A Coupled Food Security and Refugee Movement Model for the South Sudan Conflict
We investigate, through data sets correlation analysis, how relevant to the simulation of refugee dynamics the food situation is. Armed conflicts often imply difficult food access conditions for the population, which can have a great impact on the behaviour of the refugees, as is the case in South Sudan. To test our approach, we adopt the Flee agent-based simulation code, combining it with a data-driven food security model to enhance the rule set for determining refugee movements. We test two different approaches for South Sudan and find promising yet negative results. While our first approach to modelling refugees response to food insecurity do not improve the error of the simulation development approach, we show that this behaviour is highly non-trivial and properly understanding it could determine the development of reliable models of refugee dynamics.
KeywordsMultiscale modelling Agent-based modelling Forced displacement Data-driven simulation
This work was supported by the VECMA and HiDALGO projects, which has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No. 800925 and 824115.
- 2.Ahmed, M.N., et al.: A multi-scale approach to data-driven mass migration analysis. In: CEUR Workshop Proceedings, vol. 1831 (2016)Google Scholar
- 4.Sokolowski, J.A., Banks, C.M.: A methodology for environment and agent development to model population displacement. In: Proceedings of the 2014 Symposium on Agent Directed Simulation, Tampa, Florida, Society for Computer Simulation International (2014)Google Scholar
- 6.Williams, N.E., O’Brien, M.L., Yao, X.: Using survey data for agent-based modeling: design and challenges in a model of armed conflict and population change. In: Grow, A., Van Bavel, J. (eds.) Agent-Based Modelling in Population Studies. TSSDMPA, vol. 41, pp. 159–184. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-32283-4_6CrossRefGoogle Scholar
- 8.Hébert, G.A., Perez, L., Harati, S.: An agent-based model to identify migration pathways of refugees: the case of Syria. In: Perez, L., Kim, E.-K., Sengupta, R. (eds.) Agent-Based Models and Complexity Science in the Age of Geospatial Big Data. AGIS, pp. 45–58. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-65993-0_4CrossRefGoogle Scholar
- 10.Suleimenova, D., Bell, D., Groen, D.: Towards an automated framework for agent-based simulation of refugee movements. In: Winter Simulation Conference (WSC) 2017, pp. 1240–1251. IEEE (2017)Google Scholar