2010
DOI: 10.1016/j.cities.2009.12.001
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A methodology to approach immigrants’ land use in metropolitan areas

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Cited by 7 publications
(4 citation statements)
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“…The metropolitan and urban economic poles in the Oporto Metropolitan Area mainly attract highly qualified immigrants, irrespective of their ethnic-cultural origin (Rebelo, 2010a). The decision tree that characterizes residential location shows that professional designation is stronger than country of origin as a partition criterion.…”
Section: Discussion Of the Resultsmentioning
confidence: 99%
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“…The metropolitan and urban economic poles in the Oporto Metropolitan Area mainly attract highly qualified immigrants, irrespective of their ethnic-cultural origin (Rebelo, 2010a). The decision tree that characterizes residential location shows that professional designation is stronger than country of origin as a partition criterion.…”
Section: Discussion Of the Resultsmentioning
confidence: 99%
“…Although seldom used to study settlement patterns, hierarchical classification trees complement other currently used methodologies: factor analysis, which reveals differentiation patterns, and regression analysis, which identifies the explicit functional relations between settlement patterns and their underlying variables (Rebelo, 2010a). Application of these trees conveys common in situ characteristics of settlement (at the micro scale).…”
Section: Methodsmentioning
confidence: 99%
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“…The hypothesis is that immigrant population of Barcelona city is located primarily in those areas of lower quality housing and that this immigrants concentration areas with lower quality housing index matches with the lower housing prices. On this research it was made the Housing Quality Index (iQviv), and the Housing Characteristics Index (iCviv), and it was observed their correlation with the Immigrant Concentration Index (ICI) and the evolution of the Housing Value from 2004-2010 Observing that the areas with lower housing quality index and where immigrants are concentrated not always matches with the areas that have the lower real estate prices.…”
mentioning
confidence: 99%