ARTÍCULO
TITULO

Short Sea Shipping in the Age of Sustainability, Autonomous Navigation and Digitalization

Pedro M. Batista Santos and Tiago A. Santos    

Resumen

This paper presents the comprehensive state-of-the-art on the challenges that short sea shipping currently faces across the world. The concept and its relationship with coastal shipping are introduced, followed by a review of the EU policies for short sea shipping and its practical impacts in modal split. A survey of the literature on the strong and weak points of this form of transportation is carried out, aimed at explaining the difficulties in achieving relevant modal shifts from road to sea. The experience with short sea shipping across the world is described and discussed, providing a global perspective. The paper then discusses the main challenges and opportunities in this field, namely decarbonisation, autonomous navigation, and digitalization. Conclusions are drawn on the possible impact of these game changing developments in this segment of the shipping industry.

 Artículos similares

       
 
Pengfei Ning, Dianjun Zhang, Xuefeng Zhang, Jianhui Zhang, Yulong Liu, Xiaoyi Jiang and Yansheng Zhang    
The Array for Real-time Geostrophic Oceanography (Argo) program provides valuable data for maritime research and rescue operations. This paper is based on Argo historical and satellite observations, and inverted sea surface and submarine drift trajectori... ver más

 
Qian Liu, Xiaofeng Zhao, Jing Zou, Yunzhou Li, Zhijin Qiu, Tong Hu, Bo Wang and Zhiqian Li    
The Coupled Ocean?Atmosphere?Wave?Sediment Transport (COAWST) model serves as the foundation for creating a forecast model to detect lower atmospheric ducts in this study. A set of prediction tests with different forecasting times focusing on the South C... ver más

 
Juanjuan Feng, Jia Li, Wenjie Zhong, Junhui Wu, Zhiqiang Li, Lingshuai Kong and Lei Guo    
Arctic sea ice prediction is of great practical significance in facilitating Arctic route planning, optimizing fisheries management, and advancing the field of sea ice dynamics research. While various deep learning models have been developed for sea ice ... ver más

 
Nasser Alenezi, Abdalrahman Alsulaili and Mohamad Alkhalidi    
Creating an efficient model for predicting sea level fluctuations is essential for climate change research. This study examined the effectiveness of utilizing Artificial Neural Networks (ANNs), particularly the recurrent network approach. ANNs were chose... ver más

 
Panagiotis Farmakis, Athanasios Chassiakos and Stylianos Karatzas    
Hub-and-Spoke (H&S) network modeling is a form of transport topology optimization in which network joins are connected through intermediate hub nodes. The Short Sea Shipping (SSS) problem aims to efficiently disperse passenger flows involving multipl... ver más
Revista: Algorithms