42 citations · 92 across the 10 of their papers we have counts for
5 papers · 1 filter
A Big Data Driven Framework for Duplicate Device Detection from Multi-sourced Mobile Device Location Data
Aliakbar Kabiri, Aref Darzi, Saeed Saleh Namadi +5
Mobile Device Location Data (MDLD) has been popularly utilized in various fields. Yet its large-scale applications are limited because of either biased or insufficient spatial cove…
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…
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…
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…