TOWARD A DEEPER UNDERSTANDING OF CHANGE ORDERS IN HIGHWAY CONSTRUCTION: A DATA-DRIVEN EMPIRICAL APPROACH

Jeongyoon Oh, Baabak Ashuri

DOI: 10.35490/EC3.2025.475

Keywords: Change Order, Construction Informatics, Data-driven risk assessment, Machine Learning-Integrated Recurrent Event Modeling, Project Delivery

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TOWARD A DEEPER UNDERSTANDING OF CHANGE ORDERS IN HIGHWAY CONSTRUCTION: A DATA-DRIVEN EMPIRICAL APPROACH

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