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Proceedings of the Institution of Civil Engineers: Urban Design and Planning ; 2023.
Article Dans Anglais | Scopus | ID: covidwho-20243830

Résumé

As Covid-19 vaccination in the U.S. begins and hopes of a gradual return to normalcy are raised after much disruption in the shopping behavior of consumers, there is a need to examine consumers' shopping patterns at different stages of the pandemic to adequately understand the potential impacts on shopping behavior. This study explored the shopping behavior of Florida residents during the early transition phase of the pandemic, using data collected from an online survey from February to April 2021. A comprehensive analysis was conducted examining the shopping patterns in terms of purchase frequency, expenditure, and shopping trip distance as well as individuals' shopping attitudes. Further analysis of the shopping behavior was also carried out to investigate whether and how key demographic variables, including age, income, and gender, might be associated with their shopping patterns and attitudes. The analysis reveals that finding and comparing products were big motivators for using online shopping, while concerns about putting personal information online, shipping costs, and the return process may discourage online shopping. Women spent less than men but had significantly higher purchase frequencies than men. People generally liked shopping without interacting with anyone, which suggests that in-store shopping was not necessarily motivated by the need for social interactions. However, price, safety, and parking availability were the top factors in choosing the stores to shop from. Thus, urban and transportation planners should promote compact, mixed-use development and parking management strategies to reduce vehicle shopping trips and the need for separate trips for different purposes. © 2023 ICE Publishing: All rights reserved.

2.
International Journal of Transportation Science and Technology ; 2023.
Article Dans Anglais | Scopus | ID: covidwho-2284171

Résumé

Research on grocery shopping channel preferences has been growing in the wake of the Covid-19 pandemic. However, few studies have utilized the discrete choice experiment (DCE) to elicit choices in hypothetical scenarios. Moreover, attitudinal factors, which may better explain preference heterogeneity, are rarely considered. Given that the evolution of shopping behavior in the context of the Covid-19 pandemic has huge implications for transportation planning and modeling, this study aims to examine consumers' grocery shopping channel preferences through a DCE that was constructed with three grocery shopping channels (home delivery, curbside pickup, and in-store) and five time–cost attributes (product price, shopping time, delivery time, delivery cost, and travel time). 8,603 responses were elicited from 1,229 Florida residents between February and April 2021. Information on various aspects of respondents' shopping attitudes as well as their socio-demographic and household attributes, grocery shopping activities, and distance to the grocery store were also collected. Using mixed logit modeling for analyses, results indicate that individuals with low education, in low- to middle-income earning households, with three or more household vehicles, and having full access to a vehicle tended to prefer in-store shopping. Also, perceived security risk, pro-alternative mobility options, pro-local store shopping, and shorter distances to grocery stores predisposed individuals toward in-store shopping. Alternatively, females, young and middle-aged individuals, workers, and individuals in large households tended to prefer home delivery and curbside pickup. Technology savviness, pro-environment, pro-online shopping, and shopping enjoyment were also drivers of home delivery and curbside pickup purchases, while cost and time consciousness did not show significant effects. Overall, the findings in this study have implications for retailers, transportation planners, and policymakers. © 2023 Tongji University and Tongji University Press

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