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Scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data
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Scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data (2019)Scikit-mobility: a Python library for the…Urban Mobility (2025)Urban MobilityProfiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data (2024)Profiling Urban Mobility Patt…Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning (2024)Learning to generate syntheti…Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI (2024)Exploring lifestyle patterns …Spatio-temporal Analysis of Mobile Phone and Social Media Data Across Multiple Disaster Scenarios: An Input to Population Exposure Assessment (2023)Spatio-temporal Analysis of M…Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19 (2023)Sensing Mobility and Routine …Effects of Route Randomization on Urban Emissions (2023)Effects of Route Randomizatio…A multi-scale unified model of human mobility in urban agglomerations (2023)A multi-scale unified model o…Über ein Paradoxon aus der Verkehrsplanung (1968)On a Paradox of Traffic Planning (2005)Understanding the patterns of car travel (2013)Navigation Services and Urban Sustainability (2023)Exploring human mobility with multi-source data at extremely large metropolitan scales (2014)How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Profile segmentation: Clustering approach based on behavioral patterns extracted from mobile phone data (2025)Exploring the mobility of mobile phone users (2012)Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data (2012)Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment (2017)Individual Choice Behavior (1962)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Enhancing Hybrid Bike-Sharing Systems Through Long-Term Inventory Management: A Generative-Model-Informed Reinforcement Learning Approach (2025)The IMAGE framework for human mobility science: A comprehensive bibliometric analysis of research trends and frontiers (2025)Applications of New Technologies in Travel Surveys (2006)Transportation Planning Handbook (2016)Minimum Manhattan Distance Approach to Multiple Criteria Decision Making in Multiobjective Optimization Problems (2024)Clustering daily patterns of human activities in the city (2012)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Learning the route choice behavior of subway passengers from AFC data (2017)Associations of Built Environments with the Spatiotemporal Patterns of Older Adults (2025)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Limits of Predictability in Human Mobility (2010)Metropolitan Planning Organizations’ Uses of and Needs for Big Data (2024)Multiday User Equilibrium with Strategic Commuters (2024)Using Multiple Biased Data Sets to Recover Missing Trips with a Behaviorally Informed Model (2025)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)
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  • 2023A multi-scale unified model of human mobility in urban agglomerations16 cited
  • 2024Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning15 cited
  • 2023Spatio-temporal Analysis of Mobile Phone and Social Media Data Across Multiple Disaster Scenarios: An Input to Population Exposure Assessment6 cited
  • 2023Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-196 cited
  • 2024Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI5 cited
  • 2023Effects of Route Randomization on Urban Emissions4 cited
  • 2024Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data3 cited
  • 2025Urban Mobility3 cited

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