Seaport Sustainable: Use of Artificial Intelligence to Evaluate Liquid Natural Gas Utilization in Short Sea Shipping

Abstract In the present research, a methodology is developed to determine the relationship between the variables that define the use of liquefied natural gas in short sea shipping in Europe, through the use of data-mining techniques. The project takes place in the European space, which includes data...

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Bibliographische Detailangaben

Veröffentlicht in:	Transportation Journal. - Pennsylvania State University Press, 2019. - 58(2019), 3, Seite 197-221
1. Verfasser:	González-Cancelas, Nicoleta (VerfasserIn)
Weitere Verfasser:	Serrano, Beatriz Molina, Soler-Flores, Francisco
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	Transportation Journal
Schlagworte:	Liquid natural gas short sea shipping data mining artificial intelligence Bayesian networks