Resilience assessment framework toward interdependent bus–rail transit network: Structure, critical components, and coupling mechanism

Understanding the interdependent nature of multimodal public transit networks (PTNs) is vital for ensuring the resilience and robustness of transportation systems. However, previous studies have predominantly focused on assessing the vulnerability and characteristics of single-mode PTNs, neglecting the impacts of heterogeneous disturbances and shifts in travel behavior within multimodal PTNs. Therefore, this study introduces a novel resilience assessment framework that comprehensively analyzes the coupling mechanism, structural and functional characteristics of bus–rail transit networks (BRTNs). In this framework, a network performance metric is proposed by considering the passengers’ travel behaviors under various disturbances. Additionally, stations and subnetworks are classified using the k-means algorithm and resilience metric by simulating various disturbances occurring at each station or subnetwork. The proposed framework is validated via a case study of a BRTN in Beijing, China. Results indicate that the rail transit network (RTN) plays a crucial role in maintaining network function and resisting external disturbances in the interdependent BRTN. Furthermore, the coupling interactions between the RTN and bus transit network (BTN) exhibit distinct characteristics under infrastructure component disruption and functional disruption. These findings provide valuable insights into emergency management for PTNs and understanding the coupling relationship between BTN and RTN.

• Record URL:
  • https://doi.org/10.1016/j.commtr.2023.100098
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2772424723000094
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/27724247
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd on behalf of Tsinghua University Press. Abstract reprinted with permission of Elsevier.
• Authors:
  • Liu, Bing
  • 0000-0001-7497-2679
  • Liu, Xiaoyue
  • Yang, Yang
  • 0000-0002-7132-5860
  • Chen, Xi
  • Ma, Xiaolei
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 100098
• Serial:
  • Communications in Transportation Research
  • Volume: 3
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2772-4247
  • Serial URL: https://www.sciencedirect.com/journal/communications-in-transportation-research

Subject/Index Terms

• TRT Terms: Bus rapid transit; Cluster analysis; Disaster resilience; Light rail transit; Mode choice; Travel behavior
• Geographic Terms: Beijing (China)
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation; Security and Emergencies;

Filing Info

• Accession Number: 01889936
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 14 2023 8:44AM