JINGEN ZHOU

Assistant Professor

Kedge Business School

France

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Jingen Zhou is an Assistant Professor at Kedge Business School in France. His research areas include maritime accident severity prediction, international multimodal hub location optimization, and marine traffic flow modeling. He has published extensively on topics such as ship formation scheduling, typhoon influence on navigation, and algorithmic product recommendations. His recent work also focuses on fishing ground identification and collision risk assessment in complex maritime environments.

Articles (17)

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (1)

Wenming Shi

Lecturer

University of Tasmania Australian Maritime College

AUSTRALIA

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JINGEN ZHOU

Research Interests

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Articles (17)

Improving maritime accident severity prediction accuracy: A holistic machine learning framework with data balancing and explainability techniques

Two-phase optimisation approach to international multimodal hub location: the case of China under the belt and road initiative

Ship formation scheduling optimization for the multi-compound channel with deterministic and uncertain arrivals

Typhoon evolution characteristics and influence on ship navigation with polar coordinate data-driven: A case of historical tropical cyclone trajectory

Recommended, purchased, disappointed?- Exploring the divergent effects of algorithmic product recommendations on sales and satisfaction

Model selection for predicting marine traffic flow in coastal waterways using deep learning methods

A novel framework for identifying fishing grounds from AIS data containing vessels of unknown types

A novel regional ship collision risk assessment framework for multi-ship encounters in complex waters

The promotion of Shanghai’s position and function in the global container shipping network

Cruise supply chain risk mitigation strategies: An empirical study in Shanghai, China

The impacts of COVID-19 on the cruise industry based on an empirical study in China

A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: an empirical study in Shanghai, China

Cruise supply chain risk mitigation strategies: An empirical study in Shanghai, China

The impacts of COVID-19 on the cruise industry based on an empirical study in China

A belief rule-based bayesian network approach for assessing risks in the cruise supply chain: An empirical study in Shanghai, China

Empirical Analysis of the Cruise Shipping Network in Asia

Empirical Analysis of the Cruise Shipping Network in Asia

Collaborators (1)

Wenming Shi

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