# Brief survey of Mobility Analyses based on Mobile Phone Datasets

## TL;DR

This paper surveys various research efforts using mobile phone datasets to analyze human mobility, highlighting applications in urban planning, network optimization, epidemiology, and mobility predictability.

## Contribution

It provides a comprehensive overview of data science techniques applied to mobile phone data for understanding and leveraging human mobility patterns.

## Key findings

- Mobility data can inform urban planning and traffic management.
- Mobile datasets enable prediction of data traffic and epidemiologic risks.
- Mobility patterns exhibit measurable levels of predictability.

## Abstract

This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility. A driving theme in these projects is to use and improve Data Science techniques to understand mobility, as it can be observed through the lens of mobile phone datasets. We describe applications of mobility analyses for urban planning, prediction of data traffic usage, building delay tolerant networks, generating epidemiologic risk maps and measuring the predictability of human mobility.