EPJ Data Science

Identifying and predicting social lifestyles in people’s trajectories by neural networks

Unraveling pedestrian mobility on a road network using ICTs data during great tourist events

Commuting patterns: the flow and jump model and supporting data

Understanding the interplay between social and spatial behaviour

Shopping mall attraction and social mixing at a city scale

Mining large-scale human mobility data for long-term crime prediction

Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach

Debye–Hückel theory for refugees’ migration

The canary in the city: indicator groups as predictors of local rent increases

Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth

Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan

Resilience analytics: coverage and robustness in multi-modal transportation networks

Predicting the temporal activity patterns of new venues

Understanding predictability and exploration in human mobility