Communications - Scientific Letters of the University of Zilina 2023, 25(1):A1-A13 | DOI: 10.26552/com.C.2023.006
Grey Model Analysis of Vehicle Population, Road Transport Energy Consumption and Vehicular Emissions
- 1 Department of Mechanical Engineering, Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria
- 2 Energy, Exergy and Environment Research Group (EEERG), Department of Mechanical Engineering, Michael Okpara University of Agriculture Umudike, Umuahia, Nigeria
This study employs the grey models to explore Nigeria’s road transport energy consumption, vehicle population and vehicular emissions. The vehicular emissions were evaluated using the European Environment Agency Tier 1 Approach, based on the fuel consumption. A baseline scenario, based on historical data and three other alternative scenarios were developed. The study considered fuel quality, vehicle technology and survival rates as the key drivers of scenario formulation. Results show that vehicle population increases by about 3.58 % annually from 12.9 million units in 2018 to 38.5 million in 2050. Analysis of the alternative pathways reveals that their adoption would significantly reduce road transport energy consumption and air pollutant emissions.
Keywords: road transport, energy consumption, air pollutant emissions, vehicle survival rate
Grants and funding:
The authors received no financial support for the research, authorship, and/or publication of this article.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Received: July 18, 2022; Accepted: November 4, 2022; Prepublished online: November 29, 2022; Published: January 25, 2023 Show citation
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References
- OTUOZE, S., HUNT, D., JEFFERSON, I. Neural network approach to modelling transport system resilience for major cities: case studies of Lagos and Kano (Nigeria). Sustainability [online]. 2021, 13(3), 1371. eISSN 2071-1050. Available from: https://doi.org/10.3390/su13031371
Go to original source...
- NWAFOR, M. E., ONYA, O. V. Road transportation service in Nigeria: problems and prospects. Advance Journal of Economics and Marketing Research [online]. 2019, 4(3) p. 104-115. ISSN 2271-6239. Available from: https://aspjournals.org/ajemr/index.php/ajemr/article/view/1
- Energy Balance for Nigeria (2017). International Energy Agency (IEA), 2019.
- BADMUS, I., OSUNLEKE, A. S., FAGBENLE, R. O., OYEWOLA, M. O. Energy and exergy analyses of the Nigerian transportation sector from 1980 to 2010. International Journal of Energy and Environmental Engineering [online]. 2012, 3(23). ISSN 2008-9163, eISSN 2251-6832. Available from: https://doi.org/10.1186/2251-6832-3-23
Go to original source...
- DIOHA, M. O., KUMAR, A. Sustainable energy pathways for land transport in Nigeria. Utilities Policy [online]. 2020, 64, 101034. ISSN 0957-1787. Available from: https://doi.org/10.1016/j.jup.2020.101034
Go to original source...
- An infrastructure action plan for Nigeria: closing the infrastructure gap and accelerating economic transformation - African Development Bank Group [online] [accessed 2022-04-27]. 2013. Available from: https://www.afdb.org/en/documents/document/an-infrastructure-action-plan-for-nigeria-closing-the-infrastructure-gap-and-accelerating-economic-transformation-33031.
- EZENWA, A. O. Trends and characteristics of road traffic accidents in Nigeria. Journal of the Royal Society of Health [online]. 1986, 106(1), p. 27-29. ISSN 1757-9139, eISSN 1757-9147. Available from: https://doi.org/10.1177/146642408610600111
Go to original source...
- ADEPOJU, O. O. Analysis of road transportation infrastructure construction and maintenance for sustainable development in South-Western Nigeria. Journal of Sustainable Development of Transport and Logistics [online]. 2021, 6(1), p. 49-58. ISSN 2520-2979. Available from: https://dx.doi.org/10.14254/jsdtl.2021.6-1.4
Go to original source...
- OROLEYE, A. K. Appraisal of road transport policy reform in Nigeria: a case of infrastructural deficit. Journal of Governance and Public Policy [online]. 2019, 6(3), p. 216-235. ISSN 2549-7669. Available from: https://doi.org/10.18196/jgpp.63110
Go to original source...
- MILLER, J. Costs and benefits of soot-free road transport in Nigeria [online] [accessed 2022-04-29]. 2019. Available from: https://theicct.org/publication/costs-and-benefits-of-soot-free-road-transport-in-nigeria/
- MADUEKWE, M., AKPAN, U., ISIHAK, S. Road transport energy consumption and vehicular emissions in Lagos, Nigeria: an application of the LEAP model. Transportation Research Interdisciplinary Perspectives [online]. 2020, 6, 100172. ISSN 2590-1982. Available from: http://dx.doi.org/10.1016/j.trip.2020.100172
Go to original source...
- West African Ministers adopt cleaner fuels and vehicles standards - CCAC [online] [accessed 2022-05-20]. 2020. Available from: https://www.ccacoalition.org/en/news/west-african-ministers-adopt-cleaner-fuels-and-vehicles-standards
- OFIKHENUA, J. Vehicle dealers move against ECOWAS vehicle emission standard [online] [accessed 2022-05-23]. 2020 Available from: https://thenationonlineng.net/vehicle-dealers-move-against-ecowas-vehicle-emission-standards/amp/
- ALIOGO, U. Examining proposed ECOWAS vehicle emission policy [online] [accessed 2022-05-23]. 2020. Available from: https://www.thisdaylive.com/index.php/2020/12/31/examining-proposed-ecowas-vehicle-emission-policy/
- ABAM, F. I., EKWE, B. E., DIEMUODEKE, O. E., OFEM, M. I., OKON, B. B., KADURUMBA, C. H., ARCHIBONG-ESO, A., EFFIOM, S. O., EGBE, J., UKUEJE, W. E. Environmental sustainability of the Nigeria transport sector through decomposition and decoupling analysis with future framework for sustainable transport pathways. Energy Reports [online]. 2021, 7, p. 3238-3248. ISSN 2352-4847. Available from: https://doi.org/10.1016/j.egyr.2021.05.044
Go to original source...
- GUJBA, H., MULUGETTA, Y., AZAPAGIC, A. Passenger transport in Nigeria: environmental and economic analysis with policy recommendations. Energy Policy [online]. 2013, 55, p. 353-361. ISSN 0301-4215. Available from: http://dx.doi.org/10.1016/j.enpol.2012.12.017
Go to original source...
- UKONZE, F. I., NWACHUKWU, M. U., MBA, H. C., OKEKE, D. C. JIBURUM, U. Determinants of vehicle ownership in Nigeria. SAGE Open [online]. 2020, 10(2). ISSN 2158-2440, eISSN 2158-2440. Available from: https://doi.org/10.1177/2158244020922970
Go to original source...
- KOLLI, Z., DUPONT-KIEFFER, A., HIVERT, L. Car survival in a national fleet: a non-parametric approach based on French data. In: 12th World Conference on Transport Research: proceedings [online]. 2010. Available from: https://hal.archives-ouvertes.fr/hal-00614977
- HAMILTON, B., MACAULEY, M. Heredity or environment: why is automobile longevity increasing? Journal of Industrial Economics [online]. 1999, 47(3), p. 251-261. ISSN 0022-1821. Available from: http://www.jstor.org/stable/117513
Go to original source...
- CHOO, S., MOKHTARIAN, P. What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transportation Research Part A [online]. 2004, 38(3), p. 201-222. ISSN 0965-8564. Available from: https://doi.org/10.1016/j.tra.2003.10.005
Go to original source...
- ZACHARIADIS, T., NTZIACHRISTOS, L., SAMARAS, Z. The effect of age and technological change on motor vehicle emissions. Transportation Research Part D [online]. 2001, 6, p. 221-227. ISSN 1361-9209. Available from: https://doi.org/10.1016/S1361-9209(00)00025-0 [22] SHABBIR, R., AHMAD, S. Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using LEAP model. Energy [online]. 2010, 35(5), p. 2323-2332. ISSN 0360-5442. Available from: https://doi.org/10.1016/j.energy.2010.02.025
Go to original source...
- [23] EMODI, N. V., EMODI, C., MURTHY, G. P., EMODI, A. S. A. Energy policy for low carbon development in Nigeria: a LEAP model application. Renewable Energy and Sustainable Energy Reviews [online]. 2017, 68(1), p. 247-261. ISSN 1364-0321. Available from: https://doi.org/10.1016/j.rser.2016.09.118
Go to original source...
- [24] VAILLANCOURT, K., LABRIET, M., LOULOU, R., WAUB, J. The Role of nuclear energy in long-term climate scenarios: an analysis with the World-TIMES model. Energy Policy [online]. 2008, 36(7), p. 2296-2307. ISSN 0301-4215. Available from: https://doi.org/10.1016/j.enpol.2008.01.015
Go to original source...
- [25] LIMANOND, T., JOMNONKWAO, S., SRIKAEW, A. Projection of future transport energy demand in Thailand. Energy Policy [online]. 2011, 39, p. 2754-2763. ISSN 0301-4215. Available from: https://doi.org/10.1016/j.enpol.2011.02.045 [26] MURAT, Y. S., CEYLAN, H. Use of artificial neural networks for transport energy demand modelling. Energy Policy [online]. 2006, 34(7), p. 3165-3172. ISSN 0301-4215. Available from: https://doi.org/10.1016/j.enpol.2005.02.010
Go to original source...
- [27] POLEMIS, M. L. Empirical assessment of the determinants of road energy demand in Greece. Energy Economics [online]. 2006, 28, p. 385-403. ISSN 0140-9883. Available from: https://doi.org/10.1016/j.eneco.2006.01.007
Go to original source...
- [28] JU-LONG, D. Control problems of grey systems. Systems and Control Letters [online]. 1982, 1(5), p. 288-294. ISSN 0167-6911. Available from: http://dx.doi.org/10.1016/S0167-6911(82)80025-X
Go to original source...
- [29] QIAO, Z., MENG, X., WU, L. Forecasting carbon dioxide emissions in APEC member countries by a new cumulative grey model. Ecological Indicators [online]. 2021, 125, 107593. ISSN 1470-160X. Available from: https://doi.org/10.1016/j.ecolind.2021.107593
Go to original source...
- [30] ZHOU, W., WU, X., DING, S., PAN, J. Application of a novel discrete grey model for forecasting natural gas consumption. Energy [online]. 2020, 200, 117443. ISSN 0360-5442. Available from: https://doi.org/10.1016/j.energy.2020.117443
Go to original source...
- [31] ANJUM, M., SHAHAB, S., UMAR, M. S. Application of modified grey forecasting model to predict the municipal solid waste generation using MLP and MLE. International Journal of Mathematical, Engineering and Management Sciences [online]. 2021 6(5), p. 1276-1296. Available from: https://doi.org/10.33889/IJMEMS.2021.6.5.077
Go to original source...
- [32] JAVED, S. A., ZHU, B., LIU, L. Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model. Journal of Cleaner Production [online]. 2020, 276, 123997. ISSN 0959-6526. Available from: https://doi.org/10.1016/j.jclepro.2020.123997
Go to original source...
- [33] LI, K., ZHANG, T. Forecasting electricity consumption using an improved grey prediction model. Information [online]. 2018, 9(8), 204. Available from: https://doi.org/10.3390/info9080204
Go to original source...
- [34] DING, S., HIPEL, K. W., DANG, Y. Forecasting China's electricity consumption using a new grey prediction model. Energy [online]. 2018, 149, p. 314-328. ISSN 0360-5442. Available from: https://doi.org/10.1016/j.energy.2018.01.169
Go to original source...
- [35] LI, S. H., WU, N. A., HUANG, R. Q., XU, Q. A new grey prediction model and its application in landslide displacement prediction. Applied Soft Computing [online]. 2020, 95, 106543. ISSN 1568-4946. Available from: https://doi.org/10.1016/j.asoc.2020.106543 [36] ZHAO, X., LI, H., DING, L., WANG, W., XUE, Y. (2020). Forecasting direct economic losses of marine disasters in China based on a novel combined model. International Journal of Disaster Risk Reduction [online]. 2020, 51, 101921. ISSN 2212-4209. Available from: https://doi.org/10.1016/j.ijdrr.2020.101921 [37] LIU, S., LIN, Y. Grey systems: theory and applications. In: Understanding complex systems. Berlin Heidelberg: Springer-Verlag, 2010. ISBN 978-3-642-16157-5.
Go to original source...
- [38] LI, S., CHEN, Y., DONG, R. A novel optimized grey model with quadratic polynomials term and its application. Chaos, Solitons and Fractals: X [online]. 2022, 8, 100074. ISSN 2590-0544. Available from: https://doi.org/10.1016/j.csfx.2022.100074 [39] NTZIACHRISTOS, L., SAMARAS, Z. EMEP/EEA air pollutant emission inventory guidebook 2019 [online] [accessed 2022-05-22]. 2021.Available from: https://www.eea.europa.eu/themes/air/air-pollution-sources-1/emep-eea-air-pollutant-emission-inventory-guiedbook/emep
Go to original source...
- [40] LIU, S., LIN, Y. Grey information: theory and applications. In Advanced information and knowledge processing. JAIN, L., WU, X. (eds.). London: Springer-Verlag, 2006. ISBN 978-185233-995-1.
- [41] LUND, H., THELLUFSEN, J. Z., OSTERGAARD, P. A., SORKNAES, P., SKOV, I. R., VAD MATHIESEN, B. EnergyPLAN - advanced analysis of smart energy systems. Smart Energy [online]. 2021, 1, 100007. ISSN 2666-9552. Available from: https://doi.org/10.1016/j.segy.2021.100007
Go to original source...
- [42] OGUCHI, M., FUSE, M. Regional and longitudinal estimation of product lifespan distribution: a case study for automobiles and a simplified estimation method. Environmental Science and Technology [online]. 2015, 49(3), p. 1738-1743. ISSN 0013-936X, eISSN 1520-5851. Available from: https//doi.org/10.1021/es505245q
Go to original source...
- [43] HELD, M., ROSAT, N., GEORGES, G., PENGG, H., BOULOUCHOS, K. Lifespans of passenger cars in Europe: empirical modelling of fleet turnover dynamics. European Transport Research Review [online]. 2021, 13, 9. eISSN 1866-8887. Available from: https://doi.org/10.1186/s12544-020-00464-0
Go to original source...
- [44] Africa's next Automotive Hub - pwC Nigeria [online] [accessed 2022-06-24]. 2016. Available from: https://www.pwc.com/ng/en/publications/africas-next-automotive-hub.html
- [45] CERVIGNI, R., ROGERS, J. A., DVORAK, I. (eds.). Assessing low-carbon development in Nigeria: an analysis of four sectors. World Bank study. Washington, DC: World Bank, 2013. ISBN 978-0-8213-9973-6.
Go to original source...
- [46] AGBONKHESE, O., YISA, G. L., AKANBI, D. O., AKA, E. O., MONDIGHA, E. B. Road traffic accidents in Nigeria: causes and preventive measures. Civil and Environmental Research [online]. 2013, 3(13), p. 90-99. ISSN 2224-5790. Available from: https://www.iiste.org/Journals/index.php/CER/article/view/9369/9590
- [47] Road transport data - National Bureau of Statistics [online] [accessed 2022-06-01]. 2022. Available from: https://nigerianstat.gov.ng/elibrary.
- [48] Number and categories vehicles in Nigeria using number plates production data from 1993 to 2020. Federal Road Safety Corps (FRSC), Motor Vehicle Administration Department, 2022.
- [49] ZAMBANG, M., JIANG, H., WAHAB, L. Determinants of vehicle ownership in Greater Tamale Area, Ghana. Transport Research Record [online]. 2020, 2674(12). ISSN 0361-1981, eISSN 2169-4052. Available from: https://doi.org/10.1177/0361198120947714
Go to original source...
- [50] Road Transport Data (Q2 2018) - National Bureau of Statistics [online] [accessed 2022-07-04]. 2018. Available from: https://nigerianstat.gov.ng/elibrary/read/813
- [51] TISEO, I. Road transportation carbon dioxide emissions worldwide in 2018, by country [online] [accessed 2022-06-18]. 2022. Available from: https://www.statista.com/statistics/1201189/road-transport-sector-co2-emissions-worldwide-by-country/
- [52] AGBO, C. O. A. Policy and the quest for a viable automotive industry: a lesson for the developing economies. Journal of Science and Technology Management Policy [online]. 2020, 11(4), p. 583-603. ISSN 2053-4620. Available from: https://www.doi.org/10.1108/JSTPM-07-2019-0073
Go to original source...
- [53] CHEN, Y. I. Y. S., UKAEJIOFO, R. U., XIAOYANG, T., BRAUTIGAM, D. Learning from China? Manufacturing, investment and technology transfer in Nigeria. Working paper 2. Washington, DC: China Africa Research Initiative, School of Advanced International Studies, Johns Hopkins University, 2016.
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