Influence of the geographical pattern of foreign trade on the inland distribution of maritime traffic
Ticiana Grecco Zanon Moura,
Lorena Garcia-Alonso () and
Ignacio Del Rosal
Journal of Transport Geography, 2018, vol. 72, issue C, 191-200
Abstract:
Many papers analyse the role of transport infrastructure in the economic development and competitiveness of regions. However, the literature has paid little attention to the impact of the changing patterns of international trade on the use of the infrastructure. The hypothesis of this work is that the evolution of the geographical pattern of countries' foreign trade influences the inland distribution of maritime traffic and, consequently, the use of the infrastructure. The inter-port distribution of the Spanish exports in 2000 and 2015 was analysed in order to confirm the validity of this hypothesis. To that end, the Spatial Interaction Models approach was adopted. The results suggest that the final destination of the flows does influence the inland distribution of the Spanish container flows and, consequently, that the use of the inland transport infrastructure has evolved in line with the geographical pattern of foreign trade.
Keywords: Hinterland; Inland flows distribution; Maritime traffic; Port choice; Foreign trade; Spatial interaction models (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0966692317308591
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:72:y:2018:i:c:p:191-200
DOI: 10.1016/j.jtrangeo.2018.09.008
Access Statistics for this article
Journal of Transport Geography is currently edited by Frank Witlox
More articles in Journal of Transport Geography from Elsevier
Bibliographic data for series maintained by Catherine Liu ().