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Research on influencing factors of fuel consumption on superhighway based on DEMATEL-ISM model

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  • He, Yongming
  • Kang, Jia
  • Pei, Yulong
  • Ran, Bin
  • Song, Yuting

Abstract

To study the influence of different factors on the fuel consumption of vehicles on the superhighway, and determine the weight of the influence of different factors and the relationship among the factors. Through the literature research and Delphi method, 16 factors affecting fuel consumption were determined, which were divided into four dimensions: driver, vehicle, road, and environment. Integrated Decision-Making and Trial Evaluation Laboratory (DEMATEL) and interpretive structural model (ISM) was used to establish a multi-level hierarchical structure model. The results show that the hierarchical structure model can be divided into six layers. The first layer is the driving technology and driving speed, which are the direct factors affecting the fuel consumption of vehicles; the sixth layer is the engine performance and topographic characteristics, which is the deep factor affecting the fuel consumption of vehicles. Besides, by calculating the cause degree and the center degree for analysis, it is found that there are 10 casual factors, 6 results factors, and 8 key influencing factors. The research results can provide a reference for the analysis of vehicle fuel consumption on the superhighway and provide a reference for the construction of the superhighway with a superior economy.

Suggested Citation

  • He, Yongming & Kang, Jia & Pei, Yulong & Ran, Bin & Song, Yuting, 2021. "Research on influencing factors of fuel consumption on superhighway based on DEMATEL-ISM model," Energy Policy, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:enepol:v:158:y:2021:i:c:s0301421521004158
    DOI: 10.1016/j.enpol.2021.112545
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    References listed on IDEAS

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    8. Ocampo, Lanndon & Yamagishi, Kafferine, 2020. "Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
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    Cited by:

    1. Yuxuan Xu & Hongbin Liu & Jie Lyu & Ying Xue, 2022. "What Influences Farmers’ Adoption of Soil Testing and Formulated Fertilization Technology in Black Soil Areas? An Empirical Analysis Based on Logistic-ISM Model," IJERPH, MDPI, vol. 19(23), pages 1-24, November.
    2. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    3. Shuheng Zhong & Dan Lin & Kangdi Yang, 2022. "Research on the Influencing Factors of Coal Industry Transformation Based on the DEMATEL–ISM Method," Energies, MDPI, vol. 15(24), pages 1-14, December.
    4. He, Yongming & Feng, Jia & Wei, Kun & Cao, Jian & Chen, Shisheng & Wan, Yanan, 2023. "Modeling and simulation of lane-changing and collision avoiding autonomous vehicles on superhighways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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