Enhancing store layout decision with agent-based simulations of consumers’ density

Eleonora Pantano; Gabriele Pizzi; Eleonora Pantano; Pietro Pantano

doi:10.1016/j.eswa.2021.115231

Enhancing store layout decision with agent-based simulations of consumers’ density

Eleonora Pantano, Gabriele Pizzi, Eleonora Pantano, Pietro Pantano

Research output: Contribution to journal › Article (Academic Journal) › peer-review

16 Citations (Scopus)

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Abstract

Customer concentration inside a store is of pivotal importance for retail management, acquiring controversial contributions about the best number of consumers in the floor space to ensure an enjoyable and pleasant experience. Indeed, the excessive concentration of people (crowd) might discourage from shopping in that location, while on the other hand, a certain traffic to the store generates profit for retailers.

The aim of this paper is to support retailers’ informed decisions by refining our understanding of the extent to which store layouts influences consumer density. To this end, we conduct a large field study using a unique dataset covering customers in a real grocery store with agent-based simulations. Results clearly show the extent to which this kind of simulations help predicting the changes in store layout able to affect customer density in the areas, while ensuring the same number of individuals.

Original language	English
Article number	115231
Number of pages	9
Journal	Expert Systems with Applications
Volume	182
Early online date	21 May 2021
DOIs	https://doi.org/10.1016/j.eswa.2021.115231
Publication status	Published - 15 Nov 2021

Bibliographical note

Publisher Copyright:
© 2021

Research Groups and Themes

MGMT Marketing and Consumption

Keywords

crowd
store layout
consumers' density
retailing
probability density function
agent-based simulation

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10.1016/j.eswa.2021.115231

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0957417421006631 . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 812 KBLicence: CC BY-NC-ND

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title = "Enhancing store layout decision with agent-based simulations of consumers{\textquoteright} density",

abstract = "Customer concentration inside a store is of pivotal importance for retail management, acquiring controversial contributions about the best number of consumers in the floor space to ensure an enjoyable and pleasant experience. Indeed, the excessive concentration of people (crowd) might discourage from shopping in that location, while on the other hand, a certain traffic to the store generates profit for retailers. The aim of this paper is to support retailers{\textquoteright} informed decisions by refining our understanding of the extent to which store layouts influences consumer density. To this end, we conduct a large field study using a unique dataset covering customers in a real grocery store with agent-based simulations. Results clearly show the extent to which this kind of simulations help predicting the changes in store layout able to affect customer density in the areas, while ensuring the same number of individuals.",

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language = "English",

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T1 - Enhancing store layout decision with agent-based simulations of consumers’ density

AU - Pantano, Eleonora

AU - Pizzi, Gabriele

AU - Pantano, Eleonora

AU - Pantano, Pietro

PY - 2021/11/15

Y1 - 2021/11/15

N2 - Customer concentration inside a store is of pivotal importance for retail management, acquiring controversial contributions about the best number of consumers in the floor space to ensure an enjoyable and pleasant experience. Indeed, the excessive concentration of people (crowd) might discourage from shopping in that location, while on the other hand, a certain traffic to the store generates profit for retailers. The aim of this paper is to support retailers’ informed decisions by refining our understanding of the extent to which store layouts influences consumer density. To this end, we conduct a large field study using a unique dataset covering customers in a real grocery store with agent-based simulations. Results clearly show the extent to which this kind of simulations help predicting the changes in store layout able to affect customer density in the areas, while ensuring the same number of individuals.

AB - Customer concentration inside a store is of pivotal importance for retail management, acquiring controversial contributions about the best number of consumers in the floor space to ensure an enjoyable and pleasant experience. Indeed, the excessive concentration of people (crowd) might discourage from shopping in that location, while on the other hand, a certain traffic to the store generates profit for retailers. The aim of this paper is to support retailers’ informed decisions by refining our understanding of the extent to which store layouts influences consumer density. To this end, we conduct a large field study using a unique dataset covering customers in a real grocery store with agent-based simulations. Results clearly show the extent to which this kind of simulations help predicting the changes in store layout able to affect customer density in the areas, while ensuring the same number of individuals.

KW - crowd

KW - store layout

KW - consumers' density

KW - retailing

KW - probability density function

KW - agent-based simulation

U2 - 10.1016/j.eswa.2021.115231

DO - 10.1016/j.eswa.2021.115231

M3 - Article (Academic Journal)

SN - 0957-4174

VL - 182

JO - Expert Systems with Applications

JF - Expert Systems with Applications

M1 - 115231

ER -

Enhancing store layout decision with agent-based simulations of consumers’ density

Abstract

Bibliographical note

Research Groups and Themes

Keywords

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