2015
DOI: 10.1016/j.trd.2015.04.003
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Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?

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Cited by 30 publications
(9 citation statements)
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References 22 publications
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“…Energy efficiency in buses is discussed by de Abreu e Silva et al (2015), where factors affecting the energy efficiency in buses operating in Lisbon are explored using regression models. The authors conclude that the main factors affecting energy efficiency are vehicle types, speed and driving conditions (terrain and routes).…”
Section: Literature Review and Analytical Approachmentioning
confidence: 99%
“…Energy efficiency in buses is discussed by de Abreu e Silva et al (2015), where factors affecting the energy efficiency in buses operating in Lisbon are explored using regression models. The authors conclude that the main factors affecting energy efficiency are vehicle types, speed and driving conditions (terrain and routes).…”
Section: Literature Review and Analytical Approachmentioning
confidence: 99%
“…Interpreting the results, it seems that the higher average speed results in higher consumption (Fig. V), even though it should be the opposite according de Abreu e Silva et al [5]. This inconsistency stems from the fact that only mechanical energy is considered in the comparison and the fuel consumption while idling is neglected.…”
Section: Discussionmentioning
confidence: 84%
“…The acceleration jerks are major cause of energy demand variation [3], while the average speed has little effect on battery electric vehicle (BEV) consumption on urban city cycles [4]. However, if the average speed is lowered due to increased number of stops, the energy demand is increased [5]. Aggressive accelerations can account for 10-20 % of fuel consumption increase in urban city buses.…”
Section: State-of-the-artmentioning
confidence: 99%
“…Authors in [20] explain how the models resulting after using this method only include the variables that best explain the distribution of the dependent variable, according to their statistical significance (≤0.05) and efficiency (increase in the r − squared and the F − statistic above a predefined threshold).…”
Section: Methodsmentioning
confidence: 99%