Abstract
Massimo Di Gangi, Orlando Marco Belcore, Antonio Polimeni
Abstract
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Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns
10.1016/j.oceaneng.2024.118303 · 2024
Maritime data collection framework for container port benchmarking
10.3390/jmse11081557 · 2023
Does the traffic volume of a port determine connectivity? Revisiting port connectivity measures with high-frequency satellite data
10.1016/j.jtrangeo.2022.103385 · 2022
Container port competitiveness amid disruptions: Insights from the European maritime network during the Red Sea crisis
10.1016/j.jtrangeo.2025.104304 · 2025
Vulnerability of international freight flows to shipping network disruptions: a multiplex network perspective
10.1016/j.tre.2017.10.015 · 2017
Data-driven resilience analysis of the global container shipping network against two cascading failures
10.1016/j.tre.2024.103857 · 2025
Multi-objective resilience-oriented optimisation for the global container shipping network against cascading failures
10.1016/j.tra.2025.104659 · 2025
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
10.1007/978-0-387-75857-2
10.1007/978-0-387-75857-2
Ship routing and scheduling in the new millennium
10.1016/j.ejor.2012.12.002 · 2013
Ship routing and scheduling: status and perspectives
10.1287/trsc.1030.0036 · 2004
Unresolved referenced work
Kept as external metadata until matched
Short- term effects and longer- term impacts of the COVID-19 pandemic on the international shipping and port industries
2023
A line-based algorithm for container routing in shipping networks
10.3390/futuretransp6040160 · 2026
10.1007/978-3-031-97660-5_13
10.1007/978-3-031-97660-5_13
The worldwide maritime network of container shipping: spatial structure and regional dynamics
10.1111/j.1471-0374.2011.00355.x · 2012
Unresolved referenced work
Kept as external metadata until matched
Extracting maritime traffic networks from AIS data using evolutionary algorithm
10.1007/s12599-020-00661-0 · 2020
Shipping network vulnerability assessment integrated with geographical locations
10.1016/j.trd.2024.104166 · 2024
The state-of-play in maritime economics and logistics research (2017–2023)
10.1057/s41278-023-00265-x · 2023
Hub-and-spoke network design for container shipping considering disruption and congestion in the post COVID-19 era
10.1016/j.ocecoaman.2022.106230 · 2022
10.1257/aer.103.7.2935
10.1257/aer.103.7.2935
Exploring container port connectivity in Southeast Asia: an integrated assessment approach
10.1016/j.ajsl.2025.06.003 · 2025
Maritime shipping ports performance: a systematic literature review
10.1007/s43621-024-00299-y · 2024
Vessel schedule recovery strategy in liner shipping considering expected disruption
10.1016/j.ocecoaman.2023.106514 · 2023
Structures of port connectivity, competition, and shipping networks in Europe
10.1016/j.jtrangeo.2022.103360 · 2022
Unresolved referenced work
Kept as external metadata until matched
Optimization of ship routing and allocation in a container transport network considering port congestion: a variational inequality model
10.1016/j.ocecoaman.2023.106798 · 2023
Liner shipping service network design with empty container repositioning
10.1016/j.tre.2011.02.004 · 2011
Assessing the impact on mode competitiveness of improvements of the Trans-Eurasian railway network
2025
Concentration and the formation of multi-port gateway regions in the European container port system: an update
2010
The Red Sea Crisis: ramifications for vessel operations, shipping networks, and maritime supply chains
10.1057/s41278-024-00287-z · 2024
10.4324/9780429318184
10.4324/9780429318184
Strengthening container shipping network connectivity during COVID-19: a graph theory approach
10.1016/j.ocecoaman.2022.106338 · 2022
Unresolved referenced work
Kept as external metadata until matched
Transportation system models to analyse ports competition and cooperation
10.1007/s13437-024-00345-6 · 2024
An integrated procedure to estimate demand flows of maritime container transport at international scale
10.1504/ijstl.2014.059566 · 2014
Attributes influencing port times of container ships
10.1007/s13437-024-00336-7 · 2024
Container ship fleet route evaluation and similarity measurement between two shipping line ports
10.3390/jmse11020400 · 2023
How liner shipping heals schedule disruption: a data-driven framework to uncover the strategic behavior of port-skipping
10.1016/j.tre.2023.103229 · doi-reference
Shipping network disruption, vulnerability and resilience amidst geopolitical tensions
10.1108/mabr-01-2025-0007 · doi-reference
Uncovering the multiplex network of global container shipping: Insights from shipping companies
10.1016/j.jtrangeo.2024.103991 · doi-reference
A transitional response high-fit predictive framework for container vessel contingency reroute
10.1016/j.trd.2025.104915 · doi-reference
A container ship traffic model for simulation studies
10.34768/amcs-2022-0038 · doi-reference
Simulation modeling of super-large ships traffic: insights from Ningbo-Zhoushan Port for coastal port management
10.1016/j.simpat.2024.103039 · doi-reference
Port connectivity in a logistic network: the case of Bohai Bay, China
10.1016/j.tre.2016.04.009 · doi-reference
Port disruptions due to natural disasters: Insights into port and logistics resilience
10.1016/j.trd.2020.102393 · doi-reference
Measuring the effect of distance on the network topology of the Global Container Shipping Network
10.1038/s41598-021-00387-3 · doi-reference
Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models
10.1038/s41598-024-67552-2 · doi-reference
Empty container repositioning in liner shipping1
10.1080/03088830903056934 · doi-reference
Logistics flow disruptions through the Suez Canal: enhancing supply chain risk management and resilience
10.22306/al.v12i3.692 · doi-reference
Assessing the structural resilience of the global crude oil maritime transportation network: a motif-based approach from network to ports
10.1016/j.jtrangeo.2025.104123 · doi-reference
Container ship fleet route evaluation and similarity measurement between two shipping line ports
10.3390/jmse11020400 · doi-reference
Attributes influencing port times of container ships
10.1007/s13437-024-00336-7 · doi-reference
An integrated procedure to estimate demand flows of maritime container transport at international scale
10.1504/ijstl.2014.059566 · doi-reference
Transportation system models to analyse ports competition and cooperation
10.1007/s13437-024-00345-6 · doi-reference
Strengthening container shipping network connectivity during COVID-19: a graph theory approach
10.1016/j.ocecoaman.2022.106338 · doi-reference
10.4324/9780429318184
10.4324/9780429318184 · doi-reference
The Red Sea Crisis: ramifications for vessel operations, shipping networks, and maritime supply chains
10.1057/s41278-024-00287-z · doi-reference
Liner shipping service network design with empty container repositioning
10.1016/j.tre.2011.02.004 · doi-reference
Optimization of ship routing and allocation in a container transport network considering port congestion: a variational inequality model
10.1016/j.ocecoaman.2023.106798 · doi-reference
Structures of port connectivity, competition, and shipping networks in Europe
10.1016/j.jtrangeo.2022.103360 · doi-reference
Vessel schedule recovery strategy in liner shipping considering expected disruption
10.1016/j.ocecoaman.2023.106514 · doi-reference
Maritime shipping ports performance: a systematic literature review
10.1007/s43621-024-00299-y · doi-reference
Exploring container port connectivity in Southeast Asia: an integrated assessment approach
10.1016/j.ajsl.2025.06.003 · doi-reference
10.1257/aer.103.7.2935
10.1257/aer.103.7.2935 · doi-reference
Hub-and-spoke network design for container shipping considering disruption and congestion in the post COVID-19 era
10.1016/j.ocecoaman.2022.106230 · doi-reference
The state-of-play in maritime economics and logistics research (2017–2023)
10.1057/s41278-023-00265-x · doi-reference
Shipping network vulnerability assessment integrated with geographical locations
10.1016/j.trd.2024.104166 · doi-reference
Extracting maritime traffic networks from AIS data using evolutionary algorithm
10.1007/s12599-020-00661-0 · doi-reference
The worldwide maritime network of container shipping: spatial structure and regional dynamics
10.1111/j.1471-0374.2011.00355.x · doi-reference
10.1007/978-3-031-97660-5_13
10.1007/978-3-031-97660-5_13 · doi-reference
A line-based algorithm for container routing in shipping networks
10.3390/futuretransp6040160 · doi-reference
Ship routing and scheduling: status and perspectives
10.1287/trsc.1030.0036 · doi-reference
Ship routing and scheduling in the new millennium
10.1016/j.ejor.2012.12.002 · doi-reference
10.1007/978-0-387-75857-2
10.1007/978-0-387-75857-2 · doi-reference
Multi-objective resilience-oriented optimisation for the global container shipping network against cascading failures
10.1016/j.tra.2025.104659 · doi-reference
Data-driven resilience analysis of the global container shipping network against two cascading failures
10.1016/j.tre.2024.103857 · doi-reference
Vulnerability of international freight flows to shipping network disruptions: a multiplex network perspective
10.1016/j.tre.2017.10.015 · doi-reference