Vulnerability assessment of urban rail transit based on multi-static weighted method in Beijing, China
place - asia, place - urban, mode - rail, planning - network design, operations - frequency
Rail transit network, Scale-free, Coupled map lattices, Multi-static weighted network, Vulnerability
Rail transit network (RTN) has become the core of urban public transport system. Because RTN’s topological structure has become complicated with its scale, the phenomenon of overload operation frequently appears at stations or lines, reducing the stability of RTN in operation. There is a need to identify the key stations and to analyze the vulnerability of RTN in depth.
This paper quantitatively analyzes statistical topology parameters of Beijing rail transit network (BRTN) based on complex network theory (CNT). The key stations are evaluated by different evaluation indicators, such as node degree, betweenness, and strength. Then, a model is proposed to analyze the cascading failures of weighted BRTN considering loading and redistribution of multi-static passenger flow based on coupled map lattices (CML).
Results show that when the external perturbation is larger, the time of all stations failure is earlier once the failure is triggered. Moreover, the perturbation threshold for the cascading failure of weighted BRTN is determined. Transfer regularities of the risk stations in BRTN are researched under different combinations of the topological coupling coefficients and the flow coupling coefficients. Under attack, the threshold of loop line damaged is smaller than a straight line. And, while attacking the loop line, the discrete degree of peak time and all station failure time are higher under different perturbations, meaning that failure is hard to control.
This study provides recommendations on developing strategies for RTN design and performance evaluation. Future studies will focus on the coordination of weighted complex public transit networks other than passenger flow redistribution within RTN.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Sun, L., Huang, Y., Chen, Y., & Yao, L. (2018). Vulnerability assessment of urban rail transit based on multi-static weighted method in Beijing, China. Transportation Research Part A: Policy and Practice, Vol, 108, pp. 12-24.