The vulnerability of the global container shipping network to targeted link disruption

Using complex network theory to describe the relational geography of maritime networks has provided great insights regarding their hierarchy and evolution over the past two decades. Unlike applications in other transport fields, notably air transport, complex network theory has had limited application in studying the vulnerability of maritime networks. This study uses targeted link disruption to investigate the strategy specific vulnerability of the network. Although nodal infrastructure such as ports can render a network vulnerable as a result of labour strikes, trade embargoes or natural disasters, it is the shipping lines connecting the ports that are more probably disrupted, either from within the industry, or outside. In this paper, we apply and evaluate two link-based disruption strategies on the global container shipping network, one based on link betweenness, and the other on link salience, to emulate the impact of large-scale service reconfiguration affecting priority links. The results show that the network is by and large robust to such reconfiguration. Meanwhile the flexibility of the network is reduced by both strategies, but to a greater degree by betweenness, resulting in a reduction of transshipment and dynamic rerouting potential amongst the busiest port regions. The results further show that the salience strategy is highly effective in reducing the commonality of shortest path sets, thereby diminishing opportunities for freight consolidation and scale economies.

[1]  Marián Boguñá,et al.  Extracting the multiscale backbone of complex weighted networks , 2009, Proceedings of the National Academy of Sciences.

[2]  Cohen,et al.  Resilience of the internet to random breakdowns , 2000, Physical review letters.

[3]  Marc Barthelemy,et al.  Spatial Networks , 2010, Encyclopedia of Social Network Analysis and Mining.

[4]  Hans J. Herrmann,et al.  Mitigation of malicious attacks on networks , 2011, Proceedings of the National Academy of Sciences.

[5]  Yanghua Xiao,et al.  Damage attack on complex networks , 2014 .

[6]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[7]  Beom Jun Kim,et al.  Attack vulnerability of complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[9]  César Ducruet,et al.  The polarization of global container flows by interoceanic canals: geographic coverage and network vulnerability , 2012 .

[10]  James P. Bagrow,et al.  Robustness of skeletons and salient features in networks , 2013, J. Complex Networks.

[11]  Adolf K.Y. Ng,et al.  Centrality and vulnerability in liner shipping networks: revisiting the Northeast Asian port hierarchy , 2010 .

[12]  Theo Notteboom,et al.  Peripherality in the global container shipping network: the case of the Southern African container port system , 2014, GeoJournal.

[13]  Ling-Yun Wu,et al.  Structure and dynamics of core/periphery networks , 2013, J. Complex Networks.

[14]  Adam Rose,et al.  ESTIMATING THE ECONOMIC CONSEQUENCES OF A PORT SHUTDOWN: THE SPECIAL ROLE OF RESILIENCE , 2013 .

[15]  Francesca Medda,et al.  A Review of the Maritime Container Shipping Industry as a Complex Adaptive System , 2012 .

[16]  S. Havlin,et al.  Breakdown of the internet under intentional attack. , 2000, Physical review letters.

[17]  Morton E. O’Kelly,et al.  Network Hub Structure and Resilience , 2014, Networks and Spatial Economics.

[18]  María Jesús Freire Seoane,et al.  General cargo and containership emergent routes: A complex networks description , 2012 .

[19]  D S Callaway,et al.  Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.

[20]  Colin S Gillespie,et al.  Fitting Heavy Tailed Distributions: The poweRlaw Package , 2014, 1407.3492.

[21]  Oriol Lordan,et al.  Robustness of airline route networks , 2016 .

[22]  Alan T. Murray,et al.  Comparative Approaches for Assessing Network Vulnerability , 2008 .

[23]  Oriol Lordan,et al.  Robustness of airline alliance route networks , 2015, Commun. Nonlinear Sci. Numer. Simul..

[24]  John J. Bartholdi,et al.  A new connectivity index for container ports , 2016 .

[25]  Faraz Zaidi,et al.  Ports in multi-level maritime networks: Evidence from the Atlantic (1996-2006) , 2010 .

[26]  Xiao Zhang,et al.  Identification of core-periphery structure in networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Piet Van Mieghem,et al.  Robustness envelopes of networks , 2013, J. Complex Networks.

[28]  C. Ducruet,et al.  Port integration in China: Temporal pathways, spatial patterns and dynamics , 2015, Chinese Geographical Science.

[29]  Kun Zhao,et al.  New attack strategies for complex networks , 2015 .

[30]  Paola Papa,et al.  US and EU strategies for maritime transport security: A comparative perspective , 2013 .

[31]  César A. Hidalgo,et al.  Scale-free networks , 2008, Scholarpedia.

[32]  Christian Thiemann,et al.  Robust classification of salient links in complex networks. , 2012, Nature communications.

[33]  Marco Tomassini,et al.  Smart Rewiring for Network Robustness , 2013, J. Complex Networks.

[34]  Patrick Thiran,et al.  Extraction and analysis of traffic and topologies of transportation networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[36]  V. Latora,et al.  Efficiency of scale-free networks: error and attack tolerance , 2002, cond-mat/0205601.

[37]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[38]  Oriol Lordan,et al.  Study of the full-service and low-cost carriers network configuration , 2014 .

[39]  Sriram Khé The Box: How the Shipping Container Made the World Smaller and the World Economy Bigger , 2008 .

[40]  Mason A. Porter,et al.  Core-Periphery Structure in Networks , 2012, SIAM J. Appl. Math..

[41]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[42]  Oriol Lordan,et al.  Robustness of the air transport network , 2014 .

[43]  Carlos H. C. Ribeiro,et al.  Rethinking failure and attack tolerance assessment in complex networks , 2011 .

[44]  Wei Cui,et al.  Vulnerability of complex networks under path-based attacks , 2015 .

[45]  A. Louisa,et al.  コロイド混合体における有効力 空乏引力から集積斥力へ | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 2002 .

[46]  T. Notteboom,et al.  The worldwide maritime network of container shipping: Spatial structure and regional dynamics , 2012 .

[47]  Soundar R. T. Kumara,et al.  Survivability of multiagent-based supply networks: a topological perspect , 2004, IEEE Intelligent Systems.

[48]  Michael T. Gastner,et al.  The complex network of global cargo ship movements , 2010, Journal of The Royal Society Interface.

[49]  Daoli Zhu,et al.  Empirical analysis of the worldwide maritime transportation network , 2008, 0806.0472.

[50]  César Ducruet,et al.  Regional integration and maritime connectivity across the Maghreb seaport system , 2016 .

[51]  César Ducruet,et al.  Network diversity and maritime flows , 2013 .