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Grey relation analysis of motor vehicular energy consumption in Taiwan

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  • Lu, I.J.
  • Lin, Sue J.
  • Lewis, Charles
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    Abstract

    Grey relation analysis (GRA) was utilized in this study to capture the dynamic characteristics of different factors in the transportation system during their development process and to evaluate the relative influence of the fuel price, the gross domestic product, the number of motor vehicles and the vehicle kilometers of travel (VKT) per energy increase. Furthermore, results from this method were then compared with the OECD decoupling index. This comparison revealed that the steady growth of economic development was strongly correlated with vehicular fuel consumption. The relation grade of 0.967 implies that the increase in the number of passenger cars was another important factor for energy increase. As for the motorcycles, the relative influence of VKT was insignificant, and the positive relationship to GFK indicated that the performance of vehicular energy efficiency has improved in recent years. In comparison to the other factors, the contribution of fuel price was obscure. Additionally, the analysis of decoupling effects also yielded similar results to those of GRA. The coupling index between economic growth and fuel price was observed for passenger cars and motorcycles, while the VKT was relatively decoupled.

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    File URL: http://www.sciencedirect.com/science/article/B6V2W-4SF9CCB-2/1/04f47006c9e0ca4d88060dacc0781c6f
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 36 (2008)
    Issue (Month): 7 (July)
    Pages: 2556-2561

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    Handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2556-2561

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    Web page: http://www.elsevier.com/locate/enpol

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    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Stead, D., 2001. "Transport intensity in Europe -- indicators and trends," Transport Policy, Elsevier, vol. 8(1), pages 29-46, January.
    2. Lin, Sue J. & Lu, I.J. & Lewis, Charles, 2007. "Grey relation performance correlations among economics, energy use and carbon dioxide emission in Taiwan," Energy Policy, Elsevier, vol. 35(3), pages 1948-1955, March.
    3. Mielnik, Otavio & Goldemberg, Jose, 2002. "Foreign direct investment and decoupling between energy and gross domestic product in developing countries," Energy Policy, Elsevier, vol. 30(2), pages 87-89, January.
    4. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
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    Cited by:
    1. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    2. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.
    3. Xu, Gang & Yang, Yong-ping & Lu, Shi-yuan & Li, Le & Song, Xiaona, 2011. "Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process," Energy Policy, Elsevier, vol. 39(5), pages 2343-2351, May.
    4. Alev Taskin Gumus & A. Yesim Yayla & Erkan Çelik & Aytac Yildiz, 2013. "A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey," Energies, MDPI, Open Access Journal, vol. 6(6), pages 3017-3032, June.

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