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A Stochastic Model of Supermarket Traffic Flow

Author

Listed:
  • John U. Farley

    (Carnegie Institute of Technology, Pittsburgh, Pennsylvania)

  • L. Winston Ring

    (Carnegie Institute of Technology, Pittsburgh, Pennsylvania)

Abstract

A model is developed to predict area-to-area transition probabilities for traffic in supermarkets. The independent variables involve physical measures of store layout and transaction volumes at various locations. The model is fitted to data on traffic patterns in five Pittsburgh stores. The results indicate that the model is useful for traffic analysis both in a given store and for analysis of hypothetical store layouts.

Suggested Citation

  • John U. Farley & L. Winston Ring, 1966. "A Stochastic Model of Supermarket Traffic Flow," Operations Research, INFORMS, vol. 14(4), pages 555-567, August.
  • Handle: RePEc:inm:oropre:v:14:y:1966:i:4:p:555-567
    DOI: 10.1287/opre.14.4.555
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    Cited by:

    1. Page, Bill & Sharp, Anne & Lockshin, Larry & Sorensen, Herb, 2018. "Parents and children in supermarkets: Incidence and influence," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 31-39.
    2. Sam Hui & Eric Bradlow, 2012. "Bayesian multi-resolution spatial analysis with applications to marketing," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 419-452, December.
    3. Ostermeier, Manuel & Düsterhöft, Tobias & Hübner, Alexander, 2021. "A model and solution approach for store-wide shelf space allocation," Omega, Elsevier, vol. 102(C).
    4. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "Path Data in Marketing: An Integrative Framework and Prospectus for Model Building," Marketing Science, INFORMS, vol. 28(2), pages 320-335, 03-04.
    5. Page, Bill & Trinh, Giang & Bogomolova, Svetlana, 2019. "Comparing two supermarket layouts: The effect of a middle aisle on basket size, spend, trip duration and endcap use," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 49-56.
    6. Yicheng Song & Nachiketa Sahoo & Shuba Srinivasan & Chrysanthos Dellarocas, 2022. "Uncovering Characteristic Response Paths of a Population," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1661-1680, May.
    7. Sorensen, Herb & Bogomolova, Svetlana & Anderson, Katherine & Trinh, Giang & Sharp, Anne & Kennedy, Rachel & Page, Bill & Wright, Malcolm, 2017. "Fundamental patterns of in-store shopper behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 182-194.

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