Abstract
This paper explores the invulnerability of urban agglomeration transportation network under the incomplete information attack strategy. This approach employed the site mapping method to construct the urban agglomeration composite transportation network model, and the network is weighted based on the actual passenger flow. Then the nodes are defined according to the overload conditions. In addition, based on the capacity-load model, the cascading failure model of the urban agglomeration passenger transport network is constructed, and the incomplete information attack strategy and network invulnerability measure index are determined. Finally, the case of Hu-Bao-E-Yu urban agglomeration is simulated to quantify the effects of attack strategies with varied information level, node load factors, and capacity weight and distance weight of the residual connected edge. The results reveal that the network crash speed is positively related to the information span of the attacker unless the information span exceeds 0.9 or accuracy exceeds 0.6. When the information span is low, the information accuracy δ has a critical impact on the network crash speed. Moreover, in the presence of attack, high or low values of node load factor are conducive to the improvement of network invulnerability. As a scale-free network, urban agglomeration transportation network shows strong robustness to random attacks and exhibits vulnerability to deliberate attacks. The capacity weight value α and distance weight value β of residual connected edge have different effects on the network invulnerability under different information span strategies.
Highlights
Research ArticleReceived October 2020; Revised February 2021; Accepted 2 March 2021; Published 18 March 2021
In the process of urbanization, urban agglomeration gradually replaced single city as the basic unit of global competition and division of labor [1]. e multimodal transportation network provides movement for the people and cargoes among cities in the urban agglomeration
Luo and Zhang proposed a cascade failure model based on local priority redistribution rules with the consideration of the difficulty in implementing traditional shortest path routing under load distribution strategy in reality [2]
Summary
Received October 2020; Revised February 2021; Accepted 2 March 2021; Published 18 March 2021. Is paper explores the invulnerability of urban agglomeration transportation network under the incomplete information attack strategy. Based on the capacity-load model, the cascading failure model of the urban agglomeration passenger transport network is constructed, and the incomplete information attack strategy and network invulnerability measure index are determined. The case of Hu-Bao-E-Yu urban agglomeration is simulated to quantify the effects of attack strategies with varied information level, node load factors, and capacity weight and distance weight of the residual connected edge. When the information span is low, the information accuracy δ has a critical impact on the network crash speed. E capacity weight value α and distance weight value β of residual connected edge have different effects on the network invulnerability under different information span strategies As a scale-free network, urban agglomeration transportation network shows strong robustness to random attacks and exhibits vulnerability to deliberate attacks. e capacity weight value α and distance weight value β of residual connected edge have different effects on the network invulnerability under different information span strategies
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