References

• 2008Understanding mobility based on GPS data1,131 cited
• 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
• 2021Understanding the Demographics of Twitter Users760 cited
• 2012Understanding intra-urban trip patterns from taxi trajectory data327 cited
• 2012Human mobility modeling at metropolitan scales295 cited
• 2012Land-Use Classification Using Taxi GPS Traces290 cited
• 2023A survey on deep learning for human mobility282 cited
• 2015Uncovering urban human mobility from large scale taxi GPS data280 cited
• 2015Analysis of human mobility patterns from GPS trajectories and contextual information275 cited
• 2020Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic259 cited
• 2015Spatial variation of the urban taxi ridership using GPS data256 cited
• 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
• 2013The impact of biases in mobile phone ownership on estimates of human mobility246 cited
• 2020Twitter reveals human mobility dynamics during the COVID-19 pandemic242 cited
• 2021Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges