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Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19…

Social and Information Networks · Computer Science 2020-11-03 Yuhao Kang , Song Gao , Yunlei Liang , Mingxiao Li , Jinmeng Rao , Jake Kruse

Modeling and predicting human mobility trajectories in urban areas is an essential task for various applications. The recent availability of large-scale human movement data collected from mobile devices have enabled the development of…

Social and Information Networks · Computer Science 2023-07-10 Takahiro Yabe , Kota Tsubouchi , Toru Shimizu , Yoshihide Sekimoto , Kaoru Sezaki , Esteban Moro , Alex Pentland

Human mobility research concerns spatiotemporal individual and population movement. Accurate modeling and prediction of human mobility can provide opportunities to monitor, manage and optimize human movement for improved social-economic…

Social and Information Networks · Computer Science 2022-02-15 Liantao Li , Yang Yang

In this work we review recent works analyzing mobility data and its application in understanding the epidemic dynamics for the COVID-19 pandemic and more. We also discuss privacy-preserving solutions to analyze the mobility data in order to…

Computers and Society · Computer Science 2021-09-17 Abhishek Singh , Alok Mathur , Alka Asthana , Juliet Maina , Jade Nester , Sai Sri Sathya , Santanu Bhattacharya , Vidya Phalke

In March of this year, COVID-19 was declared a pandemic and it continues to threaten public health. This global health crisis imposes limitations on daily movements, which have deteriorated every sector in our society. Understanding public…

Physics and Society · Physics 2021-01-27 Minha Lee , Jun Zhao , Qianqian Sun , Yixuan Pan , Weiyi Zhou , Chenfeng Xiong , Lei Zhang

The changing nature of the COVID-19 pandemic has highlighted the importance of comprehensively considering its impacts and considering changes over time. Most COVID-19 related research addresses narrowly focused research questions and is…

One approach to delay the spread of the novel coronavirus (COVID-19) is to reduce human travel by imposing travel restriction policies. It is yet unclear how effective those policies are on suppressing the mobility trend due to the lack of…

Applications · Statistics 2020-05-06 Chenfeng Xiong , Songhua Hu , Mofeng Yang , Hannah N Younes , Weiyu Luo , Sepehr Ghader , Lei Zhang

The study of human mobility patterns is a crucially important research field for its impact on several socio-economic aspects and, in particular, the measure of regularity patters of human mobility can provide a across-the-board view of…

Physics and Society · Physics 2021-04-20 Fabio Vanni , David Lambert

The COVID-19 pandemic is an unprecedented global crisis that has impacted virtually everyone. We conducted a nationwide online longitudinal survey in the United States to collect information about the shifts in travel-related behavior and…

The COVID-19 pandemic has impacted billions of people around the world. To capture some of these impacts in the United States, we are conducting a nationwide longitudinal survey collecting information about activity and travel-related…

COVID-19 has been affecting every aspect of societal life including human mobility since December, 2019. In this paper, we study the impact of COVID-19 on human mobility patterns at the state level within the United States. From the…

Social and Information Networks · Computer Science 2020-12-08 Songhe Wang , Kangda Wei , Lei Lin , Weizi Li

People mobility data sets played a role during the COVID-19 pandemic in assessing the impact of lockdown measures and correlating mobility with pandemic trends. Two global data sets were Apple's Mobility Trends Reports and Google's…

Applications · Statistics 2022-10-19 Francesco Finazzi

The worldwide outbreak of COVID-19 has posed a dire threat to the public. Human mobility has changed in various ways over the course of the pandemic. Despite current studies on common mobility metrics, research specifically on…

Physics and Society · Physics 2020-07-08 Weiyi Zhou , Minha Lee , Qianqian Sun , Weiyu Luo , Chenfeng Xiong , Lei Zhang

The description of complex human mobility patterns is at the core of many important applications ranging from urbanism and transportation to epidemics containment. Data about collective human movements, once scarce, has become widely…

Physics and Society · Physics 2022-11-21 Riccardo Gallotti , Davide Maniscalco , Marc Barthelemy , Manlio De Domenico

The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor recreation, confusing and contradictory public health messaging…

In response to the COVID-19 pandemic, both voluntary changes in behavior and administrative restrictions on human interactions have occurred. These actions are intended to reduce the transmission rate of the severe acute respiratory…

Social and Information Networks · Computer Science 2020-04-01 Michael S. Warren , Samuel W. Skillman

We examined the effect of social distancing on changes in visits to urban hotspot points of interest. Urban hotspots, such as central business districts, are gravity activity centers orchestrating movement and mobility patterns in cities.…

Physics and Society · Physics 2020-06-29 Qingchun Li , Liam Bessell , Xin Xiao , Chao Fan , Xinyu Gao , Ali Mostafavi

Human mobility regularity is crucial for understanding urban dynamics and informing decision-making processes. This study first quantifies the periodicity in complex human mobility data as a sparse identification of dominant positive…

Social and Information Networks · Computer Science 2025-09-15 Xinyu Chen , Qi Wang , Yunhan Zheng , Nina Cao , HanQin Cai , Jinhua Zhao

With the onset of COVID-19 and the resulting shelter in place guidelines combined with remote working practices, human mobility in 2020 has been dramatically impacted. Existing studies typically examine whether mobility in specific…

Machine Learning · Computer Science 2022-01-19 Justin Elarde , Joon-Seok Kim , Hamdi Kavak , Andreas Züfle , Taylor Anderson

The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility is at the epicenter of that change, as the greatest facilitator for the spread of the virus. To study the change in mobility, to evaluate…

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