Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework

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 motivat...

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Bibliographic Details
Main Authors: Abdallah B. Al-Hamdan, Yazan Ibrahim Alatoom, Inya Nlenanya, Omar Smadi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:CivilEng
Subjects:
transportation assets
subjective rating
machine learning
feature importance
asset management
pavement performance
Online Access:https://www.mdpi.com/2673-4109/5/4/48
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