Grey relation analysis of motor vehicular energy consumption in Taiwan

被引:57
|
作者
Lu, I. J. [1 ]
Lin, Sue J. [1 ,2 ]
Lewis, Charles [3 ]
机构
[1] Natl Cheng Kung Univ, Dept Environm Engn, Tainan 701, Taiwan
[2] Natl Cheng Kung Univ, Sustainable Environm Res Ctr, Tainan 701, Taiwan
[3] Natl Cheng Kung Univ, Dept Resources Engn, Tainan 701, Taiwan
关键词
grey relation analysis; OECD decoupling index; vehicular fuel consumption;
D O I
10.1016/j.enpol.2008.03.015
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 G(FK) 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. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2556 / 2561
页数:6
相关论文
共 50 条
  • [1] Grey Relation Analysis of Economics, Energy Consumption and Environment in China
    Feng Yan-ping
    Liu Chang-bin
    2008 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (15TH), VOLS I AND II, CONFERENCE PROCEEDINGS, 2008, : 1422 - +
  • [2] GREY MODEL ANALYSIS OF VEHICLE POPULATION, ROAD TRANSPORT ENERGY CONSUMPTION AND VEHICULAR EMISSIONS
    Amulah, Nuhu Caleb
    Ekwe, Ekwe Bassey
    Ishaq, Muhammad Idriss
    Oluwole, Fasiu Ajani
    KOMUNIKACIE - VEDECKE LISTY ZILINSKEJ UNIVERZITY V ZILINE, 2023, 25 (01):
  • [3] Grey Relation Analysis of Energy Consumption Structure and Economy Growth in China
    Ma, Ning
    Luo, Tingting
    PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE CONSTRUCTION & RISK MANAGEMENT, VOLS I AND II, 2010, : 1318 - 1322
  • [4] An Analysis on the Energy Consumption and Economy Increase Based on Grey Relation Theory
    Tao, Aixiang
    INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT (EBM2011), VOLS 1-6, 2011, : 2905 - 2907
  • [5] Grey relation analysis of carbon dioxide emissions from industrial production and energy uses in Taiwan
    Chang, TC
    Lin, SJ
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1999, 56 (04) : 247 - 257
  • [6] Modeling and Analysis on Energy Consumption in Vehicular CrowdCell
    He, Chen-Guang
    Zhang, Kai-Yu
    Gao, Yu-Long
    Liu, Chun-Peng
    PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 332 - 336
  • [7] Energy Consumption Analysis of a Linear Motor
    Chen, Qiushan
    Yin, Ningxia
    Chen, Xiaoqin
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 1523 - 1527
  • [8] An Evaluation of Containership Registrations in Taiwan: Application of the Grey Relation Analysis Model
    Lin, Cheng-Wei
    Chung, Cheng-Chi
    Yang, Shih-Hao
    JOURNAL OF TESTING AND EVALUATION, 2011, 39 (03) : 495 - 503
  • [9] Grey relation analysis of industrial CO2 emissions in Taiwan
    Chang, TC
    Lin, SJ
    Lee, JF
    AIR POLLUTION VI, 1998, 6 : 307 - 316
  • [10] Analysis and application of grey relation in Shanxi consumption structure of urban residents
    Lu Caimei
    Hao Yonghong
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II, 2007, : 2565 - 2569