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: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

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