25 citations · 55 across the 6 of their papers we have counts for
7 papers
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data
Chenfeng Xiong, Aref Darzi, Yixuan Pan +2
While benefiting people's daily life in so many ways, smartphones and their location-based services are generating massive mobile device location data that has great potential to h…
An Interstate Trips Analysis during COVID-19 in the United States
Weiyi Zhou, Minha Lee, Qianqian Sun +3
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 com…
Quantifying the influence of inter-county mobility patterns on the COVID-19 outbreak in the United States
Qianqian Sun, Yixuan Pan, Weiyi Zhou +2
As a highly infectious respiratory disease, COVID-19 has become a pandemic that threatens global health. Without an effective treatment, non-pharmaceutical interventions, such as t…
Quarantine Fatigue: first-ever decrease in social distancing measures after the COVID-19 outbreak before reopening United States
Jun Zhao, Minha Lee, Sepehr Ghader +4
By the emergence of the novel coronavirus disease (COVID-19) in Wuhan, China, and its rapid outbreak worldwide, the infectious illness has changed our everyday travel patterns. In…
Human Mobility Trends during the COVID-19 Pandemic in the United States
Minha Lee, Jun Zhao, Qianqian Sun +4
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 det…
Data-Driven Modeling Reveals the Impact of Stay-at-Home Orders on Human Mobility during the COVID-19 Pandemic in the U.S
Chenfeng Xiong, Songhua Hu, Mofeng Yang +4
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 polici…