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Evaluation of Urban Rail Transit System Planning Based on Integrated Empowerment Method and Matter-Element Model

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  • Han Peng

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
    School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Yike Chen

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Linjian Shangguan

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
    School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Shengnan Zhou

    (Department of Urban Construction, Beijing University of Technology, Beijing 100124, China)

  • Yanchi Li

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Qianyu Wang

    (School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

Abstract

Urban rail transit system planning is significant for alleviating traffic congestion and optimizing spatial resource allocation in cities with scarce land resources. However, the long period of rail transit construction, large-scale investment, and its planning involve a variety of factors, which require scientific and reasonable evaluation methods to ensure that its construction can realize the expected economic and social benefits. To solve this problem, this study first establishes an appropriate evaluation system by selecting suitable evaluation indicators. Then, the comprehensive assignment method combining the ordinal relationship method (G1 method) and the improved entropy weight method is applied to assign weights to the indicators in the evaluation system, and the correlation degree is calculated by combining with the matter-element model for evaluating the planning scheme of the urban rail transit system. Finally, the urban rail transit system planning scheme of Zhengzhou City is verified by example. The results show that the proposed method can balance the practical significance and dynamics of the evaluation indices, evaluate the importance of each index more objectively, and provide methodological support for dynamic decision-making in rail transportation planning in the context of a smart city, which is of guiding significance for the sustainable development of the city.

Suggested Citation

  • Han Peng & Yike Chen & Linjian Shangguan & Shengnan Zhou & Yanchi Li & Qianyu Wang, 2025. "Evaluation of Urban Rail Transit System Planning Based on Integrated Empowerment Method and Matter-Element Model," Sustainability, MDPI, vol. 17(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4569-:d:1657562
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    References listed on IDEAS

    as
    1. Johnston, Robert A. & DeLuchi, Mark A., 1989. "Evaluation Methods for Rail Transit Projects," University of California Transportation Center, Working Papers qt3s89711q, University of California Transportation Center.
    2. Tianjun Feng & Yusong Liu & Chun Chen & Keke Liu & Chongjun Huang, 2024. "Traffic Safety Evaluation of Downstream Intersections on Urban Expressways Based on Analytical Hierarchy Process–Matter-Element Method," Sustainability, MDPI, vol. 16(16), pages 1-14, August.
    3. Zhaoyang Cai & Jianwei Yan, 2018. "The planning and design of road network structure in urban railway transit hub areas," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(3), pages 198-203.
    4. Xinyao Yin & Junhua Chen & Yuexuan Li, 2024. "Simulation-Based Resilience Evaluation for Urban Rail Transit Transfer Stations," Sustainability, MDPI, vol. 16(9), pages 1-22, April.
    5. Dung David Chuwang & Weiya Chen, 2022. "Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach," Forecasting, MDPI, vol. 4(4), pages 1-21, November.
    6. Pei Yin & Miaojuan Peng, 2023. "Station Layout Optimization and Route Selection of Urban Rail Transit Planning: A Case Study of Shanghai Pudong International Airport," Mathematics, MDPI, vol. 11(6), pages 1-29, March.
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