Teaching freight mode choice models new tricks using interpretable machine learning methods

Understanding and forecasting complex freight mode choice behavior under various industry, policy, and technology contexts is essential for freight planning and policymaking. Numerous models have been developed to provide insights into freight mode selection; most use discrete choice models such as...

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书目详细资料
Main Authors: Xiaodan Xu, Hung-Chia Yang, Kyungsoo Jeong, William Bui, Srinath Ravulaparthy, Haitam Laarabi, Zachary A. Needell, C. Anna Spurlock
格式: 文件
语言:English
出版: Frontiers Media S.A. 2024-03-01
丛编:Frontiers in Future Transportation
主题:
在线阅读:https://www.frontiersin.org/articles/10.3389/ffutr.2024.1339273/full