E-shoppers and multimodal accessibility to in-store retail: An analysis of spatial and social effects

Amidst the growing interest in enhancing the academic understanding of the relationships between e-shopping and transport, a key element remains underexplored – the impact of e-shopping on spatial accessibility to in-store retail. The paper studies variations in multimodal accessibility to in-store...

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Bibliographic Details
Published in:Journal of transport geography 2021-10, Vol.96, p.103198, Article 103198
Main Authors: Mateos-Mínguez, Paloma, Arranz-López, Aldo, Soria-Lara, Julio A., Lanzendorf, Martin
Format: Article
Language:English
Subjects:
Accessibility
Clustering
Clusters
Decay
Internet
Metropolitan areas
Mobility
Online shopping
Public transportation
Shopping
Spatial analysis
Transport
Travel time
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Summary:Amidst the growing interest in enhancing the academic understanding of the relationships between e-shopping and transport, a key element remains underexplored – the impact of e-shopping on spatial accessibility to in-store retail. The paper studies variations in multimodal accessibility to in-store retail between e-shopper groups and the associated spatial effects. The research is based on a face-to-face questionnaire, administered in the city of Alcalá de Henares (Madrid Metropolitan Area, Spain), which provides data on socio-economic characteristics, e-shopping habits, and travel time preferences to reach in-store retail. Clustering techniques serve to identify three e-shopper groups: occasional e-shoppers with a car, infrequent e-shoppers with a car, and frequent e-shoppers without a car. A comparison of e-shopper distance-decay functions to reach in-store retail is made, revealing significant differences between the three e-shopper groups for car and public transport for any time interval. However, for walking such differences are limited to time intervals between 10 and 40 min. Distance-decay functions are processed through a gravity-based model, identifying five categories of multimodal accessibility places that provide information on how in-store retail locations may be affected by e-shopping habits. The paper closes with concluding remarks on policy-making and a few pathways for future research.
ISSN:0966-6923
1873-1236
DOI:10.1016/j.jtrangeo.2021.103198