Doing shipping well with predictions: machine learning-based port congestion analysis.

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Title: Doing shipping well with predictions: machine learning-based port congestion analysis.
Authors: Zhang, Yizhou1 (AUTHOR), Su, Zhenqing2 (AUTHOR), Li, Jiankun3 (AUTHOR), Su, Miao4 (AUTHOR) marksu@khu.ac.kr, Bae, Sung-Hoon3 (AUTHOR) sunghoonbae@cau.ac.kr
Source: Maritime Policy & Management. Mar2026, Vol. 53 Issue 2, p263-284. 22p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Maritime+Policy+%26+Management%22">Maritime Policy & Management</searchLink>. Mar2026, Vol. 53 Issue 2, p263-284. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192006598
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/03088839.2025.2483993
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 263
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      – TitleFull: Doing shipping well with predictions: machine learning-based port congestion analysis.
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            NameFull: Zhang, Yizhou
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            NameFull: Su, Zhenqing
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            NameFull: Li, Jiankun
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            NameFull: Su, Miao
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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