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.

scikit-mobility: mobility analysis in Python

A Python library for computing several metrics related to predictability in 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.

Urban Dynamics Through the Lens of Human Mobility

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

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

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

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

An open dataset of human mobility.

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

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

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

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

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 …

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

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.