42 citations · 92 across the 10 of their papers we have counts for
10 papers
Using Geographically Weighted Models to Explore Temporal and Spatial Varying Impacts on Commute Trip Change Due to Covid-19
Saeed Saleh Namadi, Behnam Tahmasbi, Asal Mehditabrizi +2
COVID-19 has deeply affected daily life and travel behaviors. Understanding these changes is crucial, prompting an investigation into socio-demographic and socio-economic factors.…
An elaborated pattern-based method of identifying data oscillations from mobile device location data
Qianqian Sun, Aref Darzi, Yixuan Pan
In recent years, passively collected GPS data have been popularly applied in various transportation studies, such as highway performance monitoring, travel behavior analysis, and t…
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…
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…
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…
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…