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| Catchment Area Analysis× | Huffov model – Pravdepodobnostný maloobchodný gravitačný model× | |
|---|---|---|
| Odbor≠ | Human Geography | Priestorová analýza |
| Rodina≠ | Process / pipeline | Regression model |
| Rok vzniku | 1964 | 1964 |
| Tvorca≠ | David L. Huff (probabilistic formulation) | David Huff |
| Typ≠ | Delineation of the geographic area served by a facility | Probabilistic spatial interaction model |
| Pôvodný zdroj | Huff, D. L. (1964). Defining and estimating a trading area. Journal of Marketing, 28(3), 34–38. DOI ↗ | Huff, D. L. (1964). Defining and estimating a trading area. Journal of Marketing, 28(3), 34–38. DOI ↗ |
| Ďalšie názvy | Trade Area Analysis, Service Area Delineation, Market Area Analysis, Catchment Delineation | Huff Gravity Model, Probabilistic Retail Gravity Model, Huff Trade Area Model, Huff Çekim Modeli |
| Príbuzné≠ | 4 | 3 |
| Zhrnutie≠ | Catchment area analysis delineates the geographic area that a facility — a shop, hospital, school, or station — actually serves, turning the abstract question of 'who uses this place?' into a mapped polygon. Methods range from the simplest fixed-radius buffer through nearest-facility (Voronoi) tessellation and network drive-time isochrones to David Huff's 1964 probabilistic model, in which patronage is shared among competing facilities by their relative attractiveness and distance. The choice of method reflects how strictly customers are tied to the nearest centre and how much competition and travel cost shape real behaviour. | Proposed by David Huff in 1964, the Huff Model is a probabilistic spatial interaction model that estimates the likelihood that consumers located in a given geographic zone will choose to shop at a particular retail outlet. It extends deterministic gravity models by assigning each consumer zone a probability of patronage across all competing stores, weighting store attractiveness (typically measured by floor area) against the friction of travel time or distance. The model is widely used in retail site selection, trade area delineation, and market share forecasting. |
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