Building Resilient and Intelligent Maritime Transportation Systems under Geopolitical Uncertainty
DETAILS
Call for Papers
Building Resilient and Intelligent Maritime Transportation Systems under Geopolitical Uncertainty
Journal: Transportation Research Part E: Logistics and Transportation Review
Publisher: Elsevier
Submission Deadline: 30 November 2026
Field | Details |
|---|---|
Submission Open Date | 24 February 2026 |
Article Type | VSI: MaritimeSystem_Hans |
Deadline | 30 November 2026 |
Overview
This special issue focuses on how maritime transportation systems can become more resilient and intelligent under geopolitical uncertainty. It highlights vulnerabilities in shipping networks, ports, fuel logistics, insurance, and hinterland connectivity, especially when shocks such as corridor closures, attacks, or sanctions disrupt global trade. The issue also emphasizes the role of AI, data fusion, real-time analytics, and digital twins in building adaptive decision support.
Scope
The call welcomes high-quality original research that advances theory, methods, and empirical understanding of maritime resilience. Topics include AI-driven routing and fleet scheduling under shocks, autonomous vessels and intelligent navigation, machine learning for disruption prediction, port congestion modeling, scenario stress testing, network vulnerability diagnosis, insurance and freight pricing impacts, policy and governance, and strategic planning under technology–geopolitics interactions. Submissions may use models, algorithms, simulations, real-world data, case studies, or policy analysis.
Submission Information
Submissions must follow the journal’s author guidelines and must not be published or under review elsewhere. Manuscripts should be submitted through the Transportation Research Part E online system, and authors must select “VSI: MaritimeSystem_Hans” as the article type. Papers should be original and fit the special issue’s focus on resilience, intelligence, and geopolitical uncertainty in maritime transport.
Guest Editors
Jihong Chen — Shenzhen University, Shenzhen, China.
Qiang Meng — National University of Singapore, Singapore.
Ziaul Haque Munim — University of South-Eastern Norway, Horten, Norway.
ServiceSetu Academics — Premier Platform for Academic Opportunities & Research Collaboration
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