84 citations · 146 across the 4 of their papers we have counts for
4 papers
The Effects of the COVID-19 Pandemic on Transportation Systems in New York City and Seattle, USA
Jingqin Gao, Jingxing Wang, Zilin Bian +8
This paper continues to highlight trends in mobility and sociability in New York City (NYC), and supplements them with similar data from Seattle, WA, two of the cities most affecte…
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19
Ding Wang, Fan Zuo, Jingqin Gao +11
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped…
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
Fan Zuo, Jingxing Wang, Jingqin Gao +5
The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociabili…
Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example
Feilong Wang, Jingxing Wang, Jinzhou Cao +3
Passively-generated data, such as GPS data and cellular data, bring tremendous opportunities for human mobility analysis and transportation applications. Since their primary purpos…