How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic

Ghodsi, Mostafa; Ardestani, Ali; Rasaizadi, Arash; Ghadamgahi, Seyednaser; Yang, Hao

doi:10.3390/su132111995

Cited by 7 publications

(11 citation statements)

References 44 publications

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“…Shopping increased only very little and from a low level. We do not see the estimated share of online shopping of around 13 percent in Austria [39] in our data and other studies found the COVID-19 pandemic to be a driver for online shopping [40,41]. It should, however, be noted that 'shopping' as an activity takes very little time compared to, e.g., sleeping, paid work, domestic work, and leisure.…”

Section: Share Of In Activities Performed At Homecontrasting

confidence: 90%

The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey

et al. 2022

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When activity locations were shut down in the first lockdown to prevent the spread of COVID-19 in Austria, people reduced their trips accordingly. Based on a dataset obtained through a weeklong mobility and activity survey we analyse mobility and time use changes, as well as changes in activity locations and secondary activities. Regression analysis is used to analyse differences in time use changes between socio-demographic groups. We show that trip rates and distances as well as public transport use dropped significantly during the lockdown and did not recover fully in the subsequent opening phase. Former travel time was used for additional leisure, sleep, domestic tasks, and eating in the lockdown, but only the latter two retained their increases in the opening phase. The lockdown resulted in a convergence of time use of socio-demographic groups with formerly different patterns, but the differences reappeared in the opening phase. Our findings are consistent with results from the literature but offer an integrated perspective on mobility and time use not found in either mobility- or time use-focussed studies. We conclude that there is a potential for trip reduction through a shift to virtual performance of activities, but the extent of this shift in post-pandemic times remains unclear.

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Section: Share Of In Activities Performed At Homecontrasting

confidence: 90%

The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey

et al. 2022

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“…The level to which the individual complies with COVID-19-related restrictions, regulations, and instructions. [14,22,29] Subjective Norm…”

Section: Methodsmentioning

confidence: 99%

“…In 1991, Ajzen [14] developed the planned behaviour theory to predict and explain various human behaviours in specific settings and deal with arbitrary complexities of social behaviour. Then, it became the basis for thousands of studies that deal with human behaviour alterations in response to different external stimuli.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Since the COVID-19 pandemic has affected both shopping and travel habits, it is critical to investigate the correlations between the COVID-19 pandemic, shopping behaviour, and travel habits. Ghodsi et al [14] applied ISM and IAHP to identify and evaluate the impact of several (psychometric) variables from transportation experts' perspectives. Following their study, this research intends to explore the impact of the pandemic on online shopping and travel behaviour.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Impact of COVID-19 Pandemic on Online Shopping and Travel Behaviour: A Structural Equation Modelling Approach

et al. 2022

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The outbreak of the COVID-19 pandemic has led to significant alterations in people’s social and economic behaviour. This paper aims to study the pandemic’s influence on online shopping and travel behaviour and discover how these phenomena are related. To this end, eight variables were identified that describe socio-demographic status, COVID-19 variables, online shopping variables, and travel behaviour. The structural equation modelling (SEM) approach was adopted to analyse the relationships between these variables. A conceptual model was formed by devising hypothetical relationships, and then the validity and reliability of the model were evaluated using SEM tools. Among the 19 theoretical relationships, 17 were verified. It was found that socio-demographic status directly affects the COVID-19 variables, influencing online shopping variables. As a result, it was inferred that during the pandemic, people’s daily travel habits had been affected by their inclinations toward online shopping, and the more people are aware of COVID-19 and feel responsible about the pandemic, the more they are persuaded to shop online rather than in-person shopping. Policymakers can use the findings of this study to change the public’s travel and shopping behaviour to tackle the pandemic.

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“…Specifically, the perceived threat of COVID-19 can reduce people's subjective willingness to travel across regions [15]. The impact of this mechanism may be influenced by individual attitudes toward the pandemic and previous experience with infection [16]. Furthermore, according to Luan et al, the COVID-19 pandemic could not only change people's travel patterns, but also significantly affect their willingness to purchase traffic tools and may lead to a decrease in traffic volume [17].…”

Section: Introductionmentioning

confidence: 99%

Spatial Heterogeneity of the Recovery of Road Traffic Volume from the Impact of COVID-19: Evidence from China

et al. 2022

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The impact of COVID-19 on traffic volume makes it essential to study the spatial heterogeneity and impact mechanisms of the recovery of road traffic volume to promote the sustainability of related industries. As the research method, this study used a principal component analysis to evaluate the recovery of road traffic volume in China quantitatively, and further conducted an empirical study using a spatial autocorrelation index and a dynamic spatial panel model. The results show that income has a negative impact on the recovery of road traffic volume, while climate suitability has a positive impact. Economic development and COVID-19 can play moderating and mediating effects, respectively. From the aspect of spatial heterogeneity, the recovery of road traffic volume has a positive spatial spillover effect on the surrounding provinces, while the spread of COVID-19 has a negative short-term indirect spatial spillover effect. Corresponding practical insights are provided for the stakeholders based on the above findings. The results of this study will contribute to the development of effective policies to facilitate the recovery of road traffic volume from the impact of COVID-19 and the revitalization of the transportation industry.

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How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic

Cited by 7 publications

References 44 publications

The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey

The Impacts of a COVID-19 Related Lockdown (and Reopening Phases) on Time Use and Mobility for Activities in Austria—Results from a Multi-Wave Combined Survey

Understanding the Impact of COVID-19 Pandemic on Online Shopping and Travel Behaviour: A Structural Equation Modelling Approach

Spatial Heterogeneity of the Recovery of Road Traffic Volume from the Impact of COVID-19: Evidence from China

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