Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19
Following the outbreak of the COVID-19 pandemic, various lockdown strategies restrained
global economic growth bringing a significant decline in maritime transportation. However …
global economic growth bringing a significant decline in maritime transportation. However …
GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries
The accurate forecasting of future container throughput is important for the construction,
upgrade, and operation management of a port. This study introduces group method of data …
upgrade, and operation management of a port. This study introduces group method of data …
[HTML][HTML] Forecasting container throughput of major Asian ports using the Prophet and hybrid time series models
Forecasting container throughput is critical for improved port planning, operations, and
investment strategies. Reliability of forecasting methods need to be ensured before utilizing …
investment strategies. Reliability of forecasting methods need to be ensured before utilizing …
Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and …
Q Wang, F Jiang - Energy, 2019 - Elsevier
Pennsylvania and Texas accounted for about 60% of US total shale gas production. Better
forecasting shale gas production in Pennsylvania and Texas can serve us to better predict …
forecasting shale gas production in Pennsylvania and Texas can serve us to better predict …
A combined approach to forecast container throughput demand: Scenarios for the Hamburg-Le Havre range of ports
The decision to provide new or additional capacities in the ports is challenging since it
should be supported by a growing demand, which require modelling and forecasting the …
should be supported by a growing demand, which require modelling and forecasting the …
A comparison of time series methods for forecasting container throughput
ABSTRACT A good port data management system can undoubtedly improve a port's
operations. This, in turn, affects the economic development of the port city or region. Given …
operations. This, in turn, affects the economic development of the port city or region. Given …
An empirical study of China–Singapore International Land–Sea Trade Corridor: Analysis from supply and demand sides
Abstract The China–Singapore International Land–Sea Trade Corridor (CS-ILSTC) was
officially proposed in 2018, under the government-to-government framework of the China …
officially proposed in 2018, under the government-to-government framework of the China …
Deep learning-based container throughput forecasting: A triple bottom line approach
Purpose Container throughput forecasting plays a pivotal role in strategic, tactical and
operational level decision-making. The determination and analysis of the influencing factors …
operational level decision-making. The determination and analysis of the influencing factors …
Revisiting traffic forecasting by port authorities in the context of port planning and development
This paper contributes to the extant debate on port planning and development by analysing
current approaches and challenges for academics and port authorities with respect to traffic …
current approaches and challenges for academics and port authorities with respect to traffic …
Estimation of container traffic at seaports by using several soft computing methods: a case of Turkish Seaports
Ü Gökkuş, MS Yıldırım, MM Aydin - Discrete Dynamics in Nature …, 2017 - Wiley Online Library
Container traffic forecasting is important for the operations and the design steps of a seaport
facility. In this study, performances of the novel soft computing models were compared for …
facility. In this study, performances of the novel soft computing models were compared for …