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A study on the fuel-consumption characteristics of public buses

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  • Ang, B.W.
  • Fwa, T.F.

Abstract

Using the regression technique, we have studied the fuel-consumption characteristics of a fleet of public buses under actual operating conditions. The fuel consumption was measured on a daily basis and the effects of the service routes, vehicle models, engine overhaul, vehicle speed and loads, number of stops, and other factors were established statistically. The analysis shows that service routes and vehicle models had a significant influence on fuel efficiency, and that the average travel speed and loaded weight together could be used to explain up to two-thirds of the variations in fuel efficiency. We also show indirectly that a significant portion of the efficiency variations is attributable to driver behavior and the daily scheduled times of the buses. Based on our results, we estimate the differences in the vehicle fuel efficiency between peak and non-peak operations.

Suggested Citation

  • Ang, B.W. & Fwa, T.F., 1989. "A study on the fuel-consumption characteristics of public buses," Energy, Elsevier, vol. 14(12), pages 797-803.
    • Handle: RePEc:eee:energy:v:14:y:1989:i:12:p:797-803
    DOI: 10.1016/0360-5442(89)90033-9
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    Cited by:

    1. Correa, G. & Muñoz, P. & Falaguerra, T. & Rodriguez, C.R., 2017. "Performance comparison of conventional, hybrid, hydrogen and electric urban buses using well to wheel analysis," Energy, Elsevier, vol. 141(C), pages 537-549.
    2. Saxe, M. & Folkesson, A. & Alvfors, P., 2008. "Energy system analysis of the fuel cell buses operated in the project: Clean Urban Transport for Europe," Energy, Elsevier, vol. 33(5), pages 689-711.
    3. Gallet, Marc & Massier, Tobias & Hamacher, Thomas, 2018. "Estimation of the energy demand of electric buses based on real-world data for large-scale public transport networks," Applied Energy, Elsevier, vol. 230(C), pages 344-356.
    4. Chih-Chao Chung & Yuh-Ming Cheng & Ru-Chu Shih & Shi-Jer Lou, 2019. "Research on the Learning Effect of the Positive Emotions of "Ship Fuel-Saving Project" APP for Engineering Students," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
    5. Zhou, Wenhui & Zheng, Zhibin & Xie, Wei, 2017. "A control-chart-based queueing approach for service facility maintenance with energy-delay tradeoff," European Journal of Operational Research, Elsevier, vol. 261(2), pages 613-625.

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