Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework
Abdallah B. Al-Hamdan,
Yazan Ibrahim Alatoom,
Inya Nlenanya
et al.
Abstract:This study proposes a novel framework for determining variables’ weights in transportation assets condition indices calculations using statistical and machine learning techniques. The methodology leverages subjective ratings alongside objective measurements to derive data-driven weights. The motivation for this study lies in addressing the limitations of existing expert-based weighting methods for condition indices, which often lack transparency and consistency; this research aims to provide a data-driven fram… Show more
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