fringe and Commuter are overlay archetypes that identify adjacent market structures not captured by grocery-anchored clustering. --- ## PRO — Retail Centres ## Retail Centres PRO clusters represent grocery-anchored commercial co-locations, assigned to one of four tiers by a predicate-gate test — each tier requires every listed condition to pass, not an additive score against a threshold. The gate definitions are set out in full in the Retail Centres clusters represent grocery-anchored commercial co-locations, assigned to one of four tiers by a predicate-gate test — each tier requires every listed condition to pass, not an additive score against a threshold. The gate definitions are set out in full in the [[catchment-ranking-methodology|catchment ranking methodology]], which is the canonical statement of the tier logic; what follows summarises what distinguishes each tier. @@ -87,24 +86,25 @@ footprint change. --- ## VWH — Urban Fringe ## Urban Fringe VWH clusters identify concentrations of hardware and industrial-supply retailers in the absence of grocery anchors. These sites occupy the urban 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. Urban Fringe clusters identify concentrations of hardware and industrial-supply retailers in the absence of grocery anchors. These sites occupy the urban 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 An Urban Fringe 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 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. VWH locations serve trades contractors, light-manufacturing operators, and just-in-time logistics tenants — not general retail consumers. Urban Fringe locations serve trades contractors, light-manufacturing operators, and just-in-time logistics tenants — not general retail consumers. ### Co-location signals @@ -125,7 +125,7 @@ and just-in-time logistics tenants — not general retail consumers. | Transit corridor nearby | Workforce access | **Disqualifying:** Dense residential immediately adjacent; flood plain; heritage conservation zone; location inside a PRO cluster. heritage conservation zone; location inside a Retail Centres cluster. ### Production status @@ -140,33 +140,34 @@ 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 lower-tier-heavy distribution is expected — a full trade hub combining MRO, tool rental, builders merchant, and auto parts is a legitimately rare combination. Some VWH clusters sit close enough to a grocery hypermarket to function as dual-use commercial parks — valid VWH co-locations that also include grocery retail. Some Urban Fringe clusters sit close enough to a grocery hypermarket to function as dual-use commercial parks — valid Urban Fringe co-locations that also include grocery retail. --- ## PKS — Commuter ## Commuter PKS clusters identify commercial concentrations near regional airports and 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. Commuter clusters identify commercial concentrations near regional airports and 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 A Commuter candidate is a regional transit node — airport or intercity train 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 The defining commercial signal at a Commuter location is car rental. Auto parts, fuel stations, quick-service restaurants, and convenience stores are secondary signals. ### Co-location signals @@ -177,7 +178,7 @@ secondary signals. |--------|-----------| | 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 | | Regional or District Retail Centres cluster nearby | Same population generates parking demand | | Sufficient regional population | Minimum demand for multi-storey parking | **Significant:** @@ -212,10 +213,10 @@ in each market, reflected in the current dataset. ### Major hub filter Airports adjacent to a major PRO retail cluster are excluded as likely major commercial hubs. The largest international airports generate their own retail gravity and do not exhibit the park-and-transit pattern the archetype is built to find; the adjacency filter removes them. Airports adjacent to a major Retail Centres cluster are excluded as likely major commercial hubs. The largest international airports generate their own retail gravity and do not exhibit the park-and-transit pattern the archetype is built to find; the adjacency filter removes them. ### Planned enhancements @@ -230,11 +231,12 @@ The following are planned, not current capability: ## Map integration VWH and PKS are available as overlay layers alongside the core Retail Centres (PRO) view, so a reviewer can see Urban Fringe and Commuter candidates together with the base retail-cluster map. PKS candidates are further distinguished as integrated — near a PRO Tier 1 or Tier 2 cluster — or standalone, consistent with the Commuter definition above. Urban Fringe and Commuter are available as overlay layers alongside the core Retail Centres view, so a reviewer can see Urban Fringe and Commuter candidates together with the base retail-cluster map. Commuter candidates are further distinguished as integrated — near a Regional or District Retail Centres cluster — or standalone, consistent with the Commuter definition above. ## Data Sources @@ -242,11 +244,11 @@ Map and location data © [OpenStreetMap contributors](https://www.openstreetmap. ## See also - [[catchment-ranking-methodology|Catchment Ranking Methodology]] — the canonical statement of the PRO tier gates - [[co-location-methodology|Co-location Methodology]] — the anchor-composition test that drives PRO tier assignment - [[co-location-ranking-system|Co-location Ranking System]] — the five-rank commercial density index that ranks PRO clusters - [[catchment-ranking-methodology|Catchment Ranking Methodology]] — the canonical statement of the Retail Centres tier gates - [[co-location-methodology|Co-location Methodology]] — the anchor-composition test that drives Retail Centres tier assignment - [[co-location-ranking-system|Co-location Ranking System]] — how Retail Centres clusters are ordered within a country - [[retail-brand-family-taxonomy|Retail Brand-Family Taxonomy]] — the anchor classes referenced throughout - [[about-regional-markets-system|Regional Markets Intelligence System]] — the 400-market set built on PRO cluster data - [[atlas-top-400-north-america|Top 400 Regional Markets — North America]] — qualifying set of suburban-regional PRO markets in NA - [[atlas-top-400-europe|Top 400 Regional Markets — Europe]] — qualifying set of suburban-regional PRO markets in EU - [[about-regional-markets-system|Regional Markets Intelligence System]] — the 400-market set built on Retail Centres cluster data - [[atlas-top-400-north-america|Top 400 Regional Markets — North America]] — qualifying set of suburban-regional Retail Centres markets in NA - [[atlas-top-400-europe|Top 400 Regional Markets — Europe]] — qualifying set of suburban-regional Retail Centres markets in EU - [[od-catchment-methodology|Distance-Band Methodology]] — how demand zones are measured around each cluster centroid