@inproceedings{607bd7025c2849168fcd4a98c3814220,
title = "Towards an Agent-Based Simulation of Housing in Urban Beirut",
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.",
author = "Stefano Picascia and Neil Yorke-Smith",
year = "2017",
doi = "10.1007/978-3-319-51957-9_1",
language = "English",
isbn = "978-3-319-51956-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "3--20",
editor = "Namazi-Rad, {Mohammad Reza} and Lin Padgham and Pascal Perez and Kai Nagel and Ana Bazzan",
booktitle = "Agent Based Modelling of Urban Systems (ABMUS 2016)",
}