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

Research is fun!

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

Collect and filter location information from social network services.

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

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.

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

Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobility has gain importance to offer better services …

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

a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information"

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

Human mobility data (in form of <x,y,t>) analysis and visualization in R.

An open dataset of human mobility.

This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.

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

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

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