Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China
Node importance is a key factor affecting the overall operation efficiency of a railway freight transportation network (RFTN) that can be measured with the indicators of Hub and PageRank. Based on complex network theory and the national railway cargo exchange data of China’s provinces, this study co...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/1493206 |
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| author | Qipeng Sun Xiaozhuang Guo Wenjing Jiang Haiying Ding Tingzhen Li Xingbo Xu |
| author_facet | Qipeng Sun Xiaozhuang Guo Wenjing Jiang Haiying Ding Tingzhen Li Xingbo Xu |
| author_sort | Qipeng Sun |
| collection | DOAJ |
| description | Node importance is a key factor affecting the overall operation efficiency of a railway freight transportation network (RFTN) that can be measured with the indicators of Hub and PageRank. Based on complex network theory and the national railway cargo exchange data of China’s provinces, this study constructs an RFTN model with the 31 provinces as the nodes and measures the values of Hub and PageRank for the 31 provinces. Then, the time evolution law of the importance of the provincial nodes is analyzed comprehensively, and, using a regression model, the influencing factors of the importance of the provincial nodes are identified. The results show the following. (1) The uneven distribution of natural resources will affect the spatial changes in the importance of RFTN nodes. The Hub values tended to cluster around the average, and the economic structure of the output-oriented provinces improved as a whole. At the same time, the PageRank values of many provinces in the central and western regions significantly increased, and those provinces exhibited more frequent exchanges of goods with other provinces and closer economic ties with other regions. (2) The traffic fixed asset investments and the population density have the most obvious influences on the importance of the provincial nodes with a positive effect. In contrast, the railway freight concentration (RFC) coefficient, geographical location (longitude and latitude), and coastal region all have negative effects on the importance of provincial nodes. The results of this study provide scientific decision-making support for the reasonable establishment and distribution of RFTN hubs in China. |
| format | Article |
| id | doaj-art-b7692a8138104b88b66e8049b5a3bb31 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-b7692a8138104b88b66e8049b5a3bb312025-02-03T01:12:25ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/14932061493206Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in ChinaQipeng Sun0Xiaozhuang Guo1Wenjing Jiang2Haiying Ding3Tingzhen Li4Xingbo Xu5School of Economics and Management, Chang’an University, Xi’an, ChinaSchool of Economics and Management, Chang’an University, Xi’an, ChinaSchool of Economics and Management, Chang’an University, Xi’an, ChinaShaanxi College of Communication Technology, Xi’an, ChinaSchool of Economics and Management, Chang’an University, Xi’an, ChinaSchool of Economics and Management, Chang’an University, Xi’an, ChinaNode importance is a key factor affecting the overall operation efficiency of a railway freight transportation network (RFTN) that can be measured with the indicators of Hub and PageRank. Based on complex network theory and the national railway cargo exchange data of China’s provinces, this study constructs an RFTN model with the 31 provinces as the nodes and measures the values of Hub and PageRank for the 31 provinces. Then, the time evolution law of the importance of the provincial nodes is analyzed comprehensively, and, using a regression model, the influencing factors of the importance of the provincial nodes are identified. The results show the following. (1) The uneven distribution of natural resources will affect the spatial changes in the importance of RFTN nodes. The Hub values tended to cluster around the average, and the economic structure of the output-oriented provinces improved as a whole. At the same time, the PageRank values of many provinces in the central and western regions significantly increased, and those provinces exhibited more frequent exchanges of goods with other provinces and closer economic ties with other regions. (2) The traffic fixed asset investments and the population density have the most obvious influences on the importance of the provincial nodes with a positive effect. In contrast, the railway freight concentration (RFC) coefficient, geographical location (longitude and latitude), and coastal region all have negative effects on the importance of provincial nodes. The results of this study provide scientific decision-making support for the reasonable establishment and distribution of RFTN hubs in China.http://dx.doi.org/10.1155/2019/1493206 |
| spellingShingle | Qipeng Sun Xiaozhuang Guo Wenjing Jiang Haiying Ding Tingzhen Li Xingbo Xu Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China Journal of Advanced Transportation |
| title | Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China |
| title_full | Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China |
| title_fullStr | Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China |
| title_full_unstemmed | Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China |
| title_short | Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China |
| title_sort | exploring the node importance and its influencing factors in the railway freight transportation network in china |
| url | http://dx.doi.org/10.1155/2019/1493206 |
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