Resilience-based post-disaster repair strategy for integrated public transit networks

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.

KEYWORDS:

• Urban traffic
• integrated public transit
• optimisation model
• resilience
• repair strategy

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research was funded by the National Key Research and Development Program of China [grant number 2022YFC3803700].