Robustness Assessment of Urban Rail Transit Network Based on the Interdependency Analysis: Chongqing Rail Transit in Jiangbei and Yuzhong as an Example

Abstract

As transportation demand develops, urban rail transit networks become increasingly crowded, making them more linked and harder to manage. Furthermore, system failures and climate change are expected to increase the number of disruptions. Consequently, evaluating system robustness is critical to ensure it's operating safely. Complex network theory is used to investigate the overall topological structure of the urban rail transportation network (URTN). Attack strategies for URTN are designed when the topological and robustness analysis parameters have been calculated. According to the research, malicious attacks have a more significant effect on system robustness than random attacks. The proposed methodology is applied to the Chongqing rail transit in the Jiangbei and Yuzhong districts.