69 citations · 76 across the 4 of their papers we have counts for
4 papers
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Kyle K. Qin, Yongli Ren, Wei Shao +3
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory i…
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…
COVID-19 is linked to changes in the time-space dimension of human mobility
Clodomir Santana, Federico Botta, Hugo Barbosa +3
Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their com…
Living in a pandemic: adaptation of individual mobility and social activity in the US
Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo +4
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. In this work, we…