We develop an agent based model to characterize the wellbeing of newcomers (i.e. asylum seeking refugees) in the context of asylum logistics using Schwartz's theory of values. The model produces recommendations for decision-makers with respect to avoiding catastrophic outcomes and maximizing best case outcomes. We conduct analysis to show that while a relatively simple set of conditions is necessary to avoid catastrophic outcomes, these conditions are insufficient to maximize the best case outcomes. Furthermore, the conditions that maximize one best case outcome do so at the expense of another. The result is a platform for decision-makers to understand tradeoffs in policies for government and non-government organizations.
|ISSN van geprinte versie||0735-9276|
|Congres||2019 Spring Simulation Conference, SpringSim 2019|
|Land||Verenigde Staten van Amerika|
|Periode||29/04/19 → 2/05/19|