scikit-mobility: mobility analysis in Python

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

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 …

Collect and filter location information from social network services.

Urban Dynamics Through the Lens of Human Mobility

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

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

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

Public transit mobility as a leading indicator of COVID-19 transmission in 40 cities during the first wave of the pandemic

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

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

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 contains the code for the paper "ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction".

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"

Advances on human mobility science, covering the reading list of recent top academic conferences.