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A Review of Operational Organization in Subway Logistics Systems: Evolution from Single-Line Optimization to Network Coordination
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Yuting ZHU1, Chang WEI1, Lu LIU2, Zhirui GUANG3, Mengchen ZHU4
Urban Rapid Rail Transit | 2026, 39(3) : 54 - 64
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Urban Rapid Rail Transit | 2026, 39(3): 54-64
• Forum of Rapid Rail Transit •
A Review of Operational Organization in Subway Logistics Systems: Evolution from Single-Line Optimization to Network Coordination
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Yuting ZHU1, Chang WEI1, Lu LIU2, Zhirui GUANG3, Mengchen ZHU4
Affiliations
  • 1.Business School, Beijing Technology and Business University, Beijing 100048
  • 2.College of Civil Engineering and Transportation, Yangzhou University, Yangzhou, Jiangsu 225127
  • 3.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
  • 4.Beijing Transport Institute, Beijing 100161
doi: 10.3969/j.issn.1672-6073.2026.03.007
Outline
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This paper focuses on the operational organization issues of metro logistics systems, drawing on domestic and international practices and taking literature from 2016 to 2025 in databases like Web of Science and CNKI as samples. By integrating bibliometric and content analysis methods, it examines research progress in this field. Subsequently, it provides an in-depth review of studies using quantitative analysis methods from perspectives such as research objects, stakeholders, transportation organization modes, train scheduling, capacity allocation, freight flow distribution, modeling strategies, and solution algorithms. The findings show that international practice and research started earlier but have not been continuously promoted, while domestic research, despite considerable attention, remains in a small-scale exploratory phase. Current research lacks systematic connections when analyzing key issues like transportation organization modes, train scheduling, capacity allocation, and freight flow distribution, highlighting the urgent need to construct an integrated optimization framework for multi-element collaboration. The research objects need to be further extended from single-line scenarios to complex networks to enhance the practicality and applicability of the theoretical findings. Under the green and low-carbon objective, incorporating energy consumption indicators into scheduling optimization and integrating low-carbon strategies such as regenerative braking energy utilization is of great significance. Meanwhile, moving beyond fixed demand assumptions and strengthening the ability to respond to uncertainty and elastic demand can improve the alignment between research and reality. Additionally, developing optimization algorithms suitable for large-scale networks remains a key direction for future research.

subway  /  urban logistics  /  operational organization  /  bibliometric analysis  /  modeling and solution methods
朱宇婷, 魏畅, 刘路, 光志瑞, 朱梦晨. 地铁物流系统运营组织研究综述:从单线优化到网络协同的演进. 都市快轨交通, 2026 , 39 (3) : 54 -64 . DOI: 10.3969/j.issn.1672-6073.2026.03.007
Yuting ZHU, Chang WEI, Lu LIU, Zhirui GUANG, Mengchen ZHU. A Review of Operational Organization in Subway Logistics Systems: Evolution from Single-Line Optimization to Network Coordination[J]. Urban Rapid Rail Transit, 2026 , 39 (3) : 54 -64 . DOI: 10.3969/j.issn.1672-6073.2026.03.007
Year 2026 volume 39 Issue 3
185
36
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Article Info
doi: 10.3969/j.issn.1672-6073.2026.03.007
  • Receive Date:2025-07-09
  • Online Date:2026-09-20
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  • Received:2025-07-09
  • Revised:2025-09-17
Funding
Affiliations
    1.Business School, Beijing Technology and Business University, Beijing 100048
    2.College of Civil Engineering and Transportation, Yangzhou University, Yangzhou, Jiangsu 225127
    3.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044
    4.Beijing Transport Institute, Beijing 100161
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表12种不同金属材料的力学参数
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Family
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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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