Adoption of delivery services in light of the COVID pandemic: Who and how long?

Wang, Xiaokun Cara; Kim, Woojung; Holguín‐Veras, José; Schmid, Joshua

doi:10.1016/j.tra.2021.10.012

Cited by 56 publications

(31 citation statements)

References 33 publications

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“…They are also more likely to shop online, and the relationship is similar to the pre-COVID-19 period. These results are consistent with Wang et al ( 32 ), who found the association between higher-income households and online shopping during COVID-19 to be positive, and similar to the previous studies based on “normal” conditions before COVID-19.…”

Section: Resultssupporting

confidence: 93%

“…Unlike the pre-pandemic period, our findings suggest that younger people are 2.9% more likely to make shopping trips. However, they are also more likely to shop online, like in the pre-COVID-19 period, which is supported by recent research on COVID-19 and shopping behavior ( 32 ). Our results further indicate that males are 1.4% more likely than females to work from home but 4.6% less likely to shop online during COVID-19—similar to the pre-COVID-19 findings.…”

Section: Resultssupporting

confidence: 56%

“…Overall, while the benefits of WFH for sustainability, flexibility, or reducing commute trips have been explored, the potential for WFH to promote alternate activities, like more online shopping or making shopping trips, is less explored in previous studies. Furthermore, the COVID-19 pandemic may intervene in these relationships, as suggested by the recent literature on COVID-19 and ICT uses ( 30 – 33 ). Therefore, it is necessary to investigate the effects of COVID-19 as well.…”

Section: Literature Reviewmentioning

confidence: 99%

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Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

Patwary

Khattak

2022

Transportation Research Record: Journal of the Transportation R

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The COVID-19 pandemic has highlighted the importance of information and communication technologies (ICTs) in providing virtual engagement. Planners and engineers must determine whether cities will see reductions in travel demand, given the increasing use of ICTs. Notably, ICTs facilitate online shopping and working from home (WFH). Generally, online shopping may lead to fewer shopping trips; similarly, WFH may reduce work-related trips. However, more WFH has the potential to generate other non-work trips, including shopping trips. To find answers and explore interdependencies, this study integrates pre-pandemic behavioral data with during-pandemic travel data. In our framework, WFH and online shopping are considered together. By harnessing the pre-pandemic 2017 National Household Travel Survey data, this study jointly analyzes the relationships between shopping trips, online shopping, and WFH with a conditional mixed process model that can address unobserved endogeneity and selection bias. The results suggest that, before the pandemic, online shopping was associated with fewer in-person shopping trips while WFH was associated with more shopping trips. The role of socio-demographic, locational, and travel-related factors is also explored. The during-pandemic data and analysis capture how COVID-19 affected travel behavior. Results show that the relationships among the key variables found in the pre-pandemic data are similar but differ in magnitude from during the pandemic. WFH increased from 12% to 61% during COVID-19, admittedly an unusual situation. In the next “new normal,” planners may improve travel demand models by treating WFH explicitly as an alternative to traveling to work in the trip generation and time of day models.

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Section: Resultssupporting

confidence: 93%

Section: Resultssupporting

confidence: 56%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

Patwary

Khattak

2022

Transportation Research Record: Journal of the Transportation R

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“…Their estimates of willingness to pay for fresh foods are in line with an increase of 60% during COVID-19. A similar increase was identified by Wang et al, 2021 , who saw the number of people ordering groceries online grow by 113% during the pandemic, though only about 50% would continue to do so afterwards. Almost all studies that consider these choices pre-pandemic tend to simply highlight the importance and sensitivity of cost as opposed to time (e.g., ( Schmid and Axhausen, 2019 , Rossolov et al, 2021 , Marcucci et al, 2021 )).…”

Section: Literature Reviewsupporting

confidence: 70%

In-store or online grocery shopping before and during the COVID-19 pandemic

Meister

Winkler

Schmid

et al. 2023

Travel Behaviour and Society

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“…Meanwhile, 48% reported going to the grocery store less than they did prior to the pandemic, and 26% indicated increasing frequency (Ferrante et al, 2021 ). Adoption of online shopping during the pandemic was negatively associated with age (aged 65+) (Wang et al, 2021 ). Jensen et al ( 2021 ) analyzed online grocery shopping decisions and frequency during and expectations after the pandemic in a survey of 1,558 US households.…”

Section: Literature Reviewmentioning

confidence: 99%

Browsing for food: Will COVID‐induced online grocery delivery persist?

Younes

Noland

Zhang

2022

Regional Science Policy & Practice

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The COVID‐19 pandemic altered daily activities. Many consumers reverted to online grocery shopping and home delivery. We analyze factors associated with the decision to grocery shop online and whether this will persist post‐COVID using data collected via a representative online Qualtrics panel in the State of New Jersey ( N = 1,419). Around half of respondents either decreased in‐person shopping, increased online shopping, or pursued a combination of both. We used factor analysis to decompose attitudes towards the pandemic, finding that attitudinal responses broke down into ‘fearful’, ‘believers’, and ‘deniers’. Binomial regressions were used to analyze patterns of frequency of grocery shopping during the pandemic and changes in behavior during the pandemic. Results suggest that age, gender, ethnicity, educational attainment, having children at home, and attitudes towards COVID‐19 are likely to influence frequency of online and in‐person grocery shopping. Specifically, being 50 years or older is negatively associated with online grocery shopping. Those who deny COVID‐19 were less likely to decrease in‐person grocery shopping. People who had children at home, who had advanced degrees, or who were of Hispanic origin were more likely to increase online shopping and decrease in‐person shopping during the pandemic. While our results suggest that in‐person grocery shopping will return to prepandemic levels, we found that respondents report some increased persistence in online grocery shopping post‐COVID.

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Adoption of delivery services in light of the COVID pandemic: Who and how long?

Cited by 56 publications

References 33 publications

Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

Interaction Between Information and Communication Technologies and Travel Behavior: Using Behavioral Data to Explore Correlates of the COVID-19 Pandemic

In-store or online grocery shopping before and during the COVID-19 pandemic

Browsing for food: Will COVID‐induced online grocery delivery persist?

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