Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach
Train capacity utilization (TCU), usually represented by passenger load factor (PLF), is a critical measure of effectiveness for rail operation. In literature, efforts are usually made to improve capacity utilization by optimizing rail operation and management strategies. Comparably little attention...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/3985302 |
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| _version_ | 1832558902847209472 |
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| author | Fanxiao Liu Zhanbo Sun Peitong Zhang Qiyuan Peng Qingjie Qiao |
| author_facet | Fanxiao Liu Zhanbo Sun Peitong Zhang Qiyuan Peng Qingjie Qiao |
| author_sort | Fanxiao Liu |
| collection | DOAJ |
| description | Train capacity utilization (TCU), usually represented by passenger load factor (PLF), is a critical measure of effectiveness for rail operation. In literature, efforts are usually made to improve capacity utilization by optimizing rail operation and management strategies. Comparably little attention is paid to analyzing the factors that affect TCU and to understanding the behavioral patterns behind it. This paper applies exploratory data mining techniques to a 3-month long real world train operation data of the Beijing-Shanghai High-Speed Railway. Principal component analysis (PCA) is conducted to find the principal components that can efficiently represent the collected data. Clustering techniques are then applied to understand the unique characteristics that affect PLF and the travel pattern. The findings can be further used to guide train operation planning and facilitate better decision-making. |
| format | Article |
| id | doaj-art-e58a612266784492b4c292671f92830b |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-e58a612266784492b4c292671f92830b2025-02-03T01:31:24ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/39853023985302Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining ApproachFanxiao Liu0Zhanbo Sun1Peitong Zhang2Qiyuan Peng3Qingjie Qiao4School of Transportation and Logistics, Southwest Jiaotong University, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, ChinaBeijing-Shanghai High-Speed Railway Co. Ltd, ChinaTrain capacity utilization (TCU), usually represented by passenger load factor (PLF), is a critical measure of effectiveness for rail operation. In literature, efforts are usually made to improve capacity utilization by optimizing rail operation and management strategies. Comparably little attention is paid to analyzing the factors that affect TCU and to understanding the behavioral patterns behind it. This paper applies exploratory data mining techniques to a 3-month long real world train operation data of the Beijing-Shanghai High-Speed Railway. Principal component analysis (PCA) is conducted to find the principal components that can efficiently represent the collected data. Clustering techniques are then applied to understand the unique characteristics that affect PLF and the travel pattern. The findings can be further used to guide train operation planning and facilitate better decision-making.http://dx.doi.org/10.1155/2018/3985302 |
| spellingShingle | Fanxiao Liu Zhanbo Sun Peitong Zhang Qiyuan Peng Qingjie Qiao Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach Journal of Advanced Transportation |
| title | Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach |
| title_full | Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach |
| title_fullStr | Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach |
| title_full_unstemmed | Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach |
| title_short | Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach |
| title_sort | analyzing capacity utilization and travel patterns of chinese high speed trains an exploratory data mining approach |
| url | http://dx.doi.org/10.1155/2018/3985302 |
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