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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 minutes. Distance-decay functions are processed through a gravity-based model, identifying three main multimodal accessibility places: highly resistant places to e-shopping, moderately resistant places, and vulnerable places. Places that are highly resistant to e-shopping are mainly located in the city centre, while vulnerable places are mostly found in the city’s periphery. The paper closes with concluding remarks on policymaking and a few pathways for future research.
Evaluating spatial inequalities using a single walking accessibility measure is quite challenging. In response, the paper proposes combining two accessibility measures (real and potential) to provide additional insights into the identification and mapping of spatial inequalities. The municipality of Getafe in the Madrid Metropolitan Area, Spain serves as a case study. A questionnaire, administered via face-to-face interviews, recorded the resident’s walking preferences for reaching in-store retail. A gravity-based model was used to calculate real and potential accessibilities, which were combined to map four accessibility places that originate spatial inequalities: advantageous, moderately advantageous, moderately disadvantageous, and disadvantageous. The results suggest that potential accessibility values are higher than real accessibility values, and the final map shows the city centre residents (mostly seniors) benefit from the advantageous accessibility places. Disadvantageous places are mainly found in the city’s periphery, where younger people live.