DOI The first research issue deals with their deployment on designing shipping routes on the East—West corridor. The second issue compares their operational characteristics to realize their strength and weakness. The empirical work is carried out using route records of the top 20 shipping lines from to

Author:Kagadal Kekazahn
Country:Cayman Islands
Language:English (Spanish)
Published (Last):17 November 2014
PDF File Size:13.25 Mb
ePub File Size:6.40 Mb
Price:Free* [*Free Regsitration Required]

We'd like to understand how you use our websites in order to improve them. Register your interest. The shipping network plays an important role in the operation of container liner shipping.

It provides a system on which transportation activities take place. This article aims to study the topological structure of the shipping network on the East-West corridor from to The theoretical background is based on graph theory, statistical techniques, social network analysis, and transportation network structure. Data is deployed from the service information published in Containerisation International Yearbooks and processed by designated computer programs.

The expansion of the shipping network to adapt to the growth of global trade is displayed by the increase of deployed fleet, the number of served ports and weekly calls. Major features of arcs on the network are identified in respect of nautical distance, travelling time and assortativity. Port strength on the network is evaluated on the basis of degree centrality with the majority of the largest degree ports located in East Asia.

The power law distribution of port degree indicates the existence of many small degree ports and only a few high degree ones. Highly positive correlation coefficients between port degree and throughput express the causal link between them. The dynamics of regional networks is observed through network indicators. A salient trend is the de-concentration process happening in many regions during which secondary ports grown strongly and have lowered the centrality of bigger ones.

This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. Alderton, P. Port Mangement and Operations. London: Informa. Google Scholar. Aversa, R. A mixed integer programming model on the location of a hub port in the East Coast of South America. Agarwal, R. Transportation Science , 42 2 , — Operations Research , 58 6 , — Baird, A. Optimising the container transhipment hub location in northern Europe.

Journal of Transport Geography , 14 3 , — Cariou, P. Is slow steaming a sustainable means of reducing CO2 emissions from container shipping? Transportation Research Part D , 16 , — Chang, Y.

Port selection factors by shipping lines: Different perspectives between trunk liners and feeder service providers. Marine Policy , 32 , — Christiansen, M. Ship routing and scheduling in the new millennium. European Journal of Operational Research , , — Cisic, D.

Network analysis applied to Mediterranean liner transport. Athen, Greece. Containerisation International. Containerisation International Yearbooks.

Cullinane, K. The hierarchical configuration of the container port industry: an application of multiple linkage analysis. Deloitte Resource document. Deng, W. Chinese Physics Letters , 26 11 , Dicken, P. Global shift — Mapping the changing contours of the world economy. London: Sage. Container market - annual review and forecast. London: Drewry Shipping Consultants. Ducruet, C. Network diversity and maritime flows. Journal of Transport Geography , 30 , 77— Cities in worldwide air and sea flows: A multiple networks analysis.

Cybergeo: European Journal of Geography , Y Centrality and vulnerability in liner shipping networks: revisiting the Northeast Asian port hierarchy. Network position and throughput performance of seaports In Notteboom T.

London: Kogan Page. E The worldwide maritime network of container shipping: Spatial structure and regional dynamics. Global Networks , 12 3 , — Maritime constellations: a complex network approach to shipping and ports. ESCAP Comparative analysis of port tariffs in the escap region. United Nations: New York. Fagerholt, K. Designing optimal routes in a liner shipping problem.

Ferrari, C. Network economies in liner shipping: the role of home markets. Facing the economic crisis by cutting costs: The impact of slow—steaming on container shipping networks. Francesco, M. Maritime repositioning of empty containers under uncertain port disruptions. Fremont, A.

Ahsgate Farnham and Burlington. Global maritime networks - The case of Maersk. Journal of Transport Geography , 15 , — Gelareh, S. Hub-and-spoke network design and fleet deployment for string planning of liner shipping.

Applied Mathematical Modelling , 37 , — Genco, P. Transhipment and liner network restructuring: opportunities and threats for Mediterranean ports. Hayut, Y. Containerization and the Load center concept.

Economic Geography , 57 2 , — Hu, Z. Empirical analysis of the worldwide maritime transportation network. Physica A , , — Imai, A. Multi-port vs. Hub-and-Spoke port calls by containerships. Transportation Research Part E , 45 , — Low, J. C Network effects in the East Asia container ports industry. Kaluza, P.


ISBN 13: 9781843119258



Empirical analysis of the container liner shipping network on the East-West corridor (1995–2011)



Containerisation international / Yearbook



World Development Indicators


Related Articles