首页|Exploring in-store and e-shopping against disruptive events: A cross-lagged panel SEM

Exploring in-store and e-shopping against disruptive events: A cross-lagged panel SEM

扫码查看
原文链接
  • NETL
  • NSTL
  • Elsevier
This paper addresses a key gap in the literature by examining the dynamic and bidirectional relationship between in-store and e-shopping frequency during different stages of the COVID-19 pandemic. Previous studies primarily rely on cross-sectional data which fail to capture the temporal evolution and bidirectional nature of these behaviours. To overcome these limitations, this study implements a Random Intercept Cross-lagged Structural Equation Modelling (RI-CLPM) approach using three waves of panel data. Taking Luxembourg as the case study, the paper investigates the modifications in in-store shopping-related travel behaviour by evaluating shifts in trip frequency for three periods: pre-pandemic, post-peak, and relaxed measures phase. The results showed a significant shift in shopping frequency between the pre-pandemic and post-peak phase, evidencing substitution and complementarity effects both on individual as well as group level. Moreover, ANOVA and chi-square tests suggested that age and gender significantly influence in-store shopping frequency for these periods. However, no significant differences in e-shopping and in-store shopping frequencies were observed between the post-peak and the relaxed measures period. These findings provide critical insights for understanding shopping behaviour transitions and offer valuable guidance for transport policymaking. The paper closes by discussing how RI-CLPM models may improve transport policymaking, in the context of future disruptions, considering their potential for: (ⅰ) isolating policy impacts amid individual differences, (ⅱ) addressing stable and dynamic shopping behaviours, and (ⅲ) dealing with longitudinal data that allows for adaptive policy design.

E-shoppingShopping behaviourPanel dataTravel behaviourSubstitutionComplementarity

Raul F. Elizondo-Candanedo、Aldo Arranz-Lopez、Veronique Van Acker、Susan Grant-Muller、Martin Dijst

展开 >

Transport Research Centre -TRANSyT- Universidad Politecnica de Madrid. Calle Profesor Aranguren 3, 28040 Madrid, Spain

Zaragoza Logistics Center (ZLC), Avenida de Ranillas 5, Edificio 5A (EXPO), planta baja, 50018 Zaragoza, Spain||Luxembourg Institute of Socio-Economic Research (USER). Maison des Sciences Humaines. 11, Porte des Sciences, L-4366 Esch-sur-Alzette/Belval, Luxembourg

Luxembourg Institute of Socio-Economic Research (USER). Maison des Sciences Humaines. 11, Porte des Sciences, L-4366 Esch-sur-Alzette/Belval, Luxembourg

Institute for Transport Studies, University of Leeds, 34-40 University Rd, Leeds LS2 9JT, United Kindgdom

Luxembourg Institute of Socio-Economic Research (USER). Maison des Sciences Humaines. 11, Porte des Sciences, L-4366 Esch-sur-Alzette/Belval, Luxembourg||University of Luxembourg, 2 Avenue de l'Universite, L-4365 Esch-sur-Alzette, Luxembourg

展开 >

2025

10.1016/j.tra.2025.104505

Transportation research, Part A. Policy and practice

Transportation research, Part A. Policy and practice

ISSN：0965-8564
年,卷(期)：2025.197(Jul.)
  • 50