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Assessment of Bus-Metro Transfer Behavior Based on Card-Swiping Data: A Case Study of Beijing
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Kai HUANG, Jianqin ZHANG, Xinyue CHENG, Chaonan HU, Zheng WEN, Xinyi HUANG
Urban Rapid Rail Transit | 2025, 38(4) : 53 - 60
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Urban Rapid Rail Transit | 2025, 38(4): 53-60
• Academic Discussion •
Assessment of Bus-Metro Transfer Behavior Based on Card-Swiping Data: A Case Study of Beijing
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Kai HUANG, Jianqin ZHANG, Xinyue CHENG, Chaonan HU, Zheng WEN, Xinyi HUANG
Affiliations
  • School of Geomatics and Urban Spatial informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616
Published: 2025-08-10 doi: 10.3969/j.issn.1672-6073.2025.04.007
Outline
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This study evaluates the coordination efficiency of urban public transportation systems by analyzing bus-subway transfer behavior characteristics, developing a bidirectional “subway-bus” transfer analysis framework based on Beijing's smart card data, which systematically defines subway-to-bus (STB) and bus-to-subway (BTS) transfer modes. An evaluation system encompassing 10 indicators—including transfer bus service area, competition intensity, and spatiotemporal distribution patterns—was constructed, with K-means clustering applied to classify subway stations. Key findings revealed that BTS transfers predominantly occurred during morning peaks while STB transfers concentrated in evening peaks, with both modes exhibiting a consistent 1:2 ratio in travel time and distance between bus and subway segments, alongside an average 6-minute bus waiting time for STB; spatially, high-demand bus transfers clustered around railway stations and sub-centers, with intense competition observed along the Tongzhou-Chaoyang corridor of Subway Line 1; clustering analysis categorized stations into five distinct types for each transfer mode, demonstrating tidal passenger flow-driven differentiation. The research provides theoretical and practical insights for optimizing transfer services and enhancing network coupling efficiency in megacities.

public transit travel  /  transfer connection  /  transportation big data  /  travel evaluation indicators  /  spatiotemporal distribution  /  card swiping data
黄凯, 张健钦, 程歆玥, 胡超男, 文政, 黄馨逸. 基于刷卡数据的公交和地铁接驳出行评价研究——以北京市为例. 都市快轨交通, 2025 , 38 (4) : 53 -60 . DOI: 10.3969/j.issn.1672-6073.2025.04.007
Kai HUANG, Jianqin ZHANG, Xinyue CHENG, Chaonan HU, Zheng WEN, Xinyi HUANG. Assessment of Bus-Metro Transfer Behavior Based on Card-Swiping Data: A Case Study of Beijing[J]. Urban Rapid Rail Transit, 2025 , 38 (4) : 53 -60 . DOI: 10.3969/j.issn.1672-6073.2025.04.007
Year 2025 volume 38 Issue 4
114
17
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.04.007
  • Receive Date:2024-09-02
  • Online Date:2026-10-19
  • Published:2025-08-10
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  • Received:2024-09-02
  • Revised:2025-05-15
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    School of Geomatics and Urban Spatial informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616
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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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