Understanding Heterogeneity in Intended Frequency of Online Grocery Shopping Across Life Stages and Lifestyle

• Lifestyle characteristics are used to determine latent classes to understand intended online grocery shopping frequency. • Environmental consciousness and social proclivity strongly influence the estimation of latent classes. • Life stage, income, and residential built environment mediate lifestyle impacts on online grocery shopping frequency. • Mixed land use can result in sustainable grocery shopping travel, irrespective of preference for pro-environment lifestyle. Emerging technologies and access to the internet have been gradually shaping daily activities and travel patterns over the last two decades. Pandemic-induced disruption accelerated the adoption of these technologies by normalizing tele-activities other than teleworking, such as online grocery shopping. Understanding the shift in travel patterns with this change is important for multiple reasons: land use planning for sustainable grocery shopping outcomes, travel impact assessment, and resilient supply chain planning. In this paper, we used a stated preference survey dataset to understand (i) how the intended frequency of online grocery shopping varies across people, (ii) how their other day-to-day lifestyle activities influence online grocery shopping frequency, and (iii) what role does their residential built environment play in online grocery shopping frequency. We performed Latent Class Analysis to classify people into different classes based on heterogeneity in their lifestyle, which we defined as a combination of their social proclivity, liking for outdoor activities, technology friendliness, and pro-environment choices. We then modeled the intended frequency of online grocery shopping across the latent classes controlling for residential built environment characteristics, life stage, and socioeconomic characteristics of class members. Our results indicate that lifestyle characteristics, life stage, and residential built environment strongly influence online grocery shopping frequency. In fact, life stage significantly influences online grocery shopping frequency, irrespective of lifestyle characteristics. Further, having mixed land use at the residential location can motivate people to do in-person grocery shopping using active modes even when their lifestyle characteristics are not necessarily aligned with eco-friendly living.

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Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2025-03-12
DOI
https://doi.org/10.1016/j.trip.2025.101382
Citations
1
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
2.07
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article

Understanding Heterogeneity in Intended Frequency of Online Grocery Shopping Across Life Stages and Lifestyle

Anna Henderson, Wesley E. Marshall, Shubhayan Ukil, Aditi Misra
1 citations
Transportation Research Interdisciplinary Perspectives
Consumer Retail Behavior Studies
2.07
article

Understanding Heterogeneity in Intended Frequency of Online Grocery Shopping Across Life Stages and Lifestyle

Anna Henderson, Wesley E. Marshall, Shubhayan Ukil, Aditi Misra
article en
1 citations

Abstract

• Lifestyle characteristics are used to determine latent classes to understand intended online grocery shopping frequency. • Environmental consciousness and social proclivity strongly influence the estimation of latent classes. • Life stage, income, and residential built environment mediate lifestyle impacts on online grocery shopping frequency. • Mixed land use can result in sustainable grocery shopping travel, irrespective of preference for pro-environment lifestyle. Emerging technologies and access to the internet have been gradually shaping daily activities and travel patterns over the last two decades. Pandemic-induced disruption accelerated the adoption of these technologies by normalizing tele-activities other than teleworking, such as online grocery shopping. Understanding the shift in travel patterns with this change is important for multiple reasons: land use planning for sustainable grocery shopping outcomes, travel impact assessment, and resilient supply chain planning. In this paper, we used a stated preference survey dataset to understand (i) how the intended frequency of online grocery shopping varies across people, (ii) how their other day-to-day lifestyle activities influence online grocery shopping frequency, and (iii) what role does their residential built environment play in online grocery shopping frequency. We performed Latent Class Analysis to classify people into different classes based on heterogeneity in their lifestyle, which we defined as a combination of their social proclivity, liking for outdoor activities, technology friendliness, and pro-environment choices. We then modeled the intended frequency of online grocery shopping across the latent classes controlling for residential built environment characteristics, life stage, and socioeconomic characteristics of class members. Our results indicate that lifestyle characteristics, life stage, and residential built environment strongly influence online grocery shopping frequency. In fact, life stage significantly influences online grocery shopping frequency, irrespective of lifestyle characteristics. Further, having mixed land use at the residential location can motivate people to do in-person grocery shopping using active modes even when their lifestyle characteristics are not necessarily aligned with eco-friendly living.

Transportation Research Interdisciplinary PerspectivesVol. 31
University of Denver (US), A. Alfred Taubman Health Care Center (US), University of Colorado Denver (US)
Decent work and economic growth
Openalex Percentile: Top 14%
Consumer Retail Behavior Studies
2.07
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