References

• 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
• 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome623 cited
• 2013Unravelling daily human mobility motifs584 cited
• 2007Deriving origin–destination data from a mobile phone network270 cited
• 2012Collective Human Mobility Pattern from Taxi Trips in Urban Area206 cited
• 2016Understanding urban mobility patterns with a probabilistic tensor factorization framework175 cited
• 2015Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn163 cited
• 2020Changing travel patterns in China during the early stages of the COVID-19 pandemic148 cited
• 2012Discovering urban spatial-temporal structure from human activity patterns99 cited
• 2014CitySpectrum96 cited
• 2021Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak58 cited
• 2018Origin-Destination estimation using mobile network probe data43 cited
• 2018Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization35 cited
• 2010Assessing the Impact of Public Holidays on Travel Time Expenditure30 cited