Optimal bus bridging service for urban rail transit disruptions with stochastic passenger demand.

ABSTRACT: Disruptions in urban rail transit (URT) systems can significantly impact operational efficiency, while well-designed bus bridging service (BBS) can effectively mitigate such effects. To address the surge in travel demand caused by disruptions, this study comprehensively considers alternative transportation modes that affected passengers may adopt (including taxis, shared bicycles, bridging buses, and walking), aiming to minimize both the operational costs of bridging buses and the total travel time of passengers. A travel choice model based on the random regret minimization (RRM) theory is developed to characterize passengers' decision-making behavior following station disruptions. Demand uncertainty is represented using trapezoidal fuzzy variables, and a distributionally robust credibilit

SUBMITTER: Liu Y 

PROVIDER: S-EPMC12503319 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature