Abstract
Railway network operations are vulnerable to unplanned events such as failures of network components and natural disasters. These events normally cause timetable disruption, which might lead to serious impacts on both passengers and freights in the network. This paper presents a railway disruption management model that can be applied to assess and compare the efficiency of short-turning strategies implemented to solve an unplanned-track blockage situation. The model is constructed based on a stochastic-discrete event simulation concept. The application of the proposed model is demonstrated using the urban railway network in the UK. The results of the computational experiments illustrate that the proposed model is a useful tool to support a decision-making process to solve a track blockage situation in the real world.
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