A multi-scaled agent-based model of residential segregation applied to a real metropolitan area
Authored by David O'Sullivan, Peter Davis, Babak Mahdavi Adrestani
Date Published: 2018
DOI: 10.1016/j.compenvurbsys.2017.11.002
Sponsors:
Royal Society of New Zealand Marsden Fund
Platforms:
No platforms listed
Model Documentation:
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Model Code URLs:
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Abstract
Residential segregation influences many aspects of urban life. It
affects people's access to centres of education, healthcare, business
and determines the composition of our neighbourhoods, thereby impacting
our social network and urban structure. In order to understand the
potential impact of policies on residential segregation and complex
urban system, a dynamic modelling support tool would be essential. This
research article presents a multi-scaled agent-based model capable of
simulating the relocation of residents of a representative population of
a large urban area in a realistic environment for investigating the
dynamics of residential segregation. Using an experiment, we show that
this data-driven model can replicate plausible residential distribution
and segregation patterns observed in the Auckland region (New Zealand's
metropolis). Simulation outcomes are promising, demonstrating the
potential of the model for investigating practical policy-relevant
questions and acquiring valuable insights into the future state of the
urban mosaic landscape and causes behind residential segregation
dynamics.
Tags
Agent-based modelling
Simulation
Dynamics
Validation
systems
residential segregation
Neighborhood racial segregation
Ethnic-preferences
Multi-scaled modelling
Complex urban system
Plurality index
Housing vacancy dynamics