DYNAMIC MODELS OF GENTRIFICATION

Giovanni Mauro, Nicola Pedreschi (), Renaud Lambiotte () and Luca Pappalardo
Additional contact information
Giovanni Mauro: ISTI-CNR, Pisa, Italy2Scuola Normale Superiore, Pisa, Italy3Department of Computer Science, University of Pisa, Pisa, Italy4IMT School for Advanced Studies, Lucca, Italy
Nicola Pedreschi: Mathematical Institute, University of Oxford, UK
Renaud Lambiotte: Mathematical Institute, University of Oxford, UK
Luca Pappalardo: ISTI-CNR, Pisa, Italy2Scuola Normale Superiore, Pisa, Italy

Advances in Complex Systems (ACS), 2025, vol. 28, issue 06, 1-21

Abstract: The phenomenon of gentrification of an urban area is characterized by the displacement of lower-income residents due to rising living costs and an influx of wealthier individuals. This study presents an agent-based model that simulates urban gentrification through the relocation of three income groups — low, middle, and high — driven by living costs. The model incorporates economic and sociological theories to generate realistic neighborhood transition patterns. We introduce a temporal network-based measure to track the outflow of low-income residents and the inflow of middle- and high-income residents over time. Our experiments reveal that high-income residents trigger gentrification and that our network-based measure consistently detects gentrification patterns earlier than traditional count-based methods, potentially serving as an early detection tool in real-world scenarios. Moreover, the analysis highlights how city density promotes gentrification. This framework offers valuable insights for understanding gentrification dynamics and informing urban planning and policy decisions.

Keywords: Gentrification; urban dynamics; temporal networks (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525925400065
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:28:y:2025:i:06:n:s0219525925400065

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525925400065

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().