Urban Management: Learning
from Green Infrastructure,
Socioeconomics and Health Indicators
in the Municipalities of the State
of Paraná, Brazil, Towards Sustainable
Cities and Communities
Luciene Pimentel da Silva and Fábio Teodoro de Souza
Abstract The 2030 Agenda for Sustainable Development included universal access
to health care and well-being. However, the massive growth of cities and the reduction of vegetated areas induced imbalances in the environment. Green spaces reduce
environmental stressors such as heat waves, air and noise pollution. Nonetheless, lateyear Reports by WHO-Europe demonstrated that there is some controversy about
the benefits of green spaces. This paper discusses results of a pilot study involving
socioeconomic data and built environment indicators, including green infrastructure,
as well as morbidities of respiratory and circulatory diseases for the 399 municipalities of the State of Paraná, as well as a data mining approach to extract rules to
associate morbidities with said indicators. Results showed high variability in the
values of such indicators. Hierarchical tree analysis and non-hierarchical k-means
technique grouped the same variables into two clusters, one of which formed only
by the morbidities. Main component analysis resulted in four factors that explain
about 70% of the variance of the original variables. The mining of associative rules
was encouraging but further research is necessary, probably looking into other data
extracts such as geography, age and gender. These outcomes may support urban
planning and policies to enhance urban quality of life.
Keywords Green infrastructure · Respiratory diseases · Circulatory diseases ·
Paraná · Data mining
L. Pimentel da Silva (B) · F. T. de Souza
Pontifícia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição, Curitiba, Paraná
215-901, Brazil
e-mail: luciene.pimenteldasilva@gmail.com
F. T. de Souza
e-mail: fabio.teodoro@pucpr.br
© Springer Nature Switzerland AG 2020
W. Leal Filho et al. (eds.), Universities and Sustainable Communities:
Meeting the Goals of the Agenda 2030, World Sustainability Series,
https://doi.org/10.1007/978-3-030-30306-8_30
493
from Green Infrastructure,
Socioeconomics and Health Indicators
in the Municipalities of the State
of Paraná, Brazil, Towards Sustainable
Cities and Communities
Luciene Pimentel da Silva and Fábio Teodoro de Souza
Abstract The 2030 Agenda for Sustainable Development included universal access
to health care and well-being. However, the massive growth of cities and the reduction of vegetated areas induced imbalances in the environment. Green spaces reduce
environmental stressors such as heat waves, air and noise pollution. Nonetheless, lateyear Reports by WHO-Europe demonstrated that there is some controversy about
the benefits of green spaces. This paper discusses results of a pilot study involving
socioeconomic data and built environment indicators, including green infrastructure,
as well as morbidities of respiratory and circulatory diseases for the 399 municipalities of the State of Paraná, as well as a data mining approach to extract rules to
associate morbidities with said indicators. Results showed high variability in the
values of such indicators. Hierarchical tree analysis and non-hierarchical k-means
technique grouped the same variables into two clusters, one of which formed only
by the morbidities. Main component analysis resulted in four factors that explain
about 70% of the variance of the original variables. The mining of associative rules
was encouraging but further research is necessary, probably looking into other data
extracts such as geography, age and gender. These outcomes may support urban
planning and policies to enhance urban quality of life.
Keywords Green infrastructure · Respiratory diseases · Circulatory diseases ·
Paraná · Data mining
L. Pimentel da Silva (B) · F. T. de Souza
Pontifícia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição, Curitiba, Paraná
215-901, Brazil
e-mail: luciene.pimenteldasilva@gmail.com
F. T. de Souza
e-mail: fabio.teodoro@pucpr.br
© Springer Nature Switzerland AG 2020
W. Leal Filho et al. (eds.), Universities and Sustainable Communities:
Meeting the Goals of the Agenda 2030, World Sustainability Series,
https://doi.org/10.1007/978-3-030-30306-8_30
493