Adoption And Use Of E Grocery Shopping In The Context Of The Covid 19 Pandemic

The goal of this work, then, is to 1) explore the drivers of adoption and use of e-grocery services in the context of the COVID-19 pandemic and 2) estimate "stickiness" of online grocery ordering behaviors. Survey data (N=2,266) capturing household and individual information on demographics, attitudes, and behaviors are employed in carrying out this goal. First, individual e-grocery delivery adoption is explored using a series of mixed logit models disaggregated by household income. Demographics, COVID-19 related variables, and attitudinal indicators hold significant explanatory power in estimating the probabilities individuals will fall into non-adopter, pre-pandemic adopter, or during-pandemic adopter categories. Next, relationships between in-store and online grocery shopping trip rates are investigated utilizing random parameters Tobit and hurdle models. Finally, whether or not households will retain (or increase) their already elevated e-grocery shopping behavior is examined.