We use cookies to improve your website experience. To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy. By closing this message, you are consenting to our use of cookies.

Special Issue: Artificial Intelligence & Big Data in Shipping

Maritime Policy & Management's Special Call for Papers

Deadline: 31 October 2019

Editorial information

Special Issue Guest Editors

  • Kum Fai Yuen, Department of International Logistics, Chung-Ang University (yuenkf@cau.ac.kr)

  • Gangyan Xu, School of Architecture, Harbin Institute of Technology, Shenzhen, China (gangyan@hit.edu.cn)

  • Jasmine Siu Lee Lam, School of Civil and Environmental Engineering, Nanyang Technological University, Singapore (sllam@ntu.edu.sg)

Maritime Policy & Management

Table of Contents for Maritime Policy & Management. List of articles from both the latest and ahead of print issues.

Language: en-UK

Publisher: Routledge

Visit Journal Articles

Read about Maritime Policy and Management's special issues here

Technology is advancing rapidly nowadays and leading the transformation of the shipping industry. A huge amount of data regarding every aspect of shipping could be collected that provide rich avenues and vast opportunities to improve the business and operation processes of shipping. Meanwhile, the booming of Artificial Intelligence (AI) makes it possible to effectively reap the benefits of big data and create huge impacts to the industry. It has been widely acknowledged that AI and big data play an ever more important role in driving efficiency and coping with upcoming regulations as well as mounting market pressure in the shipping industry.

The application of AI or big data is gaining grounds in various segments of the shipping industry and has pushed the productive efficiency boundaries of maritime firms. Nevertheless, new challenges and concerns over their wide usage have also surfaced. It changes the ways in which shipping firms make decisions and challenges their traditional management strategies and operation modes. More importantly, it demands new AI methods, big data analytics algorithms, and optimisation models to facilitate the decision-making processes at each phase of the shipping industry.

This special issue at Maritime Policy & Management aims to bring together recent technological and methodological advancements concerning AI and big data in the shipping industry. It also welcomes submissions related to improving human-AI interface or AI-ergonomics in the shipping industry. Both research and review papers are welcomed.

The topics that will be considered in this special issue include (but not limited to):

  1. Data-driven optimisation for operations management in shipping
  2. Internet of Things (IoT) technologies and applications
  3. Maritime network optimisation
  4. Autonomous ships: technologies and applications
  5. Predictive modelling and analysis using big data
  6. Large-scale multi-dimensional maritime data mining
  7. Data-driven maritime risk management
  8. Data security and privacy issues in shipping
  9. Human-AI interface and AI-ergonomics in shipping
  10. Critical success factors of AI and big data in shipping
  11. Sustainability in Shipping
  12. Inland transportation optimisation


Submission guidelines

All submissions have to be made via the journal's online submission system: here.

Read the full instructions for authors: here.

For any further enquiries, please contact Co-Editor, Kum Fai Yuen.

Important dates:

  • 31-Oct 2019: Deadline of manuscript submission (first submission)
  • 30-Nov 2019: Return of review reports to authors for revisions
  • 29-Feb 2020: Submission of revised manuscript
  • 31-Mar 2020: Deadline of submitting final manuscript
  • Early 2020: Publication of the special issue