2006/07/31 by Antonio Aguilera, Edgardo Ugalde · 13 citations
Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · Social Sciences · #Complex Systems and Time Series Analysis #Computer science #Econometrics #Economics #Housing Market and Economics #Inequality #Mathematical optimization #Mathematics #Population #Process (computing) #Urban, Neighborhood, and Segregation Studies #Weighting #nlin.AO
paper · pdf · doi:10.1155/2007/48589
published in Discrete Dynamics in Nature and Society 2007, 1-20 (Hindawi Publishing Corporation) · 17 pages, 11 figures. email: [email protected], [email protected]
arxiv created 2006/08/16 · openalex publication_date 2007/01/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We analyze urban spatial segregation phenomenon in terms of the income distribution over a population, and an inflationary parameter weighting the evolution of housing prices. For this, we develop a discrete spatially extended model based on a multiagent approach. In our model, the mobility of socioeconomic agents is driven only by the housing prices. Agents exchange location in order to fit their status to the cost of their housing. On the other hand, the price of a particular house depends on the status of its tenant, and on the neighborhood mean lodging cost weighted by a control parameter. The agent's dynamics converges to a spatially organized configuration, whose regularity is measured by using an entropy-like indicator. This simple model provides a dynamical process organizing the virtual city, in a way that the population inequality and the inflationary parameter determine the degree of residential segregation in the final stage of the process, in agreement with the segregation-inequality thesis put forward by Douglas Massey.