Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Looking for an efficient port planning: analysis of Spanish Port System through artificial intelligence
Year:2017
Research Areas
  • Information technology and adata processing,
  • Civil engineering and architecture
Information
Abstract
Nowadays, society claim for efficiency and efficiency of managed resources, so, making-decision people look for transparency and good planning practices. In particular case of ports, many variables are involved on it, so Bayesian networks are a useful tool to make an efficient planning because this kind of networks allow to know relationships between variables, even when they are a great number of them. In order to facilitate this work, the following study is carried out in which, through the construction of a Bayesian network, the. Agent can know interesting information about how port variables are connected and can insert possible actions based on utility of their results, even when number of variables is high as occurs in planning and management of port terminals. There are a low number of studies related to this, so, our research includes more than 40 port variables, belonging to the four dimension of port sustainability. Main obtained conclusion shows that economic variables are the network parents in most of cases, so, their consideration is very important in planning decision-making. Their knowledge even allows to estimate probability of the rest of variables including in the network.
International
Si
JCR
No
Title
World Scientific News
ISBN
2392-2192
Impact factor JCR
Impact info
Volume
Journal number
From page
75
To page
91
Month
AGOSTO
Ranking
Participants
  • Autor: Beatriz Molina Serrano (UPM)
  • Autor: Maria Nicoleta Gonzalez Cancelas (UPM)
  • Autor: Francisco Jose Soler Flores (UPM)
  • Autor: Alberto Camarero Orive (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Ingeniería Marítima y Portuaria
  • Departamento: Matemática e Informática Aplicadas a la Ingenierías Civil y Naval
  • Departamento: Ingeniería Civil: Transporte y Territorio
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)