12 citations · 24 across the 6 of their papers we have counts for
6 papers
Complete Trip: A Linked Multimodal Human Mobility Dataset
Ruohan Li, Weiyu Luo, Xin Wu +1
Human mobility data have become fundamental to research across transportation, public health, urban science, and disaster resilience. However, existing mobility datasets typically…
Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model
Weiyu Luo, Chenfeng Xiong
Location-Based Service (LBS) data provides critical insights into human mobility, yet its sparsity often yields incomplete trip and activity sequences, making accurate inferences a…
A Big-Data Driven Framework to Estimating Vehicle Volume based on Mobile Device Location Data
Mofeng Yang, Weiyu Luo, Mohammad Ashoori +7
Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control, transportation project prioritization, road maintenance plans and more. Traditional…
An Interstate Trips Analysis during COVID-19 in the United States
Weiyi Zhou, Minha Lee, Qianqian Sun +3
The worldwide outbreak of COVID-19 has posed a dire threat to the public. Human mobility has changed in various ways over the course of the pandemic. Despite current studies on com…
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…
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…