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Abstract

Track infrastructure is the most fundamental among various elements of urban rail transit (URT) systems, and thus, ensuring the optimal allocation of resources between track segments for inspection and maintenance is a vital objective of rail transit agencies. This article proposes an integrated approach, combing analytic hierarchy process, and improved fuzzy synthetic evaluation, to evaluate the potential risks in track systems and prioritize the inspection and maintenance of various track segments of urban rail systems. Three major steps are determining evaluation indicators, calculating relative importance among indicators, and deciding potential risk levels and crisp values (quantitative actionable results). A case study on a track segment of Beijing URT is conducted to illustrate the evaluation process. The result shows that the risk levels and crisp values obtained from this method are very promising and helpful in evaluating and ranking risk levels for maintenance prioritization.

Keywords

track maintenance prioritization urban rail transit (URT)analytic hierarchy process (AHP)fuzzy synthetic evaluation (FSE)risk reporting matrix

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An Approach to Track Maintenance Prioritization for Urban Rail Transit

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