Resilience assessment of an integrated bus-rail network considering dynamic congestion propagation process under traffic congestion events
File version
Version of Record (VoR)
Author(s)
Liu, Xiaowei
Zhu, Shaochuan
Li, Yong
Du, Bo
Yin, Yong
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Abstract
With the rapid pace of urbanization and the rising car ownership, traffic congestion events (TCEs) are becoming more prevalent, which have significantly affected the safety and reliability of urban public transport systems. Proper assessment of the resilience of integrated bus-rail networks to such disruptions is therefore of practical significance. However, the existing studies mainly focus on single transportation mode with limited attention to integrated bus-rail networks under TCEs. Moreover, the influence of the dynamic congestion propagation process on the network resilience is often ignored. To address these gaps, this study proposes a model to assess the resilience of an integrated bus-rail network under TCEs by considering the impact of the dynamic congestion propagation process. Experimental results imply that an integrated bus-rail two-layer network is more resilient to TCEs than the single layered bus network in Chengdu, and the influence of the dynamic congestion propagation process is critical in the resilience assessment.
Journal Title
Reliability Engineering & System Safety
Conference Title
Book Title
Edition
Volume
266
Issue
Part A
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Item Access Status
Note
Access the data
Related item(s)
Subject
Commerce, management, tourism and services
Engineering
Mathematical sciences
Persistent link to this record
Citation
Chen, J; Liu, X; Zhu, S; Li, Y; Du, B; Yin, Y, Resilience assessment of an integrated bus-rail network considering dynamic congestion propagation process under traffic congestion events, Reliability Engineering & System Safety, 2025, 266 (Part A), pp. 111721