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Research on Model Selection of Medium and Low Carrying-capacity Urban Rail Transit Based on CRITIC-TOPSIS Model
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Xuesong LI1, Yuhong CHAO1, Chuangchuang XU1, Changhai WEI1, Yukai LYU2
Urban Rapid Rail Transit | 2025, 38(2) : 39 - 45
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Urban Rapid Rail Transit | 2025, 38(2): 39-45
Forum of Rapid Rail Transit
Research on Model Selection of Medium and Low Carrying-capacity Urban Rail Transit Based on CRITIC-TOPSIS Model
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Xuesong LI1, Yuhong CHAO1, Chuangchuang XU1, Changhai WEI1, Yukai LYU2
Affiliations
  • 1 CRRC P&D Institute Co., Ltd. Nanjing 211899
  • 2 CRRC Intelligent Transportation Engineering Technology Co., Ltd. Beijing 100078
Published: 2025-04-01 doi: 10.3969/j.issn.1672-6073.2025.02.006
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Guided by the need to address the shortcomings of subjective selection and the mismatch between capacity and demand in the selection of existing medium and low capacity urban rail transit standards, the standardized and procedural decisionmaking system for standard selection is developed. Firstly, the 4 criterion and 16 index evaluation system is established, considering constraints such as peak hour passenger flow, minimum transport capacity reserve, and the number of train operations. A multiobjective optimization model is constructed to determine the set of candidate rail transit systems. Besides, the CRITICTOPSIS algorithm is constructed to determine the weight coefficient values of each indicator and the optimal solution distance, thereby determining the optimal track system. Finally, using the Sline as the background for example verification, 5 alternative track systems are evaluated through a quantitative model. The CRITIC and TOPSIS algorithms were implemented using Python software. The decision values of rail transportation system rank in the order of selfguided monorail, crossseat monorail, light rail, guideway rubber wheel and low and mediumspeed magnetic levitation, indicating that the optimal rail system for line S is the selfguided monorail. Analyzing the standardized scoring matrix and index weight values of each type of rail system, the research results show that the model and algorithm proposed in this paper can effectively solve the problem of low and mediumcapacity rail transportation system selection.

urban rail transit  /  medium and low capacity  /  multiple modes  /  quantitative model  /  CRITIC-TOPSIS algorithm
Xuesong LI, Yuhong CHAO, Chuangchuang XU, Changhai WEI, Yukai LYU. Research on Model Selection of Medium and Low Carrying-capacity Urban Rail Transit Based on CRITIC-TOPSIS Model[J]. Urban Rapid Rail Transit, 2025 , 38 (2) : 39 -45 . DOI: 10.3969/j.issn.1672-6073.2025.02.006
Year 2025 volume 38 Issue 2
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.02.006
  • Receive Date:2024-05-19
  • Online Date:2025-07-09
  • Published:2025-04-01
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  • Received:2024-05-19
  • Revised:2024-08-05
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    1 CRRC P&D Institute Co., Ltd. Nanjing 211899
    2 CRRC Intelligent Transportation Engineering Technology Co., Ltd. Beijing 100078
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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