Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections
Accurately estimating human mobility and gauging its relationship with virus transmission is
critical for the control of COVID-19 spreading. Using mobile device location data of over 100 …
critical for the control of COVID-19 spreading. Using mobile device location data of over 100 …
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic
During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …
pharmaceutical interventions became a widely adopted strategy to limit physical movements …
Human mobility trends during the early stage of the COVID-19 pandemic in the United States
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 …
public health. This global health crisis imposes limitations on daily movements, which have …
Interactive COVID-19 mobility impact and social distancing analysis platform
The research team has utilized privacy-protected mobile device location data, integrated
with COVID-19 case data and census population data, to produce a COVID-19 impact …
with COVID-19 case data and census population data, to produce a COVID-19 impact …
Are stay-at-home orders more difficult to follow for low-income groups?
In response to the COVID-19 pandemic, a growing number of states, counties and cities in
the United States issued mandatory stay-at-home orders as part of their efforts to slow down …
the United States issued mandatory stay-at-home orders as part of their efforts to slow down …
Mobile device location data reveal human mobility response to state-level stay-at-home orders during the COVID-19 pandemic in the USA
One approach to delaying the spread of the novel coronavirus (COVID-19) is to reduce
human travel by imposing travel restriction policies. Understanding the actual human …
human travel by imposing travel restriction policies. Understanding the actual human …
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: A pedestrian dynamics-based microscopic simulation approach
Mathematical modeling of epidemic spreading has been widely adopted to estimate the
threats of epidemic diseases (ie, the COVID-19 pandemic) as well as to evaluate epidemic …
threats of epidemic diseases (ie, the COVID-19 pandemic) as well as to evaluate epidemic …
Big-data driven framework to estimate vehicle volume based on mobile device location data
Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control,
transportation project prioritization, road maintenance planning, and more. Traditional …
transportation project prioritization, road maintenance planning, and more. Traditional …
Observed mobility behavior data reveal social distancing inertia
The research team has utilized an integrated dataset, consisting of anonymized location
data, COVID-19 case data, and census population information, to study the impact of COVID …
data, COVID-19 case data, and census population information, to study the impact of COVID …
Use of passive data for determining link level long distance trips
Long-distance trips include a high value of time compared to short-distance trips; thus,
capturing long-distance trips contributes to substantial economic and social benefits. This …
capturing long-distance trips contributes to substantial economic and social benefits. This …