China Safety Science Journal ›› 2019, Vol. 29 ›› Issue (5): 97-104.doi: 10.16265/j.cnki.issn1003-3033.2019.05.017

• Safety Science of Engineering and Technology • Previous Articles     Next Articles

Regional railway network planning optimization based on dynamic reliability evaluation: a case study on Chengdu-Chongqing urban agglomeration

WANG Yafeng1, HUANG Yong2,3   

  1. 1 Wuhan Planning and Design Co. Ltd., Wuhan Hubei 430014, China;
    2 Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400030, China;
    3 Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400300, China
  • Received:2019-02-27 Revised:2019-04-17 Published:2020-11-02

Abstract: In order to ensure the safety of regional railway transportation and improve emergency response effectiveness of railway network system in disasters, taking Chengdu-Chongqing urban agglomeration as an example, two models of undirected and unweighted railway physical network and undirected weighted railway traffic network were constructed by using complex network theory. Relative size of maximum connected subgraph, network robustness and overall network efficiency were selected to evaluate the dynamic reliability of railway network from two aspects of node failure and side failure. Based on this, a proposal for railway network safe operation planning optimization was put forward. The research shows that the railway network of Chengdu-Chongqing urban agglomeration is robust to random attack and vulnerable to selective attack, and the network connectivity and information transmission efficiency vary significantly under different attacks in the case of network failure. It is also found that Chongqing North Station, Chongqing Station, Chengdu East Station, Chengdu Station, Hechuan Station, Dazhou Station, Chengdu Station-Pengshan Station, Xinjin Station-Xinjin South Station and Xinjin South Station-Pengshan North Station are the key stations and road sections that affect the reliability of the network.

Key words: regional railway network, dynamic reliability, complex network, planning suggestion, Chengdu-Chongqing urban agglomeration

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