The accelerated and disorderly growth of cities has not been accompanied by the growth and
improvement of urban infrastructure, which contribute decisively to the quality of life of its
inhabitants. Studies on the urban environment reveal that the urbanization process generates
impacts, both environmental and social, however these impacts can be avoided or at least
minimized through an effective planning process. For this reason, the great challenge of urban
planning bodies is to understand the functioning of the urban environment and provide the right
conditions for communities to develop sustainably, seeking a balance between quality of life
and preservation of the environment. In this sense, studies that deal with the reality of
environmental quality in urban ecosystems are of fundamental importance to support planning
policies and more efficient land management. This research aims to evaluate the environmental
quality in the urban area of the municipality of Belém / PA, one of the municipalities of the
northern region of the country that presents, in population terms, large extensions of subnormal
clusters and highlights in the real estate scenario, with characteristics similar to many Brazilian
cities. To evaluate the environmental quality, the methodological procedures developed by
Borja (1998) and Kawakubo et. al., (2005) were used, using environmental and infrastructure
indicators (water supply, sanitary sewage, urban cleaning, flooding, noise pollution and cover
(SIPAM, CIOP, SESAN, IBGE, etc.) for the construction of a synthetic index of environmental
quality.In order to observe stratifications between the districts, environmental quality charts
and basic indexes were developed using Arcgis software. The perception of the residents was
also investigated through structured questionnaires whose items correspond to the same
indicators selected in the objective data. In order to observe possible contrast between the
objective and subjective data an index of environmental perception was constructed using the
same methodological precepts for the construction of the objective data and their respective
spatialization. The data show that although the results point to a sufficient level of
environmental quality, residents are dissatisfied with the infrastructure and quality of the
environment.
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