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Journal Article

Citation

Sousa DCB, Pitombo CS, Rocha SS, Salgueiro AR, Delgado JPM. Rev. Saude Publica 2017; 51: e127.

Affiliation

Universidade Federal da Bahia. Escola Politécnica. Departamento de Engenharia de Transportes e Geodésia. Salvador, BA, Brasil.

Copyright

(Copyright © 2017, Faculdade de Higiene e Saude Publica)

DOI

10.11606/S1518-8787.2017051007085

PMID

29236883

Abstract

OBJECTIVE: To carry out a spatial analysis of the occurrence of acts of violence (specifically robberies) in public transportation, identifying the regions of greater incidence, using geostatistics, and possible causes with the aid of a multicriteria analysis in the Geographic Information System.

METHODS: The unit of analysis is the traffic analysis zone of the survey named Origem-Destino, carried out in Salvador, state of Bahia, in 2013. The robberies recorded by the Department of Public Security of Bahia in 2013 were located and made compatible with the limits of the traffic analysis zones and, later, associated with the respective centroids. After determining the regions with the highest probability of robbery, we carried out a geographic analysis of the possible causes in the region with the highest robbery potential, considering the factors analyzed using a multicriteria analysis in a Geographic Information System environment.

RESULTS: The execution of the two steps of this study allowed us to identify areas corresponding to the greater probability of occurrence of robberies in public transportation. In addition, the three most vulnerable road sections (Estrada da Liberdade, Rua Pero Vaz, and Avenida General San Martin) were identified in these areas. In these sections, the factors that most contribute with the potential for robbery in buses are: F1 - proximity to places that facilitate escape, F3 - great movement of persons, and F2 - absence of policing, respectively.

CONCLUSIONS: Indicator Kriging (geostatistical estimation) can be used to construct a spatial probability surface, which can be a useful tool for the implementation of public policies. The multicriteria analysis in the Geographic Information System environment allowed us to understand the spatial factors related to the phenomenon under analysis.


Language: pt

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