Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1177/2399808317719072
Titel (primär) Linking urban sprawl and income segregation – Findings from a stylized agent-based model
Autor Guo, C.; Buchmann, C.M.; Schwarz, N.
Quelle Environment and Planning B-Urban Analytics and City Science
Erscheinungsjahr 2019
Department CLE
Band/Volume 46
Heft 3
Seite von 469
Seite bis 489
Sprache englisch
Supplements https://journals.sagepub.com/doi/suppl/10.1177/2399808317719072/Sensitivity_anlysis_ChangesfromEditor.pdf
Keywords Agent-based modelling, income segregation, urban sprawl
Abstract Urban sprawl and income segregation are two undesired urban patterns that occur during urban development. Empirical studies show that income level and inequality are positively correlated with urban sprawl and income segregation, respectively. However, the relationship between urban sprawl and income segregation is not only rarely investigated but also shows ambiguous empirical results when it is. Therefore, in this study, we built a stylized agent-based model with individual behaviours based on Alonso’s bid rent theory and ran simulations with different combinations of income level and income inequality. We measured the overall emergent patterns with indicators for urban sprawl and income segregation. The model confirms the established positive correlations between income level and urban sprawl and between income inequality and segregation. Furthermore, the model shows a negative correlation between urban sprawl and income segregation under free market conditions. The model indicates that without any policy implementation, a city will either suffer from urban sprawl or income segregation. Thus, this study serves as a starting point to study the effects of different urban planning policies on these two urban problems.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21754
Guo, C., Buchmann, C.M., Schwarz, N. (2019):
Linking urban sprawl and income segregation – Findings from a stylized agent-based model
Env. Plan. B-Urban Anal. City Sci. 46 (3), 469 - 489 10.1177/2399808317719072