Assessing transfer property and reliability of urban bus network based on complex network theory

Hui Zhang, Cheng-Xiang Zhuge (), Xiang Zhao () and Wen-Bo Song
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Hui Zhang: Key Laboratory for Traffic and Transportation, Security of Jiangsu Province, Huaiyin Institute of Technology, Huaian 223003, Jiangsu, P. R. China2School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, Shandong, P. R. China
Cheng-Xiang Zhuge: Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK
Xiang Zhao: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China
Wen-Bo Song: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 01, 1-13

Abstract: Transfer reliability has an important impact on the urban bus network. The proportion of zero and one transfer time is a key indicator to measure the connectivity of bus networks. However, it is hard to calculate the transfer time between nodes because of the complicated network structure. In this paper, the topological structures of urban bus network in Jinan are constructed by space L and space P. A method to calculate transfer times between stations has been proposed by reachable matrix under space P. The result shows that it is efficient to calculate the transfer time between nodes in large networks. In order to test the transfer reliability, a node failure process has been built according to degree, clustering coefficient and betweenness centrality under space L and space P. The results show that the deliberate attack by betweenness centrality under space P is more effective compared with other five attack modes. This research could provide a power tool to find hub stations in bus networks and give a help for traffic manager to guarantee the normal operation of urban bus systems.

Keywords: Complex bus network; topological properties; boolean algebra; transfer reliability (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0129183118500043

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