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Distribution of Green Areas and Socioeconomic Inequalities in Cachoeiro de Itapemirim - ES: Analysis of Correlations in A Smart City Approach

Year: 2024
Type: article
Abstract: Objective: To analyze the distribution of green areas in Cachoeiro de Itapemirim and its relationship with socioeconomic indicators to understand the impact of urbanization and sustainable management on environmental and social inequalities. Theoretical Framework: The inclusion of green spaces is discussed as essential for reducing pollution and promoting health, but their unequal distribution reflects existing socioeconomic disparities, especially in low-income regions. Method: Google Earth satellite images and ArcGIS 10.8 software were used to map land use, classifying it into arboreal, low-lying, urban, and exposed soil vegetation, using the Maximum Similarity Classification technique. The most recent socioeconomic data were analyzed using Pearson's correlation coefficient to identify the relationship between the presence of vegetation and socioeconomic indicators. Results and Discussion: The results show that green areas, although important for the environment and well-being, are not determinants for socioeconomic improvements, highlighting the complex relationship influenced by factors such as public policies and urban infrastructure. Research Implications: The research highlights the need for multifaceted approaches to sustainable urban management, considering not only the distribution of green areas, but also the implementation of effective public policies and improvements in urban infrastructure to reduce socioeconomic inequalities. Originality/Value: The study expands the literature by exploring the distribution of green areas in a medium-sized Brazilian city, analyzing the relationship between environmental sustainability and socioeconomic inequalities, and reinforces the importance of future research that considers multiple urban factors.
Authors: Elton Souza dos Santos, Kayrone Marvila de Almeida, Adriana Fiorotti Campos
Language: English
Open Access status: hybrid
OpenAlex ID: W4405276312
FWCI:
Cites: 15
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Related to: 10