Survivability of public transit network based on network structure entropy

Bai-Bai Fu (), Lin Zhang (), Shu-Bin Li and Yun-Xuan Li
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Bai-Bai Fu: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, P. R. China
Lin Zhang: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, P. R. China
Shu-Bin Li: Public Security Department, Shandong Policy College, Jinan 250014, P. R. China
Yun-Xuan Li: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, P. R. China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 09, 1-11

Abstract: In this work, we have collected 195 bus routes and 1433 bus stations of Jinan city as sample date to build up the public transit geospatial network model by applying space L method, until May 2014. Then, by analyzing the topological properties of public transit geospatial network model, which include degree and degree distribution, average shortest path length, clustering coefficient and betweenness, we get the conclusion that public transit network is a typical complex network with scale-free and small-world characteristics. Furthermore, in order to analyze the survivability of public transit network, we define new network structure entropy based on betweenness importance, and prove its correctness by giving that the new network structure entropy has the same statistical characteristics with network efficiency. Finally, the "inflexion zone" is discovered, which can be taken as the momentous indicator to determine the public transit network failure.

Keywords: Complex public transit network; topological properties; network structure entropy; survivability; 89.75.-k; 89.40.Bb; 05.60.-k; 02.60.Cb (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0129183115501041

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