Robustness analysis of urban transit network based on complex networks theory

Abstract

PurposeThe purpose of this paper is to attempt to realize the optimization of cascading failure process of urban transit network based on Load‐Capacity model, for better evaluating and improving the operation of transit network.Design/methodology/approachRobustness is an essential index of stability performance for urban transit systems. In this paper, firstly, the static robustness of transit networks is analyzed based on the complex networks theory. Aiming at random and intentional attack, a concrete algorithm process is proposed on the basis of Dijstra algorithm. Then, the dynamic robustness of the networks, namely cascading failure, is analyzed, and the algorithm process is presented based on the Load‐Capacity model. Finally, the space‐of‐stations is adopted to build the network topology of Foshan transit network, and then the simulation analyses of static and dynamic robustness are realized.FindingsResults show that transit network is robust to random attack when considering static robustness, but somewhat vulnerable to intentional attack. For dynamic robustness analysis, a large‐scale cascade of transit network may be triggered when the tolerance parameter α is less than a value, so that the robustness of transit network can be improved through some reasonable measures.Practice implicationsThe results of this study provide useful information for urban transit network robustness optimization.Originality/valueAn effective method for analyzing the static and dynamic robustness of transit network is provided in this paper.

A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory

“…(i) Initially, the station initial load is directly defined as the topological parameters such as the station betweenness (Ma et al [99], Zou et al [100]). Subsequently, it has developed to consider the impact of the weights (station strength) and the adjacent stations (Du et al [101]) or define it based on the actual bus card passenger flow data fitting (He et al [102]).…”

“…(ii) Initially, the rule of failure load dynamic redistribution involves only the dynamic update of station states and does not have the strict load redistribution process (Ma et al [99]); or the spreading process involves the failure load redistribution based on the proportion of adjacent station capacity (Zhang et al [69]), the shortest path redistribution (Zou et al [100], He et al [102]), but does not consider the congestion effect on edge (road section) and the conscious dynamic game process existing in path selection behavior. Subsequently, it has developed to introduce the congestion effect of road section based on the BPR road impedance function [103], so that the dynamic resilience model of single layered PTN based on user equilibrium evacuation is further established (Zhang et al [32], Huang et al [104]).…”

Research on urban public traffic network with multi-weights based on single bus transfer junction

“…In recent years, as scholars probe deeper into complex network, its application in public traffic network has been given much attention [14][15][16][17][18][19][20][21]. Much recent research suggest that the public traffic network just focus on networking static characteristics, for example, the degree distribution of the vertex, average shortest paths and clustering coefficient and so on, and rarely extend into the dynamic characteristic, such as the growth of edges and nodes, the change of passenger flow, human schedule, and their impact to the whole public traffic network.…”

The Impact of Urban Complex Function Zoning on Traffic

“…"Machu Picchu charter" pointed out that the city should be designed as a whole, and should not be considered separately from the various functions of the city zone. "Land Mass Impact Assessment Manual" [2] analysis of the urban complex land mass and study the impact of the traffic [3]. Wang Wei's theory and method of urban transportation planning summarizes the relevant theories of urban planning and transportation.…”