Towards an Agent-Based Simulation of Housing in Urban Beirut

被引：3

作者：

Picascia, Stefano ^{[1
,2
]}

Yorke-Smith, Neil ^{[3
]}

机构：

[1] Manchester Metropolitan Univ, Ctr Policy Modelling, Manchester, Lancs, England

[2] Univ Siena, Lab Dati Econ Storici Terr, Siena, Italy

[3] Amer Univ Beirut, Olayan Sch Business, Beirut, Lebanon

来源：

AGENT BASED MODELLING OF URBAN SYSTEMS, ABMUS 2016 | 2017年 / 10051卷

关键词：

Urban simulation; Rent-gap theory; Migration; Agent-based modelling; Lebanon; NetLogo; MODEL;

D O I：

10.1007/978-3-319-51957-9_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：3 / 20

页数：18

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