Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions

Urban segregation emerges from a complex interplay of individual preferences and social interactions within varied urban landscapes. This study presents an expanded Schelling's segregation model, introducing a more granular representation of urban environments through categorization of distinct hubs: Economic, Educational, Cultural, and Green Spaces, along with unspecified areas. Agents within the model are characterized by distinct preferences for these hubs, guiding their movement decisions and thereby influencing the spatial configuration of the city. The model reflects the richness of urban life by capturing the intricacies of preference-based residential choices. Through integration of a survey-based approach, the study sources simulated agents' decision behaviors from real-world data, ensuring a realistic portrayal of urban dynamics. Our findings demonstrate how individual desires, such as the desire for economic stability, educational opportunities, cultural experiences, and environmental quality, combine with social factors to promote urban segregation in complex ways. Additionally, the study examines the impact of various policy interventions on urban segregation and individual well-being. It discusses how different interventions can produce diverse outcomes, showing that each policy can uniquely influence segregation patterns and the happiness of residents. • Enhances urban environment representation through categorized hubs for detailed segregation analysis. • Integrates real-world data to mirror complex residential decision-making. • Shows how desires for amenities and social factors drive urban segregation. • Analyzes how different strategies uniquely affect urban segregation and well-being. • Provides a predictive tool for understanding and managing urban segregation and integration.

Authors

Institutions

Publication Details

Journal
Cities
Published
2024-11-19
DOI
https://doi.org/10.1016/j.cities.2024.105576
Citations
2
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions

Sanja Lazarova‐Molnar, Yakup Turgut
2 citations
Cities
Urban, Neighborhood, and Segregation Studies
2.26
article

Exploring urban segregation dynamics: A hub-based agent model integrating preferences, social interactions, and policy interventions

Sanja Lazarova‐Molnar, Yakup Turgut
article en
2 citations

Abstract

Urban segregation emerges from a complex interplay of individual preferences and social interactions within varied urban landscapes. This study presents an expanded Schelling's segregation model, introducing a more granular representation of urban environments through categorization of distinct hubs: Economic, Educational, Cultural, and Green Spaces, along with unspecified areas. Agents within the model are characterized by distinct preferences for these hubs, guiding their movement decisions and thereby influencing the spatial configuration of the city. The model reflects the richness of urban life by capturing the intricacies of preference-based residential choices. Through integration of a survey-based approach, the study sources simulated agents' decision behaviors from real-world data, ensuring a realistic portrayal of urban dynamics. Our findings demonstrate how individual desires, such as the desire for economic stability, educational opportunities, cultural experiences, and environmental quality, combine with social factors to promote urban segregation in complex ways. Additionally, the study examines the impact of various policy interventions on urban segregation and individual well-being. It discusses how different interventions can produce diverse outcomes, showing that each policy can uniquely influence segregation patterns and the happiness of residents. • Enhances urban environment representation through categorized hubs for detailed segregation analysis. • Integrates real-world data to mirror complex residential decision-making. • Shows how desires for amenities and social factors drive urban segregation. • Analyzes how different strategies uniquely affect urban segregation and well-being. • Provides a predictive tool for understanding and managing urban segregation and integration.

CitiesVol. 156
Karlsruhe Institute of Technology (DE), University of Southern Denmark (DK), Maersk (Denmark) (DK), Usak University (TR)
Reduced inequalities
Openalex Percentile: Top 9%
Urban, Neighborhood, and Segregation Studies
2.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.