Retail Centres

@@ -12,7 +12,7 @@ audience: vendor-public
bcsc_class: public-disclosure-safe
language_protocol: PROSE-TOPIC
language: en
last_edited: 2026-08-26
last_edited: 2026-09-04
editor: pointsav-engineering
paired_with: site-selection/retail-centres.es.md
short_description: "Retail Centres (PRO) are neighbourhood commercial centres anchored by grocery, pharmacy, bank, and casual dining — one of three Location Intelligence co-location archetypes, and the base map product for the site-selection dataset."
@@ -37,36 +37,41 @@ Consumer traffic at a Retail Centre is steady and broadly distributed across the

## Tier classification

PRO clusters are graded at three scales. The pipeline groups anchor-category retail locations that fall within a defined span distance, then assigns each group to a tier based on anchor composition.
PRO clusters are graded at four scales — **T1 Regional**, **T2 District**, **T3 Local**, and **T4 Fringe**.

**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. These are the largest centres, drawing from a regional catchment.
A cluster's tier is assigned by predicate gate, not by an accumulated score. Every condition listed for a tier must pass, and a strong reading on one condition does not offset a failure on another. Four condition families apply in combination:

**T2 — District:** A cluster containing a grocery hypermarket and a hardware retailer, with a span no greater than 2.5 km. The district centre serves a defined neighbourhood with a complete everyday-needs mix.
- **Composition** — which of the four anchor classes are present: hypermarket, lifestyle, hardware, and warehouse
- **Catchment rank** — where the cluster's trade-area population and spend rank against other clusters in the same country, drawn from the zones described in [[od-catchment-methodology|the distance-band methodology]]
- **Civic presence** — whether a hospital of the required classification sits within the cluster's civic ring
- **Spatial independence** — for the upper tiers, whether the cluster is substantially overlapped by a stronger cluster in the same country

**T3 — Local:** All remaining anchor pairs that do not qualify for T1 or T2. Smaller local centres with partial anchor composition.
**T1 — Regional:** the largest centres, drawing from a regional catchment. A hypermarket anchor combines with a warehouse or lifestyle anchor; the cluster ranks among the highest in its country by catchment population; a regionally classified hospital is present; and the cluster is spatially independent of stronger neighbours. This is the tightest bar on every condition.

The T1/T2/T3 tier labels used here are shared with the other Location Intelligence archetypes.
**T2 — District:** a district centre serving a defined neighbourhood with a complete everyday-needs mix. A hypermarket anchor combines with a hardware or warehouse anchor; the cluster's catchment and spend ranks sit well above its country's median; and hospital access is present within the civic ring. Every bar is looser than Regional, but each is still a bar.

## Production dataset
**T3 — Local:** a smaller local centre with partial anchor composition. A hardware or warehouse anchor is present, catchment rank reaches at least the country median, and any hospital classification satisfies the civic condition.

Retail Centres (PRO) form the foundation of the site-selection dataset, covering 17 display countries across North America and Europe.
**T4 — Fringe:** clusters that clear none of the higher gates. A Fringe cluster may still show real retail co-tenancy; what it lacks is catchment reach, anchor composition, or civic support at the level a higher tier requires.

| Tier | Clusters | Countries |
|------|----------|-----------|
| T1 | 1,746 | 17 |
| T2 | 2,726 | 17 |
| T3 | 2,021 | 17 |
| **Total** | **6,493** | |
Span still matters, but as a clustering input rather than as the qualification test. Anchor-category retail locations are grouped into one candidate cluster only when they fall within a defined span of each other, so span determines what counts as a single cluster before any gate is tested. It does not, on its own, set the tier. The span conventions are platform parameters, re-tuned between rebuilds as anchor-chain coverage changes, and are not published here.

The T2 span boundary was set to 2.5 km in the most recent rebuild, tightening the district-scale boundary relative to earlier phases. The three-letter archetype codes were ratified on 1 June 2026.
The full gate definitions are maintained in [[catchment-ranking-methodology-v3|the catchment ranking methodology]]; the tier labels themselves are defined in [[co-location-tier-nomenclature|tier nomenclature]]. The T1–T4 tier labels used here are shared with the other Location Intelligence archetypes.

## Coverage

Retail Centres (PRO) form the foundation of the site-selection dataset, covering 17 display countries across North America and Europe. The three-letter archetype codes were ratified on 1 June 2026.

Cluster counts by tier are a moving figure. They change with each rebuild as anchor-chain coverage and the underlying retail footprint change, and tier boundaries are periodically re-tuned in response. Current counts are therefore not restated here.

## Why PRO is the base map

Retail Centres anchor the entire Location Intelligence dataset because grocery-anchored co-location is the most stable and widely distributed commercial pattern. Almost every populated catchment has a grocery anchor; the centre that forms around it is a reliable proxy for residential commercial gravity. The Urban Fringe and Commuter archetypes are defined partly in relation to PRO clusters — Urban Fringe sites are identified by the *absence* of grocery anchors, and Commuter sites reference the nearest T1/T2 Retail Centre as the [[about-regional-markets-system|regional market]] generating their parking demand.
Retail Centres anchor the entire Location Intelligence dataset because grocery-anchored co-location is the most stable and widely distributed commercial pattern. Almost every populated catchment has a grocery anchor; the centre that forms around it is a reliable proxy for residential commercial gravity. The Urban Fringe and Commuter archetypes are defined partly in relation to PRO clusters — Urban Fringe sites are identified by the *absence* of grocery anchors, and Commuter sites reference the nearest T1 or T2 Retail Centre as the [[about-regional-markets-system|regional market]] generating their parking demand.

## See also

- [[location-intelligence-archetypes]] — the full PRO/VWH/PKS co-location archetype overview
- [[catchment-ranking-methodology-v3]] — the tier gate definitions in full

## Data Sources