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dc.rights.licensehttp://rightsstatements.org/page/InC/1.0/?language=eses_AR
dc.contributor.authorPinasco, Damiánes_AR
dc.contributor.authorSchiaffino, Pabloes_AR
dc.contributor.authorArcón, Victoriaes_AR
dc.contributor.authorCaridi, Inéses_AR
dc.date.accessioned2024-04-11T19:55:34Z
dc.date.available2024-04-11T19:55:34Z
dc.date.issued2023
dc.identifier.urihttps://repositorio.utdt.edu/handle/20.500.13098/12581
dc.description.abstractWe study a variant of the classical spatial proximity Schelling’s segregation model, including a function that breaks the homogeneity over the land. This weighting function represents objective and subjective assessments or valuations of the territory. It justifies why the agents give importance to their neighbors according to the locations they occupy. In this new model, agents belong to two ethnic groups and react when a proportion of their neighbors weighted with the land function is above a tolerance parameter. We show that a smooth behavior of the weighting function, with few maxima and minima, gives rise to large-scale segregation. In contrast, highly oscillating weights generate more fragmented patterns, with smaller clusters. We present computational simulations of this phenomenon and relate them to several American cities’ segregation patterns. Also, we characterize the equilibria of the model as minimizers of a weighted, discrete, Laplacian eigenvalue problem, derived from a Hamiltonian or total energy of a particle system. This framework allows proving that total segregation results for the particular condition of a weighting function with a single minimum, with two clusters of maximum size. Besides, we predict the place where the clusters will appear. These analytical results agree with computational simulations.es_AR
dc.description.sponsorshipPor motivos relacionados con los derechos de autor este documento solo puede ser consultado en la Biblioteca Di Tella. Para reservar una cita podés ponerte en contacto con repositorio@utdt.edu.es_AR
dc.format.extent17 p.es_AR
dc.format.mediumapplication/pdfes_AR
dc.languageenges_AR
dc.publisherUniversidad Torcuato Di Tellaes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.subjectResidential segregationes_AR
dc.subjectSchelling modeles_AR
dc.subjectAgent-based modeles_AR
dc.subjectSegregation patternses_AR
dc.titleSegregation patterns for non-homogeneous locations in Schellings modeles_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_AR


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