Resilience-based post-disaster repair strategy for integrated public transit networks
Document Type
Journal Article
Publication Date
2024
Subject Area
place - urban, planning - integration, planning - methods, ridership - perceptions, organisation - management
Keywords
Urban traffic, integrated public transit, optimisation model, resilience, repair strategy
Abstract
The resilience of public transit systems has become a critical issue due to their essential role in urban mobility. However, the challenges of repair selection and sequencing in integrated public transportation networks (IPTN) have not been fully explored. Therefore, we propose a bi-level resilience-based repair strategy optimisation (RRSO) model to investigate the optimisation of resilience in IPTN. To consider trip selection and account for cascade failure processes, a lower-level traffic assignment model was integrated into a single-layer RRSO model. In the traffic assignment model, perceived travel time reflects the traffic impedance of public transportation. Additionally, to assess the performance of the RRSO model under emergency repair conditions, random variables were introduced to represent uncertain factors in the traffic environment. Finally, the results demonstrate that the RRSO model outperforms standard empirical repair strategies. This study provides theoretical insights into the management of urban public transportation.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Liu, Z., Sun, D., Chen, H., Hao, W., Wang, Z., & Tang, F. (2024). Resilience-based post-disaster repair strategy for integrated public transit networks. Transportmetrica B: Transport Dynamics, 12(1), 1-25.
