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Measuring energy efficiency of the public passenger road transport vehicles in Nigeria

Author

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  • Okafor, Izuchukwu Francis
  • Unachukwu, Godwin Ogechi
  • Odukwe, Anthony Okay

Abstract

Road transport sector in Nigeria is one of the greatest areas of challenge for energy efficiency due to increasing energy consumption in this sector. This work measured the energy efficiency of the sample vehicles commonly used for public passenger transport in Nigeria powered by petrol engines and diesel engines, for a period of four months. The sample vehicles operate from Onitsha in Anambra State, Nigeria, to different parts of the country. The average energy efficiency of the sample vehicles powered by petrol engines was measured to be 0.474MJ/seat-km, while that powered by diesel engines was measured to be 0.269MJ/seat-km. This work also developed models for estimating the energy efficiency of the sample vehicles using statistical regression techniques performed on SPSS version 15.0. The goodness of fit of the model for the vehicles powered by petrol engines gave 88.6%, while that of the vehicles powered by diesel engines gave 83.6%. The models were quite simplified and do not require complex data, which could lead to underestimating vehicle fuel consumption.

Suggested Citation

  • Okafor, Izuchukwu Francis & Unachukwu, Godwin Ogechi & Odukwe, Anthony Okay, 2014. "Measuring energy efficiency of the public passenger road transport vehicles in Nigeria," Transport Policy, Elsevier, vol. 35(C), pages 319-325.
    • Handle: RePEc:eee:trapol:v:35:y:2014:i:c:p:319-325
    DOI: 10.1016/j.tranpol.2014.05.014
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    Cited by:

    1. Elżbieta Szaruga & Bartosz Pilecki & Marta Sidorkiewicz, 2023. "The Impact of the COVID-19 Pandemic, Transport Accessibility, and Accommodation Accessibility on the Energy Intensity of Public Tourist Transport," Energies, MDPI, vol. 16(19), pages 1-27, October.
    2. Han Hao & Feiqi Liu & Zongwei Liu & Fuquan Zhao, 2017. "Measuring Energy Efficiency in China’s Transport Sector," Energies, MDPI, vol. 10(5), pages 1-18, May.
    3. Carrese, Stefano & Cuneo, Valerio & Nigro, Marialisa & Pizzuti, Raffaele & Ardito, Cosimo Federico & Marseglia, Guido, 2022. "Optimization of downstream fuel logistics based on road infrastructure conditions and exposure to accident events," Transport Policy, Elsevier, vol. 124(C), pages 96-105.
    4. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.

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