Lesson plan

Huff model

In spatial analysis, the Huff model is a widely used tool for predicting the probability of a consumer visiting a site, as a function of the distance of the site, its attractiveness, and the relative attractiveness of alternatives. It was formulated by David Huff in 1963. It is used in marketing, economics, retail research and urban planning, and is implemented in several commercially available GIS systems. Its relative ease of use and applicability to a wide range of problems contribute to its enduring appeal. The formula is given as: P_{ij}= \frac{A_j^\alpha D_{ij}^{- \beta}} {\sum_{k=1}^{n}A_k^{\alpha} D_{ik}^{- \beta}} where : * A_j is a measure of the attractiveness of store j * D_{ij} is the distance from the consumer's location, i, to store j. * \alpha is an attractiveness parameter * \beta is a distance decay parameter * n is the total number of stores, including store j

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Article summary

In spatial analysis, the Huff model is a widely used tool for predicting the probability of a consumer visiting a site, as a function of the distance of the site, its attractiveness, and the relative attractiveness of alternatives. It was formulated by David Huff in 1963. It is used in marketing, economics, retail research and urban planning, and is implemented in several commercially available GIS systems. Its relative ease of use and applicability to a wide range of problems contribute to its enduring appeal. The formula is given as: P_{ij}= \frac{A_j^\alpha D_{ij}^{- \beta}} {\sum_{k=1}^{n}A_k^{\alpha} D_{ik}^{- \beta}} where : * A_j is a measure of the attractiveness of store j * D_{ij} is the distance from the consumer's location, i, to store j. * \alpha is an attractiveness parameter * \beta is a distance decay parameter * n is the total number of stores, including store j

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Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  3. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

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Key claims and bibliography are generated from the same tracked claims and sources as the article page.