A Python library for computing several metrics related to predictability in human mobility

Research is fun!

This dataset born from the need of mobility traces provided with demographics data of the users and it allows to define several classes of users with their most relevant places. Using probability distributions, it can be used to generate slotted mobility traces for different users.

Contrasting social and non-social sources of predictability in human mobility

🕊️Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies (academic research project).

An open dataset of human mobility.

Framework to simulate the effect of the Braess Paradox on CO2 emissions in urban areas by modeling the traffic flow from real data and simulating it through SUMO.

PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"

BorderRegion_KDE is a program to calculate a geographical Kernel Density Estimation (KDE) polygons derived from human mobility across country borders to map functional cross-border regions. The work is part of the BORDERSPACE project at the Digital Geography Lab, University of Helsinki.

Dolan, H., Rastelli, R. A Model-Based Approach to Assess Epidemic Risk. Stat Biosci (2021). https://doi.org/10.1007/s12561-021-09329-z

This repository stores the required code to replicate the article "Using digital footprint data to monitor human mobility and support rapid humanitarian responses"

Code and data repository for paper titled "Fine-Scale Prediction of People's Home Location using Social Media Footprints"

A SLAW mobility simulator based on the OMNeT++ and INET frameworks

PyTorch implementation of "HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction".

Collect and filter location information from social network services. (Web interface.)

Fractional calculus and commercial air transport models used in: arxiv.org/abs/1601.07655

Collect and filter location information from social network services.