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Research on the Evaluation of Rail Transit Transfer System Based on the Time Value

Author

Listed:
  • Xiaona Zhang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Fu Wang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Weidi Xu

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Yin Wang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Jingwen Luo

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Xinyu Chen

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Manqing Ye

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

Abstract

The transfer system has an extremely important influence on the operation management and economic benefits of the whole rail network. The paper selects evaluation indexes based on the analysis of transfer system time value influencing factors, excludes part of the indexes by using importance analysis and correlation analysis, and constructs the evaluation index system of rail transit transfer system using the STATA 16 software. Using a combination of the analytic hierarchy process (AHP) and CRITIC method, the evaluation indexes were comprehensively assigned. The time value evaluation model was established based on the matter-element extension evaluation model. Finally, Wuhan rail transit transfer stations Dazhi Road Station and Xunlimen Station are selected as examples for empirical analysis, and improvement measures are proposed. Unlike previous studies, this study introduces time value as a core indicator and uses a matter-element extension evaluation model for evaluation. Empirical analyses show that the proposed evaluation index system based on time value can better reflect the passenger experience as well as the efficiency of the transfer system. The selected matter-element extension evaluation model can better deal with the uncertainty between indicators and solve the multi-objective contradiction problem. The evaluation results of the model are consistent with the actual research results of the transfer station, and the evaluation model has better applicability.

Suggested Citation

  • Xiaona Zhang & Fu Wang & Weidi Xu & Yin Wang & Jingwen Luo & Xinyu Chen & Manqing Ye, 2023. "Research on the Evaluation of Rail Transit Transfer System Based on the Time Value," Sustainability, MDPI, vol. 16(1), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:174-:d:1306377
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    References listed on IDEAS

    as
    1. Fu Wang & Manqing Ye & Hongbin Zhu & Dengjun Gu, 2022. "Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    2. Fei Dou & Huiru Zhang & Haodong Yin & Yun Wei & Yao Ning, 2022. "An Optimization Method of Urban Rail Train Operation Scheme Based on the Control of Load Factor," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    3. Abdolmaleki, Mojtaba & Masoud, Neda & Yin, Yafeng, 2020. "Transit timetable synchronization for transfer time minimization," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 143-159.
    4. Chengyuan Mao & Wenjiao Xu & Yiwen Huang & Xintong Zhang & Nan Zheng & Xinhuan Zhang, 2023. "Investigation of Passengers’ Perceived Transfer Distance in Urban Rail Transit Stations Using XGBoost and SHAP," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    5. Yin, Jiateng & D’Ariano, Andrea & Wang, Yihui & Yang, Lixing & Tang, Tao, 2021. "Timetable coordination in a rail transit network with time-dependent passenger demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 183-202.
    6. Zhenjun Zhu & Jun Zeng & Xiaolin Gong & Yudong He & Shucheng Qiu, 2021. "Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
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