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Mobility constraints in segregation models.

Daniele Gambetta1,2, Giovanni Mauro3,4,5, Luca Pappalardo6

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This summary is machine-generated.

This study introduces a new urban segregation model with mobility constraints. Results show lower segregation and slower convergence due to agent movement patterns.

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Area of Science:

  • Urban studies
  • Computational social science
  • Agent-based modeling

Background:

  • The original Schelling model is a foundational tool for studying urban segregation.
  • Existing enhancements have not incorporated realistic human mobility patterns.
  • Human mobility often exhibits preferences for shorter distances and denser locations.

Purpose of the Study:

  • To propose and analyze an agent-based model of urban segregation that includes mobility constraints.
  • To investigate how incorporating realistic mobility patterns affects segregation dynamics and convergence.
  • To provide a more realistic simulation of urban agent movement and its impact on segregation.

Main Methods:

  • Development of a novel agent-based segregation model incorporating distance and location relevance for agent movement.
  • Comparison of simulation results from the mobility-constrained model against the original Schelling model.
  • Analysis of agent movement patterns, particularly 'unhappy' agents, and their effect on segregation levels and convergence time.

Main Results:

  • The mobility-constrained model demonstrates lower overall segregation levels compared to the original Schelling model.
  • Convergence to a stable state takes longer in the mobility-constrained model.
  • A small number of persistently unhappy minority agents moving centrally were identified as key factors for prolonged convergence and reduced segregation.

Conclusions:

  • Mobility constraints significantly alter urban segregation dynamics, leading to less segregation but slower stabilization.
  • The movement of specific agent groups, particularly unhappy minority agents, plays a crucial role in model outcomes.
  • Incorporating realistic mobility constraints offers a more accurate representation for understanding and addressing urban segregation.