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Application of a Adaptive Neuro-Fuzzy Technique for Projection of the Greenhouse Gas Emissions from Road Transportation

Author

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  • Reham Alhindawi

    (School of Engineering, RMIT University, Melbourne 3053, Australia)

  • Yousef Abu Nahleh

    (College of Engineering and Technology, American University of the Middle East, Kuwait)

  • Arun Kumar

    (School of Engineering, RMIT University, Melbourne 3053, Australia)

  • Nirajan Shiwakoti

    (School of Engineering, RMIT University, Melbourne 3053, Australia)

Abstract

In the past, different forecasting models have been proposed to predict greenhouse gas (GHG) emissions. However, most of these models are unable to handle non-linear data. One of the most widely known techniques, the Adaptive Neuro-fuzzy inference system (ANFIS), can deal with nonlinear data. Its ability to predict GHG emissions from road transportation is still unexplored. This study aims to fulfil that gap by adapting the ANFIS model to predict GHG emissions from road transportation by using the ratio between vehicle-kilometers and number of transportation vehicles for six transportation modes (passenger cars, motorcycle, light trucks, single-unit trucks, tractors, and buses) from the North American Transportation Statistics (NATS) online database over a period of 22 years. The results show that ANFIS is a suitable method to forecast GHG emissions from the road transportation sector.

Suggested Citation

  • Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2019. "Application of a Adaptive Neuro-Fuzzy Technique for Projection of the Greenhouse Gas Emissions from Road Transportation," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6346-:d:286163
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    as
    1. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    2. Bai, Hsunling & Wei, Jong-Hourm, 1996. "The CO2 mitigation options for the electric sector. A case study of Taiwan," Energy Policy, Elsevier, vol. 24(3), pages 221-228, March.
    3. Lee Lian Ivy-Yap & Hussain Ali Bekhet, 2015. "Examining the Feedback Response of Residential Electricity Consumption towards Changes in its Determinants: Evidence from Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 772-781.
    4. Meyer, I. & Leimbach, M. & Jaeger, C.C., 2007. "International passenger transport and climate change: A sector analysis in car demand and associated CO2 emissions from 2000 to 2050," Energy Policy, Elsevier, vol. 35(12), pages 6332-6345, December.
    5. Lu, I.J. & Lewis, Charles & Lin, Sue J., 2009. "The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector," Energy Policy, Elsevier, vol. 37(8), pages 2952-2961, August.
    6. Ang, James B., 2008. "Economic development, pollutant emissions and energy consumption in Malaysia," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 271-278.
    7. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    8. He, Ling-Yun & Chen, Yu, 2013. "Thou shalt drive electric and hybrid vehicles: Scenario analysis on energy saving and emission mitigation for road transportation sector in China," Transport Policy, Elsevier, vol. 25(C), pages 30-40.
    9. Motasemi, F. & Afzal, Muhammad T. & Salema, Arshad Adam & Moghavvemi, M. & Shekarchian, M. & Zarifi, F. & Mohsin, R., 2014. "Energy and exergy utilization efficiencies and emission performance of Canadian transportation sector, 1990–2035," Energy, Elsevier, vol. 64(C), pages 355-366.
    10. Sider, Timothy & Alam, Ahsan & Zukari, Mohamad & Dugum, Hussam & Goldstein, Nathan & Eluru, Naveen & Hatzopoulou, Marianne, 2013. "Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution," Journal of Transport Geography, Elsevier, vol. 33(C), pages 230-239.
    11. Talbi, Besma, 2017. "CO2 emissions reduction in road transport sector in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 232-238.
    12. Saboori, Behnaz & Sapri, Maimunah & bin Baba, Maizan, 2014. "Economic growth, energy consumption and CO2 emissions in OECD (Organization for Economic Co-operation and Development)'s transport sector: A fully modified bi-directional relationship approach," Energy, Elsevier, vol. 66(C), pages 150-161.
    13. Wang, S.S. & Zhou, D.Q. & Zhou, P. & Wang, Q.W., 2011. "CO2 emissions, energy consumption and economic growth in China: A panel data analysis," Energy Policy, Elsevier, vol. 39(9), pages 4870-4875, September.
    14. van der Zwaan, Bob & Keppo, Ilkka & Johnsson, Filip, 2013. "How to decarbonize the transport sector?," Energy Policy, Elsevier, vol. 61(C), pages 562-573.
    15. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    16. Alshehry, Atef Saad & Belloumi, Mounir, 2017. "Study of the environmental Kuznets curve for transport carbon dioxide emissions in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1339-1347.
    17. Ahanchian, Mohammad & Biona, Jose Bienvenido Manuel, 2014. "Energy demand, emissions forecasts and mitigation strategies modeled over a medium-range horizon: The case of the land transportation sector in Metro Manila," Energy Policy, Elsevier, vol. 66(C), pages 615-629.
    18. Tokunaga, Kanae & Konan, Denise Eby, 2014. "Home grown or imported? Biofuels life cycle GHG emissions in electricity generation and transportation," Applied Energy, Elsevier, vol. 125(C), pages 123-131.
    19. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    20. Begum, Rawshan Ara & Sohag, Kazi & Abdullah, Sharifah Mastura Syed & Jaafar, Mokhtar, 2015. "CO2 emissions, energy consumption, economic and population growth in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 594-601.
    21. Konur, Dinçer, 2014. "Carbon constrained integrated inventory control and truckload transportation with heterogeneous freight trucks," International Journal of Production Economics, Elsevier, vol. 153(C), pages 268-279.
    22. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    23. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
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    1. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
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    3. S. Roderick Zhang & Bilal Farooq, 2022. "Interpretable and Actionable Vehicular Greenhouse Gas Emission Prediction at Road link-level," Papers 2206.09073, arXiv.org.

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