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Chronis Kapalidis, Stavros Karamperidis, Tim Watson and Georgios Koligiannis
The maritime sector is a vital component of the global economy. Its international nature supersedes state boundaries and any disruption in its operations could have consequent and collateral global effects, affecting the socio-economic wellbeing of regio...
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João N. Ribeiro da Silva, Tiago A. Santos and Angelo P. Teixeira
This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The methodology includes methods for AIS message decoding and ship emission estimation based on the ship?s technical and operational characteri...
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Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe...
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Bojan Be?kovnik, Marina Zanne and Marko Golnar
This study addresses the highly topical issue of the impact of the COVID-19 pandemic on port logistics. The impacts are reflected in all three pillars of sustainable operations and development that port logistics should pursue. The economic impact is str...
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Jelena J. Stankovic, Ivana Marjanovic, Jason Papathanasiou and Sa?a Drezgic
Maritime transport and ports are among the most important linkages between global economies, handling more than 90% of internationally traded goods. Economic importance of maritime transport imposes significant implications on the social and environmenta...
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Salvatore Barberi, Mariacrocetta Sambito, Larysa Neduzha and Alessandro Severino
In recent decades, maritime transport demand has increased along with world population and global trades. This is associated with higher pollution levels, including the emissions of GHG and other polluting gases. Ports are important elements within marit...
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Guoqiang Shen, Xiaoyi Yan, Long Zhou and Zhangye Wang
In this research, we developed a novel model framework consisting of data mining (DM), linear programming (LP), and an all-or-nothing (AON) flow assignment to estimate maritime freight flows between the United States and the rest of the world. We first b...
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Dorota Ksiazkiewicz , Michal Tuszynski
Pág. 41 - 58
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Yanbin Yang and Wei Liu
As an important hub in the maritime transportation system, ports are vulnerable to events such as terrorist attacks, security accidents and bad weather. The failure of port nodes to function effectively affects the connectivity and efficiency of the ship...
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Qiang Zhang, Shunhao Pu and Ming Yin
Transshipment hubs are important components of the global container shipping network. Nowadays, hybrid ports are emerging, handling both gateway and transshipment container traffic depending on their significant maritime connectivity. Effectively identif...
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Huang Wei, Eduardo Müller-Casseres, Carlos R. P. Belchior and Alexandre Szklo
The International Maritime Organization (IMO) has recently revised its strategy for shipping decarbonization, deepening the ambition to reduce annual greenhouse gas emissions by 2050. The accomplishment of this strategy requires the large-scale deploymen...
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Zhihuan Wang, Chenguang Meng, Mengyuan Yao and Christophe Claramunt
Maritime ports are critical logistics hubs that play an important role when preventing the transmission of COVID-19-imported infections from incoming international-going ships. This study introduces a data-driven method to dynamically model infection ris...
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Tomohiro Saito, Ryuichi Shibasaki, Shinsuke Murakami, Kenmei Tsubota and Takuma Matsuda
This study applied graph theory to conduct an empirical analysis of the evolution of global maritime container shipping networks, mainly focusing on the 1970s. In addition to analyzing the change in overall structures of the networks over the long term (...
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Mohamed Amine Ben Farah, Elochukwu Ukwandu, Hanan Hindy, David Brosset, Miroslav Bures, Ivan Andonovic and Xavier Bellekens
The paper presents a classification of cyber attacks within the context of the state of the art in the maritime industry. A systematic categorization of vessel components has been conducted, complemented by an analysis of key services delivered within po...
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Duc Cong Vu,Kihwan Lee,Hoang Long Vu
Pág. 118 - 131
This research examines the causal nexuses of the taxations and financial elements in the synchronistic policy that Singapore has applied to radically boost its maritime & offshore fields to develop its economic growths and make Singapore to be a remarkab...
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Lin Wu, Yongjun Xu and Fei Wang
Considering that ports are key nodes of the maritime transport network, it is of great importance to identify ships? arrivals and departures. Compared with partial proprietary data from a port authority or shipping company, approaches based on compulsory...
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Marlene Calderón, Diana Illing, Jaime Veiga
Pág. 2431 - 2440
Emission reduction targets are driving a new way of thinking and a range of technological solutions within the shipping and port sectors. So far, four major solutions have been identified for cleaner ship fuels: (i) Marine Gas Oil, (ii) Heavy Fuel Oil + ...
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Adam K. Prokopowicz, Jan Berg-Andreassen
Pág. 2910 - 2919
The Transatlantic Trade and Investment Partnership (TTIP) will increase containerized cargo flows on the Atlantic route. This increase will have to be accommodated by ports, terminals, and ships. The introduction of Very Large Container Ships (VLCS) and ...
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Marikka Heikkilä, Heidi Himmanen, Olli Soininen, Sanna Sonninen and Jukka Heikkilä
The maritime industry is rapidly evolving with digital technologies, aiming to enhance efficiency, safety, and sustainability. Recent interest has focused on autonomous vessels and the digitalization of ports, yet fairway development has lagged behind. T...
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Zhaojin Yan, Guanghao Yang, Rong He, Hui Yang, Hui Ci and Ran Wang
Automatic identification systems (AIS) provides massive ship trajectory data for maritime traffic management, route planning, and other research. In order to explore the valuable ship traffic characteristics contained implicitly in massive AIS data, a sh...
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