Abstract
Advances in agent-based modelling have led to theoretically-grounded spatial agent models of urban dynamics, capturing the dynamics of population, property prices, and regeneration. We leverage our extant agent-based model founded on the rent-gap theory, as a lens to study the effect of sizeable refugee migration in an abstracted model of a densely-populated Mediterranean city. Our exploratory work provides the foundation for calibration with real data, and offers a step towards a tool for policy makers asking what-if questions about the urban environment in the context of migration.
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CITATION STYLE
Picascia, S., & Yorke-Smithe, N. (2017). Towards an agent-based simulation of housing in Urban beirut. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10051 LNAI, pp. 3–20). Springer Verlag. https://doi.org/10.1007/978-3-319-51957-9_1
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