Abstract
Agent-based models (ABM) simulate individual, micro-level decision making to predict macro-scale emergent behaviour patterns. In this paper, we use ABM for forced displacement to predict the distribution of refugees fleeing from northern Ethiopia to Sudan. Since Ethiopia has more than 950,000 internally displaced persons (IDPs) and is home to 96,000 Eritrean refugees in four camps situated in the Tigray region, we model refugees, IDPs and Eritrean refugees. It is the first time we attempt such integration, but we believe it is important because IDPs and Eritrean refugees could become refugees fleeing to Sudan. To provide more accurate predictions, we review and revise the key assumptions in the Flee simulation code that underpin the model, and draw on new information from data collection activities. Our initial simulation predicts more than 75% of the movements of forced migrants correctly in absolute terms with the average relative error of 0.45. Finally, we aim to forecast movement patterns, destination preferences among displaced populations and emerging trends for destinations in Sudan.
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References
Arora, P., Malhotra, P., Lakhmani, I., Srivastava, J.: Agent based software development. Int. J. Sci. Res. Eng. Technol. 6(4) (2017)
Allan, R.: Survey of agent-based modelling and simulation tools. Science and Technology Facilities Council (2010). http://purl.org/net/epubs/manifestation/5601/DLTR-2010-007.pdf
Schelling, T.C.: Dynamic models of segregation. J. Math. Sociol. 1, 143–186 (1971)
Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, Cambridge (1996)
Abar, S., Theodoropoulos, G.K., Lemarinier, P., O’Hare, G.M.P.: Agent based modelling and simulation tools: a review of the state-of-art software. Comput. Sci. Rev. 24, 13–33 (2017)
Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)
Castle, C., Crooks, A.: Principles and concepts of agent-based modelling for developing geospatial simulations. Centre for Advanced Spatial Analysis, University College London (2006)
Crooks, A., Castle, C., Batty, M.: Key challenges in agent-based modelling for geo-spatial simulation. Comput. Environ. Urban Syst. 32(6), 417–430 (2008)
Entwisle, B., et al.: Climate shocks and migration: an agent-based modeling approach. Popul. Environ. 38(1), 47–71 (2016)
Raymer, J., Smith, P.W.F.: Editorial: modelling migration flows. J. Roy. Stat. Soc. 173(4), 703–705 (2010)
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_4
Estrada, L.E.P., Groen, D., Ramirez-Marquez, J.E.: A serious video game to support decision making on refugee aid deployment policy. Procedia Comput. Sci. 108, 205–214 (2017)
Suleimenova, D., Bell, D., Groen, D.: A generalized simulation development approach for predicting refugee destinations. Sci. Rep. 7, 13377 (2017)
Groen, D.: Simulating refugee movements: where would you go? Procedia Comput. Sci. 80, 2251–2255 (2016)
Acknowledgements
This work was supported by the HiDALGO project, which has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 824115. The authors are grateful to Save The Children and Achut Manandhar for his constructive suggestions.
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Suleimenova, D., Low, W., Groen, D. (2022). An Agent-Based Forced Displacement Simulation: A Case Study of the Tigray Crisis. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13353. Springer, Cham. https://doi.org/10.1007/978-3-031-08760-8_7
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