Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19675
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSuleimenova, D-
dc.contributor.authorGroen, D-
dc.date.accessioned2019-11-22T14:17:50Z-
dc.date.available2019-11-22T14:17:50Z-
dc.date.issued2020-01-31-
dc.identifier.citationJournal of Artificial Societies and Social Simulation, 2019, 23, 1, 2 (16 pp.)en_US
dc.identifier.issn1460-7425-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/19675-
dc.description.abstractForced displacement has a huge impact on society today, as more than 68 million people are forcibly displaced worldwide. Existing methods for forecasting the arrival of migrants, especially refugees, may help us to better allocate humanitarian support and protection. However, few researchers have investigated the effects of policy decisions, such as border closures, on the movement of these refugees. Recently established simulation development approaches have made it possible to conduct such a study. In this paper, we use such an approach to investigate the effect of policy decisions on refugee arrivals for the South Sudan refugee crisis. To make such a study feasible in terms of human effort, we rely on agent-based modelling, and have automated several phases of simulation development using the FabFlee automation toolkit. We observe a decrease in the average relative difference from 0.615 to 0.499 as we improved the simulation model with additional information. Moreover, we conclude that the border closure and a reduction in camp capacity induce fewer refugee arrivals and more time spend travelling to other camps. While a border opening and an increase in camp capacity result in a limited increase in refugee arrivals at the destination camps. To the best of our knowledge, we are the first to conduct such an investigation for this conflict.-
dc.description.sponsorshipEuropean Union Horizon 2020 research and innovation programme under grant agreement No 800925 and 824115en_US
dc.language.isoenen_US
dc.publisherSimSoc Consortiumen_US
dc.subjectrefugee modellingen_US
dc.subjectagent-based modellingen_US
dc.subjectautomation toolkiten_US
dc.subjectpolicy decisionsen_US
dc.subjectvalidationen_US
dc.subjectsensitivity analysisen_US
dc.titleHow Policy Decisions Affect Refugee Journeys in South Sudan: A Study using Automated Ensemble Simulationsen_US
dc.typeArticleen_US
dc.relation.isPartOfJournal of Artificial Societies and Social Simulation-
pubs.publication-statusPublished-
Appears in Collections:Dept of Computer Science Embargoed Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdf3.27 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.