Author
Listed:
- Zundong Zhang
(Beijing Key Lab of Urban Road Transportation, Intelligent Control Technology, North China University of Technology, Beijing 100144, P. R. China)
- Xiaoyang Xu
(Beijing Key Lab of Urban Road Transportation, Intelligent Control Technology, North China University of Technology, Beijing 100144, P. R. China)
- Zhaoran Zhang
(Beijing Key Lab of Urban Road Transportation, Intelligent Control Technology, North China University of Technology, Beijing 100144, P. R. China)
- Huijuan Zhou
(Beijing Key Lab of Urban Road Transportation, Intelligent Control Technology, North China University of Technology, Beijing 100144, P. R. China)
Abstract
The Beijing road transportation network (BRTN), as a large-scale technological network, exhibits very complex and complicate features during daily periods. And it has been widely highlighted that how statistical characteristics (i.e. average path length and global network efficiency) change while the network evolves. In this paper, by using different modeling concepts, three kinds of network models of BRTN namely the abstract network model, the static network model with road mileage as weights and the dynamic network model with travel time as weights — are constructed, respectively, according to the topological data and the real detected flow data. The degree distribution of the three kinds of network models are analyzed, which proves that the urban road infrastructure network and the dynamic network behavior like scale-free networks. By analyzing and comparing the important statistical characteristics of three models under random attacks and intentional attacks, it shows that the urban road infrastructure network and the dynamic network of BRTN are both robust and vulnerable.
Suggested Citation
Zundong Zhang & Xiaoyang Xu & Zhaoran Zhang & Huijuan Zhou, 2018.
"Impact analysis of two kinds of failure strategies in Beijing road transportation network,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(01), pages 1-11, January.
Handle:
RePEc:wsi:ijmpcx:v:29:y:2018:i:01:n:s0129183118500055
DOI: 10.1142/S0129183118500055
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