Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation
File version
Author(s)
Yue, Mengfan
Du, Bo
Peng, Qiyuan
Yin, Yong
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Bilbao, Spain
License
Abstract
Both urban rail transit (URT) and regular bus transit (RBT) systems are essential components of a multi-modal transport system in metropolises. The efficient and effective cooperation between URT and RBT systems plays an important role in enhancing the reliability and resilience of a URT system to quickly respond to disruptions. In this study, a resilience enhancement model for the URT network is proposed to enhance its resilience by temporarily adjusting RBT operation. The model considers trains' turn-back operation and passengers' travel behavior under short-term disruptions, and it is solved by developing a two-stage solution algorithm. The model is applied to Chengdu subway network in numerical experiments. The numerical results indicate that the number of passengers adopting the adjusted RBT feeder service increases with the severity of disruption. The proposed model helps to enhance the network's resilience under disturbances.
Journal Title
Conference Title
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Urban and regional planning
Transport planning
Persistent link to this record
Citation
Chen, J; Yue, M; Du, B; Peng, Q; Yin, Y, Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023