The disturbance of urban mobility in the context of COVID-19 pandemic

You, Geonhwa

doi:10.1016/j.cities.2022.103821

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…The DMI captures segregated mobility by measuring the average level of sociodemographic dissimilarity present in a mobility network. Earlier work explored how mobility networks changed in the initial phases of the COVID-19 pandemic (Huang et al 2020;Marlow et al 2021;Toger et al 2021;You 2022), but here we show for the first time how mobility networks continued to evolve in 2021 and 2022. In particular, mobility hubs, such as downtown business districts, returned to their prepandemic prominence as popular destinations in 2021 but declined again in 2022.…”

Section: Original Articlementioning

confidence: 57%

“…In 2020, the COVID-19 pandemic had many consequential societal impacts (Furceri et al 2022; Johnson, Joyce, and Platt 2021). Among them, researchers documented a massive disruption in daily movement throughout American cities (Gao et al 2020; Huang et al 2022; Toger et al 2021; You 2022). The disruption in mobility meant not only a decline in total movement as a result of lockdowns and stay-at-home orders but also structural changes to mobility networks (Marlow, Makovi, and Abrahao 2021).…”

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confidence: 99%

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Durable Change in U.S. Urban Mobility Networks, 2019–2022

Marlow,

Makovi,

Abrahao

2023

Socius: Sociological Research for a Dynamic World

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In 2020, the COVID-19 pandemic significantly altered how people move between neighborhoods. Tracking these changes is important because a growing literature demonstrates that mobility networks influence social and environmental exposures that interact directly with urban inequalities. Using four years of weekly smartphone-based mobility data in the 25 largest U.S. cities, we investigate how mobility changed in 2021 and 2022. We measure mobility networks with three previously used indices and introduce a fourth, the Dissimilar Mobility Index, to capture the demographic dissimilarity experienced in a mobility network. We find that although mobility hubs and their associated patterns of segregated mobility returned to pre-pandemic levels in 2021, neighborhood isolation remained depressed until the end of 2022 compared to 2019. Together, these results indicate that despite vaccine availability in 2021, structural changes in urban mobility networks caused by the COVID-19 pandemic were durable for over two years after its onset.

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Section: Original Articlementioning

confidence: 57%

mentioning

confidence: 99%

Durable Change in U.S. Urban Mobility Networks, 2019–2022

Marlow,

Makovi,

Abrahao

2023

Socius: Sociological Research for a Dynamic World

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“…To the contrary, the heterogeneity and non-mobility of housing, as well as the local character of residential markets are factors supporting price divergence. The pandemic signi cantly reduced the mobility of the population (You, 2022), which supports the intensi cation of price divergence in the housing market.…”

Section: Introductionmentioning

confidence: 81%

The COVID-19 pandemic and house price convergence in Poland

Tomal

2023

Preprint

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The effect of the COVID-19 pandemic on price convergence in the housing market is largely unknown. This paper aims to assess the impact of the pandemic on the convergence of sales and rental housing prices. The residential markets in Polish voivodeship capitals were chosen as a case study. The convergence evaluation was based on a local linear version of the log t regression test, which allowed the estimation of a time-varying convergence speed parameter. The causal effect of the pandemic on convergence was examined using a Bayesian structural time series model. The study results revealed that the pandemic led to divergence in the primary sales housing market, growth convergence in the secondary sales housing market, and to a weakening of growth convergence in the rental housing market. Finally, this paper provides the R function logt that enables the running of the local linear and dummy variable log t regression tests. JEL Codes: R20, R31, O47.

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“…In general, most of the existing articles focus on large-scale epidemics, attributing the spread of infectious diseases mainly to population mobility and attributing the stagnation of human activities mainly to policy interventions and group cognition. Focusing on the first-round global pandemic in 2020, they access the potential risk and scope of transmission from travel [ 28 ], and intuitively demonstrate a significant negative relationship between the severity of COVID-19 and mobility [ 29 , 30 , 31 , 32 ]. However, with the gradual receding of COVID-19 pandemic, studies focusing on small-scale epidemics are relatively insufficient, and comparative studies on the relationship between localized epidemics, nonpharmaceutical interventions, and mobility are lacking.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Localized COVID-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China

Xie

Chen

Tang

2022

IJERPH

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Uncontrolled, large-scale human mobility can amplify a localized disease into a pandemic. Tracking changes in human travel behavior, exploring the relationship between epidemic events and intercity travel generation and attraction under policies will contribute to epidemic prevention efforts, as well as deepen understanding of the essential changes of intercity interactions in the post-epidemic era. To explore the dynamic impact of small-scale localized epidemic events and related policies on intercity travel, a spatial lag model and improved gravity models are developed by using intercity travel data. Taking the localized COVID-19 epidemic in Xi’an, China as an example, the study constructs the travel interaction characterization before or after the pandemic as well as under constraints of regular epidemic prevention policies, whereby significant impacts of epidemic events are explored. Moreover, indexes of the quantified policies are refined to the city level in China to analyze their effects on travel volumes. We highlight the non-negligible impacts of city events and related policies on intercity interaction, which can serve as a reference for travel management in case of such severe events.

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The disturbance of urban mobility in the context of COVID-19 pandemic

Cited by 10 publications

References 15 publications

Durable Change in U.S. Urban Mobility Networks, 2019–2022

Durable Change in U.S. Urban Mobility Networks, 2019–2022

The COVID-19 pandemic and house price convergence in Poland

Exploring the Impact of Localized COVID-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China

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