2019
DOI: 10.1080/15568318.2018.1518500
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Multiobjective optimization of transit bus fleets with alternative fuel options: The case of Joinville, Brazil

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Cited by 4 publications
(3 citation statements)
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“…A literature review related to the future of transportation in sustainable energy systems is presented in [28] which also traces the importance of electric modes of transportation to promote the largest benefits in the transport transition. A multiobjective optimization model was developed by [29] with a particular focus on finding the most efficient bus fleet combination for a city located in the South region of Brazil. The authors pointed out the electrical bus as the best choice for reducing greenhouse gas emissions among the other analyzed alternatives.…”
Section: Electric Vehicles (Evs)mentioning
confidence: 99%
“…A literature review related to the future of transportation in sustainable energy systems is presented in [28] which also traces the importance of electric modes of transportation to promote the largest benefits in the transport transition. A multiobjective optimization model was developed by [29] with a particular focus on finding the most efficient bus fleet combination for a city located in the South region of Brazil. The authors pointed out the electrical bus as the best choice for reducing greenhouse gas emissions among the other analyzed alternatives.…”
Section: Electric Vehicles (Evs)mentioning
confidence: 99%
“…Moreover, considering the US practice, which states that bus must remain operational for at least twelve years to qualify for federal funds [32], shows just how much the operability depends on the maintaining quality. Therefore, under the pressure of budget constraints, the agencies road design [69], way of ticketing [70,71], platform issues [10,51], headway regularity [72], emission [73], and special events [74]. All of the factors affect mobility managers' optimisation and scheduling whether they are Bus Rapid Transit (BRT) [75,76] roadways, trolley fixed roadways [77], or conventional infrastructures.…”
Section: Bus Fleet Asset Management (Bfam) Realmmentioning
confidence: 99%
“…Together with environmental, various papers dealt with the economic aspects of investment in urban transport decarbonisation. For instance, [16] presented a multi-objective optimization model to find efficient bus fleet combinations taking into account GHG emissions, conventional air pollutant emissions, and costs. Heating and the thermal management of the urban electric buses were the subjects of research in [17].…”
Section: Introductionmentioning
confidence: 99%