Maritime transport is considered as the lynchpin of global trade. In the past decades, a large
number of academic articles in the maritime transport field have been published. This study …

Following the outbreak of the COVID-19 pandemic, various lockdown strategies restrained
global economic growth bringing a significant decline in maritime transportation. However …

This study presents a novel approach to forecast freight rates in container shipping by
integrating soft facts in the form of measures originating from surveys among practitioners …

This study forecasts container freight rates using three seasonal univariate models—
Seasonal Autoregressive Integrated Moving Average (SARIMA), Seasonal Neural Network …

With the increasing availability of large datasets and improvements in prediction algorithms,
machine-learning-based techniques, particularly deep learning algorithms, are becoming …

This study proposes a two-tier cross-validation and backtesting procedure, including
expanding and rolling-window test metrics in predictive analytics of container freight rates by …

Volatile and cyclical shipbuilding demand has consistently been a risk for the shipbuilding
industry. This study analyzes the shipping market from a macro perspective and proposes a …

To know the development of shipping economics, it is meaningful to overview shipping
economics systemically from the perspective of markets and the shipping industry chain. To …

A consequence of the pandemic was significant disruption to global container flows from
2020 to 2022, with cargo time spent in containers, container ship congestion in ports, and …

The purpose of this study is to predict North Korea's cargo volume per port, per item, using
system dynamics. The products of which expected volumes are predicted include iron ore …