Análisis de las dimensiones institucional, económica, social y ambiental portuarias a través de inteligencia artificial
- Molina Serrano, Beatriz
- González-Cancelas, Nicoletta
- Soler-Flores, Francisco
- Camarero Orive, Alberto
ISSN: 1852-7175
Year of publication: 2018
Issue Title: Caminos
Issue: 18
Pages: 264-284
Type: Article
More publications in: Transporte y Territorio
Abstract
Ports are drivers, but at the same time they are immersed in the processes of globalization of societies. That is why they are not alien to the potential of data mining methodologies, which try to discover patterns in large volumes of data sets such as those handled in the port area: Data mining is a discipline linked to the artificial intelligence that, applied in a port environment, makes it possible to find new tools to increase port sustainability. This article aims to analyze port sustainability through the relationships established between sustainability variables, using artificial intelligence techniques such as Bayesian networks. The main conclusion drawn from the analysis is that the fundamental pillar of port sustainability is the institutional dimension.