Computational Model Library

RefugeePathSIM Model (1.1.0)

RefugeePathSIM is an agent-based model to simulate the movement behavior of refugees in order to identify pathways of forced migration under crisis. The model generates migrants and lets them leave conflict areas for a destination that they choose based on their characteristics and desires. RefugeePathSIM has been developed and applied in a study of the Syrian war, using monthly data in years 2011-2015.

RefugeePathSIM-1-0-5 interface.png

Release Notes

The RefugeePathSIM model was created by Guillaume Arnoux Hébert (MSc) in collaboration with Saeed Harati (PhD Candidate) and the supervision of Dr. Liliana Perez. The authors are members of the Laboratory of Environmental Geosimulation (LEDGE) at the University of Montreal, and would like to acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC) for full support of this study under the Discovery Grant Program awarded to Dr. Perez.

This model was proposed, implemented and used to provide the results for the following published (peer reviewed) chapter:

  • Hébert, G. A., Perez, L., & Harati, S. (2018). An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria. In Agent-Based Models and Complexity Science in the Age of Geospatial Big Data, Cham: Springer International Publishing, pp. 45–58.

Associated Publications

RefugeePathSIM Model 1.1.0

RefugeePathSIM is an agent-based model to simulate the movement behavior of refugees in order to identify pathways of forced migration under crisis. The model generates migrants and lets them leave conflict areas for a destination that they choose based on their characteristics and desires. RefugeePathSIM has been developed and applied in a study of the Syrian war, using monthly data in years 2011-2015.

Release Notes

The RefugeePathSIM model was created by Guillaume Arnoux Hébert (MSc) in collaboration with Saeed Harati (PhD Candidate) and the supervision of Dr. Liliana Perez. The authors are members of the Laboratory of Environmental Geosimulation (LEDGE) at the University of Montreal, and would like to acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC) for full support of this study under the Discovery Grant Program awarded to Dr. Perez.

This model was proposed, implemented and used to provide the results for the following published (peer reviewed) chapter:

  • Hébert, G. A., Perez, L., & Harati, S. (2018). An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria. In Agent-Based Models and Complexity Science in the Age of Geospatial Big Data, Cham: Springer International Publishing, pp. 45–58.

Version Submitter First published Last modified Status
1.1.0 Liliana Perez Tue Oct 16 17:02:24 2018 Tue Oct 16 20:07:31 2018 Published https://doi.org/10.25937/9syz-f680
1.0.0 Liliana Perez Thu Oct 11 20:00:29 2018 Tue Oct 16 20:07:17 2018 Published

Discussion

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