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Descripción
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| Present research presents a methodology which has been 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 research takes place in the European space, which includes data from 30 countries (28 members of the European Union plus Norway and Iceland). Bayesian network is constructed with 35 indicators selected, which are classified into 5 different categories: international trade and transport, economy and finance, population and social condition, environment and energy, and institutional and political. Results show that variables RCU (capacity of LNG regasification terminals under construction) and MSFT INW (modal distribution of cargo transport by inland waters) are the two root nodes of the network. In addition, the variables of transport and international trade category and economy and finance category become the most important in the decision to implement LNG as fuel in the maritime stretch of motorways of the sea. However, environment and energy variables and population and condition ones are the most dependent on the network. | |
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Internacional
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Si |
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Nombre congreso
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The 5th International Virtual Research Conference In Technical Disciplines |
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Tipo de participación
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960 |
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Lugar del congreso
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Zilina (Eslovaquia) |
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Revisores
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Si |
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ISBN o ISSN
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978-80-554-1375-4 |
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DOI
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10.18638/rcitd.2017.5.1.100 |
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Fecha inicio congreso
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13/11/2017 |
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Fecha fin congreso
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17/11/2017 |
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Desde la página
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62 |
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Hasta la página
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67 |
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Título de las actas
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Proceedings in Technical Disciplines. RCITD 2017 |