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http://dx.doi.org/10.12652/Ksce.2021.41.5.0591

A Benchmarking Study for Deriving Data-driven Asset Management Strategy: U.S. Federal Transit Administration (FTA) Case  

Baek, Seungwon (Yonsei University)
Yoo, Minkyung (Yeungnam University)
Yun, Sungmin (Yeungnam University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.41, no.5, 2021 , pp. 591-599 More about this Journal
Abstract
Rail transit agencies in Korea have been struggling to set up a performance-based rail facility maintenance plan because there are no formal definition and decision criteria for aging infrastructure. This study investigates the definition of aging infrastructure through extensive literature review and identifies benchmarking criteria through comparison with rail transit facility management systems in Korea and United States. As results, an aging infrastructure should be defined considering both service age and performance level of a facility. The priority of repair/replacement should be also determined with reasonable criteria based on relationship between service age and performance level. To determine the definition and decision criteria, a practicable classification system for aging rail transit needs to be established in accordance with classification system for performance assessment. Furthermore, a comprehensive database needs to be built including useful life, performance level, and maintenance cost of each component of rail transit. It will allow establishing an efficient budget execution plan for aging infrastructure.
Keywords
Aging rail infrastructure; State of good repair; Asset management; Benchmarking;
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