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Analysis of Green Traffic Development in Zhoushan Based on Entropy Weight TOPSIS

Author

Listed:
  • Zuiyi Shen

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

  • Qianqian Zhao

    (School of Port and Transportation Engineering, Zhejiang Ocean University, Zhoushan 316022, China)

  • Qimin Fang

    (School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, China)

Abstract

Green transportation is a kind of urban transportation system with low pollution and multiple urban environments. At present, the development of green transportation in China is progressing and gradually occupying a relatively important position. In order to understand the development of green transportation in China, based on the concept of green transportation, this paper analyzes the development of green transportation in Zhoushan as an example, and selects the data from three aspects: basic indicators, means of transportation and road construction in Zhoushan City. The entropy weight method is used to determine the entropy value and weight of each index, and the index evaluation system is established. In addition, the ideal solution method was used to calculate the relative closeness degree to analyze the development of green transportation in Zhoushan city from 2016 to 2018. According to the relative proximity degree calculation data, it can be shown that the calculation value of 2017 is larger than that of 2018. The results show that the development of green transportation in Zhoushan in 2017 is the best, followed by 2018. The above results help to understand the current development status of Zhoushan green transportation, further understand the existing problems and the important factors affecting the development of Zhoushan green transportation. In order to promote the development of urban green transportation in China, suggestions are put forward on the basis of the analysis of the development of Zhousan’s green transportation to promote the development of green transportation in Zhoushan from four aspects: strengthening the construction of urban road transportation system, optimizing transportation, improving the infrastructure of new energy vehicles and promoting the concept of green transportation.

Suggested Citation

  • Zuiyi Shen & Qianqian Zhao & Qimin Fang, 2021. "Analysis of Green Traffic Development in Zhoushan Based on Entropy Weight TOPSIS," Sustainability, MDPI, vol. 13(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8109-:d:597856
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    References listed on IDEAS

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    1. Amekudzi, Adjo A. & Jotin Khisty, C. & Khayesi, Meleckidzedeck, 2009. "Using the sustainability footprint model to assess development impacts of transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 339-348, May.
    2. Murray, Alan T., 2001. "Strategic analysis of public transport coverage," Socio-Economic Planning Sciences, Elsevier, vol. 35(3), pages 175-188, September.
    3. Luís Carvalho & Giuliano Mingardo & Jeroen Van Haaren, 2011. "Green Urban Transport Policies and Cleantech Innovations: Evidence from Curitiba, Göteborg and Hamburg," European Planning Studies, Taylor & Francis Journals, vol. 20(3), pages 375-396, February.
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    Cited by:

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