This extended abstract discusses the challenges of obtaining data for agent-based simulation in one case. Our motivation is to explore the effects of significant migrations upon urban dynamics. To date, we have produced a theoretically-grounded spatial agent-based model, and validated it with data in urban contexts without migration. Now, in contexts with migration, upon moving from an abstracted model to a data-grounded model, we encounter a number of challenges in extending and validating the model. The majority of these challenges concern data.@en

Rapid international migration of significant populations generates profound implications for countries in West Asia, Europe, and other regions. The motivation of this work is to develop an agent-based model (ABM) to capture the existence of such migrant and refugee flows, and to explore the effects of these flows on urban dynamics. 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. In this article we leverage such an extant agent-based model founded on the rent-gap theory, as a lens to study the effect of sizeable refugee migration upon a capital city in West Asia. In order to calibrate and validate the simulation model we construct indices for housing prices and other factors. Results from the model, implemented in NetLogo, show the impact of migration shock on the housing market, and identify the relative efficacy of housing intervention policies. Our work progresses towards a tool for policy makers asking what-if questions about the urban environment in the context of migration. @en

The motivation for this extended abstract is to develop an agentbased model (ABM) to capture the existence of migrant and refugee flows, and to explore their effects on urban dynamics. We leverage an extant agent-based model founded on the rent-gap theory, as a lens to study the effect of sizeable refugee migration upon a capital city in West Asia. In order to calibrate and validate the simulation model, we construct indices for housing prices and other factors. Results from the model show the impact of migration shock on the housing market, and identify the relative efficacy of housing intervention policies. Our work progresses towards a tool for policy makers asking what-if questions about the urban environment in the context of migration.@en

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.@en