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

作者：

Highlights：

• Customer concentration inside a store is of pivotal importance for retail management.

• We conduct a large field study covering customers in a real grocery store with agent-based simulations.

• Agent-based simulations allow predicting the changes in store layout able to affect customer density.

摘要

•Customer concentration inside a store is of pivotal importance for retail management.•We conduct a large field study covering customers in a real grocery store with agent-based simulations.•Agent-based simulations allow predicting the changes in store layout able to affect customer density.

论文关键词：Crowd,Store layout,Consumers’ density,Retailing,Probability Density Function,Agent-based simulation

论文评审过程：Received 28 January 2021, Revised 19 April 2021, Accepted 16 May 2021, Available online 21 May 2021, Version of Record 25 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115231