Retail co-location methodology

@@ -11,9 +11,9 @@ status: active
audience: customer-woodfine
bcsc_class: current-fact
language_protocol: PROSE-TOPIC
last_edited: 2026-07-11
last_edited: 2026-08-25
editor: pointsav-engineering
short_description: "A deterministic spatial-analysis framework that ranks commercial real-estate nodes by the objective convergence of independent, capital-intensive retail operators — independent corroboration in place of market sentiment."
short_description: "A deterministic spatial-analysis framework that classifies commercial real-estate nodes by the objective convergence of independent, capital-intensive retail operators — independent corroboration in place of market sentiment."
paired_with: site-selection/co-location-methodology.es.md
cites:
  - ni-51-102
@@ -24,74 +24,40 @@ cites:

Retail development capital is usually committed on comparables and analyst sentiment. Whether independent demand actually converges at a site — the reason it should succeed — is assumed rather than measured.

The Woodfine co-location methodology measures it. It ranks development sites by the objective convergence of independent, capital-intensive retail operators, not by market sentiment or analyst forecasts. The framework is operationalised by the [[co-location-ranking-system|deterministic ranking system]] and exposed to platform users via the [[co-location-intelligence-overview|co-location intelligence overview]].
The Woodfine co-location methodology measures it. It classifies development sites by the objective convergence of independent, capital-intensive retail operators, not by market sentiment or analyst forecasts. The framework is operationalised by the [[co-location-ranking-system|deterministic ranking system]] and exposed to platform users via the [[co-location-intelligence-overview|co-location intelligence overview]].

A node qualifies when a hypermarket, a warehouse club, and a home-improvement superstore have each independently committed capital within a defined catchment radius of one another. Each operator runs its own site-selection process; convergence is independent corroboration, not a single forecast. The qualification logic, [[co-location-cluster-formation|cluster formation]], and the [[co-location-anchors|anchor]] adjacency requirement are the three structural inputs to the index.

For a capital allocator the index is a defensive filter: it prioritises the sites where several parties have independently validated the trade area. This article covers the Named-Anchor Model, the three operator tiers, and the five quality tiers; sibling articles describe the [[od-catchment-methodology|O-D catchment methodology]], the [[trade-area-data-sources|trade-area data sources]], and the [[catchment-ranking-methodology-v3|catchment ranking methodology]].
For a capital allocator the index is a defensive filter: it prioritises the sites where several parties have independently validated the trade area. This article covers the anchor taxonomy and the tier system's predicate gates; sibling articles describe the [[od-catchment-methodology|O-D catchment methodology]], the [[trade-area-data-sources|trade-area data sources]], and the [[catchment-ranking-methodology-v3|catchment ranking methodology]].

## The Named-Anchor Model
## Anchor taxonomy

Large-format retailers apply rigorous, data-driven site-selection criteria before committing capital to a market. When several independent operators converge on the same geographic node, that convergence signals a validated commercial corridor — a location where multiple parties have independently confirmed the trade area's strength.

The methodology sorts these operators into three tiers, by commercial function and foot-traffic contribution.
Every cluster forms around a primary anchor from one of four classes. **Hypermarket** anchors are general-merchandise chains — Walmart, Target, Mercadona, Tesco. **Lifestyle** anchors are large-format home retailers; IKEA is the only chain in this class. **Hardware** anchors are home-improvement chains — Home Depot, Lowe's, Leroy Merlin. **Warehouse** anchors are membership clubs — Costco, Sam's Club, Makro. The full chain-to-family mapping is documented in [[retail-brand-family-taxonomy|the retail brand family taxonomy]].

### Primary Targets — the anchor
## Tier classification

The foundational requirement for any evaluated node; the core traffic driver.
Each cluster is assigned one of four tiers — **Regional**, **District**, **Local**, **Fringe** — by clearing a set of predicate gates rather than accumulating a score. The map-facing labels follow the ICSC retail property hierarchy; the full naming history is in [[co-location-tier-nomenclature|tier nomenclature]].

- **North America:** Walmart Supercentre.
- **Europe:** IKEA, as the operational baseline.
| Tier | What it requires |
|---|---|
| **Regional** | A hypermarket paired with a warehouse or lifestyle anchor, top-decile catchment population nationally, and a regional hospital within the civic ring. The highest tier. |
| **District** | A hypermarket paired with hardware or warehouse, top-quartile catchment population, and hospital access within the civic ring. |
| **Local** | A hardware or warehouse anchor, top-half catchment population, and any hospital within the civic ring. |
| **Fringe** | Retail co-tenancy is present, but catchment reach, composition, or civic support falls short of Local. |

### Secondary Targets — commercial support

Complementary large-format operators that validate the trade area's commercial depth. They are evaluated within a defined catchment radius of the Primary Target, tighter than the radius used for institutional support.

- **Secondary-1 (hardware):** Home Depot, Lowe's, Leroy Merlin.
- **Secondary-2 (warehouse club):** Costco, Sam's Club, Makro.

### Tertiary Targets — institutional support

Civic and institutional infrastructure that provides a non-cyclical, stable demographic baseline. Evaluated within a wider catchment radius than the commercial secondaries.

- **Tertiary-A (healthcare):** major hospitals and medical centres.
- **Tertiary-B (higher education):** universities and colleges.

## Quality tiers and site validation

Sites are evaluated on a 12-rank matrix that maps to five quality tiers, separating commodity retail nodes from the rare locations where critical commercial elements converge. The map-facing labels — Regional, District, Local, Fringe — follow the ICSC retail property hierarchy described in [[co-location-tier-nomenclature|tier nomenclature]].

**Correction (2026-08-02):** two defects. (1) The real ICSC shopping-center hierarchy
is Neighborhood/Community/Regional/Super Regional (plus named specialty types) — it
has no "District," "Local," or "Fringe" tier, and only "Regional" is a real ICSC
term. This "follows the ICSC hierarchy" claim is factually wrong. (2) Separately,
this article's own 5-tier matrix cannot be the same system as
[[co-location-tier-nomenclature]]'s 4-label Regional/District/Local/Fringe scheme —
that scheme is assigned by an unrelated predicate-gate mechanism (population
percentile, IoU overlap, civic classification), not this article's Hardware/
Warehouse/Healthcare/Higher-Ed composition matrix. This wiki maintains at least
three unreconciled co-location scoring systems that reuse overlapping tier
vocabulary — this citation conflates two of them. **Flagged, not resolved.**

| Tier | Description | Commercial validation |
|------|-------------|-----------------------|
| ★★★★★ | Tier 5 — Full co-location | All four categories present: hardware, warehouse club, healthcare, higher education |
| ★★★★ | Tier 4 — Strong co-location | Both commercial secondaries plus one tertiary; one institutional dimension absent |
| ★★★ | Tier 3 — Partial co-location | Two categories present: a full secondary pairing, or one secondary with at least one tertiary |
| ★★ | Tier 2 — Limited co-location | One category present: hardware only, or warehouse club with a single tertiary |
| ★ | Tier 1 — Anchor only | Commercial secondaries largely absent: tertiary-only convergence, or warehouse club only |

See [[co-location-ranking-system]] for the complete 12-rank specification, the rank-to-tier mapping, and site counts by tier.
The full gate definitions — composition, catchment rank, civic presence, and spatial non-overlap — are set out in the [[catchment-ranking-methodology-v3|V3 catchment ranking methodology]].

## Strategy and application

The co-location index acts as a defensive filter for capital deployment. By focusing on Tier 4 and Tier 5 nodes, an investor prioritises sites with the highest level of independent capital validation and the strongest multi-format demographic anchors.
The tier system acts as a defensive filter for capital deployment. By prioritising Regional and District nodes, an investor selects sites with the strongest multi-operator capital validation and the deepest catchment population support.

The methodology applies consistently across global markets by mapping regional operators to these canonical anchor classes. Expansion of the tertiary civic dataset — bringing university and hospital coverage in Mexico and Canada to the same maturity as the United States — is a planned target for future iterations. [ni-51-102] [osc-sn-51-721]

The methodology applies consistently across global markets by mapping regional operators to these canonical roles. A planned expansion integrates logistics and transport data to add a fourth dimension to the matrix; that expansion is forward-looking and framed per `[ni-51-102]` and `[osc-sn-51-721]`.
## Data sources

**Correction (2026-08-02):** the matrix already has four non-primary dimensions
(Hardware, Warehouse, Healthcare, Higher Ed) — a planned addition would be a fifth
dimension, not a "fourth." **Flagged, not resolved.**
Anchor and secondary operator locations are sourced from **OpenStreetMap contributors** under the [Open Database Licence (ODbL)](https://opendatacommons.org/licenses/odbl/). Records are filtered by canonical Wikidata brand identifiers to ensure consistent chain-family matching across borders. The full chain-to-family mapping is documented in [[retail-brand-family-taxonomy]]. [osm-odbl]

## See also

@@ -99,10 +65,6 @@ dimension, not a "fourth." **Flagged, not resolved.**
- [[co-location-intelligence-overview]]
- [[co-location-anchors]]

## Data sources

Anchor and secondary operator locations are sourced from **OpenStreetMap contributors** under the [Open Database Licence (ODbL)](https://opendatacommons.org/licenses/odbl/). Records are filtered by canonical Wikidata brand identifiers to ensure consistent chain-family matching across borders. The full chain-to-family mapping is documented in [[retail-brand-family-taxonomy]]. [osm-odbl]

## References

- [Retail park](https://en.wikipedia.org/wiki/Retail_park) — Wikipedia, accessed 2026-06-14