Markov chain models of refugee migration data

The application of Markov chains to modelling refugee crises is explored, focusing on local migration of individuals at the level of cities and days. As an explicit example, we apply the Markov chains migration model developed here to United Nations High Commissioner for Refugees data on the Burundi...

Full description

Saved in:
Bibliographic Details
Published inIMA journal of applied mathematics Vol. 85; no. 6; pp. 892 - 912
Main Authors Huang, Vincent, Unwin, James
Format Journal Article
LanguageEnglish
Published 01.12.2020
Online AccessGet full text

Cover

More Information
Summary:The application of Markov chains to modelling refugee crises is explored, focusing on local migration of individuals at the level of cities and days. As an explicit example, we apply the Markov chains migration model developed here to United Nations High Commissioner for Refugees data on the Burundi refugee crisis. We compare our method to a state-of-the-art ‘agent-based’ model of Burundi refugee movements, and highlight that Markov chain approaches presented here can improve the match to data while simultaneously being more algorithmically efficient.
ISSN:0272-4960
1464-3634
DOI:10.1093/imamat/hxaa032