Towards an Agent-Based Simulation of Housing in Urban Beirut

Stefano Picascia, Neil Yorke-Smith

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationAgent Based Modelling of Urban Systems (ABMUS 2016)
Subtitle of host publicationFirst International Workshop Held in Conjunction with AAMAS, Revised, Selected, and Invited Papers
EditorsMohammad Reza Namazi-Rad, Lin Padgham, Pascal Perez, Kai Nagel, Ana Bazzan
Place of PublicationCham
Number of pages18
ISBN (Electronic)978-3-319-51957-9
ISBN (Print)978-3-319-51956-2
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameLecture Notes in Computer Science


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