203 citations · 429 across the 13 of their papers we have counts for
13 papers
Constructing Evacuation Evolution Patterns and Decisions Using Mobile Device Location Data: A Case Study of Hurricane Irma
Aref Darzi, Vanessa Frias-Martinez, Sepehr Ghader +2
Understanding individuals' behavior during hurricane evacuation is of paramount importance for local, state, and government agencies hoping to be prepared for natural disasters. Co…
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…
How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States
Aliakbar Kabiri, Aref Darzi, Weiyi Zhou +2
The rapid spread of COVID-19 has affected thousands of people from different socio-demographic groups all over the country. A decisive step in preventing or slowing the outbreak is…
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…
COVID-19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages
Qianqian Sun, Weiyi Zhou, Aliakbar Kabiri +4
Mobility interventions in communities play a critical role in containing a pandemic at an early stage. The real-world practice of social distancing can enlighten policymakers and h…
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…
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Yao Xiao, Mofeng Yang, Zheng Zhu +3
Mathematical modeling of epidemic spreading has been widely adopted to estimate the threats of epidemic diseases (i.e., the COVID-19 pandemic) as well as to evaluate epidemic contr…
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…
A Data-Driven Travel Mode Share Estimation Framework based on Mobile Device Location Data
Mofeng Yang, Yixuan Pan, Aref Darzi +3
Mobile device location data (MDLD) contains abundant travel behavior information to support travel demand analysis. Compared to traditional travel surveys, MDLD has larger spatiote…
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…
Quantifying human mobility behavior changes in response to non-pharmaceutical interventions during the COVID-19 outbreak in the United States
Yixuan Pan, Aref Darzi, Aliakbar Kabiri +4
Ever since the first case of the novel coronavirus disease (COVID-19) was confirmed in Wuhan, China, social distancing has been promoted worldwide, including the United States. It…
Observed mobility behavior data reveal social distancing inertia
Sepehr Ghader, Jun Zhao, Minha Lee +3
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-19…