Initial Results from an Agent-Based Simulation of Housing in Urban Beirut

Stefano Picascia, Ali Termos, Neil Yorke-Smith

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

1 Citation (Scopus)
9 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages2045-2047
Number of pages3
ISBN (Print)9781510868083
Publication statusPublished - 1 Jul 2018
Event17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
Duration: 10 Jul 201815 Jul 2018

Conference

Conference17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
CountrySweden
CityStockholm
Period10/07/1815/07/18

Keywords

  • Agent-based modelling
  • Lebanon
  • Migration
  • Rent-gap theory

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