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Identifying the key factors of intermodal travel using interpretative ensemble learning

Jianhong Ye Lei Gao Jihao Deng

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.223-239,17.

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.223-239,17.DOI:10.1016/j.ijtst.2024.09.004

Identifying the key factors of intermodal travel using interpretative ensemble learning

Jianhong Ye ¹Lei Gao ¹Jihao Deng²

作者信息

1. Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji University,Shanghai 201804,China
2. Department of Civil and Mineral Engineering,University of Toronto,Toronto M5S1A4,Ontario,Canada
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摘要

关键词

Interpretable machine learning(ML)/Ensemble learning/Intermodal travel/Impact factor identification

分类

交通工程

引用本文复制引用

Jianhong Ye,Lei Gao,Jihao Deng..Identifying the key factors of intermodal travel using interpretative ensemble learning[J].International Journal of Transportation Science and Technology,2025,19(3):P.223-239,17.

基金项目

supported by the National Natural Science Foundation of China(No.52172320) （No.52172320）

the Fundamental Research Funds for the Central Universities(Nos.2023-4-ZD-01 and 22120210542). （Nos.2023-4-ZD-01 and 22120210542）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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