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Urban segregation has received increasing attention in the literature due to the negative impacts that it has on urban populations. Indices of urban segregation are useful instruments for understanding the problem as well as for setting up public policies. The usefulness of spatial segregation indices depends on their ability to account for the spatial(More)
Article history: Available online xxxx Keywords: Urban segregation Urban complexity Social simulation Agent-based model Brazil a b s t r a c t Urban segregation represents a significant barrier to achieving social inclusion in cities. To mitigate this problem, it is necessary to implement policies founded upon a better understanding of segregation dynamics.(More)
Segregation measures are useful tools for the analysis of patterns, causes and effects of residential segregation. However, most of empirical segregation studies have employed nonspatial and global measures. In other words, the measures so far applied are unable to consider the spatial arrangement of population and to show how much each areal unit(More)
This paper presents our first attempts to develop a new methodology for measuring housing deficit at small areas. It combines the advantages of two types of census data: (a) individual-level sample data, which are very useful for depicting many dimensions of the housing deficit, but do not present detailed geographic information; and (b) universal data with(More)
Residential segregation is an explicitly spatial phenomenon that emerges from the interaction of many individuals and displays markedly different global patterns depending on specific socioeconomic contexts. This paper presents a generative model of socioeconomic segregation that reproduces regular macro-level patterns of the phenomenon through the(More)
Land-use choice routines embedded in a human-environment system (HES) model must meet more requirements than those in models typically presented in purely economic or psychological studies. This study compares the strengths and shortcomings of two common empirical methods-multi-nominal logistic (MNL) regression and classification tree (CT) analysis – for(More)
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