VULNERABILIDADE SOCIOECONÔMICA DOS BAIRROS DE CURITIBA

Understanding the needs of a metropolis and its inhabitants involves analyzing a multitude of data related to its dynamics. However, aggregating multiple complex data sets from heterogeneous sources and various levels of granularity poses a challenge for researchers undertaking this task. This study utilized public data from official sources related to favelas, public safety and crime, public health, education, income, and age demographics of neighborhoods in the capital city of Paraná, in Brazil. The aim was to understand the relationship between these factors. A socioeconomic vulnerability index for the neighborhoods of Curitiba was generated using the statistical method of principal component analysis. The findings revealed that crime data have the greatest weight in defining the vulnerability of a neighborhood in the city, which can provide significant support for local administration's decision-making processes in their efforts to reduce inequalities that might otherwise go unnoticed.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-08-12
Primary Topic
Urban Development and Societal Issues
Type
article
Field-Weighted Citation Impact
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article

VULNERABILIDADE SOCIOECONÔMICA DOS BAIRROS DE CURITIBA

Journal of the Association for Information Systems
Urban Development and Societal Issues
article

VULNERABILIDADE SOCIOECONÔMICA DOS BAIRROS DE CURITIBA

article en

Abstract

Understanding the needs of a metropolis and its inhabitants involves analyzing a multitude of data related to its dynamics. However, aggregating multiple complex data sets from heterogeneous sources and various levels of granularity poses a challenge for researchers undertaking this task. This study utilized public data from official sources related to favelas, public safety and crime, public health, education, income, and age demographics of neighborhoods in the capital city of Paraná, in Brazil. The aim was to understand the relationship between these factors. A socioeconomic vulnerability index for the neighborhoods of Curitiba was generated using the statistical method of principal component analysis. The findings revealed that crime data have the greatest weight in defining the vulnerability of a neighborhood in the city, which can provide significant support for local administration's decision-making processes in their efforts to reduce inequalities that might otherwise go unnoticed.

Journal of the Association for Information Systems
Openalex Percentile: Top 24%
Urban Development and Societal Issues
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