CRFM: An application of the fuzzy logic in apell programme

Cosenza, Carlos Alberto Nunes; Sandres, G.; Souza, Paulo Renato; Siggete, E.

doi:10.2495/safe-v6-n1-63-72

Cited by 3 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic is a useful tool to resolve complex problems, given its ability to infer conclusions and produce responses based on ambiguity and/or qualitative, incomplete or imprecise information (Cosenza et al, 2016).…”

Section: Methodological Proceduresmentioning

confidence: 99%

Violence in Public Transport: An Analysis of Resilience and Vulnerability in the City of Rio de Janeiro

Cardoso

Santos

Silva

2021

urbe, Rev. Bras. Gest. Urbana

View full text Add to dashboard Cite

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.

show abstract

Section: Methodological Proceduresmentioning

confidence: 99%

Violence in Public Transport: An Analysis of Resilience and Vulnerability in the City of Rio de Janeiro

Cardoso

Santos

Silva

2021

urbe, Rev. Bras. Gest. Urbana

View full text Add to dashboard Cite

show abstract

“…Fuzzy logic is a powerful tool, used to solve complex problems, due to its ability to infer conclusions and produce answers based on vague, ambiguous, and/or qualitatively incomplete or inaccurate information [50,51]. As such, it is a useful tool for dealing with decisions in which the phenomenon is imprecise and vague [52].…”

Section: Fuzzy System Modellingmentioning

confidence: 99%

Resilience and Vulnerability of Public Transportation Fare Systems: The Case of the City of Rio De Janeiro, Brazil

et al. 2020

View full text Add to dashboard Cite

Resilience is the ability of a system to adapt, persist, and transform as a reaction to threats, which may be external or internal to the system, while vulnerability is the state of being susceptible to harm from exposure to stresses associated with environmental and social change and from the inability to adapt. Based on a study of the threats that can affect urban mobility, we identified a gap regarding the analysis of the levels of resilience and vulnerability in the face of subsidy threats that can severely affect developing countries. This article measures the level of resilience and vulnerability due to the absence of public transport fare subsidies. For this purpose, we developed an approach based on fuzzy logic and applied it in 33 administrative regions (ARs) of the city of Rio de Janeiro, Brazil. We obtained four matrices of the levels of vulnerability and resilience of each of the regions as an origin and destination. The results show that areas nearest to the downtown region and those with high-capacity transportation available (commuter train and/or subway, systems with many transfer points) are more resilient, while a high level of vulnerability is associated with low income, negative socioeconomic indicators, and the predominance of road transportation to reach jobs. The contribution of this paper is the method applied to analyse the levels of vulnerability and resilience of public transport, which includes a threat that can cause a rupture that impacts routines and job accessibility in a region.

show abstract