Pavement Management System must be efficient, effective, and economical in
managing scarce resources. To achieve this, it needs to be equipped with relevant and
reliable data and information for decision-making that satisfies the users of the
pavement in question. Therefore, this research was formulated with the intention of
enhancing the studies within the research line investigating pavement quality in the
Batista Campos neighborhood, a traditional district in Belém. To fulfill this objective,
the previously obtained Pavement Condition Index (PCI) data from previous studies
were parameterized using the sectoral grid provided by the Brazilian Institute of
Geography and Statistics (IBGE) through the 2010 Brazilian Demographic Census.
This enabled them to be correlated with demographic and socioeconomic index. The
2010 Census produced a set of 4239 variables available for analysis, which were
correlated with the PCI values. Among these variables, twenty were selected for
subsequent presentation and discussion of the results. Notably, among the identified
relationships, a significant positive linear correlation was found between the Pavement
Condition Index and the proportion of female residents (Pearson correlation r = 0,74),
as well as with the proportion of elderly individuals heading households (Pearson
correlation r = 0,70). Furthermore, a moderate negative linear correlation was observed
between the PCI and the percentage of self-identified black individuals (Pearson
correlation r = -0,57), as well as with the average number of residents per household
(Pearson correlation r = -0,54).
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