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Assessment of sustainable urban transport development based on entropy and unascertained measure

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  • Yancang Li
  • Jing Yang
  • Huawang Shi
  • Yijie Li

Abstract

To find a more effective method for the assessment of sustainable urban transport development, the comprehensive assessment model of sustainable urban transport development was established based on the unascertained measure. On the basis of considering the factors influencing urban transport development, the comprehensive assessment indexes were selected, including urban economical development, transport demand, environment quality and energy consumption, and the assessment system of sustainable urban transport development was proposed. In view of different influencing factors of urban transport development, the index weight was calculated through the entropy weight coefficient method. Qualitative and quantitative analyses were conducted according to the actual condition. Then, the grade was obtained by using the credible degree recognition criterion from which the urban transport development level can be determined. Finally, a comprehensive assessment method for urban transport development was introduced. The application practice showed that the method can be used reasonably and effectively for the comprehensive assessment of urban transport development.

Suggested Citation

  • Yancang Li & Jing Yang & Huawang Shi & Yijie Li, 2017. "Assessment of sustainable urban transport development based on entropy and unascertained measure," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-9, October.
  • Handle: RePEc:plo:pone00:0186893
    DOI: 10.1371/journal.pone.0186893
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    References listed on IDEAS

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    1. Johanna Camargo Pérez & Martha Carrillo & Jairo Montoya-Torres, 2015. "Multi-criteria approaches for urban passenger transport systems: a literature review," Annals of Operations Research, Springer, vol. 226(1), pages 69-87, March.
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    Cited by:

    1. Qingfu Li & Tianjing Zhang & Yingqiao Yu, 2022. "Evaluation of the Durability of Bridge Tension Cables Based on Combination Weighting Method-Unascertained Measure Theory," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    2. Liang Zhang & Xubing Zhang & Shenggu Yuan & Kai Wang, 2021. "Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method," Sustainability, MDPI, vol. 13(4), pages 1-18, February.

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