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.
Highlights
Complex networks play an important role in real life.[1]
In many statistical characteristics of the network, the average path length and the global network e±ciency are very representative, and are both used to characterize the global characteristics of the network
The value of global network e±ciency of the dynamic transportation network is reduced to 1/3 of the original. It shows that the infrastructure network and the dynamic transportation network are robust against random failures of nodes, as well as being vulnerable to intentional attacks
Summary
Complex networks play an important role in real life.[1]. Urban road networks, as a kind of large-scale network, usually face two kinds of failures called the random failures and the intentional failures. The intentional failures are those vertices (or edges) defunctionalized by some determined strategy, which was caused by some proposal actives, such as criminal attacks, famous stars' concerts, vital sports games, other big festival and commercial activities, etc.[2] These two kinds of failures have di®erent impact on urban road tra±c networks. To understand the topological properties of the road network and to make a more detailed study of the statistical characteristics of the urban road network under failure conditions, the impact of network failures on urban road network is analyzed. This paper compares three di®erent forms of urban road transportation network models in Beijing by analyzing their main statistical characteristics. We compare the changes of the important statistical characteristics of BRTN under di®erent network failure conditions, and the change of the important statistical characteristics of urban road transportation network in Beijing under di®erent network failure conditions. We provide the analysis results to the transportation management and planning departments, which can provide support for transportation guidance and road network transformation
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