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Road Transport Energy Consumption and Vehicular Emissions in Lagos, Nigeria

Author

Listed:
  • Monica Maduekwe

    (Praia, Cabo Verde)

  • Uduak Akpan

    (SPIDER) Solutions Nigeria, Uyo, Nigeria)

  • Salisu Isihak

    (Rural Electrification Agency, Abuja, Nigeria)

Abstract

The “Avoid†, “Shift†and “Improve†(A-S-I) approach is an effective method for transforming an unsustainable transport system to a sustainable one. This study intends to examine the possible impact of the A-S-I policy measures in transforming the transportation system in Lagos - the most populous city and the commercial capital of Nigeria. The study employs the Long Range Energy Alternative Planning (LEAP) model to project future energy demand and greenhouse gas emissions to determine the most effective A-S-I option for the city. We construct a business-as-usual scenario for Lagos as well as sustainable road transport alternative policy scenarios. The results show that Lagos’ biggest obstacle to achieving its emission reduction target is the presence of very old vehicles on its roads. Our analysis shows that emission reduction in the road transport sector in Lagos is sensitive to vehicle survivability rate (i.e. the fraction of vehicles of a certain age still driven). We conclude that unless the age limit of vehicles in Lagos reduces from 40 years to 22 years, vehicle growth rate from 5% to 2% and mileage by 2% per year from 2020- 2032, Lagos may not achieve the target 50% emission reduction by 2032.

Suggested Citation

  • Monica Maduekwe & Uduak Akpan & Salisu Isihak, 2020. "Road Transport Energy Consumption and Vehicular Emissions in Lagos, Nigeria," Working Papers 20/055, European Xtramile Centre of African Studies (EXCAS).
  • Handle: RePEc:exs:wpaper:20/055
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    as
    1. Pukšec, Tomislav & Krajačić, Goran & Lulić, Zoran & Mathiesen, Brian Vad & Duić, Neven, 2013. "Forecasting long-term energy demand of Croatian transport sector," Energy, Elsevier, vol. 57(C), pages 169-176.
    2. Emodi, Nnaemeka Vincent & Emodi, Chinenye Comfort & Murthy, Girish Panchakshara & Emodi, Adaeze Saratu Augusta, 2017. "Energy policy for low carbon development in Nigeria: A LEAP model application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 247-261.
    3. Salil Arora & Anant Vyas & Larry R. Johnson, 2011. "Projections of highway vehicle population, energy demand, and CO2 emissions in India to 2040," Natural Resources Forum, Blackwell Publishing, vol. 35(1), pages 49-62, February.
    4. Uduak Akpan, 2014. "Impact of Regional Road Infrastructure Improvement on Intra-Regional Trade in ECOWAS," African Development Review, African Development Bank, vol. 26(S1), pages 64-76, November.
    5. Sadri, A. & Ardehali, M.M. & Amirnekooei, K., 2014. "General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN," Energy, Elsevier, vol. 77(C), pages 831-843.
    6. Singh, Sanjay Kumar, 2006. "Future mobility in India: Implications for energy demand and CO2 emission," Transport Policy, Elsevier, vol. 13(5), pages 398-412, September.
    7. Ohimain, Elijah Ige, 2013. "A review of the Nigerian biofuel policy and incentives (2007)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 246-256.
    8. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    9. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    10. Salil Arora & Anant Vyas & Larry R. Johnson, 2011. "Projections of highway vehicle population, energy demand, and CO 2 emissions in India to 2040," Natural Resources Forum, Blackwell Publishing, vol. 35, pages 49-62, February.
    11. Mraihi, Rafaa & ben Abdallah, Khaled & Abid, Mehdi, 2013. "Road transport-related energy consumption: Analysis of driving factors in Tunisia," Energy Policy, Elsevier, vol. 62(C), pages 247-253.
    12. Limanond, Thirayoot & Jomnonkwao, Sajjakaj & Srikaew, Artit, 2011. "Projection of future transport energy demand of Thailand," Energy Policy, Elsevier, vol. 39(5), pages 2754-2763, May.
    13. Chavez-Baeza, Carlos & Sheinbaum-Pardo, Claudia, 2014. "Sustainable passenger road transport scenarios to reduce fuel consumption, air pollutants and GHG (greenhouse gas) emissions in the Mexico City Metropolitan Area," Energy, Elsevier, vol. 66(C), pages 624-634.
    14. Dhakal, Shobhakar, 2003. "Implications of transportation policies on energy and environment in Kathmandu Valley, Nepal," Energy Policy, Elsevier, vol. 31(14), pages 1493-1507, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. El-Sayed, Ahmed Hassan A. & Khalil, Adel & Yehia, Mohamed, 2023. "Modeling alternative scenarios for Egypt 2050 energy mix based on LEAP analysis," Energy, Elsevier, vol. 266(C).
    3. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    4. Sovacool, Benjamin K. & Daniels, Chux & AbdulRafiu, Abbas, 2022. "Transitioning to electrified, automated and shared mobility in an African context: A comparative review of Johannesburg, Kigali, Lagos and Nairobi," Journal of Transport Geography, Elsevier, vol. 98(C).
    5. Olasupo O. Ajayi & Antoine B. Bagula & Hloniphani C. Maluleke & Isaac A. Odun-Ayo, 2021. "Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape," Sustainability, MDPI, vol. 13(22), pages 1-29, November.
    6. Zuzanna Kłos-Adamkiewicz & Elżbieta Szaruga & Agnieszka Gozdek & Magdalena Kogut-Jaworska, 2023. "Links between the Energy Intensity of Public Urban Transport, Regional Economic Growth and Urbanisation: The Case of Poland," Energies, MDPI, vol. 16(9), pages 1-25, April.
    7. Chiriboga, Gonzalo & Chamba, Rommel & Garcia, Andrés & Heredia-Fonseca, Roberto & Montero- Calderón, Carolina & Carvajal C, Ghem, 2023. "Useful energy is a meaningful approach to building the decarbonization: A case of study of the Ecuadorian transport sector," Transport Policy, Elsevier, vol. 132(C), pages 76-87.

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    Keywords

    Road transport; energy consumption; greenhouse gas emissions; LEAP; Lagos; Nigeria;
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