| Complexity of Public Transport Networks |
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| 作者姓名： | 陆化普 石冶 |
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| 作者单位： | Institute of Transportation Engineering Tsinghua University Beijing 10084 China，Institute of Transportation Engineering Tsinghua University Beijing 10084 China |
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| 摘 要： | The theory of complex networks was used to classify public transport networks into public transportation route networks, public transportation transfer networks, and bus station networks. The practical significance of the network parameters was then analyzed. The public transport networks in Langfang, Jin-ing, and Dalian were then chosen as specific research cases. The results show that the public transportation networks have the characteristics of complex networks. In addition, the urban transportation network parameters all significantly affect the accessibility, convenience, and terrorist security capability of the urban public transportation network. The results link the findings with the actual situations to explore means to solve transportation system problems.
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| 关 键 词： | 公共交通网络 复杂性 小世界效应 度分布 复杂网络 |
| 收稿时间： | 1 October 2006. |
| 修稿时间： | 2006-10-01 |
Complexity of Public Transport Networks |
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| Huapu Lu, &#x;&#x;,Ye Shi, .Complexity of Public Transport Networks[J].Tsinghua Science and Technology,2007,12(2):204-213. |
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| Authors: | Huapu Lu &#x;&#x; Ye Shi |
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| Institution: | Institute of Transportation Engineering, Tsinghua University, Beijing 10084, China |
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| Abstract: | The theory of complex networks was used to classify public transport networks into public transportation route networks, public transportation transfer networks, and bus station networks. The practical significance of the network parameters was then analyzed. The public transport networks in Langfang, Jin-ing, and Dalian were then chosen as specific research cases. The results show that the public transportation networks have the characteristics of complex networks. In addition, the urban transportation network parameters all significantly affect the accessibility, convenience, and terrorist security capability of the urban public transportation network. The results link the findings with the actual situations to explore means to solve transportation system problems. |
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| Keywords: | complex networks public transportation networks small-world effect degree distribution |
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