Abstract

Abstract Indicators of violence involving public transportation have reached alarming levels in most Brazilian states, hampering mobility. This article aims to identify the level of vulnerability and resilience of public transportation in 21 administrative regions of the city of Rio de Janeiro, in light of criminal occurrences. Variables related to population, employment, intervening opportunities, travel time, criminal occurrences associated with public transportation and police coverage of each evaluated region were used. The results indicated that the five most vulnerable regions are Campo Grande, Méier, Barra da Tijuca, Rio Comprido and Irajá, and the most resilient are Lagoa, Copacabana, Botafogo, Vila Isabel and Tijuca. The contribution of this work is the proposal to analyze the level of vulnerability and resilience based on public security data, with emphasis on the spatial dependence relation among the regions.

Highlights

  • Epidemiological and criminal statistics show that social violence in Brazil has reached unprecedented magnitude and intensity, even higher than observed in some war zones

  • According to Rolim (2007), the seriousness of the phenomena of violence and criminality in Brazil, with the emergence of unexpected situations capable of putting entire cities at risk, such as the terrorist practices constructed by the PCC in São Paulo, or by groups organized in Rio de Janeiro, it has not, allowed the offer of new and more effective responses in terms of public security policies

  • The proposed procedure presents a hierarchical architecture of the problem, in a combination of blocks of inference that uses fuzzy rule based on linguistic expressions, for each variable to be expressed by means of a value

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Summary

Introduction

Epidemiological and criminal statistics show that social violence in Brazil has reached unprecedented magnitude and intensity, even higher than observed in some war zones (de Souza & de Lima, 2006). This article analyzes the resilience and vulnerability of public transport against crimes reported to the police in 21 administrative regions of the city of Rio de Janeiro, based on fuzzy logic.

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