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Research on the Establishment and Application of a Transportation Safety Supervision Evaluation System Based on Grey Analytic Hierarchy Process

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  • Xiaowang Zhang

    (School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China)

  • Shuangqing Li

    (School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China)

  • Xiaoqian Liu

    (School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China)

  • Shengqi Jian

    (School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China)

  • Shuren Li

    (Safety Supervision Division, Henan Provincial Department of Transportation, Zhengzhou 450000, China)

  • Jinchao Yue

    (School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China)

Abstract

Given the increasing complexity of transportation systems and the critical need for effective safety oversight, this study aims to evaluate and improve the transportation safety supervision (TSS) system in Henan Province, China. Based on questionnaire data from relevant units in Henan Province, China, a three-level index system of the effectiveness of TSS consisting of 4 criterion-level indicators and 25 factory-level indicators is established. By combining the analytic hierarchy process (AHP) and grey system theory, a hierarchical grey evaluation model is constructed to evaluate the current situation of TSS in Henan Province. The results show that the evaluation index system and the weights of each index are reliable. The comprehensive evaluation value of the TSS system in Henan Province is 3.08, indicating that the effectiveness of the system is at level 2; thus, the current situation of TSS in Henan Province is good. Based on the calculated evaluation values of the first- and second-level indicators, suggestions are put forward to strengthen the management of the TSS by supervision units at all levels.

Suggested Citation

  • Xiaowang Zhang & Shuangqing Li & Xiaoqian Liu & Shengqi Jian & Shuren Li & Jinchao Yue, 2024. "Research on the Establishment and Application of a Transportation Safety Supervision Evaluation System Based on Grey Analytic Hierarchy Process," Sustainability, MDPI, vol. 16(23), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10600-:d:1535949
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    References listed on IDEAS

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    1. Özge Nalan Bilişik & Nurgül Demirtaş & Umut Rıfat Tuzkaya & Hayri Baraçlı, 2014. "Garage Location Selection for Public Transportation System in Istanbul: An Integrated Fuzzy AHP and Fuzzy Axiomatic Design Based Approach," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-13, September.
    2. Zhou, Shan & Yang, Pu, 2020. "Risk management in distributed wind energy implementing Analytic Hierarchy Process," Renewable Energy, Elsevier, vol. 150(C), pages 616-623.
    3. A. Awasthi & H. Omrani, 2009. "A hybrid approach based on AHP and belief theory for evaluating sustainable transportation solutions," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 9(3), pages 212-226.
    4. Turan Arslan, 2009. "A hybrid model of fuzzy and AHP for handling public assessments on transportation projects," Transportation, Springer, vol. 36(1), pages 97-112, January.
    5. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    6. Xu, Z., 2000. "On consistency of the weighted geometric mean complex judgement matrix in AHP," European Journal of Operational Research, Elsevier, vol. 126(3), pages 683-687, November.
    7. Rabello Quadros, Saul Germano & Nassi, Carlos David, 2015. "An evaluation on the criteria to prioritize transportation infrastructure investments in Brazil," Transport Policy, Elsevier, vol. 40(C), pages 8-16.
    8. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
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