Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China
Employing flow space theory and multi-source data, this study examines the spatial network structure and factors influencing railway passenger flow, which is crucial for rail planning in densely populated megalopolises. Focusing on China's Yangtze River Delta (YRD) megalopolis, we utilize socia...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-03-01
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| Series: | International Journal of Transportation Science and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S204604302400039X |
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| author | Yongqi Deng Jiaorong Wu Chengcheng Yu Jihao Deng Meiting Tu Yuqin Wang |
| author_facet | Yongqi Deng Jiaorong Wu Chengcheng Yu Jihao Deng Meiting Tu Yuqin Wang |
| author_sort | Yongqi Deng |
| collection | DOAJ |
| description | Employing flow space theory and multi-source data, this study examines the spatial network structure and factors influencing railway passenger flow, which is crucial for rail planning in densely populated megalopolises. Focusing on China's Yangtze River Delta (YRD) megalopolis, we utilize social network analysis (SNA) to explore the characteristics of various flow networks and their interactions with the railway passenger flow network. Key findings include: (1) a pronounced polarization effect and core-periphery structure exist in the YRD, notably within industry and railway flow networks; (2) industry and corporation flow significantly contributes to rail passenger flow, with corporation networks in commerce, technical services, and finance showing higher similarity to the railway passenger flow network; (3) there is significant heterogeneity in the correlation between rail passenger flow and other flows within sub-networks formed by connections among nodes of different levels; (4) enhancing railway services at lower-level nodes is essential to mitigate the disparity between population mobility and rail passenger flow and to promote rail transportation equity. This research offers valuable insights for policymakers in developing countries to strategically plan railroad networks in megalopolises. |
| format | Article |
| id | doaj-art-fab4e566da444acb856e34a1b9d7b744 |
| institution | OA Journals |
| issn | 2046-0430 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj-art-fab4e566da444acb856e34a1b9d7b7442025-08-20T01:52:06ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302025-03-011719220710.1016/j.ijtst.2024.04.004Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, ChinaYongqi Deng0Jiaorong Wu1Chengcheng Yu2Jihao Deng3Meiting Tu4Yuqin Wang5College of Transportation Engineering, Tongji University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education at Tongji University, 201804 Shanghai, ChinaCollege of Transportation Engineering, Tongji University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education at Tongji University, 201804 Shanghai, China; Urban Mobility Institute, Tongji University, 200092 Shanghai, China; Corresponding author.Urban Mobility Institute, Tongji University, 200092 Shanghai, ChinaCollege of Transportation Engineering, Tongji University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education at Tongji University, 201804 Shanghai, ChinaCollege of Transportation Engineering, Tongji University, 201804 Shanghai, China; The Key Laboratory of Road and Traffic Engineering, Ministry of Education at Tongji University, 201804 Shanghai, ChinaUrban Mobility Institute, Tongji University, 200092 Shanghai, ChinaEmploying flow space theory and multi-source data, this study examines the spatial network structure and factors influencing railway passenger flow, which is crucial for rail planning in densely populated megalopolises. Focusing on China's Yangtze River Delta (YRD) megalopolis, we utilize social network analysis (SNA) to explore the characteristics of various flow networks and their interactions with the railway passenger flow network. Key findings include: (1) a pronounced polarization effect and core-periphery structure exist in the YRD, notably within industry and railway flow networks; (2) industry and corporation flow significantly contributes to rail passenger flow, with corporation networks in commerce, technical services, and finance showing higher similarity to the railway passenger flow network; (3) there is significant heterogeneity in the correlation between rail passenger flow and other flows within sub-networks formed by connections among nodes of different levels; (4) enhancing railway services at lower-level nodes is essential to mitigate the disparity between population mobility and rail passenger flow and to promote rail transportation equity. This research offers valuable insights for policymakers in developing countries to strategically plan railroad networks in megalopolises.http://www.sciencedirect.com/science/article/pii/S204604302400039XFlow space theorySocial network analysis (SNA)Railway passenger flowRailroad network planningMegalopolis |
| spellingShingle | Yongqi Deng Jiaorong Wu Chengcheng Yu Jihao Deng Meiting Tu Yuqin Wang Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China International Journal of Transportation Science and Technology Flow space theory Social network analysis (SNA) Railway passenger flow Railroad network planning Megalopolis |
| title | Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China |
| title_full | Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China |
| title_fullStr | Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China |
| title_full_unstemmed | Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China |
| title_short | Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China |
| title_sort | investigating influential factors on railway passenger flow utilizing multi source data fusion and flow space theory a case study of the yangtze river delta megalopolis china |
| topic | Flow space theory Social network analysis (SNA) Railway passenger flow Railroad network planning Megalopolis |
| url | http://www.sciencedirect.com/science/article/pii/S204604302400039X |
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