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Assessment on resilience of urban agglomeration transportation system considering passenger choice and load-capacity factor

Author

Listed:
  • Yang, Zhicheng
  • Liu, Xiaobing
  • Wang, Jiangfeng
  • Yan, Xuedong
  • Shen, Rui
  • Huo, Zhengqi

Abstract

Intercity transportation system (ICTS), characterized by large-scale, high spatial-temporal concentration, and sparser departure frequencies, is more vulnerable in unexpected events. Understanding the resilience characteristics of ICTS is crucial for maintaining the network service capabilities. Aiming to conduct effective resilience assessment on ICTS, we develop the resilience simulation model by introduce dual-regulated parameters for network load and capacity into cascading propagation model under interruption events, and quantify the impact of travel distance, time costs, and route redundancy on travel choice of passengers. Meanwhile, propose service resilience indicators from both the passenger's and the system's perspectives. Finally, we conduct a case study on the resilience of ICTS in Beijing-Tianjin-Hebei Urban Agglomerations (BTH-UA). The results show that: 1) Multimodal transportation systems usually exhibit better resilience than unimodal systems. 2) For various resilience optimization metrics, it is essential to choose targeted recovery strategies to maximize network resilience. 3) Traveler sensitivity to travel time significantly influences the resilience of passenger-based network services. 4) Changes in transportation supply capacity and travel demand will impact the system's resilience. The research findings can provide valuable references for the resilience development and management of urban transportation systems.

Suggested Citation

  • Yang, Zhicheng & Liu, Xiaobing & Wang, Jiangfeng & Yan, Xuedong & Shen, Rui & Huo, Zhengqi, 2025. "Assessment on resilience of urban agglomeration transportation system considering passenger choice and load-capacity factor," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024005994
    DOI: 10.1016/j.ress.2024.110527
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