Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/7486
Title: Urban slum structure: integrating socioeconomic and land cover data to model slum evolution in Salvador, Brazil.
Authors: Hacker, Kathryn P
Seto, Karen C
Costa, Federico
Corburn, Jason
Reis, Mitermayer Galvão dos
Ko, Albert Icksang
Wasser, Maria A. Diuk
Affilliation: Yale School of Public Health. Department of Epidemiology of Microbial Disease. New Haven, USA
Yale University. School of Forestry and Environmental Studies. New Haven, USA
Fundação Oswaldo Cruz. Centro de Pesquisa Gonçalo Moniz. Salvador, BA, Brasil
University of California Berkeley. Department of City and Regional Planning & School of Public Health. Berkeley, USA
Fundação Oswaldo Cruz. Centro de Pesquisa Gonçalo Moniz. Salvador, BA, Brasil
Yale School of Public Health. Department of Epidemiology of Microbial Disease. New Haven, USA / Fundação Oswaldo Cruz. Centro de Pesquisa Gonçalo Moniz. Salvador, BA, Brasil
Yale School of Public Health. Department of Epidemiology of Microbial Disease. New Haven, USA
Abstract: BACKGROUND: The expansion of urban slums is a key challenge for public and social policy in the 21st century. The heterogeneous and dynamic nature of slum communities limits the use of rigid slum definitions. A systematic and flexible approach to characterize, delineate and model urban slum structure at an operational resolution is essential to plan, deploy, and monitor interventions at the local and national level. METHODS: We modeled the multi-dimensional structure of urban slums in the city of Salvador, a city of 3 million inhabitants in Brazil, by integrating census-derived socioeconomic variables and remotely-sensed land cover variables. We assessed the correlation between the two sets of variables using canonical correlation analysis, identified land cover proxies for the socioeconomic variables, and produced an integrated map of deprivation in Salvador at 30 m × 30 m resolution. RESULTS: The canonical analysis identified three significant ordination axes that described the structure of Salvador census tracts according to land cover and socioeconomic features. The first canonical axis captured a gradient from crowded, low-income communities with corrugated roof housing to higher-income communities. The second canonical axis discriminated among socioeconomic variables characterizing the most marginalized census tracts, those without access to sanitation or piped water. The third canonical axis accounted for the least amount of variation, but discriminated between high-income areas with white-painted or tiled roofs from lower-income areas. CONCLUSIONS: Our approach captures the socioeconomic and land cover heterogeneity within and between slum settlements and identifies the most marginalized communities in a large, complex urban setting. These findings indicate that changes in the canonical scores for slum areas can be used to track their evolution and to monitor the impact of development programs such as slum upgrading.
keywords: Política pública
Política pública de saúde
Favelas
Análise sócio-econômica
Condições socio-econômicas
Saneamento básico
Salvador
Característica biológicas da água
Comunidades
Saneamento ambiental
Política de saneamento
Issue Date: 2013
Publisher: BioMed Central Ltd.
Citation: HACKER K. P. et al. Urban slum structure: integrating socioeconomic and land cover data to model slum evolution in Salvador, Brazil. International Journal of Health Geographics, v. 12, p. 45, 2013.
ISSN: 1476-072X
Copyright: open access
Appears in Collections:BA - IGM - Artigos de Periódicos

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