Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population

Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population

This study integrates customer loyalty program data with a synthetic population to analyze grocery shopping behaviours in Montreal. Using clustering algorithms, we classify 295,631 loyalty program members into seven distinct consumer segments based on behavioural and sociodemographic attributes. The...

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Bibliographic Details
Main Authors: Duo Zhang, Laurette Dubé, Antonia Gieschen, Catherine Paquet, Raja Sengupta
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
customer shopping behaviour
food retailing
spatial segmentation
customer typology
agent-based model
Online Access:https://www.mdpi.com/2220-9964/14/4/159
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