Towards an Agent-Based Simulation of Housing in Urban Beirut

Conference paper (2017)

Authors

Stefano Picascia University of Siena, Manchester Metropolitan University
N. Yorke-Smith American University of Beirut
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Published Date

2017

Language

English

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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.