Analysing Seasonal Mobility Patterns Using Mobile Phone Data

Pulse Lab Kampala

Project Description

Mobile phone data allows for the direct observation of population-scale mobility. In this study, the movements of populations in Senegal in 2013 were quantified using anonymised mobile phone data. Movement patterns among populations groups were extracted and visualised, which resulted in a series of mobility profiles from different regions of Senegal. These mobility profiles were compared with agricultural cycles and livelihoods of each region.

Results of this analysis showed that for vulnerable population groups, changes in mobility patterns could indicate changes in livelihoods or coping strategies, or exposure to new shocks. Monitoring such changes in vulnerability in real time could be a powerful humanitarian early warning mechanism for informed decision-making and rapid response.

TECHNICAL PAPER: P. Zufiria et al. Mobility profiles and calendars for food security and livelihoods analysis (2015) D4D Challenge proceedings, Netmob 2015.

RELATED: Read a WFP press release about this project, and read more about the Orange Data for Development (D4D) Challenge in Senegal

Did you find this project interesting? Share it with your networks!

Share on facebook
Share on twitter
Share on linkedin
Share on email

Below you can find our latest examples of our collaborative research, prototypes and experiments, where we analyse digital data to advance global development, support humanitarian action, and promote peace. For more, go to the research projects page.

Pulse Lab Jakarta

Nowcasting Air Quality Using Twitter

In some communities in Indonesia, real-time air quality information is not available, which is crucial for improving response efforts in regions affected by air pollution.

Scroll to Top