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Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment

Author

Listed:
  • Xu-Hui Li

    (The Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 200092, China
    School of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Lin Huang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Qiang Li

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Hu-Chen Liu

    (College of Economics and Management, China Jiliang University, Hangzhou 310018, China
    School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Passenger satisfaction is an important factor that affects the choice of travel modes for municipalities, especially in big cities. This evaluation is an important task for managers when they are considering improving the competitiveness of the public transportation system. However, passenger satisfaction evaluation is difficult as the information provided by passengers is often vague, imprecise, and uncertain. This paper aims to propose a new method, using Pythagorean fuzzy sets and multi-objective optimization by a ratio analysis plus full multiplicative form method (MULTIMOORA), to evaluate the passenger satisfaction level of the public transportation system under large group environment. The former is employed to represent the satisfaction assessments of rail transit network provided by passengers. The latter is extended and used to determine the passenger satisfaction levels of rail transit lines. In addition, a combination weighting method is suggested to compute the relative weights of evaluation criteria. A case study of the rail transit network in Shanghai is provided to demonstrate the effectiveness of the proposed passenger satisfaction evaluation method. The result shows that the new method proposed in this study can not only model passengers’ satisfaction evaluation information with more uncertainties, but also determine more reasonable and credible satisfaction levels of rail transit lines.

Suggested Citation

  • Xu-Hui Li & Lin Huang & Qiang Li & Hu-Chen Liu, 2020. "Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4996-:d:373344
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    2. Efstathios Bouhouras & Socrates Basbas & Georgios Mintsis & Christos Taxiltaris & Marios Miltiadou & Andreas Nikiforiadis & Maria Natalia Konstantinidou & Eleni Mavropoulou, 2022. "Level of Satisfaction among University Students Using Various Transport Modes," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
    3. Qaisar Khan & Jeonghwan Gwak & Muhammad Shahzad & Muhammad Kamran Alam, 2021. "A Novel Approached Based on T-Spherical Fuzzy Schweizer-Sklar Power Heronian Mean Operator for Evaluating Water Reuse Applications under Uncertainty," Sustainability, MDPI, vol. 13(13), pages 1-35, June.
    4. Vladimir Simić & Radovan Soušek & Stefan Jovčić, 2020. "Picture Fuzzy MCDM Approach for Risk Assessment of Railway Infrastructure," Mathematics, MDPI, vol. 8(12), pages 1-29, December.

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