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E-shoppers and multimodal accessibility to in-store retail: An analysis of spatial and social effects
Journal of Transport Geography ( IF 5.899 ) Pub Date : 2021-09-17 , DOI: 10.1016/j.jtrangeo.2021.103198
Paloma Mateos-Mínguez 1 , Aldo Arranz-López 2 , Julio A. Soria-Lara 1, 3 , Martin Lanzendorf 2
Affiliation  

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.



中文翻译:

电子购物者和店内零售的多模式可达性:空间和社会效应分析

在提高对电子购物和交通之间关系的学术理解的兴趣日益浓厚的同时,一个关键因素仍未得到充分探索——电子购物对店内零售的空间可达性的影响。该论文研究了电子购物者群体之间店内零售的多模式可访问性的变化以及相关的空间效应。该研究基于在阿尔卡拉德埃纳雷斯市(西班牙马德里都市区)进行的面对面问卷调查,该问卷提供了有关社会经济特征、电子购物习惯和出行时间偏好的数据。 -商店零售。聚类技术用于识别三个电子购物者群体:偶尔有车的电子购物者、很少有车的电子购物者和没有车的频繁电子购物者。对电子购物者到达店内零售的距离衰减函数进行了比较,揭示了汽车和公共交通的三个电子购物者组在任何时间间隔内的显着差异。但是,对于步行,这种差异仅限于 10 到 40 分钟之间的时间间隔。距离衰减函数通过基于重力的模型进行处理,确定五类多模式无障碍场所,提供有关店内零售地点如何受电子购物习惯影响的信息。本文以关于政策制定的总结性评论和未来研究的一些途径结束。对于步行,这种差异仅限于 10 到 40 分钟之间的时间间隔。距离衰减函数通过基于重力的模型进行处理,确定五类多模式无障碍场所,提供有关店内零售地点如何受电子购物习惯影响的信息。本文以关于政策制定的总结性评论和未来研究的一些途径结束。对于步行,这种差异仅限于 10 到 40 分钟之间的时间间隔。距离衰减函数通过基于重力的模型进行处理,确定五类多模式无障碍场所,提供有关店内零售地点如何受电子购物习惯影响的信息。本文以关于政策制定的总结性评论和未来研究的一些途径结束。

更新日期:2021-09-19
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