References

• 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
• 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
• 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19226 cited
• 2018Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study93 cited
• 2017Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation68 cited
• 2024Characterising travel behaviour patterns of transport hub station area users using mobile phone data49 cited
• 2020Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data36 cited
• 2020Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand36 cited
• 2023National-Level Multimodal Origin–Destination Estimation Based on Passively Collected Location Data and Machine Learning Methods13 cited
• 2022Mobile Device Data for Parks and Public Lands Transportation Planning: A Framework for Evaluation and Applications8 cited
• 2021Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter6 cited

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