Skip to main content
Log in

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

  • Published:
NETNOMICS: Economic Research and Electronic Networking Aims and scope Submit manuscript

Abstract

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 1995 to 2011. 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 via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Alderton, P. (2008). Port Mangement and Operations. London: Informa.

    Google Scholar 

  2. Aversa, R., Botter, R.C., Haralambides, H.E., Yoshizaki, H.T.Y. (2005). A mixed integer programming model on the location of a hub port in the East Coast of South America. Maritime Economics & Logistics, 7, 1–18.

    Article  Google Scholar 

  3. Agarwal, R., & Ergun, O. (2008). Ship Scheduling and Network Design for Cargo Routing in Liner Shipping. Transportation Science, 42(2), 175–196.

    Article  Google Scholar 

  4. Agarwal, R., & Ergun, O. (2010). Network Design and Allocation Mechanisms for Carrier Alliances in Liner Shipping. Operations Research, 58(6), 1726–1742.

    Article  Google Scholar 

  5. Baird, A.J. (2006). Optimising the container transhipment hub location in northern Europe. Journal of Transport Geography, 14(3), 195–214.

    Article  Google Scholar 

  6. Cariou, P., & Cheaitou, A. (2012). Cascading effect, Network Configuration and Optimal Transhipment Volumes. Paper presented at International Maritime Conference “Clustering Logistics with Ports and Shipping Services in the Time of Free Trade Era”, Taipei, Taiwan, September 2012.

  7. Cariou, P. (2011). Is slow steaming a sustainable means of reducing CO2 emissions from container shipping? Transportation Research Part D, 16, 260–264.

    Article  Google Scholar 

  8. Chang, Y.T., Lee, S.J., Tongzon, J.L. (2008). Port selection factors by shipping lines: Different perspectives between trunk liners and feeder service providers. Marine Policy, 32, 877–885.

    Article  Google Scholar 

  9. Christiansen, M., Fagerholt, K., Nygreen, B. (2013). Ship routing and scheduling in the new millennium. European Journal of Operational Research, 228, 467–483.

    Article  Google Scholar 

  10. Cisic, D., Komadina, P., Hlaca, B. (2007). Network analysis applied to Mediterranean liner transport. In: Proceedings of IAME Conference. Athen, Greece.

  11. Containerisation International. (1996–2012). Containerisation International Yearbooks. London: Informa.

  12. Cullinane, K., & Wang, Y. (2012). The hierarchical configuration of the container port industry: an application of multiple linkage analysis. Maritime Policy & Management, 39(2), 169–187.

    Article  Google Scholar 

  13. Deloitte (2013). 2013 Global Manufacturing Index. Resource document. http://www.deloitte.com/assets/Dcom-UnitedStates/Local%20Assets/Documents/us_pip_GMCI_11292012.pdf Accessed 02 March 2014.

  14. Deng, W.B., Guo, L., Li, W., Cai, X. (2009). Worldwide Marine Transportation Network: Efficiency and Container Throughput. Chinese Physics Letters, 26(11), 118901.

    Article  Google Scholar 

  15. Dicken, P. (2011). Global shift – Mapping the changing contours of the world economy. London: Sage.

    Google Scholar 

  16. Drewry. (2012). Container market - annual review and forecast. London: Drewry Shipping Consultants.

    Google Scholar 

  17. Ducruet, C. (2013). Network diversity and maritime flows. Journal of Transport Geography, 30, 77–88.

    Article  Google Scholar 

  18. Ducruet, C., Ietri, D., Rozenblat, C. (2011). Cities in worldwide air and sea flows: A multiple networks analysis. Cybergeo: European Journal of Geography, 528.

  19. Ducruet, C., Lee, S.W., Ng, A.K.Y (2010). Centrality and vulnerability in liner shipping networks: revisiting the Northeast Asian port hierarchy. Maritime Policy & Management, 37(1), 17–36.

    Article  Google Scholar 

  20. Ducruet, C., Lee, S.W., Roussin, S. (2009). Local strength, global weakness: a maritime network perspective on South Korea as Northeast Asia’s logistics hub. Korea Maritime Institute (KMI) International Journal of Maritime Affairs and Fisheries, 1, 32–50.

    Google Scholar 

  21. Ducruet, C., Lee, S.W., Song, J.M. (2011). Network position and throughput performance of seaports In Notteboom T.E. (Ed.), Current Issues in Shipping, Ports, and Logistics, (pp. 189–201). Bruxelles: Academic and Scientific Publishers (ASP).

  22. Ducruet, C., & Notteboom, T.E. (2012). Developing Liner Service Networks in Container Shipping In Song, D.W., & Panayides, P. (Eds.), Maritime Logistics: A complete guide to effective shipping and port management, (pp. 77–100). London: Kogan Page.

    Google Scholar 

  23. Ducruet, C., & Notteboom, T.E (2012). The worldwide maritime network of container shipping: Spatial structure and regional dynamics. Global Networks, 12(3), 395–423.

    Article  Google Scholar 

  24. Ducruet, C., & Zaidi, F. (2012). Maritime constellations: a complex network approach to shipping and ports. Maritime Policy & Management, 39(2), 151–168.

    Article  Google Scholar 

  25. ESCAP (2002). Comparative analysis of port tariffs in the escap region. United Nations: New York.

  26. Fagerholt, K. (2004). Designing optimal routes in a liner shipping problem. Maritime Policy & Management, 31(4), 259–268.

    Article  Google Scholar 

  27. Ferrari, C., Parola, F., Benacchio, M. (2008). Network economies in liner shipping: the role of home markets. Maritime Policy & Management, 35(2), 127–143.

    Article  Google Scholar 

  28. Ferrari, C., Tei, A., Parola, F. (2012). Facing the economic crisis by cutting costs: The impact of slow–steaming on container shipping networks. In: Proceedings of IAME conference, Taipei, Taiwan.

  29. Francesco, M.D., Lai, M., Zuddas, P. (2013). Maritime repositioning of empty containers under uncertain port disruptions. Computers & Industrial Engineering, 64, 827–837.

    Article  Google Scholar 

  30. Fremont, A., & Parola, F. (2011). Carriers’s Role in Opening Gateways: Experiences from Major Port Regions In Hall, P., McCalla, R.J., Comtois, C., Slack, B. (Eds.), Integrating Seaports and Trade Corridors, (pp. 47–63). Ahsgate Farnham and Burlington.

    Google Scholar 

  31. Fremont, A. (2007). Global maritime networks - The case of Maersk. Journal of Transport Geography, 15, 431–442.

    Article  Google Scholar 

  32. Gelareh, S., Maculan, N., Mahey, P., Monemi, R.N. (2013). Hub-and-spoke network design and fleet deployment for string planning of liner shipping. Applied Mathematical Modelling, 37, 3307–3321.

    Article  Google Scholar 

  33. Genco, P., & Pitto, A. (2000). Transhipment and liner network restructuring: opportunities and threats for Mediterranean ports. In: Proceedings of IAME Conference, Naples, Italy.

  34. Hayut, Y. (1981). Containerization and the Load center concept. Economic Geography, 57(2), 160–176.

    Article  Google Scholar 

  35. Hu, Z., & Zhu, D. (2009). Empirical analysis of the worldwide maritime transportation network. Physica A, 388, 2061–2071.

    Article  Google Scholar 

  36. Imai, A., Shintani, K., Papadimitriou, S. (2009). Multi-port vs. Hub-and-Spoke port calls by containerships. Transportation Research Part E, 45, 740–757.

    Article  Google Scholar 

  37. Low, J.M.W., & Tang, L.C (2012). Network effects in the East Asia container ports industry. Maritime Policy & Management, 39(4), 369–386.

    Article  Google Scholar 

  38. Kaluza, P., Kolzsch, A., Gastner, M.T., Blasius, B (2010). The complex network of global cargo ship movements. J R Soc Interface, 7(48), 1–24.

    Article  Google Scholar 

  39. Kansky, K. (1963). Structure of transportation networks: relationships between network geography and regional characteristics. Research Paper, University of Chicago, Department of Geography, 84.

  40. Lam, J.S.L., Yap, W.Y., Cullinane, K. (2007). Structure, conduct and performance on the major liner shipping routes. Maritime Policy and Management, 34(4), 359–381.

    Article  Google Scholar 

  41. Lam, J.S.L. (2010). An integrated approach for port selection, ship scheduling and financial analysis. Netnomics, 11, 33–46.

    Article  Google Scholar 

  42. Lam, J.S.L. (2011). Patterns of maritime supply chains: slot capacity analysis. Journal of Transport Geography, 19, 366–374.

    Article  Google Scholar 

  43. Laxe, F.G., Seoane, M.J.F., Montes, C.P. (2012). Maritime degree, centrality and vulnerability: port hierarchies and emerging areas in containerized transport (2008–2010). Journal of Transport Geography, 24, 33–44.

    Article  Google Scholar 

  44. Lirn, T.C., Thanopoulou, H., Beynon, M.J., Beresford, A.K.C (2004). An Application of AHP on Transhipment port selection: a global perspective. Maritime Economics & Logistics, 6, 70–91.

    Article  Google Scholar 

  45. Low, J.M.W., Lam, S.W., Tang, L.C. (2009). Assessment of hub status among Asian ports from a network perspective. Transportation Research Part A, 43, 593–606.

    Google Scholar 

  46. Low, J.M.W., & Tang, L.C (2012). Network effects in the East Asia container port industry. Maritime Policy and Management, 39(4), 369–386.

    Article  Google Scholar 

  47. Luo, M., Fan, L., Wilson, W.W (2014). Firm growth and market concentration in liner shipping. Journal of Transport Economics and Policy, 48(1), 171–187.

    Google Scholar 

  48. Maloni, M., Paul, J.A., Gligor, M.G. (2013). Slow steaming impacts on ocean carriers and shippers. Maritime Economics & Logistics, 15, 151–171.

    Article  Google Scholar 

  49. Marine Department (2006). Port Benchmarking for Assessing Hong Kong’s Maritime Services and Associated Costs with other Major International Ports. Resource document. Marine department http://www.mardep.gov.hk/en/publication/pdf/port_bm_study.pdf, Accessed 02 March 2014.

  50. McCalla, R., Slack, B., Comtois, C. (2005). The Caribbean basin: adjusting to global trends in containerization. Maritime Policy & Management, 32(3), 245–261.

    Article  Google Scholar 

  51. Meng, Q., Wang, S., Andersson, H., Thun, K. (2013). Containership routing and scheduling in liner shipping: Overview and future research directions. Transportation Science, forthcoming.

  52. Montes, C.P., Seoane, M.J.F., Laxe, F.G. (2012). Proximity foreland evolution in main containership ports using complex networks theory (2008-2011). In: Proceedings of IAME Conference, Taipei, Taiwan.

  53. Montes, C.P., Seoane, M.J.F., Laxe, F.G (2012). General cargo and containership emergent routes: A complex networks description. Transport Policy, 24, 126–140.

    Article  Google Scholar 

  54. Newman, M.E.J. (2011). Networks – an introduction. Oxford: University Press.

    Google Scholar 

  55. Opsahl, T., Agneessens, F., Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32, 245–251.

    Article  Google Scholar 

  56. OSC- Ocean Shipping Consultants. (2007). Containerport markets in the Middle East and South Asia to 2020. Chertsey: Ocean Shipping Consultants.

    Google Scholar 

  57. OSC -Ocean Shipping Consultants. (2012a). North European Containerport Markets to 2025. Chertsey: Ocean Shipping Consultants.

    Google Scholar 

  58. OSC -Ocean Shipping Consultants. (2012b). South Europe and Mediteranean Containerport Markets to 2025:. Chertsey: Ocean Shipping Consultants.

    Google Scholar 

  59. OSC -Ocean Shipping Consultants. (2013). East Asia Containerport Markets to 2025. Chertsey: Ocean Shipping Consultants.

    Google Scholar 

  60. Parola, F., Lee, S.W., Ferrari, C. (2006). Economic integration and logistics restructuring: Rising opportunities for shipping lines in East Asia. In: Proceedings of IAME Conference, Melbourne, Australia.

  61. Robinson, R. (1998). Asian hub/feeder nets: the dynamics of restructuring. Maritime Policy & Management, 25 (1), 21–40.

    Article  Google Scholar 

  62. Rodrigue, J.P., Comtois, C., Slack, B. (2009). The Geography of Transport Systems. New York: Routledge.

    Google Scholar 

  63. Seoane, M.J.F., Laxe, F.G., Montes, C.P. (2013). Emergent containership traffic in the South Atlantic port system: a complex networks analysis (2007-2011). In: Proceedings of IAME Conference. Marseille, France.

  64. Seoane, M.J.F., Laxe, F.G., Montes, C.P. (2013). Foreland determination for containership and general cargo ports in Europe (2007–2011). Journal of Transport Geography, 30, 56–67.

    Article  Google Scholar 

  65. Song, D.P., & Carter, J. (2009). Empty container repositioning in liner shipping. Maritime Policy & Management, 36(4), 291–307.

    Article  Google Scholar 

  66. Song, D.P., & Dong, J.X. (2012). Cargo routing and empty container repositioning in multiple shipping service routes. Transportation Research Part B, 46, 1556–1575.

    Article  Google Scholar 

  67. Stopford, M. (2009). Maritime Economics. London and New York: Routledge.

    Book  Google Scholar 

  68. Sys, C. (2009). Is the container liner shipping industry oligopoly? Transport Policy, 16, 259–270.

    Article  Google Scholar 

  69. Tran, N. K. (2011). Studying port selection on liner routes: An approach from logistics perspective. Research in Transportation Economics, 32, 39–53.

    Article  Google Scholar 

  70. Tran, N.K., & Haasis, H.D (2013). Literature survey of network optimization in container liner shipping. Flexible Services and Manufacturing Journal, forthcoming.

  71. Tran, N.K. (2014). An empirical study of fleet expansion and growth of ship size in container liner shipping. International Journal of Production Economics, forthcoming.

  72. Ugboma, C., Ugboma, O., Ogwude, I.C. (2006). An analytic hierarchy process (AHP) approach to port selection decisions – Empirical evidence from Nigerian ports. Maritime Economics & Logistics, 8, 251–266.

    Article  Google Scholar 

  73. UNCTAD (2013). Review of Maritime Transport. Geneva: United Nations.

  74. Veenstra, A.W., & Mulder, H.M. (2005). Analysing container flows in the Caribbean. Journal of Transport Geography, 13, 295–305.

    Article  Google Scholar 

  75. Veldman, S. (2003). A model on Container port Competition: An Application for the West European Container Hub-ports. Maritime Economics & Logistics, 5, 3–22.

    Article  Google Scholar 

  76. Wang, C., & Wang, J. (2011). Spatial pattern of the global shipping network and its hub-and-spoke system. Research in Transportation Economics, 32, 54–63.

    Article  Google Scholar 

  77. Wang, J.J., & Ng, A.K.Y. (2011). The geographical connectedness of Chinese seaports with foreland markets: a new trend? Tijdschrift voor Economische en Sociale Geografie, 102(2), 188–204.

    Article  Google Scholar 

  78. Wang, T. (2004). Analysis of the Container Port Industry Using Efficiency Measurement: A Comparison of China with its International Counterparts. Unpublised PhD thesis The Hong Kong Poly Technic University, Hong Kong.

  79. Wang, Y., & Cullinane, K. (2008). Measuring Container Port Accessibility: An Application of the Principal Eigenvector Method (PEM). Maritime Economics & Logistics, 2008(10), 75–89.

    Article  Google Scholar 

  80. Wang, Y. (2013). Multiple centrality assessment of ports in maritime container transportation. In: Proceedings of IAME conference, Marseille, France.

  81. Wasserman, S., & Faust, K. (1995). Social network analysis – methods and applications. Cambridge: Cambride University Press.

    Google Scholar 

  82. Wilmsmeier, G., & Notteboom, T. (2009). Determinants of liner shippping network configuration: A two-region comparison. GeoJournal, 76(3), 213–228.

    Article  Google Scholar 

  83. Yap, W.Y. (2011). Dynamics of Liner Shipping Service Scheduling and Their Impact on Container Port Competition. Maritime Policy and Management, 38(5), 471–485.

    Article  Google Scholar 

  84. Zurheide, S., & Fischer, K. (2012). A revenue management slot allocation model for liner shipping networks. Maritime Economics & Logistics, 14, 334–361.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nguyen Khoi Tran.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tran, N.K., Haasis, HD. Empirical analysis of the container liner shipping network on the East-West corridor (1995–2011). Netnomics 15, 121–153 (2014). https://doi.org/10.1007/s11066-014-9088-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11066-014-9088-x

Keywords

Navigation