Transport Sustainability Index: An Application Multicriteria Analysis

Rodrigo Rodrigues de Freitas (), Joyce Azevedo Caetano, Cintia Machado de Oliveira, Felipe do Carmo Amorim and Marcio Antelio Neves da Silva
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Rodrigo Rodrigues de Freitas: Production Engineering Program, Federal Center of Technological Education Celso Suckow da Fonseca CEFET/RJ, Rio de Janeiro 20080-003, Brazil
Joyce Azevedo Caetano: Transport Engineering Program COPPE/UFRJ, Federal University of Rio de Janeiro, Rio de Janeiro 20080-003, Brazil
Cintia Machado de Oliveira: Logistics Department, Federal Center of Technological Education Celso Suckow da Fonseca CEFET/RJ, Rio de Janeiro 20080-003, Brazil
Felipe do Carmo Amorim: Department of Mechanical Engineering, Federal Center of Technological Education Celso Suckow da Fonseca CEFET/RJ, Rio de Janeiro 20080-003, Brazil
Marcio Antelio Neves da Silva: Department of Mechanical Engineering, Federal Center of Technological Education Celso Suckow da Fonseca CEFET/RJ, Rio de Janeiro 20080-003, Brazil

Energies, 2022, vol. 15, issue 20, 1-14

Abstract: The unrestricted consumption of fossil fuels negatively impacts the economic, social and environmental aspects, observed from a sustainable perspective. Therefore, it is necessary to develop and adopt skills that enable the monitoring and mitigation of risks to the environment. In view of this, we propose a method with multiple approaches emphasizing a three-dimensional perspective of energy consumption by diesel engines, which represent one of the main pollutants emitters in transport. As a methodology, fuzzy logic was adopted, together with a recognition system, in order to mitigate the uncertainties inherent to the applied data. The procedure was applied to the city of Rio de Janeiro, Brazil, with information collected from seven toll plazas and a radar with volumetric counting. The results indicate a good adherence of the sustainability index to real cases, allowing a better observation of changes in environmental criteria and a more efficient inspection in the application of good practices, in addition to enabling greater participation of society in the inspection and adoption of environmental criteria in transport.

Keywords: sustainable transport; sustainability index; recognition system; fuzzy logic; diesel (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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