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.
| Original language | English |
|---|---|
| Title of host publication | Agent Based Modelling of Urban Systems (ABMUS 2016) |
| Subtitle of host publication | First International Workshop Held in Conjunction with AAMAS, Revised, Selected, and Invited Papers |
| Editors | Mohammad Reza Namazi-Rad, Lin Padgham, Pascal Perez, Kai Nagel, Ana Bazzan |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 3-20 |
| Number of pages | 18 |
| ISBN (Electronic) | 978-3-319-51957-9 |
| ISBN (Print) | 978-3-319-51956-2 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 10051 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 16 Peace, Justice and Strong Institutions
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