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Updated: Jun 4, 2025

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Published on: July 4, 2007
Dynamical system model of gentrification: Exploring a simple rent control strategy.
Jonathan D Shaw1, Juan G Restrepo1, Nancy Rodríguez1
1Department of Applied Mathematics, <a href="https://ror.org/02ttsq026">University of Colorado</a>, Boulder, Colorado 80309, USA.
This study models urban gentrification using dynamical systems, finding that rent control can stabilize neighborhoods but may also lead to more disorganized, chaotic behavior. Understanding these factors is key to managing urban change.
Area of Science:
- Urban dynamics
- Mathematical modeling
- Socio-economic systems
Background:
- Gentrification is a complex urban process driven by multiple socio-economic factors.
- Understanding the interplay of neighborhood desirability, population dynamics, and real estate prices is crucial.
Purpose of the Study:
- To model the key drivers of gentrification using dynamical systems.
- To analyze the impact of a rent control scheme on urban neighborhood stability and dynamics.
Main Methods:
- Development of two simple dynamical systems modeling gentrification drivers.
- Analysis of linear stability of equilibria for both models.
- Numerical investigation of oscillatory solutions and system parameters.
Main Results:
- Rent control expands the parameter regime for system stability (approaching equilibrium).
- The rent control model can generate more disorganized oscillatory time series.
- Transient chaos was observed in the rent control model under specific conditions.
Conclusions:
- Simple dynamical models can reveal complex temporal behaviors in urban gentrification.
- Rent control introduces stabilizing effects but can also increase system unpredictability.
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