35 citations · 78 across the 5 of their papers we have counts for
5 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…
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…
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…
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…