GOAPORT – A Tool for Port Planning

  1. Martínez-Pardo, Ana
  2. Arcay, Alfonso Orro
  3. Garcia-Alonso, Lorena 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Procedia - Social and Behavioral Sciences

ISSN: 1877-0428

Año de publicación: 2014

Volumen: 162

Páginas: 273-281

Tipo: Artículo

DOI: 10.1016/J.SBSPRO.2014.12.208 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Procedia - Social and Behavioral Sciences

Resumen

The more intensive use of containers for channelling the flows of international trade has led to the ports becomenodes of the main supply chains. As a result, there is a strong competition among port alternatives to attract routes totheir facilities in order to gain the greater share of maritime traffic. The need to identify the variables responsible forthe success of a port over its competitors has led to the birth of a line of research to develop a tool for port planning.This tool, called GOAPORT, is being developed in the framework of discrete choices modes which allows us toidentify these variables and forecasting market shares in different situations from current one.To calibrate it we need a data with the maximum possible detail. But surveys are very expensive and public dataavailable is sparse and too aggregated. The problem is compounded when we try to research the Spanish portsystem. Due to confidentiality issues we are not allowed to know directly which ports use the Spanish companies toexport and import their goods abroad.This paper focus on the development of a theoretical model which work a disaggregated level but whose data arepartly aggregated making impossible to know the alternative chosen at a disaggregated level. This model, let us usethe Spanish public data at the highest level of detail possible. Thus it, it can explain and predict the port choice byknowing characteristics of the company, the place where they are located, the land which they trade, trade goods,and of course, port characteristics.Furthermore, the methodology set up could be reuse and applied it in other fields as long as they have the samecommon structure of public data

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