most citedModeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach

81 citations · 201 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 5 cited

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…

cs.LG2020★ 1 cited

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…

physics.soc-ph2020★ 81 cited

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…

cs.CY2020★ 25 cited

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…

cs.CY2020★ 42 cited

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…

stat.AP2020★ 12 cited

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…

cs.CY2020★ 35 cited

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…