Strategies to Enhance the Resilience of an Urban Rail Transit Network
Document Type
Journal Article
Publication Date
2022
Subject Area
place - asia, place - urban, mode - rail, mode - subway/metro, infrastructure - maintainance, infrastructure - station, planning - methods, planning - network design
Keywords
public transportation, rail transit systems, rail, railroad infrastructure design and maintenance, resilience and sustainability
Abstract
An urban rail transit (URT) system is an important component of an urban infrastructure system; however, it is vulnerable to disturbances, such as natural disasters and terrorist attacks. Constructing a highly resilient URT network has practical significance for enhancing its capability to respond to disturbances. In this paper, models are developed to optimize a URT network’s structure with regard to resilience and to enhance the resilience of a disrupted URT network. A bi-level programming model that aims to maximize a URT network’s global accessibility and global efficiency is formulated to optimize the structure of the network. A novel repair strategy, called the simulation repair strategy, is proposed to enhance the resilience of a disrupted URT network by optimizing the repair sequence of failed stations. The models are utilized to enhance the resilience of the Chengdu subway network. The result indicates that the bi-level programming model guides the construction of new links to optimize the structure of the Chengdu subway network. Deliberate attacks are more harmful to the Chengdu subway network than random attacks. The network’s operators need to pay attention to the operations of critical stations (e.g., Chunxi Road station and Tianfu Square station) to prevent disturbances from exerting considerable negative effects on the network’s normal operations. The simulation repair strategy exhibits higher repair efficiency than the conventional repair strategy, and it effectively enhances the resilience of the disrupted Chengdu subway network.
Rights
Permission to publish the abstract has been given by SAGE, copyright remains with them.
Recommended Citation
Chen, J., Liu, J., Peng, Q., & Yin, Y. (2022). Strategies to Enhance the Resilience of an Urban Rail Transit Network. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2676(1), pp. 342-354.
