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  • 标题:Agent-Based Simulation of West Asian Urban Dynamics: Impact of Refugees
  • 本地全文:下载
  • 作者:Ali Termos ; Stefano Picascia ; Neil Yorke-Smith
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2021
  • 卷号:24
  • 期号:1
  • 页码:1
  • DOI:10.18564/jasss.4472
  • 出版社:University of Surrey, Department of Sociology
  • 摘要: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 eects 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 eect 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 eicacy 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.
  • 关键词:Rent-Gap Theory; Migration; Agent-Based Modelling; Urban Dynamics; Housing; Social Simulation; Lebanon
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